diff --git "a/\344\270\200\347\217\255-1825101045-\346\235\250\347\245\211.ipynb" "b/\344\270\200\347\217\255-1825101045-\346\235\250\347\245\211.ipynb" index ac68eb7ea6e6e3cd77c028dfd1f8679e0146cc75..19f9033a8ea46d9033f91fec0675ab4bcd568a61 100644 --- "a/\344\270\200\347\217\255-1825101045-\346\235\250\347\245\211.ipynb" +++ "b/\344\270\200\347\217\255-1825101045-\346\235\250\347\245\211.ipynb" @@ -95,8 +95,8 @@ "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2020-06-30T02:54:55.500263Z", - "start_time": "2020-06-30T02:54:54.444909Z" + "end_time": "2020-06-30T13:03:48.873911Z", + "start_time": "2020-06-30T13:03:46.090417Z" } }, "outputs": [], @@ -166,8 +166,8 @@ "execution_count": 2, "metadata": { "ExecuteTime": { - "end_time": "2020-06-30T02:54:55.580119Z", - "start_time": "2020-06-30T02:54:55.501297Z" + "end_time": "2020-06-30T13:03:49.222500Z", + "start_time": "2020-06-30T13:03:48.877903Z" } }, "outputs": [ @@ -208,51 +208,100 @@ " \n", " \n", " Micron Technology: Insanely Cheap Stock Given Its High Earnings Quality\n", - " MU\n", + " [MU]\n", " Dec. 31, 2018, 7:57 PM\n", " Ruerd Heeg\n", " 75\n", " \n", " \n", " Molson Coors Seems Attractive At These Valuations\n", - " TAP\n", + " [TAP]\n", " Dec. 31, 2018, 7:44 PM\n", " Sanjit Deepalam\n", " 16\n", " \n", " \n", " Gerdau: The Brazilian Play On U.S. Steel\n", - " GGB\n", + " [GGB]\n", " Dec. 31, 2018, 7:10 PM\n", " Shannon Bruce\n", " 1\n", " \n", " \n", " Will Apple Get Its Mojo Back?\n", - " AAPL\n", + " [AAPL]\n", " Dec. 31, 2018, 5:36 PM\n", " TipRanks\n", " 68\n", " \n", " \n", " Lululemon Stock Looks Compelling On This Dip\n", - " LULU\n", + " [LULU]\n", " Dec. 31, 2018, 5:26 PM\n", " L&F Capital Management\n", " 4\n", " \n", + " \n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " \n", + " \n", + " Overstock: The Perfect Stock Blockchain Play\n", + " [OSTK]\n", + " Jan. 1, 2018, 6:54 AM\n", + " Opaque Investors\n", + " 47\n", + " \n", + " \n", + " 2017: The Year The Unicorn Died\n", + " [UBER, SFTBF, SFTBY]\n", + " Jan. 1, 2018, 6:54 AM\n", + " Mark St. Cyr\n", + " 5\n", + " \n", + " \n", + " Big Changes For Centurylink, AT&T And Verizon In 2018\n", + " [CTL, T, VZ]\n", + " Jan. 1, 2018, 5:38 AM\n", + " EconDad\n", + " 32\n", + " \n", + " \n", + " UPS: If The Founders Were Alive Today\n", + " [UPS]\n", + " Jan. 1, 2018, 5:11 AM\n", + " Roger Gaebel\n", + " 15\n", + " \n", + " \n", + " U.S. Silica - Buying The Dip Of This Booming Company\n", + " [SLCA]\n", + " Jan. 1, 2018, 12:20 AM\n", + " The Value Investor\n", + " 27\n", + " \n", " \n", "\n", + "

17928 rows × 4 columns

\n", "" ], "text/plain": [ - " 针对公司 \\\n", - "标题 \n", - "Micron Technology: Insanely Cheap Stock Given I... MU \n", - "Molson Coors Seems Attractive At These Valuations TAP \n", - "Gerdau: The Brazilian Play On U.S. Steel GGB \n", - "Will Apple Get Its Mojo Back? AAPL \n", - "Lululemon Stock Looks Compelling On This Dip LULU \n", + " 针对公司 \\\n", + "标题 \n", + "Micron Technology: Insanely Cheap Stock Given I... [MU] \n", + "Molson Coors Seems Attractive At These Valuations [TAP] \n", + "Gerdau: The Brazilian Play On U.S. Steel [GGB] \n", + "Will Apple Get Its Mojo Back? [AAPL] \n", + "Lululemon Stock Looks Compelling On This Dip [LULU] \n", + "... ... \n", + "Overstock: The Perfect Stock Blockchain Play [OSTK] \n", + "2017: The Year The Unicorn Died [UBER, SFTBF, SFTBY] \n", + "Big Changes For Centurylink, AT&T And Verizon I... [CTL, T, VZ] \n", + "UPS: If The Founders Were Alive Today [UPS] \n", + "U.S. Silica - Buying The Dip Of This Booming Co... [SLCA] \n", "\n", " 发布时间 \\\n", "标题 \n", @@ -261,6 +310,12 @@ "Gerdau: The Brazilian Play On U.S. Steel Dec. 31, 2018, 7:10 PM \n", "Will Apple Get Its Mojo Back? Dec. 31, 2018, 5:36 PM \n", "Lululemon Stock Looks Compelling On This Dip Dec. 31, 2018, 5:26 PM \n", + "... ... \n", + "Overstock: The Perfect Stock Blockchain Play Jan. 1, 2018, 6:54 AM \n", + "2017: The Year The Unicorn Died Jan. 1, 2018, 6:54 AM \n", + "Big Changes For Centurylink, AT&T And Verizon I... Jan. 1, 2018, 5:38 AM \n", + "UPS: If The Founders Were Alive Today Jan. 1, 2018, 5:11 AM \n", + "U.S. Silica - Buying The Dip Of This Booming Co... Jan. 1, 2018, 12:20 AM \n", "\n", " 作者 \\\n", "标题 \n", @@ -269,6 +324,12 @@ "Gerdau: The Brazilian Play On U.S. Steel Shannon Bruce \n", "Will Apple Get Its Mojo Back? TipRanks \n", "Lululemon Stock Looks Compelling On This Dip L&F Capital Management \n", + "... ... \n", + "Overstock: The Perfect Stock Blockchain Play Opaque Investors \n", + "2017: The Year The Unicorn Died Mark St. Cyr \n", + "Big Changes For Centurylink, AT&T And Verizon I... EconDad \n", + "UPS: If The Founders Were Alive Today Roger Gaebel \n", + "U.S. Silica - Buying The Dip Of This Booming Co... The Value Investor \n", "\n", " 评论数 \n", "标题 \n", @@ -276,7 +337,15 @@ "Molson Coors Seems Attractive At These Valuations 16 \n", "Gerdau: The Brazilian Play On U.S. Steel 1 \n", "Will Apple Get Its Mojo Back? 68 \n", - "Lululemon Stock Looks Compelling On This Dip 4 " + "Lululemon Stock Looks Compelling On This Dip 4 \n", + "... .. \n", + "Overstock: The Perfect Stock Blockchain Play 47 \n", + "2017: The Year The Unicorn Died 5 \n", + "Big Changes For Centurylink, AT&T And Verizon I... 32 \n", + "UPS: If The Founders Were Alive Today 15 \n", + "U.S. Silica - Buying The Dip Of This Booming Co... 27 \n", + "\n", + "[17928 rows x 4 columns]" ] }, "execution_count": 2, @@ -294,8 +363,12 @@ "# 评论数去除Comments无用字段\n", "Title_data[\"评论数\"] = Title_data[\"评论数\"].str.extract(\"([0-9]+)\")\n", "\n", - "# 显示前五行内容\n", - "Title_data.head()" + "# 针对公司处理\n", + "Title_data[\"针对公司\"] = Title_data[\"针对公司\"].str.replace(\" \", \"\")\n", + "Title_data[\"针对公司\"] = Title_data[\"针对公司\"].str.split(\",\")\n", + "\n", + "# 显示内容\n", + "Title_data" ] }, { @@ -318,8 +391,8 @@ "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2020-06-30T02:54:55.705015Z", - "start_time": "2020-06-30T02:54:55.581124Z" + "end_time": "2020-06-30T13:03:49.594504Z", + "start_time": "2020-06-30T13:03:49.226491Z" } }, "outputs": [ @@ -386,8 +459,45 @@ " [AAPL]\n", " SummaryApple has exhibited strong segment grow...\n", " \n", + " \n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " \n", + " \n", + " Cushman & Wakefield Proposes Terms For $765 Million IPO\n", + " Jul. 24, 2018 2:18 PM\n", + " [CWK]\n", + " SummaryCushman & Wakefield has filed proposed ...\n", + " \n", + " \n", + " Quantamental Focus: Home Depot A Top Buy, With Improving Operating Profitability\n", + " Jul. 24, 2018 2:16 PM\n", + " [HD]\n", + " SummaryHome Depot Inc. is a specialty retailer...\n", + " \n", + " \n", + " Rubicon Technology: A Promising Net-Net Cash-Box Situation\n", + " Jul. 24, 2018 2:16 PM\n", + " [RBCN]\n", + " SummaryRubicon is trading well below likely li...\n", + " \n", + " \n", + " Stamps.com: A Cash Machine\n", + " Jul. 24, 2018 1:57 PM\n", + " [STMP]\n", + " SummaryThe Momentum Growth Quotient for the co...\n", + " \n", + " \n", + " Can Heineken Turn The 'Mallya Drama' In Its Own Favor?\n", + " Jul. 24, 2018 1:24 PM\n", + " [HEINY]\n", + " SummaryMallya, United Breweries' chairman, can...\n", + " \n", " \n", "\n", + "

10131 rows × 3 columns

\n", "" ], "text/plain": [ @@ -398,14 +508,26 @@ "Apple Makes A China Move Apr. 1, 2019 7:21 PM \n", "Polaris Industries: Ready To Rally Apr. 1, 2019 7:14 PM \n", "How Apple Will Return A Minimum Of 8% By The En... Apr. 1, 2019 5:03 PM \n", + "... ... \n", + "Cushman & Wakefield Proposes Terms For $765 Mil... Jul. 24, 2018 2:18 PM \n", + "Quantamental Focus: Home Depot A Top Buy, With ... Jul. 24, 2018 2:16 PM \n", + "Rubicon Technology: A Promising Net-Net Cash-Bo... Jul. 24, 2018 2:16 PM \n", + "Stamps.com: A Cash Machine Jul. 24, 2018 1:57 PM \n", + "Can Heineken Turn The 'Mallya Drama' In Its Own... Jul. 24, 2018 1:24 PM \n", "\n", - " 针对公司 \\\n", - "标题 \n", - "HealthEquity: Strong Growth May Be Slowing Head... [HQY] \n", - "Valero May Rally Up To 40% Within The Next 12 M... [VLO] \n", - "Apple Makes A China Move [AAPL] \n", - "Polaris Industries: Ready To Rally [PII] \n", - "How Apple Will Return A Minimum Of 8% By The En... [AAPL] \n", + " 针对公司 \\\n", + "标题 \n", + "HealthEquity: Strong Growth May Be Slowing Head... [HQY] \n", + "Valero May Rally Up To 40% Within The Next 12 M... [VLO] \n", + "Apple Makes A China Move [AAPL] \n", + "Polaris Industries: Ready To Rally [PII] \n", + "How Apple Will Return A Minimum Of 8% By The En... [AAPL] \n", + "... ... \n", + "Cushman & Wakefield Proposes Terms For $765 Mil... [CWK] \n", + "Quantamental Focus: Home Depot A Top Buy, With ... [HD] \n", + "Rubicon Technology: A Promising Net-Net Cash-Bo... [RBCN] \n", + "Stamps.com: A Cash Machine [STMP] \n", + "Can Heineken Turn The 'Mallya Drama' In Its Own... [HEINY] \n", "\n", " 摘要 \n", "标题 \n", @@ -413,7 +535,15 @@ "Valero May Rally Up To 40% Within The Next 12 M... SummaryValero is ideally positioned to benefit... \n", "Apple Makes A China Move SummaryCompany cuts prices on many key product... \n", "Polaris Industries: Ready To Rally SummaryPolaris is a well-respected brand name ... \n", - "How Apple Will Return A Minimum Of 8% By The En... SummaryApple has exhibited strong segment grow... " + "How Apple Will Return A Minimum Of 8% By The En... SummaryApple has exhibited strong segment grow... \n", + "... ... \n", + "Cushman & Wakefield Proposes Terms For $765 Mil... SummaryCushman & Wakefield has filed proposed ... \n", + "Quantamental Focus: Home Depot A Top Buy, With ... SummaryHome Depot Inc. is a specialty retailer... \n", + "Rubicon Technology: A Promising Net-Net Cash-Bo... SummaryRubicon is trading well below likely li... \n", + "Stamps.com: A Cash Machine SummaryThe Momentum Growth Quotient for the co... \n", + "Can Heineken Turn The 'Mallya Drama' In Its Own... SummaryMallya, United Breweries' chairman, can... \n", + "\n", + "[10131 rows x 3 columns]" ] }, "execution_count": 3, @@ -441,7 +571,7 @@ " lambda x: [\"\".join(re.findall('[(](.*?)[)]', i, re.S)) for i in x if not i.find(\"(\") == -1])\n", "\n", "# 显示前五行内容\n", - "Content_data.head()" + "Content_data" ] }, { @@ -453,11 +583,11 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2020-06-30T06:21:59.634320Z", - "start_time": "2020-06-30T06:21:57.230832Z" + "end_time": "2020-06-30T13:03:54.208850Z", + "start_time": "2020-06-30T13:03:49.598494Z" } }, "outputs": [ @@ -536,8 +666,63 @@ " LULU\n", " Dec. 31, 2018 5:26 PM\n", " \n", + " \n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " \n", + " \n", + " Stamps.com: A Cash Machine\n", + " Stamps.com: A Cash Machine\n", + " ChartMasterPro\n", + " 1\n", + " SummaryThe Momentum Growth Quotient for the co...\n", + " STMP\n", + " Jul. 24, 2018 1:57 PM\n", + " \n", + " \n", + " Can Heineken Turn The 'Mallya Drama' In Its Own Favor?\n", + " Can Heineken Turn The 'Mallya Drama' In Its Ow...\n", + " The Millennial Investor\n", + " 4\n", + " SummaryMallya, United Breweries' chairman, can...\n", + " HEINY\n", + " Jul. 24, 2018 1:24 PM\n", + " \n", + " \n", + " Thor Industries Is Undervalued\n", + " Thor Industries Is Undervalued\n", + " Quinn Foley\n", + " 22\n", + " SummaryThor and other RV makers became signifi...\n", + " THO\n", + " Feb. 4, 2019 8:19 AM\n", + " \n", + " \n", + " Xinyuan Real Estate: The Path Is Becoming Clearer\n", + " Xinyuan Real Estate: The Path Is Becoming Clearer\n", + " WG Investment Research\n", + " 6\n", + " SummaryXinyuan's stock has performed well so f...\n", + " XIN\n", + " Feb. 19, 2019 12:00 PM\n", + " \n", + " \n", + " Lockheed Martin: The Sky Is The Limit\n", + " Lockheed Martin: The Sky Is The Limit\n", + " Michael J. Bernard\n", + " 56\n", + " SummaryLockheed Martin exhibits strong competi...\n", + " LMT\n", + " Feb. 13, 2019 3:22 PM\n", + " \n", " \n", "\n", + "

5898 rows × 6 columns

\n", "" ], "text/plain": [ @@ -547,13 +732,25 @@ "Gerdau: The Brazilian Play On U.S. Steel Gerdau: The Brazilian Play On U.S. Steel \n", "Will Apple Get Its Mojo Back? Will Apple Get Its Mojo Back? \n", "Lululemon Stock Looks Compelling On This Dip Lululemon Stock Looks Compelling On This Dip \n", + "... ... \n", + "Stamps.com: A Cash Machine Stamps.com: A Cash Machine \n", + "Can Heineken Turn The 'Mallya Drama' In Its Own... Can Heineken Turn The 'Mallya Drama' In Its Ow... \n", + "Thor Industries Is Undervalued Thor Industries Is Undervalued \n", + "Xinyuan Real Estate: The Path Is Becoming Clearer Xinyuan Real Estate: The Path Is Becoming Clearer \n", + "Lockheed Martin: The Sky Is The Limit Lockheed Martin: The Sky Is The Limit \n", "\n", - " 作者 \\\n", - "Micron Technology: Insanely Cheap Stock Given I... Ruerd Heeg \n", - "Molson Coors Seems Attractive At These Valuations Sanjit Deepalam \n", - "Gerdau: The Brazilian Play On U.S. Steel Shannon Bruce \n", - "Will Apple Get Its Mojo Back? TipRanks \n", - "Lululemon Stock Looks Compelling On This Dip L&F Capital Management \n", + " 作者 \\\n", + "Micron Technology: Insanely Cheap Stock Given I... Ruerd Heeg \n", + "Molson Coors Seems Attractive At These Valuations Sanjit Deepalam \n", + "Gerdau: The Brazilian Play On U.S. Steel Shannon Bruce \n", + "Will Apple Get Its Mojo Back? TipRanks \n", + "Lululemon Stock Looks Compelling On This Dip L&F Capital Management \n", + "... ... \n", + "Stamps.com: A Cash Machine ChartMasterPro \n", + "Can Heineken Turn The 'Mallya Drama' In Its Own... The Millennial Investor \n", + "Thor Industries Is Undervalued Quinn Foley \n", + "Xinyuan Real Estate: The Path Is Becoming Clearer WG Investment Research \n", + "Lockheed Martin: The Sky Is The Limit Michael J. Bernard \n", "\n", " 评论数 \\\n", "Micron Technology: Insanely Cheap Stock Given I... 75 \n", @@ -561,6 +758,12 @@ "Gerdau: The Brazilian Play On U.S. Steel 1 \n", "Will Apple Get Its Mojo Back? 68 \n", "Lululemon Stock Looks Compelling On This Dip 4 \n", + "... .. \n", + "Stamps.com: A Cash Machine 1 \n", + "Can Heineken Turn The 'Mallya Drama' In Its Own... 4 \n", + "Thor Industries Is Undervalued 22 \n", + "Xinyuan Real Estate: The Path Is Becoming Clearer 6 \n", + "Lockheed Martin: The Sky Is The Limit 56 \n", "\n", " 摘要 \\\n", "Micron Technology: Insanely Cheap Stock Given I... SummaryLast year, a combination of relatively ... \n", @@ -568,23 +771,43 @@ "Gerdau: The Brazilian Play On U.S. Steel SummaryGerdau is delivering good results, incl... \n", "Will Apple Get Its Mojo Back? SummaryApple has been resting on a reputation ... \n", "Lululemon Stock Looks Compelling On This Dip SummaryLululemon stock had a strong 2018 but f... \n", + "... ... \n", + "Stamps.com: A Cash Machine SummaryThe Momentum Growth Quotient for the co... \n", + "Can Heineken Turn The 'Mallya Drama' In Its Own... SummaryMallya, United Breweries' chairman, can... \n", + "Thor Industries Is Undervalued SummaryThor and other RV makers became signifi... \n", + "Xinyuan Real Estate: The Path Is Becoming Clearer SummaryXinyuan's stock has performed well so f... \n", + "Lockheed Martin: The Sky Is The Limit SummaryLockheed Martin exhibits strong competi... \n", "\n", - " 针对公司 \\\n", - "Micron Technology: Insanely Cheap Stock Given I... MU \n", - "Molson Coors Seems Attractive At These Valuations TAP \n", - "Gerdau: The Brazilian Play On U.S. Steel GGB \n", - "Will Apple Get Its Mojo Back? AAPL \n", - "Lululemon Stock Looks Compelling On This Dip LULU \n", + " 针对公司 \\\n", + "Micron Technology: Insanely Cheap Stock Given I... MU \n", + "Molson Coors Seems Attractive At These Valuations TAP \n", + "Gerdau: The Brazilian Play On U.S. Steel GGB \n", + "Will Apple Get Its Mojo Back? AAPL \n", + "Lululemon Stock Looks Compelling On This Dip LULU \n", + "... ... \n", + "Stamps.com: A Cash Machine STMP \n", + "Can Heineken Turn The 'Mallya Drama' In Its Own... HEINY \n", + "Thor Industries Is Undervalued THO \n", + "Xinyuan Real Estate: The Path Is Becoming Clearer XIN \n", + "Lockheed Martin: The Sky Is The Limit LMT \n", "\n", " 发布时间 \n", "Micron Technology: Insanely Cheap Stock Given I... Dec. 31, 2018 7:57 PM \n", "Molson Coors Seems Attractive At These Valuations Dec. 31, 2018 7:44 PM \n", "Gerdau: The Brazilian Play On U.S. Steel Dec. 31, 2018 7:10 PM \n", "Will Apple Get Its Mojo Back? Dec. 31, 2018 5:36 PM \n", - "Lululemon Stock Looks Compelling On This Dip Dec. 31, 2018 5:26 PM " + "Lululemon Stock Looks Compelling On This Dip Dec. 31, 2018 5:26 PM \n", + "... ... \n", + "Stamps.com: A Cash Machine Jul. 24, 2018 1:57 PM \n", + "Can Heineken Turn The 'Mallya Drama' In Its Own... Jul. 24, 2018 1:24 PM \n", + "Thor Industries Is Undervalued Feb. 4, 2019 8:19 AM \n", + "Xinyuan Real Estate: The Path Is Becoming Clearer Feb. 19, 2019 12:00 PM \n", + "Lockheed Martin: The Sky Is The Limit Feb. 13, 2019 3:22 PM \n", + "\n", + "[5898 rows x 6 columns]" ] }, - "execution_count": 35, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -596,10 +819,8 @@ "\n", "def UpdateCompany(x):\n", " try:\n", - " if(x[\"针对公司_x\"]):\n", - " return x[\"针对公司_x\"]\n", - " else:\n", - " return x[\"针对公司_y\"][0]\n", + " x[\"针对公司_x\"].extend(x[\"针对公司_y\"])\n", + " return \",\".join(np.unique(x[\"针对公司_x\"]))\n", " except:\n", " return np.NAN\n", "\n", @@ -627,7 +848,7 @@ "Title_Content_data.dropna(axis=0, how='any', subset=[\n", " \"发布时间\", \"针对公司\", \"评论数\"], inplace=True)\n", "\n", - "Title_Content_data.head()" + "Title_Content_data" ] }, { @@ -639,11 +860,11 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 5, "metadata": { "ExecuteTime": { - "end_time": "2020-06-30T06:22:02.931427Z", - "start_time": "2020-06-30T06:22:02.844691Z" + "end_time": "2020-06-30T13:03:54.376403Z", + "start_time": "2020-06-30T13:03:54.213841Z" } }, "outputs": [ @@ -722,8 +943,63 @@ " LULU\n", " 2018-12-31\n", " \n", + " \n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " ...\n", + " \n", + " \n", + " Stamps.com: A Cash Machine\n", + " Stamps.com: A Cash Machine\n", + " ChartMasterPro\n", + " 1\n", + " SummaryThe Momentum Growth Quotient for the co...\n", + " STMP\n", + " 2018-07-24\n", + " \n", + " \n", + " Can Heineken Turn The 'Mallya Drama' In Its Own Favor?\n", + " Can Heineken Turn The 'Mallya Drama' In Its Ow...\n", + " The Millennial Investor\n", + " 4\n", + " SummaryMallya, United Breweries' chairman, can...\n", + " HEINY\n", + " 2018-07-24\n", + " \n", + " \n", + " Thor Industries Is Undervalued\n", + " Thor Industries Is Undervalued\n", + " Quinn Foley\n", + " 22\n", + " SummaryThor and other RV makers became signifi...\n", + " THO\n", + " 2019-02-04\n", + " \n", + " \n", + " Xinyuan Real Estate: The Path Is Becoming Clearer\n", + " Xinyuan Real Estate: The Path Is Becoming Clearer\n", + " WG Investment Research\n", + " 6\n", + " SummaryXinyuan's stock has performed well so f...\n", + " XIN\n", + " 2019-02-19\n", + " \n", + " \n", + " Lockheed Martin: The Sky Is The Limit\n", + " Lockheed Martin: The Sky Is The Limit\n", + " Michael J. Bernard\n", + " 56\n", + " SummaryLockheed Martin exhibits strong competi...\n", + " LMT\n", + " 2019-02-13\n", + " \n", " \n", "\n", + "

5898 rows × 6 columns

\n", "" ], "text/plain": [ @@ -733,13 +1009,25 @@ "Gerdau: The Brazilian Play On U.S. Steel Gerdau: The Brazilian Play On U.S. Steel \n", "Will Apple Get Its Mojo Back? Will Apple Get Its Mojo Back? \n", "Lululemon Stock Looks Compelling On This Dip Lululemon Stock Looks Compelling On This Dip \n", + "... ... \n", + "Stamps.com: A Cash Machine Stamps.com: A Cash Machine \n", + "Can Heineken Turn The 'Mallya Drama' In Its Own... Can Heineken Turn The 'Mallya Drama' In Its Ow... \n", + "Thor Industries Is Undervalued Thor Industries Is Undervalued \n", + "Xinyuan Real Estate: The Path Is Becoming Clearer Xinyuan Real Estate: The Path Is Becoming Clearer \n", + "Lockheed Martin: The Sky Is The Limit Lockheed Martin: The Sky Is The Limit \n", "\n", - " 作者 \\\n", - "Micron Technology: Insanely Cheap Stock Given I... Ruerd Heeg \n", - "Molson Coors Seems Attractive At These Valuations Sanjit Deepalam \n", - "Gerdau: The Brazilian Play On U.S. Steel Shannon Bruce \n", - "Will Apple Get Its Mojo Back? TipRanks \n", - "Lululemon Stock Looks Compelling On This Dip L&F Capital Management \n", + " 作者 \\\n", + "Micron Technology: Insanely Cheap Stock Given I... Ruerd Heeg \n", + "Molson Coors Seems Attractive At These Valuations Sanjit Deepalam \n", + "Gerdau: The Brazilian Play On U.S. Steel Shannon Bruce \n", + "Will Apple Get Its Mojo Back? TipRanks \n", + "Lululemon Stock Looks Compelling On This Dip L&F Capital Management \n", + "... ... \n", + "Stamps.com: A Cash Machine ChartMasterPro \n", + "Can Heineken Turn The 'Mallya Drama' In Its Own... The Millennial Investor \n", + "Thor Industries Is Undervalued Quinn Foley \n", + "Xinyuan Real Estate: The Path Is Becoming Clearer WG Investment Research \n", + "Lockheed Martin: The Sky Is The Limit Michael J. Bernard \n", "\n", " 评论数 \\\n", "Micron Technology: Insanely Cheap Stock Given I... 75 \n", @@ -747,6 +1035,12 @@ "Gerdau: The Brazilian Play On U.S. Steel 1 \n", "Will Apple Get Its Mojo Back? 68 \n", "Lululemon Stock Looks Compelling On This Dip 4 \n", + "... .. \n", + "Stamps.com: A Cash Machine 1 \n", + "Can Heineken Turn The 'Mallya Drama' In Its Own... 4 \n", + "Thor Industries Is Undervalued 22 \n", + "Xinyuan Real Estate: The Path Is Becoming Clearer 6 \n", + "Lockheed Martin: The Sky Is The Limit 56 \n", "\n", " 摘要 \\\n", "Micron Technology: Insanely Cheap Stock Given I... SummaryLast year, a combination of relatively ... \n", @@ -754,16 +1048,30 @@ "Gerdau: The Brazilian Play On U.S. Steel SummaryGerdau is delivering good results, incl... \n", "Will Apple Get Its Mojo Back? SummaryApple has been resting on a reputation ... \n", "Lululemon Stock Looks Compelling On This Dip SummaryLululemon stock had a strong 2018 but f... \n", + "... ... \n", + "Stamps.com: A Cash Machine SummaryThe Momentum Growth Quotient for the co... \n", + "Can Heineken Turn The 'Mallya Drama' In Its Own... SummaryMallya, United Breweries' chairman, can... \n", + "Thor Industries Is Undervalued SummaryThor and other RV makers became signifi... \n", + "Xinyuan Real Estate: The Path Is Becoming Clearer SummaryXinyuan's stock has performed well so f... \n", + "Lockheed Martin: The Sky Is The Limit SummaryLockheed Martin exhibits strong competi... \n", "\n", - " 针对公司 发布时间 \n", - "Micron Technology: Insanely Cheap Stock Given I... MU 2018-12-31 \n", - "Molson Coors Seems Attractive At These Valuations TAP 2018-12-31 \n", - "Gerdau: The Brazilian Play On U.S. Steel GGB 2018-12-31 \n", - "Will Apple Get Its Mojo Back? AAPL 2018-12-31 \n", - "Lululemon Stock Looks Compelling On This Dip LULU 2018-12-31 " + " 针对公司 发布时间 \n", + "Micron Technology: Insanely Cheap Stock Given I... MU 2018-12-31 \n", + "Molson Coors Seems Attractive At These Valuations TAP 2018-12-31 \n", + "Gerdau: The Brazilian Play On U.S. Steel GGB 2018-12-31 \n", + "Will Apple Get Its Mojo Back? AAPL 2018-12-31 \n", + "Lululemon Stock Looks Compelling On This Dip LULU 2018-12-31 \n", + "... ... ... \n", + "Stamps.com: A Cash Machine STMP 2018-07-24 \n", + "Can Heineken Turn The 'Mallya Drama' In Its Own... HEINY 2018-07-24 \n", + "Thor Industries Is Undervalued THO 2019-02-04 \n", + "Xinyuan Real Estate: The Path Is Becoming Clearer XIN 2019-02-19 \n", + "Lockheed Martin: The Sky Is The Limit LMT 2019-02-13 \n", + "\n", + "[5898 rows x 6 columns]" ] }, - "execution_count": 36, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -771,13 +1079,15 @@ "source": [ "# 去除文本中空格\n", "Title_Content_data[\"发布时间\"] = Title_Content_data[\"发布时间\"].str.replace(\" \", \"\")\n", + "\n", "# 去除具体时间，只保留日期\n", "Title_Content_data[\"发布时间\"] = Title_Content_data[\"发布时间\"].str.extract(\n", " \"([a-zA-Z]+\\.[0-9]+,[0-9]{4})\")\n", + "\n", "# 序列转化\n", "Title_Content_data[\"发布时间\"] = pd.to_datetime(Title_Content_data[\"发布时间\"])\n", "\n", - "Title_Content_data.head()" + "Title_Content_data" ] }, { @@ -795,11 +1105,11 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2020-06-30T03:24:50.704853Z", - "start_time": "2020-06-30T03:24:50.207214Z" + "end_time": "2020-06-30T13:03:55.651011Z", + "start_time": "2020-06-30T13:03:54.381390Z" } }, "outputs": [ @@ -874,7 +1184,7 @@ "4 Gulfport Energy: Higher Risk, Higher Reward " ] }, - "execution_count": 27, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -888,6 +1198,7 @@ " if(file.endswith('.csv')):\n", " # 获取文件路径\n", " Reply_data_part = pd.read_csv(os.path.join(root, file))\n", + " \n", " # 删除无用行\n", " Reply_data_part.dropna(axis=0, how='any', inplace=True)\n", " # display(Reply_data_part.head())\n", @@ -919,11 +1230,11 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 7, "metadata": { "ExecuteTime": { - "end_time": "2020-06-30T06:17:16.126243Z", - "start_time": "2020-06-30T06:17:15.980954Z" + "end_time": "2020-06-30T13:03:55.882390Z", + "start_time": "2020-06-30T13:03:55.656996Z" } }, "outputs": [ @@ -1017,7 +1328,7 @@ "4 https://seekingalpha.com/symbol/SPY " ] }, - "execution_count": 30, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -1029,6 +1340,9 @@ "# 更改列标\n", "Forum_data.columns = ['作者', '发帖日期', '帖子内容', '公司']\n", "\n", + "# 删除无用行\n", + "Forum_data.dropna(axis=0, how='any', inplace=True)\n", + "\n", "Forum_data.head()" ] }, @@ -1042,11 +1356,11 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 8, "metadata": { "ExecuteTime": { - "end_time": "2020-06-30T06:24:28.699185Z", - "start_time": "2020-06-30T06:24:28.648321Z" + "end_time": "2020-06-30T13:03:55.976140Z", + "start_time": "2020-06-30T13:03:55.887378Z" } }, "outputs": [ @@ -1133,13 +1447,15 @@ "4 2018 was a down year for me, but I'm happy to ... SPY " ] }, - "execution_count": 37, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "Forum_data[\"公司\"]=Forum_data[\"公司\"].str.replace(r\"https://seekingalpha.com/symbol/\",\"\")\n", + "Forum_data[\"公司\"] = Forum_data[\"公司\"].str.replace(\n", + " r\"https://seekingalpha.com/symbol/\", \"\")\n", + "\n", "Forum_data.head()" ] }, @@ -1152,11 +1468,11 @@ }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 9, "metadata": { "ExecuteTime": { - "end_time": "2020-06-30T06:28:05.636116Z", - "start_time": "2020-06-30T06:28:05.614143Z" + "end_time": "2020-06-30T13:03:56.100810Z", + "start_time": "2020-06-30T13:03:55.980129Z" } }, "outputs": [ @@ -1243,13 +1559,14 @@ "4 2018 was a down year for me, but I'm happy to ... SPY " ] }, - "execution_count": 39, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Forum_data[\"发帖日期\"] = pd.to_datetime(Forum_data[\"发帖日期\"])\n", + "\n", "Forum_data.head()" ] }, @@ -1272,11 +1589,11 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 10, "metadata": { "ExecuteTime": { - "end_time": "2020-06-30T06:55:31.859996Z", - "start_time": "2020-06-30T06:55:30.717055Z" + "end_time": "2020-06-30T13:03:58.142273Z", + "start_time": "2020-06-30T13:03:56.106790Z" } }, "outputs": [ @@ -1380,18 +1697,22 @@ "4 10026 20180709 JJSF 154.44000 159.05000 154.53000 97661.0 158.60001" ] }, - "execution_count": 48, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# 创建一个空的 DataFrame\n", - "Stock_data = pd.read_csv(\"股票价格.csv\",usecols=[0,1,2,4,5,6,7,8])\n", + "Stock_data = pd.read_csv(\"股票价格.csv\", usecols=[0, 1, 2, 4, 5, 6, 7, 8])\n", "\n", "# 更改列标\n", "Stock_data.columns = ['公司编号', '日期', '公司简写', '最低价', '最高价', '收盘价', '成交量', '开盘价']\n", "\n", + "\n", + "# 删除无用行\n", + "Stock_data.dropna(axis=0, how='any', inplace=True)\n", + "\n", "Stock_data.head()" ] }, @@ -1404,11 +1725,11 @@ }, { "cell_type": "code", - "execution_count": 49, + "execution_count": 11, "metadata": { "ExecuteTime": { - "end_time": "2020-06-30T06:55:33.395083Z", - "start_time": "2020-06-30T06:55:33.316291Z" + "end_time": "2020-06-30T13:03:58.287884Z", + "start_time": "2020-06-30T13:03:58.146264Z" } }, "outputs": [ @@ -1519,7 +1840,7 @@ "4 158.60001 " ] }, - "execution_count": 49, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -1533,7 +1854,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# 3.图表绘制" + "# 三、图表绘制" ] }, { @@ -1547,5926 +1868,35 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 12, "metadata": { "ExecuteTime": { - "end_time": "2020-06-30T07:03:47.150592Z", - "start_time": "2020-06-30T07:03:44.945940Z" + "end_time": "2020-06-30T13:03:58.854875Z", + "start_time": "2020-06-30T13:03:58.290875Z" } }, - "outputs": [ - { - "data": { - "text/plain": [ - "{10026: Int64Index([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9,\n", - " ...\n", - " 116, 117, 118, 119, 120, 121, 122, 123, 124, 125],\n", - " dtype='int64', length=126),\n", - " 10028: Int64Index([126, 127, 128, 129, 130, 131, 132, 133, 134, 135,\n", - " ...\n", - " 242, 243, 244, 245, 246, 247, 248, 249, 250, 251],\n", - " dtype='int64', length=126),\n", - " 10032: Int64Index([252, 253, 254, 255, 256, 257, 258, 259, 260, 261,\n", - " ...\n", - " 368, 369, 370, 371, 372, 373, 374, 375, 376, 377],\n", - " dtype='int64', length=126),\n", - " 10044: Int64Index([378, 379, 380, 381, 382, 383, 384, 385, 386, 387,\n", - " ...\n", - " 494, 495, 496, 497, 498, 499, 500, 501, 502, 503],\n", - " dtype='int64', length=126),\n", - " 10051: Int64Index([504, 505, 506, 507, 508, 509, 510, 511, 512, 513,\n", - " ...\n", - " 620, 621, 622, 623, 624, 625, 626, 627, 628, 629],\n", - " 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4819, 4820, 4821, 4822, 4823, 4824, 4825, 4826, 4827],\n", - " dtype='int64', length=126),\n", - " 10501: Int64Index([4828, 4829, 4830, 4831, 4832, 4833, 4834, 4835, 4836, 4837,\n", - " ...\n", - " 4944, 4945, 4946, 4947, 4948, 4949, 4950, 4951, 4952, 4953],\n", - " dtype='int64', length=126),\n", - " 10514: Int64Index([4954, 4955, 4956, 4957, 4958, 4959, 4960, 4961, 4962, 4963,\n", - " ...\n", - " 5070, 5071, 5072, 5073, 5074, 5075, 5076, 5077, 5078, 5079],\n", - " dtype='int64', length=126),\n", - " 10516: Int64Index([5080, 5081, 5082, 5083, 5084, 5085, 5086, 5087, 5088, 5089,\n", - " ...\n", - " 5196, 5197, 5198, 5199, 5200, 5201, 5202, 5203, 5204, 5205],\n", - " dtype='int64', length=126),\n", - " 10517: Int64Index([5206, 5207, 5208, 5209, 5210, 5211, 5212, 5213, 5214, 5215,\n", - " ...\n", - " 5322, 5323, 5324, 5325, 5326, 5327, 5328, 5329, 5330, 5331],\n", - " dtype='int64', length=126),\n", - " 10530: Int64Index([5332, 5333, 5334, 5335, 5336, 5337, 5338, 5339, 5340, 5341,\n", - " ...\n", - " 5448, 5449, 5450, 5451, 5452, 5453, 5454, 5455, 5456, 5457],\n", - " dtype='int64', length=126),\n", - " 10547: Int64Index([5458, 5459, 5460, 5461, 5462, 5463, 5464, 5465, 5466, 5467,\n", - " ...\n", - " 5574, 5575, 5576, 5577, 5578, 5579, 5580, 5581, 5582, 5583],\n", - " dtype='int64', length=126),\n", - " 10550: Int64Index([5584, 5585, 5586, 5587, 5588, 5589, 5590, 5591, 5592, 5593,\n", - " ...\n", - " 5700, 5701, 5702, 5703, 5704, 5705, 5706, 5707, 5708, 5709],\n", - " dtype='int64', length=126),\n", - " 10606: Int64Index([5710, 5711, 5712, 5713, 5714, 5715, 5716, 5717, 5718, 5719,\n", - " ...\n", - " 5826, 5827, 5828, 5829, 5830, 5831, 5832, 5833, 5834, 5835],\n", - " dtype='int64', length=126),\n", - " 10629: Int64Index([5836, 5837, 5838, 5839, 5840, 5841, 5842, 5843, 5844, 5845,\n", - " ...\n", - " 5952, 5953, 5954, 5955, 5956, 5957, 5958, 5959, 5960, 5961],\n", - " dtype='int64', length=126),\n", - " 10645: Int64Index([5962, 5963, 5964, 5965, 5966, 5967, 5968, 5969, 5970, 5971,\n", - " ...\n", - " 6078, 6079, 6080, 6081, 6082, 6083, 6084, 6085, 6086, 6087],\n", - " dtype='int64', length=126),\n", - " 10649: Int64Index([6088, 6089, 6090, 6091, 6092, 6093, 6094, 6095, 6096, 6097,\n", - " ...\n", - " 6204, 6205, 6206, 6207, 6208, 6209, 6210, 6211, 6212, 6213],\n", - " dtype='int64', length=126),\n", - " 10656: Int64Index([6214, 6215, 6216, 6217, 6218, 6219, 6220, 6221, 6222, 6223,\n", - " ...\n", - " 6330, 6331, 6332, 6333, 6334, 6335, 6336, 6337, 6338, 6339],\n", - " dtype='int64', length=126),\n", - " 10661: Int64Index([6340, 6341, 6342, 6343, 6344, 6345, 6346, 6347, 6348, 6349,\n", - " ...\n", - " 6456, 6457, 6458, 6459, 6460, 6461, 6462, 6463, 6464, 6465],\n", - " dtype='int64', length=126),\n", - " 10693: Int64Index([6466, 6467, 6468, 6469, 6470, 6471, 6472, 6473, 6474, 6475,\n", - " ...\n", - " 6582, 6583, 6584, 6585, 6586, 6587, 6588, 6589, 6590, 6591],\n", - " dtype='int64', length=126),\n", - " 10696: Int64Index([6592, 6593, 6594, 6595, 6596, 6597, 6598, 6599, 6600, 6601,\n", - " ...\n", - " 6708, 6709, 6710, 6711, 6712, 6713, 6714, 6715, 6716, 6717],\n", - " dtype='int64', length=126),\n", - " 10777: Int64Index([6718, 6719, 6720, 6721, 6722, 6723, 6724, 6725, 6726, 6727,\n", - " ...\n", - " 6834, 6835, 6836, 6837, 6838, 6839, 6840, 6841, 6842, 6843],\n", - " dtype='int64', length=126),\n", - " 10779: Int64Index([6844, 6845, 6846, 6847, 6848, 6849, 6850, 6851, 6852, 6853,\n", - " ...\n", - " 6960, 6961, 6962, 6963, 6964, 6965, 6966, 6967, 6968, 6969],\n", - " dtype='int64', length=126),\n", - " 10781: Int64Index([6970, 6971, 6972, 6973, 6974, 6975, 6976, 6977, 6978, 6979,\n", - " ...\n", - " 7086, 7087, 7088, 7089, 7090, 7091, 7092, 7093, 7094, 7095],\n", - " dtype='int64', length=126),\n", - " 10812: Int64Index([7096, 7097, 7098, 7099, 7100, 7101, 7102, 7103, 7104, 7105,\n", - " ...\n", - " 7212, 7213, 7214, 7215, 7216, 7217, 7218, 7219, 7220, 7221],\n", - " dtype='int64', length=126),\n", - " 10838: Int64Index([7222, 7223, 7224, 7225, 7226, 7227, 7228, 7229, 7230, 7231,\n", - " ...\n", - " 7338, 7339, 7340, 7341, 7342, 7343, 7344, 7345, 7346, 7347],\n", - " dtype='int64', length=126),\n", - " 10860: Int64Index([7348, 7349, 7350, 7351, 7352, 7353, 7354, 7355, 7356, 7357,\n", - " ...\n", - " 7464, 7465, 7466, 7467, 7468, 7469, 7470, 7471, 7472, 7473],\n", - " dtype='int64', length=126),\n", - " 10866: Int64Index([7474, 7475, 7476, 7477, 7478, 7479, 7480, 7481, 7482, 7483,\n", - " ...\n", - " 7590, 7591, 7592, 7593, 7594, 7595, 7596, 7597, 7598, 7599],\n", - " dtype='int64', length=126),\n", - " 10874: Int64Index([7600, 7601, 7602, 7603, 7604, 7605, 7606, 7607, 7608, 7609,\n", - " ...\n", - " 7716, 7717, 7718, 7719, 7720, 7721, 7722, 7723, 7724, 7725],\n", - " dtype='int64', length=126),\n", - " 10886: Int64Index([7726, 7727, 7728, 7729, 7730, 7731, 7732, 7733, 7734, 7735,\n", - " ...\n", - " 7842, 7843, 7844, 7845, 7846, 7847, 7848, 7849, 7850, 7851],\n", - " dtype='int64', length=126),\n", - " 10890: Int64Index([7852, 7853, 7854, 7855, 7856, 7857, 7858, 7859, 7860, 7861,\n", - " ...\n", - " 7968, 7969, 7970, 7971, 7972, 7973, 7974, 7975, 7976, 7977],\n", - " dtype='int64', length=126),\n", - " 10892: Int64Index([7978, 7979, 7980, 7981, 7982, 7983, 7984, 7985, 7986, 7987,\n", - " ...\n", - " 8094, 8095, 8096, 8097, 8098, 8099, 8100, 8101, 8102, 8103],\n", - " dtype='int64', length=126),\n", - " 10901: Int64Index([8104, 8105, 8106, 8107, 8108, 8109, 8110, 8111, 8112, 8113,\n", - " ...\n", - " 8220, 8221, 8222, 8223, 8224, 8225, 8226, 8227, 8228, 8229],\n", - " dtype='int64', length=126),\n", - " 10909: Int64Index([8230, 8231, 8232, 8233, 8234, 8235, 8236, 8237, 8238, 8239,\n", - " ...\n", - " 8346, 8347, 8348, 8349, 8350, 8351, 8352, 8353, 8354, 8355],\n", - " dtype='int64', length=126),\n", - " 10913: Int64Index([8356, 8357, 8358, 8359, 8360, 8361, 8362, 8363, 8364, 8365, 8366,\n", - " 8367, 8368, 8369, 8370, 8371, 8372, 8373, 8374, 8375, 8376, 8377,\n", - " 8378, 8379, 8380, 8381, 8382, 8383, 8384, 8385, 8386, 8387, 8388,\n", - " 8389, 8390, 8391],\n", - " dtype='int64'),\n", - " 10932: Int64Index([8392, 8393, 8394, 8395, 8396, 8397, 8398, 8399, 8400, 8401,\n", - " ...\n", - " 8508, 8509, 8510, 8511, 8512, 8513, 8514, 8515, 8516, 8517],\n", - " dtype='int64', length=126),\n", - " 10933: Int64Index([8518, 8519, 8520, 8521, 8522, 8523, 8524, 8525, 8526, 8527,\n", - " ...\n", - " 8634, 8635, 8636, 8637, 8638, 8639, 8640, 8641, 8642, 8643],\n", - " dtype='int64', length=126),\n", - " 10952: Int64Index([8644, 8645, 8646, 8647, 8648, 8649, 8650, 8651, 8652, 8653,\n", - " ...\n", - " 8760, 8761, 8762, 8763, 8764, 8765, 8766, 8767, 8768, 8769],\n", - " dtype='int64', length=126),\n", - " 10966: Int64Index([8770, 8771, 8772, 8773, 8774, 8775, 8776, 8777, 8778, 8779,\n", - " ...\n", - " 8886, 8887, 8888, 8889, 8890, 8891, 8892, 8893, 8894, 8895],\n", - " dtype='int64', length=126),\n", - " 11003: Int64Index([8896, 8897, 8898, 8899, 8900, 8901, 8902, 8903, 8904, 8905, 8906,\n", - " 8907, 8908, 8909, 8910, 8911, 8912, 8913, 8914, 8915, 8916, 8917,\n", - " 8918, 8919, 8920, 8921, 8922, 8923, 8924, 8925],\n", - " dtype='int64'),\n", - " 11006: Int64Index([8926, 8927, 8928, 8929, 8930, 8931, 8932, 8933, 8934, 8935,\n", - " ...\n", - " 9042, 9043, 9044, 9045, 9046, 9047, 9048, 9049, 9050, 9051],\n", - " dtype='int64', length=126),\n", - " 11018: Int64Index([9052, 9053, 9054, 9055, 9056, 9057, 9058, 9059, 9060, 9061,\n", - " ...\n", - " 9168, 9169, 9170, 9171, 9172, 9173, 9174, 9175, 9176, 9177],\n", - " dtype='int64', length=126),\n", - " 11043: Int64Index([9178, 9179, 9180, 9181, 9182, 9183, 9184, 9185, 9186, 9187,\n", - " ...\n", - " 9294, 9295, 9296, 9297, 9298, 9299, 9300, 9301, 9302, 9303],\n", - " dtype='int64', length=126),\n", - " 11144: Int64Index([9304, 9305, 9306, 9307, 9308, 9309, 9310, 9311, 9312, 9313,\n", - " ...\n", - " 9420, 9421, 9422, 9423, 9424, 9425, 9426, 9427, 9428, 9429],\n", - " dtype='int64', length=126),\n", - " 11154: Int64Index([9430, 9431, 9432, 9433, 9434, 9435, 9436, 9437, 9438, 9439,\n", - " ...\n", - " 9546, 9547, 9548, 9549, 9550, 9551, 9552, 9553, 9554, 9555],\n", - " dtype='int64', length=126),\n", - " 11174: Int64Index([9556, 9557, 9558, 9559, 9560, 9561, 9562, 9563, 9564, 9565,\n", - " ...\n", - " 9672, 9673, 9674, 9675, 9676, 9677, 9678, 9679, 9680, 9681],\n", - " dtype='int64', length=126),\n", - " 11182: Int64Index([9682, 9683, 9684, 9685, 9686, 9687, 9688, 9689, 9690, 9691,\n", - " ...\n", - " 9798, 9799, 9800, 9801, 9802, 9803, 9804, 9805, 9806, 9807],\n", - " dtype='int64', length=126),\n", - " 11203: Int64Index([9808, 9809, 9810, 9811, 9812, 9813, 9814, 9815, 9816, 9817,\n", - " ...\n", - " 9924, 9925, 9926, 9927, 9928, 9929, 9930, 9931, 9932, 9933],\n", - " dtype='int64', length=126),\n", - " 11208: Int64Index([ 9934, 9935, 9936, 9937, 9938, 9939, 9940, 9941, 9942,\n", - " 9943,\n", - " ...\n", - " 10050, 10051, 10052, 10053, 10054, 10055, 10056, 10057, 10058,\n", - " 10059],\n", - " dtype='int64', length=126),\n", - " 11264: Int64Index([10060, 10061, 10062, 10063, 10064, 10065, 10066, 10067, 10068,\n", - " 10069,\n", - " ...\n", - " 10176, 10177, 10178, 10179, 10180, 10181, 10182, 10183, 10184,\n", - " 10185],\n", - " dtype='int64', length=126),\n", - " 11267: Int64Index([10186, 10187, 10188, 10189, 10190, 10191, 10192, 10193, 10194,\n", - " 10195,\n", - " ...\n", - " 10302, 10303, 10304, 10305, 10306, 10307, 10308, 10309, 10310,\n", - " 10311],\n", - " dtype='int64', length=126),\n", - " 11275: Int64Index([10312, 10313, 10314, 10315, 10316, 10317, 10318, 10319, 10320,\n", - " 10321,\n", - " ...\n", - " 10428, 10429, 10430, 10431, 10432, 10433, 10434, 10435, 10436,\n", - " 10437],\n", - " dtype='int64', length=126),\n", - " 11285: Int64Index([10438, 10439, 10440, 10441, 10442, 10443, 10444, 10445, 10446,\n", - " 10447,\n", - " ...\n", - " 10554, 10555, 10556, 10557, 10558, 10559, 10560, 10561, 10562,\n", - " 10563],\n", - " dtype='int64', length=126),\n", - " 11292: Int64Index([10564, 10565, 10566, 10567, 10568, 10569, 10570, 10571, 10572,\n", - " 10573,\n", - " ...\n", - " 10680, 10681, 10682, 10683, 10684, 10685, 10686, 10687, 10688,\n", - " 10689],\n", - " dtype='int64', length=126),\n", - " 11293: Int64Index([10690, 10691, 10692, 10693, 10694, 10695, 10696, 10697, 10698,\n", - " 10699,\n", - " ...\n", - " 10806, 10807, 10808, 10809, 10810, 10811, 10812, 10813, 10814,\n", - " 10815],\n", - " dtype='int64', length=126),\n", - " 11308: Int64Index([10816, 10817, 10818, 10819, 10820, 10821, 10822, 10823, 10824,\n", - " 10825,\n", - " ...\n", - " 10932, 10933, 10934, 10935, 10936, 10937, 10938, 10939, 10940,\n", - " 10941],\n", - " dtype='int64', length=126),\n", - " 11343: Int64Index([10942, 10943, 10944, 10945, 10946, 10947, 10948, 10949, 10950,\n", - " 10951,\n", - " ...\n", - " 11058, 11059, 11060, 11061, 11062, 11063, 11064, 11065, 11066,\n", - " 11067],\n", - " dtype='int64', length=126),\n", - " 11348: Int64Index([11068, 11069, 11070, 11071, 11072, 11073, 11074, 11075, 11076,\n", - " 11077,\n", - " ...\n", - " 11184, 11185, 11186, 11187, 11188, 11189, 11190, 11191, 11192,\n", - " 11193],\n", - " dtype='int64', length=126),\n", - " 11361: Int64Index([11194, 11195, 11196, 11197, 11198, 11199, 11200, 11201, 11202,\n", - " 11203,\n", - " ...\n", - " 11310, 11311, 11312, 11313, 11314, 11315, 11316, 11317, 11318,\n", - " 11319],\n", - " dtype='int64', length=126),\n", - " 11363: Int64Index([11320, 11321, 11322, 11323, 11324, 11325, 11326, 11327, 11328,\n", - " 11329,\n", - " ...\n", - " 11436, 11437, 11438, 11439, 11440, 11441, 11442, 11443, 11444,\n", - " 11445],\n", - " dtype='int64', length=126),\n", - " 11368: Int64Index([11446, 11447, 11448, 11449, 11450, 11451, 11452, 11453, 11454,\n", - " 11455,\n", - " ...\n", - " 11562, 11563, 11564, 11565, 11566, 11567, 11568, 11569, 11570,\n", - " 11571],\n", - " dtype='int64', length=126),\n", - " 11369: Int64Index([11572, 11573, 11574, 11575, 11576, 11577, 11578, 11579, 11580,\n", - " 11581,\n", - " ...\n", - " 11688, 11689, 11690, 11691, 11692, 11693, 11694, 11695, 11696,\n", - " 11697],\n", - " dtype='int64', length=126),\n", - " 11370: Int64Index([11698, 11699, 11700, 11701, 11702, 11703, 11704, 11705, 11706,\n", - " 11707,\n", - " ...\n", - " 11814, 11815, 11816, 11817, 11818, 11819, 11820, 11821, 11822,\n", - " 11823],\n", - " dtype='int64', length=126),\n", - " 11379: Int64Index([11824, 11825, 11826, 11827, 11828, 11829, 11830, 11831, 11832,\n", - " 11833,\n", - " ...\n", - " 11940, 11941, 11942, 11943, 11944, 11945, 11946, 11947, 11948,\n", - " 11949],\n", - " dtype='int64', length=126),\n", - " 11394: Int64Index([11950, 11951, 11952, 11953, 11954, 11955, 11956, 11957, 11958,\n", - " 11959,\n", - " ...\n", - " 12066, 12067, 12068, 12069, 12070, 12071, 12072, 12073, 12074,\n", - " 12075],\n", - " dtype='int64', length=126),\n", - " 11397: Int64Index([12076, 12077, 12078, 12079, 12080, 12081, 12082, 12083, 12084,\n", - " 12085,\n", - " ...\n", - " 12192, 12193, 12194, 12195, 12196, 12197, 12198, 12199, 12200,\n", - " 12201],\n", - " dtype='int64', length=126),\n", - " 11403: Int64Index([12202, 12203, 12204, 12205, 12206, 12207, 12208, 12209, 12210,\n", - " 12211,\n", - " ...\n", - " 12318, 12319, 12320, 12321, 12322, 12323, 12324, 12325, 12326,\n", - " 12327],\n", - " dtype='int64', length=126),\n", - " 11404: Int64Index([12328, 12329, 12330, 12331, 12332, 12333, 12334, 12335, 12336,\n", - " 12337,\n", - " ...\n", - " 12444, 12445, 12446, 12447, 12448, 12449, 12450, 12451, 12452,\n", - " 12453],\n", - " dtype='int64', length=126),\n", - " 11407: Int64Index([12454, 12455, 12456, 12457, 12458, 12459, 12460, 12461, 12462,\n", - " 12463,\n", - " ...\n", - " 12570, 12571, 12572, 12573, 12574, 12575, 12576, 12577, 12578,\n", - " 12579],\n", - " dtype='int64', length=126),\n", - " 11441: Int64Index([12580, 12581, 12582, 12583, 12584, 12585, 12586, 12587, 12588,\n", - " 12589,\n", - " ...\n", - " 12696, 12697, 12698, 12699, 12700, 12701, 12702, 12703, 12704,\n", - " 12705],\n", - " dtype='int64', length=126),\n", - " 11442: Int64Index([12706, 12707, 12708, 12709, 12710, 12711, 12712, 12713, 12714,\n", - " 12715,\n", - " ...\n", - " 12822, 12823, 12824, 12825, 12826, 12827, 12828, 12829, 12830,\n", - " 12831],\n", - " dtype='int64', length=126),\n", - " 11481: Int64Index([12832, 12833, 12834, 12835, 12836, 12837, 12838, 12839, 12840,\n", - " 12841,\n", - " ...\n", - " 12948, 12949, 12950, 12951, 12952, 12953, 12954, 12955, 12956,\n", - " 12957],\n", - " dtype='int64', length=126),\n", - " 11499: Int64Index([12958, 12959, 12960, 12961, 12962, 12963, 12964, 12965, 12966,\n", - " 12967,\n", - " ...\n", - " 13074, 13075, 13076, 13077, 13078, 13079, 13080, 13081, 13082,\n", - " 13083],\n", - " dtype='int64', length=126),\n", - " 11511: Int64Index([13084, 13085, 13086, 13087, 13088, 13089, 13090, 13091, 13092,\n", - " 13093,\n", - " ...\n", - " 13200, 13201, 13202, 13203, 13204, 13205, 13206, 13207, 13208,\n", - " 13209],\n", - " dtype='int64', length=126),\n", - " 11533: Int64Index([13210, 13211, 13212, 13213, 13214, 13215, 13216, 13217, 13218,\n", - " 13219,\n", - " ...\n", - " 13326, 13327, 13328, 13329, 13330, 13331, 13332, 13333, 13334,\n", - " 13335],\n", - " dtype='int64', length=126),\n", - " 11547: Int64Index([13336, 13337, 13338, 13339, 13340, 13341, 13342, 13343, 13344,\n", - " 13345,\n", - " ...\n", - " 13452, 13453, 13454, 13455, 13456, 13457, 13458, 13459, 13460,\n", - " 13461],\n", - " dtype='int64', length=126),\n", - " 11552: Int64Index([13462, 13463, 13464, 13465, 13466, 13467, 13468, 13469, 13470,\n", - " 13471,\n", - " ...\n", - " 13578, 13579, 13580, 13581, 13582, 13583, 13584, 13585, 13586,\n", - " 13587],\n", - " dtype='int64', length=126),\n", - " 11565: Int64Index([13588, 13589, 13590, 13591, 13592, 13593, 13594, 13595, 13596,\n", - " 13597,\n", - " ...\n", - " 13704, 13705, 13706, 13707, 13708, 13709, 13710, 13711, 13712,\n", - " 13713],\n", - " dtype='int64', length=126),\n", - " 11581: Int64Index([13714, 13715, 13716, 13717, 13718, 13719, 13720, 13721, 13722,\n", - " 13723,\n", - " ...\n", - " 13830, 13831, 13832, 13833, 13834, 13835, 13836, 13837, 13838,\n", - " 13839],\n", - " dtype='int64', length=126),\n", - " 11587: Int64Index([13840, 13841, 13842, 13843, 13844, 13845, 13846, 13847, 13848,\n", - " 13849,\n", - " ...\n", - " 13956, 13957, 13958, 13959, 13960, 13961, 13962, 13963, 13964,\n", - " 13965],\n", - " dtype='int64', length=126),\n", - " 11593: Int64Index([13966, 13967, 13968, 13969, 13970, 13971, 13972, 13973, 13974,\n", - " 13975,\n", - " ...\n", - " 14082, 14083, 14084, 14085, 14086, 14087, 14088, 14089, 14090,\n", - " 14091],\n", - " dtype='int64', length=126),\n", - " 11600: Int64Index([14092, 14093, 14094, 14095, 14096, 14097, 14098, 14099, 14100,\n", - " 14101,\n", - " ...\n", - " 14208, 14209, 14210, 14211, 14212, 14213, 14214, 14215, 14216,\n", - " 14217],\n", - " dtype='int64', length=126),\n", - " 11618: Int64Index([14218, 14219, 14220, 14221, 14222, 14223, 14224, 14225, 14226,\n", - " 14227,\n", - " ...\n", - " 14334, 14335, 14336, 14337, 14338, 14339, 14340, 14341, 14342,\n", - " 14343],\n", - " dtype='int64', length=126),\n", - " 11628: Int64Index([14344, 14345, 14346, 14347, 14348, 14349, 14350, 14351, 14352,\n", - " 14353,\n", - " ...\n", - " 14460, 14461, 14462, 14463, 14464, 14465, 14466, 14467, 14468,\n", - " 14469],\n", - " dtype='int64', length=126),\n", - " 11636: Int64Index([14470, 14471, 14472, 14473, 14474, 14475, 14476, 14477, 14478,\n", - " 14479,\n", - " ...\n", - " 14586, 14587, 14588, 14589, 14590, 14591, 14592, 14593, 14594,\n", - " 14595],\n", - " dtype='int64', length=126),\n", - " 11638: Int64Index([14596, 14597, 14598, 14599, 14600, 14601, 14602, 14603, 14604,\n", - " 14605,\n", - " ...\n", - " 14712, 14713, 14714, 14715, 14716, 14717, 14718, 14719, 14720,\n", - " 14721],\n", - " dtype='int64', length=126),\n", - " 11644: Int64Index([14722, 14723, 14724, 14725, 14726, 14727, 14728, 14729, 14730,\n", - " 14731,\n", - " ...\n", - " 14838, 14839, 14840, 14841, 14842, 14843, 14844, 14845, 14846,\n", - " 14847],\n", - " dtype='int64', length=126),\n", - " 11654: Int64Index([14848, 14849, 14850, 14851, 14852, 14853, 14854, 14855, 14856,\n", - " 14857,\n", - " ...\n", - " 14964, 14965, 14966, 14967, 14968, 14969, 14970, 14971, 14972,\n", - " 14973],\n", - " dtype='int64', length=126),\n", - " 11664: Int64Index([14974, 14975, 14976, 14977, 14978, 14979, 14980, 14981, 14982,\n", - " 14983,\n", - " ...\n", - " 15090, 15091, 15092, 15093, 15094, 15095, 15096, 15097, 15098,\n", - " 15099],\n", - " dtype='int64', length=126),\n", - " 11674: Int64Index([15100, 15101, 15102, 15103, 15104, 15105, 15106, 15107, 15108,\n", - " 15109,\n", - " ...\n", - " 15216, 15217, 15218, 15219, 15220, 15221, 15222, 15223, 15224,\n", - " 15225],\n", - " dtype='int64', length=126),\n", - " 11691: Int64Index([15226, 15227, 15228, 15229, 15230, 15231, 15232, 15233, 15234,\n", - " 15235,\n", - " ...\n", - " 15342, 15343, 15344, 15345, 15346, 15347, 15348, 15349, 15350,\n", - " 15351],\n", - " dtype='int64', length=126),\n", - " 11701: Int64Index([15352, 15353, 15354, 15355, 15356, 15357, 15358, 15359, 15360,\n", - " 15361,\n", - " ...\n", - " 15468, 15469, 15470, 15471, 15472, 15473, 15474, 15475, 15476,\n", - " 15477],\n", - " dtype='int64', length=126),\n", - " 11707: Int64Index([15478, 15479, 15480, 15481, 15482, 15483, 15484, 15485, 15486,\n", - " 15487,\n", - " ...\n", - " 15594, 15595, 15596, 15597, 15598, 15599, 15600, 15601, 15602,\n", - " 15603],\n", - " dtype='int64', length=126),\n", - " 11731: Int64Index([15604, 15605, 15606, 15607, 15608, 15609, 15610, 15611, 15612,\n", - " 15613,\n", - " ...\n", - " 15720, 15721, 15722, 15723, 15724, 15725, 15726, 15727, 15728,\n", - " 15729],\n", - " dtype='int64', length=126),\n", - " 11748: Int64Index([15730, 15731, 15732, 15733, 15734, 15735, 15736, 15737, 15738,\n", - " 15739,\n", - " ...\n", - " 15846, 15847, 15848, 15849, 15850, 15851, 15852, 15853, 15854,\n", - " 15855],\n", - " dtype='int64', length=126),\n", - " 11752: Int64Index([15856, 15857, 15858, 15859, 15860, 15861, 15862, 15863, 15864,\n", - " 15865,\n", - " ...\n", - " 15972, 15973, 15974, 15975, 15976, 15977, 15978, 15979, 15980,\n", - " 15981],\n", - " dtype='int64', length=126),\n", - " 11762: Int64Index([15982, 15983, 15984, 15985, 15986, 15987, 15988, 15989, 15990,\n", - " 15991,\n", - " ...\n", - " 16098, 16099, 16100, 16101, 16102, 16103, 16104, 16105, 16106,\n", - " 16107],\n", - " dtype='int64', length=126),\n", - " 11775: Int64Index([16108, 16109, 16110, 16111, 16112, 16113, 16114, 16115, 16116,\n", - " 16117,\n", - " ...\n", - " 16224, 16225, 16226, 16227, 16228, 16229, 16230, 16231, 16232,\n", - " 16233],\n", - " dtype='int64', length=126),\n", - " 11786: Int64Index([16234, 16235, 16236, 16237, 16238, 16239, 16240, 16241, 16242,\n", - " 16243,\n", - " ...\n", - " 16350, 16351, 16352, 16353, 16354, 16355, 16356, 16357, 16358,\n", - " 16359],\n", - " dtype='int64', length=126),\n", - " 11790: Int64Index([16360, 16361, 16362, 16363, 16364, 16365, 16366, 16367, 16368,\n", - " 16369,\n", - " ...\n", - " 16476, 16477, 16478, 16479, 16480, 16481, 16482, 16483, 16484,\n", - " 16485],\n", - " dtype='int64', length=126),\n", - " 11803: Int64Index([16486, 16487, 16488, 16489, 16490, 16491, 16492, 16493, 16494,\n", - " 16495,\n", - " ...\n", - " 16602, 16603, 16604, 16605, 16606, 16607, 16608, 16609, 16610,\n", - " 16611],\n", - " dtype='int64', length=126),\n", - " 11809: Int64Index([16612, 16613, 16614, 16615, 16616, 16617, 16618, 16619, 16620,\n", - " 16621,\n", - " ...\n", - " 16728, 16729, 16730, 16731, 16732, 16733, 16734, 16735, 16736,\n", - " 16737],\n", - " dtype='int64', length=126),\n", - " 11825: Int64Index([16738, 16739, 16740, 16741, 16742, 16743, 16744, 16745, 16746,\n", - " 16747,\n", - " ...\n", - " 16854, 16855, 16856, 16857, 16858, 16859, 16860, 16861, 16862,\n", - " 16863],\n", - " dtype='int64', length=126),\n", - " 11844: Int64Index([16864, 16865, 16866, 16867, 16868, 16869, 16870, 16871, 16872,\n", - " 16873,\n", - " ...\n", - " 16980, 16981, 16982, 16983, 16984, 16985, 16986, 16987, 16988,\n", - " 16989],\n", - " dtype='int64', length=126),\n", - " 11845: Int64Index([16990, 16991, 16992, 16993, 16994, 16995, 16996, 16997, 16998,\n", - " 16999,\n", - " ...\n", - " 17106, 17107, 17108, 17109, 17110, 17111, 17112, 17113, 17114,\n", - " 17115],\n", - " dtype='int64', length=126),\n", - " 11850: Int64Index([17116, 17117, 17118, 17119, 17120, 17121, 17122, 17123, 17124,\n", - " 17125,\n", - " ...\n", - " 17232, 17233, 17234, 17235, 17236, 17237, 17238, 17239, 17240,\n", - " 17241],\n", - " dtype='int64', length=126),\n", - " 11884: Int64Index([17242, 17243, 17244, 17245, 17246, 17247, 17248, 17249, 17250,\n", - " 17251,\n", - " ...\n", - " 17358, 17359, 17360, 17361, 17362, 17363, 17364, 17365, 17366,\n", - " 17367],\n", - " dtype='int64', length=126),\n", - " 11891: Int64Index([17368, 17369, 17370, 17371, 17372, 17373, 17374, 17375, 17376,\n", - " 17377,\n", - " ...\n", - " 17484, 17485, 17486, 17487, 17488, 17489, 17490, 17491, 17492,\n", - " 17493],\n", - " dtype='int64', length=126),\n", - " 11896: Int64Index([17494, 17495, 17496, 17497, 17498, 17499, 17500, 17501, 17502,\n", - " 17503,\n", - " ...\n", - " 17610, 17611, 17612, 17613, 17614, 17615, 17616, 17617, 17618,\n", - " 17619],\n", - " dtype='int64', length=126),\n", - " 11955: Int64Index([17620, 17621, 17622, 17623, 17624, 17625, 17626, 17627, 17628,\n", - " 17629,\n", - " ...\n", - " 17736, 17737, 17738, 17739, 17740, 17741, 17742, 17743, 17744,\n", - " 17745],\n", - " dtype='int64', length=126),\n", - " 11990: Int64Index([17746, 17747, 17748, 17749, 17750, 17751, 17752, 17753, 17754,\n", - " 17755,\n", - " ...\n", - " 17862, 17863, 17864, 17865, 17866, 17867, 17868, 17869, 17870,\n", - " 17871],\n", - " dtype='int64', length=126),\n", - " 11992: Int64Index([17872, 17873, 17874, 17875, 17876, 17877, 17878, 17879, 17880,\n", - " 17881,\n", - " ...\n", - " 17988, 17989, 17990, 17991, 17992, 17993, 17994, 17995, 17996,\n", - " 17997],\n", - " dtype='int64', length=126),\n", - " 11995: Int64Index([17998, 17999, 18000, 18001, 18002, 18003, 18004, 18005, 18006,\n", - " 18007,\n", - " ...\n", - " 18114, 18115, 18116, 18117, 18118, 18119, 18120, 18121, 18122,\n", - " 18123],\n", - " dtype='int64', length=126),\n", - " 11996: Int64Index([18124, 18125, 18126, 18127, 18128, 18129, 18130, 18131, 18132,\n", - " 18133,\n", - " ...\n", - " 18240, 18241, 18242, 18243, 18244, 18245, 18246, 18247, 18248,\n", - " 18249],\n", - " dtype='int64', length=126),\n", - " 12007: Int64Index([18250, 18251, 18252, 18253, 18254, 18255, 18256, 18257, 18258,\n", - " 18259, 18260, 18261, 18262, 18263, 18264, 18265, 18266, 18267,\n", - " 18268, 18269, 18270, 18271, 18272, 18273, 18274, 18275, 18276,\n", - " 18277, 18278, 18279, 18280, 18281, 18282, 18283, 18284, 18285,\n", - " 18286, 18287, 18288, 18289, 18290, 18291, 18292, 18293, 18294,\n", - " 18295, 18296, 18297, 18298, 18299, 18300, 18301, 18302, 18303,\n", - " 18304, 18305, 18306, 18307, 18308, 18309, 18310, 18311, 18312,\n", - " 18313, 18314, 18315, 18316, 18317, 18318],\n", - " dtype='int64'),\n", - " 12008: Int64Index([18319, 18320, 18321, 18322, 18323, 18324, 18325, 18326, 18327,\n", - " 18328,\n", - " ...\n", - " 18435, 18436, 18437, 18438, 18439, 18440, 18441, 18442, 18443,\n", - " 18444],\n", - " dtype='int64', length=126),\n", - " 12009: Int64Index([18445, 18446, 18447, 18448, 18449, 18450, 18451, 18452, 18453,\n", - " 18454,\n", - " ...\n", - " 18561, 18562, 18563, 18564, 18565, 18566, 18567, 18568, 18569,\n", - " 18570],\n", - " dtype='int64', length=126),\n", - " 12015: Int64Index([18571, 18572, 18573, 18574, 18575, 18576, 18577, 18578, 18579,\n", - " 18580,\n", - " ...\n", - " 18687, 18688, 18689, 18690, 18691, 18692, 18693, 18694, 18695,\n", - " 18696],\n", - " dtype='int64', length=126),\n", - " 12017: Int64Index([18697, 18698, 18699, 18700, 18701, 18702, 18703, 18704, 18705,\n", - " 18706,\n", - " ...\n", - " 18813, 18814, 18815, 18816, 18817, 18818, 18819, 18820, 18821,\n", - " 18822],\n", - " dtype='int64', length=126),\n", - " 12023: Int64Index([18823, 18824, 18825, 18826, 18827, 18828, 18829, 18830, 18831,\n", - " 18832,\n", - " ...\n", - " 18939, 18940, 18941, 18942, 18943, 18944, 18945, 18946, 18947,\n", - " 18948],\n", - " dtype='int64', length=126),\n", - " 12034: Int64Index([18949, 18950, 18951, 18952, 18953, 18954, 18955, 18956, 18957,\n", - " 18958,\n", - " ...\n", - " 19065, 19066, 19067, 19068, 19069, 19070, 19071, 19072, 19073,\n", - " 19074],\n", - " dtype='int64', length=126),\n", - " 12035: Int64Index([19075, 19076, 19077, 19078, 19079, 19080, 19081, 19082, 19083,\n", - " 19084,\n", - " ...\n", - " 19191, 19192, 19193, 19194, 19195, 19196, 19197, 19198, 19199,\n", - " 19200],\n", - " dtype='int64', length=126),\n", - " 12036: Int64Index([19201, 19202, 19203, 19204, 19205, 19206, 19207, 19208, 19209,\n", - " 19210,\n", - " ...\n", - " 19317, 19318, 19319, 19320, 19321, 19322, 19323, 19324, 19325,\n", - " 19326],\n", - " dtype='int64', length=126),\n", - " 12039: Int64Index([19327, 19328, 19329, 19330, 19331, 19332, 19333, 19334, 19335,\n", - " 19336,\n", - " ...\n", - " 19443, 19444, 19445, 19446, 19447, 19448, 19449, 19450, 19451,\n", - " 19452],\n", - " dtype='int64', length=126),\n", - " 12047: Int64Index([19453, 19454, 19455, 19456, 19457, 19458, 19459, 19460, 19461,\n", - " 19462,\n", - " ...\n", - " 19569, 19570, 19571, 19572, 19573, 19574, 19575, 19576, 19577,\n", - " 19578],\n", - " dtype='int64', length=126),\n", - " 12049: Int64Index([19579, 19580, 19581, 19582, 19583, 19584, 19585, 19586, 19587,\n", - " 19588,\n", - " ...\n", - " 19695, 19696, 19697, 19698, 19699, 19700, 19701, 19702, 19703,\n", - " 19704],\n", - " dtype='int64', length=126),\n", - " 12052: Int64Index([19705, 19706, 19707, 19708, 19709, 19710, 19711, 19712, 19713,\n", - " 19714,\n", - " ...\n", - " 19821, 19822, 19823, 19824, 19825, 19826, 19827, 19828, 19829,\n", - " 19830],\n", - " dtype='int64', length=126),\n", - " 12054: Int64Index([19831, 19832, 19833, 19834, 19835, 19836, 19837, 19838, 19839,\n", - " 19840,\n", - " ...\n", - " 19947, 19948, 19949, 19950, 19951, 19952, 19953, 19954, 19955,\n", - " 19956],\n", - " dtype='int64', length=126),\n", - " 12059: Int64Index([19957, 19958, 19959, 19960, 19961, 19962, 19963, 19964, 19965,\n", - " 19966,\n", - " ...\n", - " 20073, 20074, 20075, 20076, 20077, 20078, 20079, 20080, 20081,\n", - " 20082],\n", - " dtype='int64', length=126),\n", - " 12060: Int64Index([20083, 20084, 20085, 20086, 20087, 20088, 20089, 20090, 20091,\n", - " 20092,\n", - " ...\n", - " 20199, 20200, 20201, 20202, 20203, 20204, 20205, 20206, 20207,\n", - " 20208],\n", - " dtype='int64', length=126),\n", - " 12062: Int64Index([20209, 20210, 20211, 20212, 20213, 20214, 20215, 20216, 20217,\n", - " 20218,\n", - " ...\n", - " 20325, 20326, 20327, 20328, 20329, 20330, 20331, 20332, 20333,\n", - " 20334],\n", - " dtype='int64', length=126),\n", - " 12064: Int64Index([20335, 20336, 20337, 20338, 20339, 20340, 20341, 20342, 20343,\n", - " 20344,\n", - " ...\n", - " 20451, 20452, 20453, 20454, 20455, 20456, 20457, 20458, 20459,\n", - " 20460],\n", - " dtype='int64', length=126),\n", - " 12065: Int64Index([20461, 20462, 20463, 20464, 20465, 20466, 20467, 20468, 20469,\n", - " 20470,\n", - " ...\n", - " 20577, 20578, 20579, 20580, 20581, 20582, 20583, 20584, 20585,\n", - " 20586],\n", - " dtype='int64', length=126),\n", - " 12066: Int64Index([20587, 20588, 20589, 20590, 20591, 20592, 20593, 20594, 20595,\n", - " 20596,\n", - " ...\n", - " 20703, 20704, 20705, 20706, 20707, 20708, 20709, 20710, 20711,\n", - " 20712],\n", - " dtype='int64', length=126),\n", - " 12068: Int64Index([20713, 20714, 20715, 20716, 20717, 20718, 20719, 20720, 20721,\n", - " 20722,\n", - " ...\n", - " 20829, 20830, 20831, 20832, 20833, 20834, 20835, 20836, 20837,\n", - " 20838],\n", - " dtype='int64', length=126),\n", - " 12070: Int64Index([20839, 20840, 20841, 20842, 20843, 20844, 20845, 20846, 20847,\n", - " 20848,\n", - " ...\n", - " 20955, 20956, 20957, 20958, 20959, 20960, 20961, 20962, 20963,\n", - " 20964],\n", - " dtype='int64', length=126),\n", - " 12073: Int64Index([20965, 20966, 20967, 20968, 20969, 20970, 20971, 20972, 20973,\n", - " 20974,\n", - " ...\n", - " 21081, 21082, 21083, 21084, 21085, 21086, 21087, 21088, 21089,\n", - " 21090],\n", - " dtype='int64', length=126),\n", - " 12075: Int64Index([21091, 21092, 21093, 21094, 21095, 21096, 21097, 21098, 21099,\n", - " 21100,\n", - " ...\n", - " 21207, 21208, 21209, 21210, 21211, 21212, 21213, 21214, 21215,\n", - " 21216],\n", - " dtype='int64', length=126),\n", - " 12076: Int64Index([21217, 21218, 21219, 21220, 21221, 21222, 21223, 21224, 21225,\n", - " 21226,\n", - " ...\n", - " 21333, 21334, 21335, 21336, 21337, 21338, 21339, 21340, 21341,\n", - " 21342],\n", - " dtype='int64', length=126),\n", - " 12078: Int64Index([21343, 21344, 21345, 21346, 21347, 21348, 21349, 21350, 21351,\n", - " 21352,\n", - " ...\n", - " 21459, 21460, 21461, 21462, 21463, 21464, 21465, 21466, 21467,\n", - " 21468],\n", - " dtype='int64', length=126),\n", - " 12082: Int64Index([21469, 21470, 21471, 21472, 21473, 21474, 21475, 21476, 21477,\n", - " 21478,\n", - " ...\n", - " 21585, 21586, 21587, 21588, 21589, 21590, 21591, 21592, 21593,\n", - " 21594],\n", - " dtype='int64', length=126),\n", - " 12084: Int64Index([21595, 21596, 21597, 21598, 21599, 21600, 21601, 21602, 21603,\n", - " 21604,\n", - " ...\n", - " 21711, 21712, 21713, 21714, 21715, 21716, 21717, 21718, 21719,\n", - " 21720],\n", - " dtype='int64', length=126),\n", - " 12089: Int64Index([21721, 21722, 21723, 21724, 21725, 21726, 21727, 21728, 21729,\n", - " 21730,\n", - " ...\n", - " 21837, 21838, 21839, 21840, 21841, 21842, 21843, 21844, 21845,\n", - " 21846],\n", - " dtype='int64', length=126),\n", - " 12093: Int64Index([21847, 21848, 21849, 21850, 21851, 21852, 21853, 21854, 21855,\n", - " 21856,\n", - " ...\n", - " 21963, 21964, 21965, 21966, 21967, 21968, 21969, 21970, 21971,\n", - " 21972],\n", - " dtype='int64', length=126),\n", - " 12098: Int64Index([21973, 21974, 21975, 21976, 21977, 21978, 21979, 21980, 21981,\n", - " 21982,\n", - " ...\n", - " 22089, 22090, 22091, 22092, 22093, 22094, 22095, 22096, 22097,\n", - " 22098],\n", - " dtype='int64', length=126),\n", - " 12103: Int64Index([22099, 22100, 22101, 22102, 22103, 22104, 22105, 22106, 22107,\n", - " 22108,\n", - " ...\n", - " 22215, 22216, 22217, 22218, 22219, 22220, 22221, 22222, 22223,\n", - " 22224],\n", - " dtype='int64', length=126),\n", - " 12105: Int64Index([22225, 22226, 22227, 22228, 22229, 22230, 22231, 22232, 22233,\n", - " 22234,\n", - " ...\n", - " 22341, 22342, 22343, 22344, 22345, 22346, 22347, 22348, 22349,\n", - " 22350],\n", - " dtype='int64', length=126),\n", - " 12109: Int64Index([22351, 22352, 22353, 22354, 22355, 22356, 22357, 22358, 22359,\n", - " 22360,\n", - " ...\n", - " 22467, 22468, 22469, 22470, 22471, 22472, 22473, 22474, 22475,\n", - " 22476],\n", - " dtype='int64', length=126),\n", - " 12141: Int64Index([22477], dtype='int64'),\n", - " 12146: Int64Index([22478, 22479, 22480, 22481, 22482, 22483, 22484, 22485, 22486,\n", - " 22487,\n", - " ...\n", - " 22594, 22595, 22596, 22597, 22598, 22599, 22600, 22601, 22602,\n", - " 22603],\n", - " dtype='int64', length=126),\n", - " 12149: Int64Index([22604, 22605, 22606, 22607, 22608, 22609, 22610, 22611, 22612,\n", - " 22613, 22614, 22615, 22616, 22617, 22618, 22619, 22620, 22621,\n", - " 22622, 22623, 22624, 22625, 22626, 22627, 22628, 22629, 22630,\n", - " 22631, 22632, 22633, 22634],\n", - " dtype='int64'),\n", - " 12166: Int64Index([22635, 22636, 22637, 22638, 22639, 22640, 22641, 22642, 22643,\n", - " 22644,\n", - " ...\n", - " 22751, 22752, 22753, 22754, 22755, 22756, 22757, 22758, 22759,\n", - " 22760],\n", - " dtype='int64', length=126),\n", - " 12189: Int64Index([22761, 22762, 22763, 22764, 22765, 22766, 22767, 22768, 22769,\n", - " 22770,\n", - " ...\n", - " 22877, 22878, 22879, 22880, 22881, 22882, 22883, 22884, 22885,\n", - " 22886],\n", - " dtype='int64', length=126),\n", - " 12209: Int64Index([22887, 22888, 22889, 22890, 22891, 22892, 22893, 22894, 22895,\n", - " 22896,\n", - " ...\n", - " 23003, 23004, 23005, 23006, 23007, 23008, 23009, 23010, 23011,\n", - " 23012],\n", - " dtype='int64', length=126),\n", - " 12211: Int64Index([23013, 23014, 23015, 23016, 23017, 23018, 23019, 23020, 23021,\n", - " 23022,\n", - " ...\n", - " 23129, 23130, 23131, 23132, 23133, 23134, 23135, 23136, 23137,\n", - " 23138],\n", - " dtype='int64', length=126),\n", - " 12219: Int64Index([23139, 23140, 23141, 23142, 23143, 23144, 23145, 23146, 23147,\n", - " 23148,\n", - " ...\n", - " 23255, 23256, 23257, 23258, 23259, 23260, 23261, 23262, 23263,\n", - " 23264],\n", - " dtype='int64', length=126),\n", - " 12226: Int64Index([23265, 23266, 23267, 23268, 23269, 23270, 23271, 23272, 23273,\n", - " 23274,\n", - " ...\n", - " 23381, 23382, 23383, 23384, 23385, 23386, 23387, 23388, 23389,\n", - " 23390],\n", - " dtype='int64', length=126),\n", - " 12266: Int64Index([23391, 23392, 23393, 23394, 23395, 23396, 23397, 23398, 23399,\n", - " 23400,\n", - " ...\n", - " 23507, 23508, 23509, 23510, 23511, 23512, 23513, 23514, 23515,\n", - " 23516],\n", - " dtype='int64', length=126),\n", - " 12287: Int64Index([23517, 23518, 23519, 23520, 23521, 23522, 23523, 23524, 23525,\n", - " 23526,\n", - " ...\n", - " 23633, 23634, 23635, 23636, 23637, 23638, 23639, 23640, 23641,\n", - " 23642],\n", - " dtype='int64', length=126),\n", - " 12289: Int64Index([23643, 23644, 23645, 23646, 23647, 23648, 23649, 23650, 23651,\n", - " 23652,\n", - " ...\n", - " 23759, 23760, 23761, 23762, 23763, 23764, 23765, 23766, 23767,\n", - " 23768],\n", - " dtype='int64', length=126),\n", - " 12292: Int64Index([23769, 23770, 23771, 23772, 23773, 23774, 23775, 23776, 23777,\n", - " 23778,\n", - " ...\n", - " 23885, 23886, 23887, 23888, 23889, 23890, 23891, 23892, 23893,\n", - " 23894],\n", - " dtype='int64', length=126),\n", - " 12293: Int64Index([23895, 23896, 23897, 23898, 23899, 23900, 23901, 23902, 23903,\n", - " 23904,\n", - " ...\n", - " 24011, 24012, 24013, 24014, 24015, 24016, 24017, 24018, 24019,\n", - " 24020],\n", - " dtype='int64', length=126),\n", - " 12294: Int64Index([24021, 24022, 24023, 24024, 24025, 24026, 24027, 24028, 24029,\n", - " 24030,\n", - " ...\n", - " 24137, 24138, 24139, 24140, 24141, 24142, 24143, 24144, 24145,\n", - " 24146],\n", - " dtype='int64', length=126),\n", - " 12295: Int64Index([24147, 24148, 24149, 24150, 24151, 24152, 24153, 24154, 24155,\n", - " 24156,\n", - " ...\n", - " 24263, 24264, 24265, 24266, 24267, 24268, 24269, 24270, 24271,\n", - " 24272],\n", - " dtype='int64', length=126),\n", - " 12296: Int64Index([24273, 24274, 24275, 24276, 24277, 24278, 24279, 24280, 24281,\n", - " 24282,\n", - " ...\n", - " 24389, 24390, 24391, 24392, 24393, 24394, 24395, 24396, 24397,\n", - " 24398],\n", - " dtype='int64', length=126),\n", - " 12297: Int64Index([24399, 24400, 24401, 24402, 24403, 24404, 24405, 24406, 24407,\n", - " 24408,\n", - " ...\n", - " 24515, 24516, 24517, 24518, 24519, 24520, 24521, 24522, 24523,\n", - " 24524],\n", - " dtype='int64', length=126),\n", - " 12301: Int64Index([24525, 24526, 24527, 24528, 24529, 24530, 24531, 24532, 24533,\n", - " 24534,\n", - " ...\n", - " 24641, 24642, 24643, 24644, 24645, 24646, 24647, 24648, 24649,\n", - " 24650],\n", - " dtype='int64', length=126),\n", - " 12302: Int64Index([24651, 24652, 24653, 24654, 24655, 24656, 24657, 24658, 24659,\n", - " 24660,\n", - " ...\n", - " 24767, 24768, 24769, 24770, 24771, 24772, 24773, 24774, 24775,\n", - " 24776],\n", - " dtype='int64', length=126),\n", - " 12303: Int64Index([24777, 24778, 24779, 24780, 24781, 24782, 24783, 24784, 24785,\n", - " 24786,\n", - " ...\n", - " 24893, 24894, 24895, 24896, 24897, 24898, 24899, 24900, 24901,\n", - " 24902],\n", - " dtype='int64', length=126),\n", - " 12304: Int64Index([24903, 24904, 24905, 24906, 24907, 24908, 24909, 24910, 24911,\n", - " 24912,\n", - " ...\n", - " 25019, 25020, 25021, 25022, 25023, 25024, 25025, 25026, 25027,\n", - " 25028],\n", - " dtype='int64', length=126),\n", - " 12305: Int64Index([25029, 25030, 25031, 25032, 25033, 25034, 25035, 25036, 25037,\n", - " 25038,\n", - " ...\n", - " 25145, 25146, 25147, 25148, 25149, 25150, 25151, 25152, 25153,\n", - " 25154],\n", - " dtype='int64', length=126),\n", - " 12307: Int64Index([25155, 25156, 25157, 25158, 25159, 25160, 25161, 25162, 25163,\n", - " 25164,\n", - " ...\n", - " 25271, 25272, 25273, 25274, 25275, 25276, 25277, 25278, 25279,\n", - " 25280],\n", - " dtype='int64', length=126),\n", - " 12308: Int64Index([25281, 25282, 25283, 25284, 25285, 25286, 25287, 25288, 25289,\n", - " 25290,\n", - " ...\n", - " 25397, 25398, 25399, 25400, 25401, 25402, 25403, 25404, 25405,\n", - " 25406],\n", - " dtype='int64', length=126),\n", - " 12310: Int64Index([25407, 25408, 25409, 25410, 25411, 25412, 25413, 25414, 25415,\n", - " 25416,\n", - " ...\n", - " 25523, 25524, 25525, 25526, 25527, 25528, 25529, 25530, 25531,\n", - " 25532],\n", - " dtype='int64', length=126),\n", - " 12313: Int64Index([25533, 25534, 25535, 25536, 25537, 25538, 25539, 25540, 25541,\n", - " 25542,\n", - " ...\n", - " 25649, 25650, 25651, 25652, 25653, 25654, 25655, 25656, 25657,\n", - " 25658],\n", - " dtype='int64', length=126),\n", - " 12314: Int64Index([25659, 25660, 25661, 25662, 25663, 25664, 25665, 25666, 25667,\n", - " 25668,\n", - " ...\n", - " 25775, 25776, 25777, 25778, 25779, 25780, 25781, 25782, 25783,\n", - " 25784],\n", - " dtype='int64', length=126),\n", - " 12315: Int64Index([25785, 25786, 25787, 25788, 25789, 25790, 25791, 25792, 25793,\n", - " 25794,\n", - " ...\n", - " 25901, 25902, 25903, 25904, 25905, 25906, 25907, 25908, 25909,\n", - " 25910],\n", - " dtype='int64', length=126),\n", - " 12316: Int64Index([25911, 25912, 25913, 25914, 25915, 25916, 25917, 25918, 25919,\n", - " 25920,\n", - " ...\n", - " 26027, 26028, 26029, 26030, 26031, 26032, 26033, 26034, 26035,\n", - " 26036],\n", - " dtype='int64', length=126),\n", - " 12317: Int64Index([26037, 26038, 26039, 26040, 26041, 26042, 26043, 26044, 26045,\n", - " 26046,\n", - " ...\n", - " 26153, 26154, 26155, 26156, 26157, 26158, 26159, 26160, 26161,\n", - " 26162],\n", - " dtype='int64', length=126),\n", - " 12318: Int64Index([26163, 26164, 26165, 26166, 26167, 26168, 26169, 26170, 26171,\n", - " 26172,\n", - " ...\n", - " 26279, 26280, 26281, 26282, 26283, 26284, 26285, 26286, 26287,\n", - " 26288],\n", - " dtype='int64', length=126),\n", - " 12321: Int64Index([26289, 26290, 26291, 26292, 26293, 26294, 26295, 26296, 26297,\n", - " 26298,\n", - " ...\n", - " 26405, 26406, 26407, 26408, 26409, 26410, 26411, 26412, 26413,\n", - " 26414],\n", - " dtype='int64', length=126),\n", - " 12325: Int64Index([26415, 26416, 26417, 26418, 26419, 26420, 26421, 26422, 26423,\n", - " 26424,\n", - " ...\n", - " 26531, 26532, 26533, 26534, 26535, 26536, 26537, 26538, 26539,\n", - " 26540],\n", - " dtype='int64', length=126),\n", - " 12326: Int64Index([26541, 26542, 26543, 26544, 26545, 26546, 26547, 26548, 26549,\n", - " 26550,\n", - " ...\n", - " 26657, 26658, 26659, 26660, 26661, 26662, 26663, 26664, 26665,\n", - " 26666],\n", - " dtype='int64', length=126),\n", - " 12329: Int64Index([26667, 26668, 26669, 26670, 26671, 26672, 26673, 26674, 26675,\n", - " 26676,\n", - " ...\n", - " 26783, 26784, 26785, 26786, 26787, 26788, 26789, 26790, 26791,\n", - " 26792],\n", - " dtype='int64', length=126),\n", - " 12331: Int64Index([26793, 26794, 26795, 26796, 26797, 26798, 26799, 26800, 26801,\n", - " 26802,\n", - " ...\n", - " 26909, 26910, 26911, 26912, 26913, 26914, 26915, 26916, 26917,\n", - " 26918],\n", - " dtype='int64', length=126),\n", - " 12332: Int64Index([26919, 26920, 26921, 26922, 26923, 26924, 26925, 26926, 26927,\n", - " 26928,\n", - " ...\n", - " 27035, 27036, 27037, 27038, 27039, 27040, 27041, 27042, 27043,\n", - " 27044],\n", - " dtype='int64', length=126),\n", - " 12333: Int64Index([27045, 27046, 27047, 27048, 27049, 27050, 27051, 27052, 27053,\n", - " 27054,\n", - " ...\n", - " 27161, 27162, 27163, 27164, 27165, 27166, 27167, 27168, 27169,\n", - " 27170],\n", - " dtype='int64', length=126),\n", - " 12334: Int64Index([27171, 27172, 27173, 27174, 27175, 27176, 27177, 27178, 27179,\n", - " 27180,\n", - " ...\n", - " 27287, 27288, 27289, 27290, 27291, 27292, 27293, 27294, 27295,\n", - " 27296],\n", - " dtype='int64', length=126),\n", - " 12338: Int64Index([27297, 27298, 27299, 27300, 27301, 27302, 27303, 27304, 27305,\n", - " 27306,\n", - " ...\n", - " 27413, 27414, 27415, 27416, 27417, 27418, 27419, 27420, 27421,\n", - " 27422],\n", - " dtype='int64', length=126),\n", - " 12339: Int64Index([27423, 27424, 27425, 27426, 27427, 27428, 27429, 27430, 27431,\n", - " 27432,\n", - " ...\n", - " 27539, 27540, 27541, 27542, 27543, 27544, 27545, 27546, 27547,\n", - " 27548],\n", - " dtype='int64', length=126),\n", - " 12340: Int64Index([27549, 27550, 27551, 27552, 27553, 27554, 27555, 27556, 27557,\n", - " 27558,\n", - " ...\n", - " 27665, 27666, 27667, 27668, 27669, 27670, 27671, 27672, 27673,\n", - " 27674],\n", - " dtype='int64', length=126),\n", - " 12341: Int64Index([27675, 27676, 27677, 27678, 27679, 27680, 27681, 27682, 27683,\n", - " 27684,\n", - " ...\n", - " 27791, 27792, 27793, 27794, 27795, 27796, 27797, 27798, 27799,\n", - " 27800],\n", - " dtype='int64', length=126),\n", - " 12345: Int64Index([27801, 27802, 27803, 27804, 27805, 27806, 27807, 27808, 27809,\n", - " 27810,\n", - " ...\n", - " 27917, 27918, 27919, 27920, 27921, 27922, 27923, 27924, 27925,\n", - " 27926],\n", - " dtype='int64', length=126),\n", - " 12350: Int64Index([27927, 27928, 27929, 27930, 27931, 27932, 27933, 27934, 27935,\n", - " 27936,\n", - " ...\n", - " 28043, 28044, 28045, 28046, 28047, 28048, 28049, 28050, 28051,\n", - " 28052],\n", - " dtype='int64', length=126),\n", - " 12352: Int64Index([28053, 28054, 28055, 28056, 28057, 28058, 28059, 28060, 28061,\n", - " 28062,\n", - " ...\n", - " 28169, 28170, 28171, 28172, 28173, 28174, 28175, 28176, 28177,\n", - " 28178],\n", - " dtype='int64', length=126),\n", - " 12355: Int64Index([28179, 28180, 28181, 28182, 28183, 28184, 28185, 28186, 28187,\n", - " 28188,\n", - " ...\n", - " 28295, 28296, 28297, 28298, 28299, 28300, 28301, 28302, 28303,\n", - " 28304],\n", - " dtype='int64', length=126),\n", - " 12356: Int64Index([28305, 28306, 28307, 28308, 28309, 28310, 28311, 28312, 28313,\n", - " 28314,\n", - " ...\n", - " 28421, 28422, 28423, 28424, 28425, 28426, 28427, 28428, 28429,\n", - " 28430],\n", - " dtype='int64', length=126),\n", - " 12358: Int64Index([28431, 28432, 28433, 28434, 28435, 28436, 28437, 28438, 28439,\n", - " 28440,\n", - " ...\n", - " 28547, 28548, 28549, 28550, 28551, 28552, 28553, 28554, 28555,\n", - " 28556],\n", - " dtype='int64', length=126),\n", - " 12360: Int64Index([28557, 28558, 28559, 28560, 28561, 28562, 28563, 28564, 28565,\n", - " 28566,\n", - " ...\n", - " 28673, 28674, 28675, 28676, 28677, 28678, 28679, 28680, 28681,\n", - " 28682],\n", - " dtype='int64', length=126),\n", - " 12362: Int64Index([28683, 28684, 28685, 28686, 28687, 28688, 28689, 28690, 28691,\n", - " 28692,\n", - " ...\n", - " 28799, 28800, 28801, 28802, 28803, 28804, 28805, 28806, 28807,\n", - " 28808],\n", - " dtype='int64', length=126),\n", - " 12363: Int64Index([28809, 28810, 28811, 28812, 28813, 28814, 28815, 28816, 28817,\n", - " 28818,\n", - " ...\n", - " 28925, 28926, 28927, 28928, 28929, 28930, 28931, 28932, 28933,\n", - " 28934],\n", - " dtype='int64', length=126),\n", - " 12365: Int64Index([28935, 28936, 28937, 28938, 28939, 28940, 28941, 28942, 28943,\n", - " 28944,\n", - " ...\n", - " 29051, 29052, 29053, 29054, 29055, 29056, 29057, 29058, 29059,\n", - " 29060],\n", - " dtype='int64', length=126),\n", - " 12366: Int64Index([29061, 29062, 29063, 29064, 29065, 29066, 29067, 29068, 29069,\n", - " 29070,\n", - " ...\n", - " 29177, 29178, 29179, 29180, 29181, 29182, 29183, 29184, 29185,\n", - " 29186],\n", - " dtype='int64', length=126),\n", - " 12367: Int64Index([29187, 29188, 29189, 29190, 29191, 29192, 29193, 29194, 29195,\n", - " 29196,\n", - " ...\n", - " 29303, 29304, 29305, 29306, 29307, 29308, 29309, 29310, 29311,\n", - " 29312],\n", - " dtype='int64', length=126),\n", - " 12368: Int64Index([29313, 29314, 29315, 29316, 29317, 29318, 29319, 29320, 29321,\n", - " 29322,\n", - " ...\n", - " 29429, 29430, 29431, 29432, 29433, 29434, 29435, 29436, 29437,\n", - " 29438],\n", - " dtype='int64', length=126),\n", - " 12369: Int64Index([29439, 29440, 29441, 29442, 29443, 29444, 29445, 29446, 29447,\n", - " 29448,\n", - " ...\n", - " 29555, 29556, 29557, 29558, 29559, 29560, 29561, 29562, 29563,\n", - " 29564],\n", - " dtype='int64', length=126),\n", - " 12370: Int64Index([29565, 29566, 29567, 29568, 29569, 29570, 29571, 29572, 29573,\n", - " 29574,\n", - " ...\n", - " 29681, 29682, 29683, 29684, 29685, 29686, 29687, 29688, 29689,\n", - " 29690],\n", - " dtype='int64', length=126),\n", - " 12371: Int64Index([29691, 29692, 29693, 29694, 29695, 29696, 29697, 29698, 29699,\n", - " 29700,\n", - " ...\n", - " 29807, 29808, 29809, 29810, 29811, 29812, 29813, 29814, 29815,\n", - " 29816],\n", - " dtype='int64', length=126),\n", - " 12372: Int64Index([29817, 29818, 29819, 29820, 29821, 29822, 29823, 29824, 29825,\n", - " 29826,\n", - " ...\n", - " 29933, 29934, 29935, 29936, 29937, 29938, 29939, 29940, 29941,\n", - " 29942],\n", - " dtype='int64', length=126),\n", - " 12373: Int64Index([29943, 29944, 29945, 29946, 29947, 29948, 29949, 29950, 29951,\n", - " 29952,\n", - " ...\n", - " 30059, 30060, 30061, 30062, 30063, 30064, 30065, 30066, 30067,\n", - " 30068],\n", - " dtype='int64', length=126),\n", - " 12374: Int64Index([30069, 30070, 30071, 30072, 30073, 30074, 30075, 30076, 30077,\n", - " 30078,\n", - " ...\n", - " 30185, 30186, 30187, 30188, 30189, 30190, 30191, 30192, 30193,\n", - " 30194],\n", - " dtype='int64', length=126),\n", - " 12376: Int64Index([30195, 30196, 30197, 30198, 30199, 30200, 30201, 30202, 30203,\n", - " 30204,\n", - " ...\n", - " 30311, 30312, 30313, 30314, 30315, 30316, 30317, 30318, 30319,\n", - " 30320],\n", - " dtype='int64', length=126),\n", - " 12377: Int64Index([30321, 30322, 30323, 30324, 30325, 30326, 30327, 30328, 30329,\n", - " 30330,\n", - " ...\n", - " 30437, 30438, 30439, 30440, 30441, 30442, 30443, 30444, 30445,\n", - " 30446],\n", - " dtype='int64', length=126),\n", - " 12379: Int64Index([30447, 30448, 30449, 30450, 30451, 30452, 30453, 30454, 30455,\n", - " 30456, 30457, 30458, 30459, 30460, 30461, 30462, 30463, 30464,\n", - " 30465, 30466, 30467, 30468, 30469, 30470, 30471, 30472, 30473,\n", - " 30474, 30475, 30476, 30477, 30478, 30479, 30480, 30481, 30482,\n", - " 30483, 30484, 30485, 30486, 30487, 30488, 30489, 30490, 30491,\n", - " 30492, 30493, 30494, 30495, 30496, 30497, 30498, 30499, 30500,\n", - " 30501, 30502, 30503, 30504, 30505, 30506, 30507, 30508, 30509,\n", - " 30510, 30511, 30512, 30513, 30514, 30515, 30516, 30517, 30518,\n", - " 30519, 30520, 30521, 30522, 30523, 30524, 30525, 30526, 30527,\n", - " 30528, 30529, 30530, 30531, 30532, 30533, 30534, 30535, 30536,\n", - " 30537, 30538, 30539, 30540, 30541, 30542, 30543, 30544, 30545],\n", - " dtype='int64'),\n", - " 12380: Int64Index([30546, 30547, 30548, 30549, 30550, 30551, 30552, 30553, 30554,\n", - " 30555,\n", - " ...\n", - " 30662, 30663, 30664, 30665, 30666, 30667, 30668, 30669, 30670,\n", - " 30671],\n", - " dtype='int64', length=126),\n", - " 12384: Int64Index([30672, 30673, 30674, 30675, 30676, 30677, 30678, 30679, 30680,\n", - " 30681,\n", - " ...\n", - " 30788, 30789, 30790, 30791, 30792, 30793, 30794, 30795, 30796,\n", - " 30797],\n", - " dtype='int64', length=126),\n", - " 12385: Int64Index([30798, 30799, 30800, 30801, 30802, 30803, 30804, 30805, 30806,\n", - " 30807,\n", - " ...\n", - " 30914, 30915, 30916, 30917, 30918, 30919, 30920, 30921, 30922,\n", - " 30923],\n", - " dtype='int64', length=126),\n", - " 12391: Int64Index([30924, 30925, 30926, 30927, 30928, 30929, 30930, 30931, 30932,\n", - " 30933,\n", - " ...\n", - " 31040, 31041, 31042, 31043, 31044, 31045, 31046, 31047, 31048,\n", - " 31049],\n", - " dtype='int64', length=126),\n", - " 12397: Int64Index([31050, 31051, 31052, 31053, 31054, 31055, 31056, 31057, 31058,\n", - " 31059,\n", - " ...\n", - " 31166, 31167, 31168, 31169, 31170, 31171, 31172, 31173, 31174,\n", - " 31175],\n", - " dtype='int64', length=126),\n", - " 12400: Int64Index([31176, 31177, 31178, 31179, 31180, 31181, 31182, 31183, 31184,\n", - " 31185,\n", - " ...\n", - " 31292, 31293, 31294, 31295, 31296, 31297, 31298, 31299, 31300,\n", - " 31301],\n", - " dtype='int64', length=126),\n", - " 12402: Int64Index([31302, 31303, 31304, 31305, 31306, 31307, 31308, 31309, 31310,\n", - " 31311,\n", - " ...\n", - " 31418, 31419, 31420, 31421, 31422, 31423, 31424, 31425, 31426,\n", - " 31427],\n", - " dtype='int64', length=126),\n", - " 12405: Int64Index([31428, 31429, 31430, 31431, 31432, 31433, 31434, 31435, 31436,\n", - " 31437,\n", - " ...\n", - " 31528, 31529, 31530, 31531, 31532, 31533, 31534, 31535, 31536,\n", - " 31537],\n", - " dtype='int64', length=110),\n", - " 12411: Int64Index([31538, 31539, 31540, 31541, 31542, 31543, 31544, 31545, 31546,\n", - " 31547,\n", - " ...\n", - " 31654, 31655, 31656, 31657, 31658, 31659, 31660, 31661, 31662,\n", - " 31663],\n", - " dtype='int64', length=126),\n", - " 12412: Int64Index([31664, 31665, 31666, 31667, 31668, 31669, 31670, 31671, 31672,\n", - " 31673,\n", - " ...\n", - " 31780, 31781, 31782, 31783, 31784, 31785, 31786, 31787, 31788,\n", - " 31789],\n", - " dtype='int64', length=126),\n", - " 12413: Int64Index([31790, 31791, 31792, 31793, 31794, 31795, 31796, 31797, 31798,\n", - " 31799,\n", - " ...\n", - " 31906, 31907, 31908, 31909, 31910, 31911, 31912, 31913, 31914,\n", - " 31915],\n", - " dtype='int64', length=126),\n", - " 12431: Int64Index([31916, 31917, 31918, 31919, 31920, 31921, 31922, 31923, 31924,\n", - " 31925,\n", - " ...\n", - " 32032, 32033, 32034, 32035, 32036, 32037, 32038, 32039, 32040,\n", - " 32041],\n", - " dtype='int64', length=126),\n", - " 12437: Int64Index([32042, 32043, 32044, 32045, 32046, 32047, 32048, 32049, 32050,\n", - " 32051,\n", - " ...\n", - " 32158, 32159, 32160, 32161, 32162, 32163, 32164, 32165, 32166,\n", - " 32167],\n", - " dtype='int64', length=126),\n", - " 12442: Int64Index([32168, 32169, 32170, 32171, 32172, 32173, 32174, 32175, 32176,\n", - " 32177,\n", - " ...\n", - " 32284, 32285, 32286, 32287, 32288, 32289, 32290, 32291, 32292,\n", - " 32293],\n", - " dtype='int64', length=126),\n", - " 12443: Int64Index([32294, 32295, 32296, 32297, 32298, 32299, 32300, 32301, 32302,\n", - " 32303,\n", - " ...\n", - " 32410, 32411, 32412, 32413, 32414, 32415, 32416, 32417, 32418,\n", - " 32419],\n", - " dtype='int64', length=126),\n", - " 12447: Int64Index([32420, 32421, 32422, 32423, 32424, 32425, 32426, 32427, 32428,\n", - " 32429,\n", - " ...\n", - " 32536, 32537, 32538, 32539, 32540, 32541, 32542, 32543, 32544,\n", - " 32545],\n", - " dtype='int64', length=126),\n", - " 12448: Int64Index([32546, 32547, 32548, 32549, 32550, 32551, 32552, 32553, 32554,\n", - " 32555,\n", - " ...\n", - " 32662, 32663, 32664, 32665, 32666, 32667, 32668, 32669, 32670,\n", - " 32671],\n", - " dtype='int64', length=126),\n", - " 12449: Int64Index([32672, 32673, 32674, 32675, 32676, 32677, 32678, 32679, 32680,\n", - " 32681,\n", - " ...\n", - " 32788, 32789, 32790, 32791, 32792, 32793, 32794, 32795, 32796,\n", - " 32797],\n", - " dtype='int64', length=126),\n", - " 12451: Int64Index([32798, 32799, 32800, 32801, 32802, 32803, 32804, 32805, 32806,\n", - " 32807,\n", - " ...\n", - " 32914, 32915, 32916, 32917, 32918, 32919, 32920, 32921, 32922,\n", - " 32923],\n", - " dtype='int64', length=126),\n", - " 12452: Int64Index([32924, 32925, 32926, 32927, 32928, 32929, 32930, 32931, 32932,\n", - " 32933,\n", - " ...\n", - " 33040, 33041, 33042, 33043, 33044, 33045, 33046, 33047, 33048,\n", - " 33049],\n", - " dtype='int64', length=126),\n", - " 12453: Int64Index([33050, 33051, 33052, 33053, 33054, 33055, 33056, 33057, 33058,\n", - " 33059,\n", - " ...\n", - " 33166, 33167, 33168, 33169, 33170, 33171, 33172, 33173, 33174,\n", - " 33175],\n", - " dtype='int64', length=126),\n", - " 12457: Int64Index([33176, 33177, 33178, 33179, 33180, 33181, 33182, 33183, 33184,\n", - " 33185,\n", - " ...\n", - " 33292, 33293, 33294, 33295, 33296, 33297, 33298, 33299, 33300,\n", - " 33301],\n", - " dtype='int64', length=126),\n", - " 12461: Int64Index([33302, 33303, 33304, 33305, 33306, 33307, 33308, 33309, 33310,\n", - " 33311,\n", - " ...\n", - " 33418, 33419, 33420, 33421, 33422, 33423, 33424, 33425, 33426,\n", - " 33427],\n", - " dtype='int64', length=126),\n", - " 12462: Int64Index([33428, 33429, 33430, 33431, 33432, 33433, 33434, 33435, 33436,\n", - " 33437,\n", - " ...\n", - " 33544, 33545, 33546, 33547, 33548, 33549, 33550, 33551, 33552,\n", - " 33553],\n", - " dtype='int64', length=126),\n", - " 12463: Int64Index([33554, 33555, 33556, 33557, 33558, 33559, 33560, 33561, 33562,\n", - " 33563,\n", - " ...\n", - " 33670, 33671, 33672, 33673, 33674, 33675, 33676, 33677, 33678,\n", - " 33679],\n", - " dtype='int64', length=126),\n", - " 12472: Int64Index([33680, 33681, 33682, 33683, 33684, 33685, 33686, 33687, 33688,\n", - " 33689,\n", - " ...\n", - " 33796, 33797, 33798, 33799, 33800, 33801, 33802, 33803, 33804,\n", - " 33805],\n", - " dtype='int64', length=126),\n", - " 12473: Int64Index([33806, 33807, 33808, 33809, 33810, 33811, 33812, 33813, 33814,\n", - " 33815,\n", - " ...\n", - " 33922, 33923, 33924, 33925, 33926, 33927, 33928, 33929, 33930,\n", - " 33931],\n", - " dtype='int64', length=126),\n", - " 12476: Int64Index([33932, 33933, 33934, 33935, 33936, 33937, 33938, 33939, 33940,\n", - " 33941,\n", - " ...\n", - " 34048, 34049, 34050, 34051, 34052, 34053, 34054, 34055, 34056,\n", - " 34057],\n", - " dtype='int64', length=126),\n", - " 12477: Int64Index([34058, 34059, 34060, 34061, 34062, 34063, 34064, 34065, 34066,\n", - " 34067,\n", - " ...\n", - " 34174, 34175, 34176, 34177, 34178, 34179, 34180, 34181, 34182,\n", - " 34183],\n", - " dtype='int64', length=126),\n", - " 12480: Int64Index([34184, 34185, 34186, 34187, 34188, 34189, 34190, 34191, 34192,\n", - " 34193,\n", - " ...\n", - " 34300, 34301, 34302, 34303, 34304, 34305, 34306, 34307, 34308,\n", - " 34309],\n", - " dtype='int64', length=126),\n", - " 12486: Int64Index([34310, 34311, 34312, 34313, 34314, 34315, 34316, 34317, 34318,\n", - " 34319,\n", - " ...\n", - " 34426, 34427, 34428, 34429, 34430, 34431, 34432, 34433, 34434,\n", - " 34435],\n", - " dtype='int64', length=126),\n", - " 12487: Int64Index([34436, 34437, 34438, 34439, 34440, 34441, 34442, 34443, 34444,\n", - " 34445,\n", - " ...\n", - " 34552, 34553, 34554, 34555, 34556, 34557, 34558, 34559, 34560,\n", - " 34561],\n", - " dtype='int64', length=126),\n", - " 12488: Int64Index([34562, 34563, 34564, 34565, 34566, 34567, 34568, 34569, 34570,\n", - " 34571,\n", - " ...\n", - " 34678, 34679, 34680, 34681, 34682, 34683, 34684, 34685, 34686,\n", - " 34687],\n", - " dtype='int64', length=126),\n", - " 12490: Int64Index([34688, 34689, 34690, 34691, 34692, 34693, 34694, 34695, 34696,\n", - " 34697,\n", - " ...\n", - " 34804, 34805, 34806, 34807, 34808, 34809, 34810, 34811, 34812,\n", - " 34813],\n", - " dtype='int64', length=126),\n", - " 12492: Int64Index([34814, 34815, 34816, 34817, 34818, 34819, 34820, 34821, 34822,\n", - " 34823,\n", - " ...\n", - " 34930, 34931, 34932, 34933, 34934, 34935, 34936, 34937, 34938,\n", - " 34939],\n", - " dtype='int64', length=126),\n", - " 12493: Int64Index([34940, 34941, 34942, 34943, 34944, 34945, 34946, 34947, 34948,\n", - " 34949,\n", - " ...\n", - " 35056, 35057, 35058, 35059, 35060, 35061, 35062, 35063, 35064,\n", - " 35065],\n", - " dtype='int64', length=126),\n", - " 12494: Int64Index([35066, 35067, 35068, 35069, 35070, 35071, 35072, 35073, 35074,\n", - " 35075,\n", - " ...\n", - " 35182, 35183, 35184, 35185, 35186, 35187, 35188, 35189, 35190,\n", - " 35191],\n", - " dtype='int64', length=126),\n", - " 12495: Int64Index([35192, 35193, 35194, 35195, 35196, 35197, 35198, 35199, 35200,\n", - " 35201,\n", - " ...\n", - " 35308, 35309, 35310, 35311, 35312, 35313, 35314, 35315, 35316,\n", - " 35317],\n", - " dtype='int64', length=126),\n", - " 12497: Int64Index([35318, 35319, 35320, 35321, 35322, 35323, 35324, 35325, 35326,\n", - " 35327,\n", - " ...\n", - " 35434, 35435, 35436, 35437, 35438, 35439, 35440, 35441, 35442,\n", - " 35443],\n", - " dtype='int64', length=126),\n", - " 12498: Int64Index([35444, 35445, 35446, 35447, 35448, 35449, 35450, 35451, 35452,\n", - " 35453, 35454, 35455, 35456, 35457, 35458, 35459, 35460, 35461,\n", - " 35462, 35463, 35464, 35465, 35466, 35467, 35468, 35469, 35470,\n", - " 35471, 35472, 35473, 35474, 35475, 35476, 35477, 35478, 35479,\n", - " 35480, 35481, 35482, 35483, 35484, 35485, 35486, 35487, 35488,\n", - " 35489, 35490, 35491, 35492, 35493, 35494, 35495, 35496, 35497,\n", - " 35498, 35499, 35500, 35501, 35502, 35503, 35504, 35505, 35506,\n", - " 35507, 35508, 35509, 35510, 35511, 35512, 35513, 35514, 35515,\n", - " 35516, 35517, 35518, 35519, 35520, 35521, 35522, 35523, 35524,\n", - " 35525, 35526, 35527, 35528, 35529, 35530, 35531, 35532, 35533,\n", - " 35534, 35535, 35536, 35537, 35538, 35539, 35540, 35541],\n", - " dtype='int64'),\n", - " 12500: Int64Index([35542, 35543, 35544, 35545, 35546, 35547, 35548, 35549, 35550,\n", - " 35551,\n", - " ...\n", - " 35658, 35659, 35660, 35661, 35662, 35663, 35664, 35665, 35666,\n", - " 35667],\n", - " dtype='int64', length=126),\n", - " 12502: Int64Index([35668, 35669, 35670, 35671, 35672, 35673, 35674, 35675, 35676,\n", - " 35677,\n", - " ...\n", - " 35784, 35785, 35786, 35787, 35788, 35789, 35790, 35791, 35792,\n", - " 35793],\n", - " dtype='int64', length=126),\n", - " 12503: Int64Index([35794, 35795, 35796, 35797, 35798, 35799, 35800, 35801, 35802,\n", - " 35803,\n", - " ...\n", - " 35910, 35911, 35912, 35913, 35914, 35915, 35916, 35917, 35918,\n", - " 35919],\n", - " dtype='int64', length=126),\n", - " 12505: Int64Index([35920, 35921, 35922, 35923, 35924, 35925, 35926, 35927, 35928,\n", - " 35929,\n", - " ...\n", - " 36036, 36037, 36038, 36039, 36040, 36041, 36042, 36043, 36044,\n", - " 36045],\n", - " dtype='int64', length=126),\n", - " 12508: Int64Index([36046, 36047, 36048, 36049, 36050, 36051, 36052, 36053, 36054,\n", - " 36055,\n", - " ...\n", - " 36162, 36163, 36164, 36165, 36166, 36167, 36168, 36169, 36170,\n", - " 36171],\n", - " dtype='int64', length=126),\n", - " 12510: Int64Index([36172, 36173, 36174, 36175, 36176, 36177, 36178, 36179, 36180,\n", - " 36181,\n", - " ...\n", - " 36288, 36289, 36290, 36291, 36292, 36293, 36294, 36295, 36296,\n", - " 36297],\n", - " dtype='int64', length=126),\n", - " 12513: Int64Index([36298, 36299, 36300, 36301, 36302, 36303, 36304, 36305, 36306,\n", - " 36307,\n", - " ...\n", - " 36414, 36415, 36416, 36417, 36418, 36419, 36420, 36421, 36422,\n", - " 36423],\n", - " dtype='int64', length=126),\n", - " 12514: Int64Index([36424, 36425, 36426, 36427, 36428, 36429, 36430, 36431, 36432,\n", - " 36433,\n", - " ...\n", - " 36540, 36541, 36542, 36543, 36544, 36545, 36546, 36547, 36548,\n", - " 36549],\n", - " dtype='int64', length=126),\n", - " 12515: Int64Index([36550, 36551, 36552, 36553, 36554, 36555, 36556, 36557, 36558,\n", - " 36559,\n", - " ...\n", - " 36666, 36667, 36668, 36669, 36670, 36671, 36672, 36673, 36674,\n", - " 36675],\n", - " dtype='int64', length=126),\n", - " 12516: Int64Index([36676, 36677, 36678, 36679, 36680, 36681, 36682, 36683, 36684,\n", - " 36685,\n", - " ...\n", - " 36792, 36793, 36794, 36795, 36796, 36797, 36798, 36799, 36800,\n", - " 36801],\n", - " dtype='int64', length=126),\n", - " 12521: Int64Index([36802, 36803, 36804, 36805, 36806, 36807, 36808, 36809, 36810,\n", - " 36811,\n", - " ...\n", - " 36918, 36919, 36920, 36921, 36922, 36923, 36924, 36925, 36926,\n", - " 36927],\n", - " dtype='int64', length=126),\n", - " 12523: Int64Index([36928, 36929, 36930, 36931, 36932, 36933, 36934, 36935, 36936,\n", - " 36937,\n", - " ...\n", - " 37044, 37045, 37046, 37047, 37048, 37049, 37050, 37051, 37052,\n", - " 37053],\n", - " dtype='int64', length=126),\n", - " 12527: Int64Index([37054, 37055, 37056, 37057, 37058, 37059, 37060, 37061, 37062,\n", - " 37063,\n", - " ...\n", - " 37170, 37171, 37172, 37173, 37174, 37175, 37176, 37177, 37178,\n", - " 37179],\n", - " dtype='int64', length=126),\n", - " 12528: Int64Index([37180, 37181, 37182, 37183, 37184, 37185, 37186, 37187, 37188,\n", - " 37189,\n", - " ...\n", - " 37296, 37297, 37298, 37299, 37300, 37301, 37302, 37303, 37304,\n", - " 37305],\n", - " dtype='int64', length=126),\n", - " 12530: Int64Index([37306, 37307, 37308, 37309, 37310, 37311, 37312, 37313, 37314,\n", - " 37315,\n", - " ...\n", - " 37422, 37423, 37424, 37425, 37426, 37427, 37428, 37429, 37430,\n", - " 37431],\n", - " dtype='int64', length=126),\n", - " 12531: Int64Index([37432, 37433, 37434, 37435, 37436, 37437, 37438, 37439, 37440,\n", - " 37441,\n", - " ...\n", - " 37548, 37549, 37550, 37551, 37552, 37553, 37554, 37555, 37556,\n", - " 37557],\n", - " dtype='int64', length=126),\n", - " 12533: Int64Index([37558, 37559, 37560, 37561, 37562, 37563, 37564, 37565, 37566,\n", - " 37567,\n", - " ...\n", - " 37674, 37675, 37676, 37677, 37678, 37679, 37680, 37681, 37682,\n", - " 37683],\n", - " dtype='int64', length=126),\n", - " 12534: Int64Index([37684, 37685, 37686, 37687, 37688, 37689, 37690, 37691, 37692,\n", - " 37693,\n", - " ...\n", - " 37800, 37801, 37802, 37803, 37804, 37805, 37806, 37807, 37808,\n", - " 37809],\n", - " dtype='int64', length=126),\n", - " 12535: Int64Index([37810, 37811, 37812, 37813, 37814, 37815, 37816, 37817, 37818,\n", - " 37819,\n", - " ...\n", - " 37926, 37927, 37928, 37929, 37930, 37931, 37932, 37933, 37934,\n", - " 37935],\n", - " dtype='int64', length=126),\n", - " 12536: Int64Index([37936, 37937, 37938, 37939, 37940, 37941, 37942, 37943, 37944,\n", - " 37945,\n", - " ...\n", - " 38052, 38053, 38054, 38055, 38056, 38057, 38058, 38059, 38060,\n", - " 38061],\n", - " dtype='int64', length=126),\n", - " 12537: Int64Index([38062, 38063, 38064, 38065, 38066, 38067, 38068, 38069, 38070,\n", - " 38071,\n", - " ...\n", - " 38178, 38179, 38180, 38181, 38182, 38183, 38184, 38185, 38186,\n", - " 38187],\n", - " dtype='int64', length=126),\n", - " 12540: Int64Index([38188, 38189, 38190, 38191, 38192, 38193, 38194, 38195, 38196,\n", - " 38197,\n", - " ...\n", - " 38304, 38305, 38306, 38307, 38308, 38309, 38310, 38311, 38312,\n", - " 38313],\n", - " dtype='int64', length=126),\n", - " 12541: Int64Index([38314, 38315, 38316, 38317, 38318, 38319, 38320, 38321, 38322,\n", - " 38323,\n", - " ...\n", - " 38430, 38431, 38432, 38433, 38434, 38435, 38436, 38437, 38438,\n", - " 38439],\n", - " dtype='int64', length=126),\n", - " 12542: Int64Index([38440, 38441, 38442, 38443, 38444, 38445, 38446, 38447, 38448,\n", - " 38449,\n", - " ...\n", - " 38556, 38557, 38558, 38559, 38560, 38561, 38562, 38563, 38564,\n", - " 38565],\n", - " dtype='int64', length=126),\n", - " 12543: Int64Index([38566, 38567, 38568, 38569, 38570, 38571, 38572, 38573, 38574,\n", - " 38575,\n", - " ...\n", - " 38682, 38683, 38684, 38685, 38686, 38687, 38688, 38689, 38690,\n", - " 38691],\n", - " dtype='int64', length=126),\n", - " 12552: Int64Index([38692, 38693, 38694, 38695, 38696, 38697, 38698, 38699, 38700,\n", - " 38701,\n", - " ...\n", - " 38808, 38809, 38810, 38811, 38812, 38813, 38814, 38815, 38816,\n", - " 38817],\n", - " dtype='int64', length=126),\n", - " 12556: Int64Index([38818, 38819, 38820, 38821, 38822, 38823, 38824, 38825, 38826,\n", - " 38827,\n", - " ...\n", - " 38934, 38935, 38936, 38937, 38938, 38939, 38940, 38941, 38942,\n", - " 38943],\n", - " dtype='int64', length=126),\n", - " 12558: Int64Index([38944, 38945, 38946, 38947, 38948, 38949, 38950, 38951, 38952,\n", - " 38953,\n", - " ...\n", - " 39060, 39061, 39062, 39063, 39064, 39065, 39066, 39067, 39068,\n", - " 39069],\n", - " dtype='int64', length=126),\n", - " 12559: Int64Index([39070, 39071, 39072, 39073, 39074, 39075, 39076, 39077, 39078,\n", - " 39079,\n", - " ...\n", - " 39186, 39187, 39188, 39189, 39190, 39191, 39192, 39193, 39194,\n", - " 39195],\n", - " dtype='int64', length=126),\n", - " 12560: Int64Index([39196, 39197, 39198, 39199, 39200, 39201, 39202, 39203, 39204,\n", - " 39205,\n", - " ...\n", - " 39312, 39313, 39314, 39315, 39316, 39317, 39318, 39319, 39320,\n", - " 39321],\n", - " dtype='int64', length=126),\n", - " 12564: Int64Index([39322, 39323, 39324, 39325, 39326, 39327, 39328, 39329, 39330,\n", - " 39331,\n", - " ...\n", - " 39438, 39439, 39440, 39441, 39442, 39443, 39444, 39445, 39446,\n", - " 39447],\n", - " dtype='int64', length=126),\n", - " 12565: Int64Index([39448, 39449, 39450, 39451, 39452, 39453, 39454, 39455, 39456,\n", - " 39457,\n", - " ...\n", - " 39564, 39565, 39566, 39567, 39568, 39569, 39570, 39571, 39572,\n", - " 39573],\n", - " dtype='int64', length=126),\n", - " 12566: Int64Index([39574, 39575, 39576, 39577, 39578, 39579, 39580, 39581, 39582,\n", - " 39583,\n", - " ...\n", - " 39690, 39691, 39692, 39693, 39694, 39695, 39696, 39697, 39698,\n", - " 39699],\n", - " dtype='int64', length=126),\n", - " 12569: Int64Index([39700, 39701, 39702, 39703, 39704, 39705, 39706, 39707, 39708,\n", - " 39709,\n", - " ...\n", - " 39816, 39817, 39818, 39819, 39820, 39821, 39822, 39823, 39824,\n", - " 39825],\n", - " dtype='int64', length=126),\n", - " 12570: Int64Index([39826, 39827, 39828, 39829, 39830, 39831, 39832, 39833, 39834,\n", - " 39835,\n", - " ...\n", - " 39942, 39943, 39944, 39945, 39946, 39947, 39948, 39949, 39950,\n", - " 39951],\n", - " dtype='int64', length=126),\n", - " 12573: Int64Index([39952, 39953, 39954, 39955, 39956, 39957, 39958, 39959, 39960,\n", - " 39961,\n", - " ...\n", - " 40068, 40069, 40070, 40071, 40072, 40073, 40074, 40075, 40076,\n", - " 40077],\n", - " dtype='int64', length=126),\n", - " 12575: Int64Index([40078, 40079, 40080, 40081, 40082, 40083, 40084, 40085, 40086,\n", - " 40087,\n", - " ...\n", - " 40189, 40190, 40191, 40192, 40193, 40194, 40195, 40196, 40197,\n", - " 40198],\n", - " dtype='int64', length=121),\n", - " 12577: Int64Index([40199, 40200, 40201, 40202, 40203, 40204, 40205, 40206, 40207,\n", - " 40208,\n", - " ...\n", - " 40315, 40316, 40317, 40318, 40319, 40320, 40321, 40322, 40323,\n", - " 40324],\n", - " dtype='int64', length=126),\n", - " 12578: Int64Index([40325, 40326, 40327, 40328, 40329, 40330, 40331, 40332, 40333,\n", - " 40334,\n", - " ...\n", - " 40441, 40442, 40443, 40444, 40445, 40446, 40447, 40448, 40449,\n", - " 40450],\n", - " dtype='int64', length=126),\n", - " 12579: Int64Index([40451, 40452, 40453, 40454, 40455, 40456, 40457, 40458, 40459,\n", - " 40460,\n", - " ...\n", - " 40567, 40568, 40569, 40570, 40571, 40572, 40573, 40574, 40575,\n", - " 40576],\n", - " dtype='int64', length=126),\n", - " 12582: Int64Index([40577, 40578, 40579, 40580, 40581, 40582, 40583, 40584, 40585,\n", - " 40586,\n", - " ...\n", - " 40693, 40694, 40695, 40696, 40697, 40698, 40699, 40700, 40701,\n", - " 40702],\n", - " dtype='int64', length=126),\n", - " 12583: Int64Index([40703, 40704, 40705, 40706, 40707, 40708, 40709, 40710, 40711,\n", - " 40712,\n", - " ...\n", - " 40819, 40820, 40821, 40822, 40823, 40824, 40825, 40826, 40827,\n", - " 40828],\n", - " dtype='int64', length=126),\n", - " 12584: Int64Index([40829, 40830, 40831, 40832, 40833, 40834, 40835, 40836, 40837,\n", - " 40838,\n", - " ...\n", - " 40945, 40946, 40947, 40948, 40949, 40950, 40951, 40952, 40953,\n", - " 40954],\n", - " dtype='int64', length=126),\n", - " 12587: Int64Index([40955, 40956, 40957, 40958, 40959, 40960, 40961, 40962, 40963,\n", - " 40964,\n", - " ...\n", - " 41071, 41072, 41073, 41074, 41075, 41076, 41077, 41078, 41079,\n", - " 41080],\n", - " dtype='int64', length=126),\n", - " 12588: Int64Index([41081, 41082, 41083, 41084, 41085, 41086, 41087, 41088, 41089,\n", - " 41090,\n", - " ...\n", - " 41197, 41198, 41199, 41200, 41201, 41202, 41203, 41204, 41205,\n", - " 41206],\n", - " dtype='int64', length=126),\n", - " 12591: Int64Index([41207, 41208, 41209, 41210, 41211, 41212, 41213, 41214, 41215,\n", - " 41216,\n", - " ...\n", - " 41323, 41324, 41325, 41326, 41327, 41328, 41329, 41330, 41331,\n", - " 41332],\n", - " dtype='int64', length=126),\n", - " 12592: Int64Index([41333, 41334, 41335, 41336, 41337, 41338, 41339, 41340, 41341,\n", - " 41342,\n", - " ...\n", - " 41449, 41450, 41451, 41452, 41453, 41454, 41455, 41456, 41457,\n", - " 41458],\n", - " dtype='int64', length=126),\n", - " 12593: Int64Index([41459, 41460, 41461, 41462, 41463, 41464, 41465, 41466, 41467,\n", - " 41468,\n", - " ...\n", - " 41575, 41576, 41577, 41578, 41579, 41580, 41581, 41582, 41583,\n", - " 41584],\n", - " dtype='int64', length=126),\n", - " 12594: Int64Index([41585, 41586, 41587, 41588, 41589, 41590, 41591, 41592, 41593,\n", - " 41594,\n", - " ...\n", - " 41701, 41702, 41703, 41704, 41705, 41706, 41707, 41708, 41709,\n", - " 41710],\n", - " dtype='int64', length=126),\n", - " 12595: Int64Index([41711, 41712, 41713, 41714, 41715, 41716, 41717, 41718, 41719,\n", - " 41720,\n", - " ...\n", - " 41827, 41828, 41829, 41830, 41831, 41832, 41833, 41834, 41835,\n", - " 41836],\n", - " dtype='int64', length=126),\n", - " 12596: Int64Index([41837, 41838, 41839, 41840, 41841, 41842, 41843, 41844, 41845,\n", - " 41846,\n", - " ...\n", - " 41953, 41954, 41955, 41956, 41957, 41958, 41959, 41960, 41961,\n", - " 41962],\n", - " dtype='int64', length=126),\n", - " 12615: Int64Index([41963, 41964, 41965, 41966, 41967, 41968, 41969, 41970, 41971,\n", - " 41972,\n", - " ...\n", - " 42079, 42080, 42081, 42082, 42083, 42084, 42085, 42086, 42087,\n", - " 42088],\n", - " dtype='int64', length=126),\n", - " 12621: Int64Index([42089, 42090, 42091, 42092, 42093, 42094, 42095, 42096, 42097,\n", - " 42098,\n", - " ...\n", - " 42205, 42206, 42207, 42208, 42209, 42210, 42211, 42212, 42213,\n", - " 42214],\n", - " dtype='int64', length=126),\n", - " 12622: Int64Index([42215, 42216, 42217, 42218, 42219, 42220, 42221, 42222, 42223,\n", - " 42224,\n", - " ...\n", - " 42331, 42332, 42333, 42334, 42335, 42336, 42337, 42338, 42339,\n", - " 42340],\n", - " dtype='int64', length=126),\n", - " 12623: Int64Index([42341, 42342, 42343, 42344, 42345, 42346, 42347, 42348, 42349,\n", - " 42350,\n", - " ...\n", - " 42457, 42458, 42459, 42460, 42461, 42462, 42463, 42464, 42465,\n", - " 42466],\n", - " dtype='int64', length=126),\n", - " 12624: Int64Index([42467, 42468, 42469, 42470, 42471, 42472, 42473, 42474, 42475,\n", - " 42476,\n", - " ...\n", - " 42583, 42584, 42585, 42586, 42587, 42588, 42589, 42590, 42591,\n", - " 42592],\n", - " dtype='int64', length=126),\n", - " 12625: Int64Index([42593, 42594, 42595, 42596, 42597, 42598, 42599, 42600, 42601,\n", - " 42602,\n", - " ...\n", - " 42709, 42710, 42711, 42712, 42713, 42714, 42715, 42716, 42717,\n", - " 42718],\n", - " dtype='int64', length=126),\n", - " 12628: Int64Index([42719, 42720, 42721, 42722, 42723, 42724, 42725, 42726, 42727,\n", - " 42728,\n", - " ...\n", - " 42835, 42836, 42837, 42838, 42839, 42840, 42841, 42842, 42843,\n", - " 42844],\n", - " dtype='int64', length=126),\n", - " 12629: Int64Index([42845, 42846, 42847, 42848, 42849, 42850, 42851, 42852, 42853,\n", - " 42854,\n", - " ...\n", - " 42961, 42962, 42963, 42964, 42965, 42966, 42967, 42968, 42969,\n", - " 42970],\n", - " dtype='int64', length=126),\n", - " 12631: Int64Index([42971, 42972, 42973, 42974, 42975, 42976, 42977, 42978, 42979,\n", - " 42980,\n", - " ...\n", - " 43087, 43088, 43089, 43090, 43091, 43092, 43093, 43094, 43095,\n", - " 43096],\n", - " dtype='int64', length=126),\n", - " 12633: Int64Index([43097, 43098, 43099, 43100, 43101, 43102, 43103, 43104, 43105,\n", - " 43106,\n", - " ...\n", - " 43213, 43214, 43215, 43216, 43217, 43218, 43219, 43220, 43221,\n", - " 43222],\n", - " dtype='int64', length=126),\n", - " 12638: Int64Index([43223, 43224, 43225, 43226, 43227, 43228, 43229, 43230, 43231,\n", - " 43232,\n", - " ...\n", - " 43339, 43340, 43341, 43342, 43343, 43344, 43345, 43346, 43347,\n", - " 43348],\n", - " dtype='int64', length=126),\n", - " 12639: Int64Index([43349, 43350, 43351, 43352, 43353, 43354, 43355, 43356, 43357,\n", - " 43358,\n", - " ...\n", - " 43465, 43466, 43467, 43468, 43469, 43470, 43471, 43472, 43473,\n", - " 43474],\n", - " dtype='int64', length=126),\n", - " 12640: Int64Index([43475, 43476, 43477, 43478, 43479, 43480, 43481, 43482, 43483,\n", - " 43484,\n", - " ...\n", - " 43591, 43592, 43593, 43594, 43595, 43596, 43597, 43598, 43599,\n", - " 43600],\n", - " dtype='int64', length=126),\n", - " 12641: Int64Index([43601, 43602, 43603, 43604, 43605, 43606, 43607, 43608, 43609,\n", - " 43610,\n", - " ...\n", - " 43717, 43718, 43719, 43720, 43721, 43722, 43723, 43724, 43725,\n", - " 43726],\n", - " dtype='int64', length=126),\n", - " 12644: Int64Index([43727, 43728, 43729, 43730, 43731, 43732, 43733, 43734, 43735,\n", - " 43736,\n", - " ...\n", - " 43843, 43844, 43845, 43846, 43847, 43848, 43849, 43850, 43851,\n", - " 43852],\n", - " dtype='int64', length=126),\n", - " 12645: Int64Index([43853, 43854, 43855, 43856, 43857, 43858, 43859, 43860, 43861,\n", - " 43862,\n", - " ...\n", - " 43969, 43970, 43971, 43972, 43973, 43974, 43975, 43976, 43977,\n", - " 43978],\n", - " dtype='int64', length=126),\n", - " 12646: Int64Index([43979, 43980, 43981, 43982, 43983, 43984, 43985, 43986, 43987,\n", - " 43988,\n", - " ...\n", - " 44095, 44096, 44097, 44098, 44099, 44100, 44101, 44102, 44103,\n", - " 44104],\n", - " dtype='int64', length=126),\n", - " 12647: Int64Index([44105, 44106, 44107, 44108, 44109, 44110, 44111, 44112, 44113,\n", - " 44114,\n", - " ...\n", - " 44221, 44222, 44223, 44224, 44225, 44226, 44227, 44228, 44229,\n", - " 44230],\n", - " dtype='int64', length=126),\n", - " 12648: Int64Index([44231, 44232, 44233, 44234, 44235, 44236, 44237, 44238, 44239,\n", - " 44240,\n", - " ...\n", - " 44347, 44348, 44349, 44350, 44351, 44352, 44353, 44354, 44355,\n", - " 44356],\n", - " dtype='int64', length=126),\n", - " 12649: Int64Index([44357, 44358, 44359, 44360, 44361, 44362, 44363, 44364, 44365,\n", - " 44366,\n", - " ...\n", - " 44473, 44474, 44475, 44476, 44477, 44478, 44479, 44480, 44481,\n", - " 44482],\n", - " dtype='int64', length=126),\n", - " 12650: Int64Index([44483, 44484, 44485, 44486, 44487, 44488, 44489, 44490, 44491,\n", - " 44492,\n", - " ...\n", - " 44599, 44600, 44601, 44602, 44603, 44604, 44605, 44606, 44607,\n", - " 44608],\n", - " dtype='int64', length=126),\n", - " 12651: Int64Index([44609, 44610, 44611, 44612, 44613, 44614, 44615, 44616, 44617,\n", - " 44618,\n", - " ...\n", - " 44725, 44726, 44727, 44728, 44729, 44730, 44731, 44732, 44733,\n", - " 44734],\n", - " dtype='int64', length=126),\n", - " 12652: Int64Index([44735, 44736, 44737, 44738, 44739, 44740, 44741, 44742, 44743,\n", - " 44744,\n", - " ...\n", - " 44851, 44852, 44853, 44854, 44855, 44856, 44857, 44858, 44859,\n", - " 44860],\n", - " dtype='int64', length=126),\n", - " 12653: Int64Index([44861, 44862, 44863, 44864, 44865, 44866, 44867, 44868, 44869,\n", - " 44870,\n", - " ...\n", - " 44977, 44978, 44979, 44980, 44981, 44982, 44983, 44984, 44985,\n", - " 44986],\n", - " dtype='int64', length=126),\n", - " 12654: Int64Index([44987, 44988, 44989, 44990, 44991, 44992, 44993, 44994, 44995,\n", - " 44996,\n", - " ...\n", - " 45103, 45104, 45105, 45106, 45107, 45108, 45109, 45110, 45111,\n", - " 45112],\n", - " dtype='int64', length=126),\n", - " 12655: Int64Index([45113, 45114, 45115, 45116, 45117, 45118, 45119, 45120, 45121,\n", - " 45122,\n", - " ...\n", - " 45229, 45230, 45231, 45232, 45233, 45234, 45235, 45236, 45237,\n", - " 45238],\n", - " dtype='int64', length=126),\n", - " 12656: Int64Index([45239, 45240, 45241, 45242, 45243, 45244, 45245, 45246, 45247,\n", - " 45248,\n", - " ...\n", - " 45355, 45356, 45357, 45358, 45359, 45360, 45361, 45362, 45363,\n", - " 45364],\n", - " dtype='int64', length=126),\n", - " 12657: Int64Index([45365, 45366, 45367, 45368, 45369, 45370, 45371, 45372, 45373,\n", - " 45374,\n", - " ...\n", - " 45481, 45482, 45483, 45484, 45485, 45486, 45487, 45488, 45489,\n", - " 45490],\n", - " dtype='int64', length=126),\n", - " 12658: Int64Index([45491, 45492, 45493, 45494, 45495, 45496, 45497, 45498, 45499,\n", - " 45500,\n", - " ...\n", - " 45607, 45608, 45609, 45610, 45611, 45612, 45613, 45614, 45615,\n", - " 45616],\n", - " dtype='int64', length=126),\n", - " 12659: Int64Index([45617, 45618, 45619, 45620, 45621, 45622, 45623, 45624, 45625,\n", - " 45626,\n", - " ...\n", - " 45733, 45734, 45735, 45736, 45737, 45738, 45739, 45740, 45741,\n", - " 45742],\n", - " dtype='int64', length=126),\n", - " 12660: Int64Index([45743, 45744, 45745, 45746, 45747, 45748, 45749, 45750, 45751,\n", - " 45752,\n", - " ...\n", - " 45859, 45860, 45861, 45862, 45863, 45864, 45865, 45866, 45867,\n", - " 45868],\n", - " dtype='int64', length=126),\n", - " 12662: Int64Index([45869, 45870, 45871, 45872, 45873, 45874, 45875, 45876, 45877,\n", - " 45878,\n", - " ...\n", - " 45985, 45986, 45987, 45988, 45989, 45990, 45991, 45992, 45993,\n", - " 45994],\n", - " dtype='int64', length=126),\n", - " 12665: Int64Index([45995, 45996, 45997, 45998, 45999, 46000, 46001, 46002, 46003,\n", - " 46004,\n", - " ...\n", - " 46111, 46112, 46113, 46114, 46115, 46116, 46117, 46118, 46119,\n", - " 46120],\n", - " dtype='int64', length=126),\n", - " 12666: Int64Index([46121, 46122, 46123, 46124, 46125, 46126, 46127, 46128, 46129,\n", - " 46130,\n", - " ...\n", - " 46237, 46238, 46239, 46240, 46241, 46242, 46243, 46244, 46245,\n", - " 46246],\n", - " dtype='int64', length=126),\n", - " 12667: Int64Index([46247, 46248, 46249, 46250, 46251, 46252, 46253, 46254, 46255,\n", - " 46256,\n", - " ...\n", - " 46363, 46364, 46365, 46366, 46367, 46368, 46369, 46370, 46371,\n", - " 46372],\n", - " dtype='int64', length=126),\n", - " 12668: Int64Index([46373, 46374, 46375, 46376, 46377, 46378, 46379, 46380, 46381,\n", - " 46382,\n", - " ...\n", - " 46489, 46490, 46491, 46492, 46493, 46494, 46495, 46496, 46497,\n", - " 46498],\n", - " dtype='int64', length=126),\n", - " 12672: Int64Index([46499, 46500, 46501, 46502, 46503, 46504, 46505, 46506, 46507,\n", - " 46508,\n", - " ...\n", - " 46615, 46616, 46617, 46618, 46619, 46620, 46621, 46622, 46623,\n", - " 46624],\n", - " dtype='int64', length=126),\n", - " 12673: Int64Index([46625, 46626, 46627, 46628, 46629, 46630, 46631, 46632, 46633,\n", - " 46634,\n", - " ...\n", - " 46741, 46742, 46743, 46744, 46745, 46746, 46747, 46748, 46749,\n", - " 46750],\n", - " dtype='int64', length=126),\n", - " 12675: Int64Index([46751, 46752, 46753, 46754, 46755, 46756, 46757, 46758, 46759,\n", - " 46760,\n", - " ...\n", - " 46867, 46868, 46869, 46870, 46871, 46872, 46873, 46874, 46875,\n", - " 46876],\n", - " dtype='int64', length=126),\n", - " 12676: Int64Index([46877, 46878, 46879, 46880, 46881, 46882, 46883, 46884, 46885,\n", - " 46886,\n", - " ...\n", - " 46993, 46994, 46995, 46996, 46997, 46998, 46999, 47000, 47001,\n", - " 47002],\n", - " dtype='int64', length=126),\n", - " 12679: Int64Index([47003, 47004, 47005, 47006, 47007, 47008, 47009, 47010, 47011,\n", - " 47012,\n", - " ...\n", - " 47119, 47120, 47121, 47122, 47123, 47124, 47125, 47126, 47127,\n", - " 47128],\n", - " dtype='int64', length=126),\n", - " 12680: Int64Index([47129, 47130, 47131, 47132, 47133, 47134, 47135, 47136, 47137,\n", - " 47138,\n", - " ...\n", - " 47245, 47246, 47247, 47248, 47249, 47250, 47251, 47252, 47253,\n", - " 47254],\n", - " dtype='int64', length=126),\n", - " 12681: Int64Index([47255, 47256, 47257, 47258, 47259, 47260, 47261, 47262, 47263,\n", - " 47264,\n", - " ...\n", - " 47371, 47372, 47373, 47374, 47375, 47376, 47377, 47378, 47379,\n", - " 47380],\n", - " dtype='int64', length=126),\n", - " 12683: Int64Index([47381, 47382, 47383, 47384, 47385, 47386, 47387, 47388, 47389,\n", - " 47390,\n", - " ...\n", - " 47497, 47498, 47499, 47500, 47501, 47502, 47503, 47504, 47505,\n", - " 47506],\n", - " dtype='int64', length=126),\n", - " 12684: Int64Index([47507, 47508, 47509, 47510, 47511, 47512, 47513, 47514, 47515,\n", - " 47516,\n", - " ...\n", - " 47623, 47624, 47625, 47626, 47627, 47628, 47629, 47630, 47631,\n", - " 47632],\n", - " dtype='int64', length=126),\n", - " 12689: Int64Index([47633, 47634, 47635, 47636, 47637, 47638, 47639, 47640, 47641,\n", - " 47642,\n", - " ...\n", - " 47749, 47750, 47751, 47752, 47753, 47754, 47755, 47756, 47757,\n", - " 47758],\n", - " dtype='int64', length=126),\n", - " 12690: Int64Index([47759, 47760, 47761, 47762, 47763, 47764, 47765, 47766, 47767,\n", - " 47768,\n", - " ...\n", - " 47875, 47876, 47877, 47878, 47879, 47880, 47881, 47882, 47883,\n", - " 47884],\n", - " dtype='int64', length=126),\n", - " 12693: Int64Index([47885, 47886, 47887, 47888, 47889, 47890, 47891, 47892, 47893,\n", - " 47894,\n", - " ...\n", - " 48001, 48002, 48003, 48004, 48005, 48006, 48007, 48008, 48009,\n", - " 48010],\n", - " dtype='int64', length=126),\n", - " 12696: Int64Index([48011, 48012, 48013, 48014, 48015, 48016, 48017, 48018, 48019,\n", - " 48020,\n", - " ...\n", - " 48127, 48128, 48129, 48130, 48131, 48132, 48133, 48134, 48135,\n", - " 48136],\n", - " dtype='int64', length=126),\n", - " 12697: Int64Index([48137, 48138, 48139, 48140, 48141, 48142, 48143, 48144, 48145,\n", - " 48146,\n", - " ...\n", - " 48253, 48254, 48255, 48256, 48257, 48258, 48259, 48260, 48261,\n", - " 48262],\n", - " dtype='int64', length=126),\n", - " 12699: Int64Index([48263, 48264, 48265, 48266, 48267, 48268, 48269, 48270, 48271,\n", - " 48272,\n", - " ...\n", - " 48379, 48380, 48381, 48382, 48383, 48384, 48385, 48386, 48387,\n", - " 48388],\n", - " dtype='int64', length=126),\n", - " 12717: Int64Index([48389, 48390, 48391, 48392, 48393, 48394, 48395, 48396, 48397,\n", - " 48398,\n", - " ...\n", - " 48505, 48506, 48507, 48508, 48509, 48510, 48511, 48512, 48513,\n", - " 48514],\n", - " dtype='int64', length=126),\n", - " 12727: Int64Index([48515, 48516, 48517, 48518, 48519, 48520, 48521, 48522, 48523,\n", - " 48524,\n", - " ...\n", - " 48631, 48632, 48633, 48634, 48635, 48636, 48637, 48638, 48639,\n", - " 48640],\n", - " dtype='int64', length=126),\n", - " 12728: Int64Index([48641, 48642, 48643, 48644, 48645, 48646, 48647, 48648, 48649,\n", - " 48650,\n", - " ...\n", - " 48757, 48758, 48759, 48760, 48761, 48762, 48763, 48764, 48765,\n", - " 48766],\n", - " dtype='int64', length=126),\n", - " 12729: Int64Index([48767, 48768, 48769, 48770, 48771, 48772, 48773, 48774, 48775,\n", - " 48776,\n", - " ...\n", - " 48883, 48884, 48885, 48886, 48887, 48888, 48889, 48890, 48891,\n", - " 48892],\n", - " dtype='int64', length=126),\n", - " 12732: Int64Index([48893, 48894, 48895, 48896, 48897, 48898, 48899, 48900, 48901,\n", - " 48902,\n", - " ...\n", - " 49009, 49010, 49011, 49012, 49013, 49014, 49015, 49016, 49017,\n", - " 49018],\n", - " dtype='int64', length=126),\n", - " 12741: Int64Index([49019, 49020, 49021, 49022, 49023, 49024, 49025, 49026, 49027,\n", - " 49028,\n", - " ...\n", - " 49135, 49136, 49137, 49138, 49139, 49140, 49141, 49142, 49143,\n", - " 49144],\n", - " dtype='int64', length=126),\n", - " 12744: Int64Index([49145, 49146, 49147, 49148, 49149, 49150, 49151, 49152, 49153,\n", - " 49154,\n", - " ...\n", - " 49261, 49262, 49263, 49264, 49265, 49266, 49267, 49268, 49269,\n", - " 49270],\n", - " dtype='int64', length=126),\n", - " 12745: Int64Index([49271, 49272, 49273, 49274, 49275, 49276, 49277, 49278, 49279,\n", - " 49280,\n", - " ...\n", - " 49387, 49388, 49389, 49390, 49391, 49392, 49393, 49394, 49395,\n", - " 49396],\n", - " dtype='int64', length=126),\n", - " 12746: Int64Index([49397, 49398, 49399, 49400, 49401, 49402, 49403, 49404, 49405,\n", - " 49406,\n", - " ...\n", - " 49507, 49508, 49509, 49510, 49511, 49512, 49513, 49514, 49515,\n", - " 49516],\n", - " dtype='int64', length=120),\n", - " 12747: Int64Index([49517, 49518, 49519, 49520, 49521, 49522, 49523, 49524, 49525,\n", - " 49526,\n", - " ...\n", - " 49633, 49634, 49635, 49636, 49637, 49638, 49639, 49640, 49641,\n", - " 49642],\n", - " dtype='int64', length=126),\n", - " 12748: Int64Index([49643, 49644, 49645, 49646, 49647, 49648, 49649, 49650, 49651,\n", - " 49652,\n", - " ...\n", - " 49759, 49760, 49761, 49762, 49763, 49764, 49765, 49766, 49767,\n", - " 49768],\n", - " dtype='int64', length=126),\n", - " 12751: Int64Index([49769, 49770, 49771, 49772, 49773, 49774, 49775, 49776, 49777,\n", - " 49778,\n", - " ...\n", - " 49885, 49886, 49887, 49888, 49889, 49890, 49891, 49892, 49893,\n", - " 49894],\n", - " dtype='int64', length=126),\n", - " 12753: Int64Index([49895, 49896, 49897, 49898, 49899, 49900, 49901, 49902, 49903,\n", - " 49904,\n", - " ...\n", - " 50011, 50012, 50013, 50014, 50015, 50016, 50017, 50018, 50019,\n", - " 50020],\n", - " dtype='int64', length=126),\n", - " 12754: Int64Index([50021, 50022, 50023, 50024, 50025, 50026, 50027, 50028, 50029,\n", - " 50030,\n", - " ...\n", - " 50137, 50138, 50139, 50140, 50141, 50142, 50143, 50144, 50145,\n", - " 50146],\n", - " dtype='int64', length=126),\n", - " 12756: Int64Index([50147, 50148, 50149, 50150, 50151, 50152, 50153, 50154, 50155,\n", - " 50156,\n", - " ...\n", - " 50263, 50264, 50265, 50266, 50267, 50268, 50269, 50270, 50271,\n", - " 50272],\n", - " dtype='int64', length=126),\n", - " 12758: Int64Index([50273, 50274, 50275, 50276, 50277, 50278, 50279, 50280, 50281,\n", - " 50282,\n", - " ...\n", - " 50389, 50390, 50391, 50392, 50393, 50394, 50395, 50396, 50397,\n", - " 50398],\n", - " dtype='int64', length=126),\n", - " 12759: Int64Index([50399, 50400, 50401, 50402, 50403, 50404, 50405, 50406, 50407,\n", - " 50408,\n", - " ...\n", - " 50515, 50516, 50517, 50518, 50519, 50520, 50521, 50522, 50523,\n", - " 50524],\n", - " dtype='int64', length=126),\n", - " 12781: Int64Index([50525, 50526, 50527, 50528, 50529, 50530, 50531, 50532, 50533,\n", - " 50534,\n", - " ...\n", - " 50641, 50642, 50643, 50644, 50645, 50646, 50647, 50648, 50649,\n", - " 50650],\n", - " dtype='int64', length=126),\n", - " 12783: Int64Index([50651, 50652, 50653, 50654, 50655, 50656, 50657, 50658, 50659,\n", - " 50660,\n", - " ...\n", - " 50767, 50768, 50769, 50770, 50771, 50772, 50773, 50774, 50775,\n", - " 50776],\n", - " dtype='int64', length=126),\n", - " 12786: Int64Index([50777, 50778, 50779, 50780, 50781, 50782, 50783, 50784, 50785,\n", - " 50786,\n", - " ...\n", - " 50893, 50894, 50895, 50896, 50897, 50898, 50899, 50900, 50901,\n", - " 50902],\n", - " dtype='int64', length=126),\n", - " 12788: Int64Index([50903, 50904, 50905, 50906, 50907, 50908, 50909, 50910, 50911,\n", - " 50912,\n", - " ...\n", - " 51019, 51020, 51021, 51022, 51023, 51024, 51025, 51026, 51027,\n", - " 51028],\n", - " dtype='int64', length=126),\n", - " 12789: Int64Index([51029, 51030, 51031, 51032, 51033, 51034, 51035, 51036, 51037,\n", - " 51038,\n", - " ...\n", - " 51145, 51146, 51147, 51148, 51149, 51150, 51151, 51152, 51153,\n", - " 51154],\n", - " dtype='int64', length=126),\n", - " 12792: Int64Index([51155, 51156, 51157, 51158, 51159, 51160, 51161, 51162, 51163,\n", - " 51164,\n", - " ...\n", - " 51271, 51272, 51273, 51274, 51275, 51276, 51277, 51278, 51279,\n", - " 51280],\n", - " dtype='int64', length=126),\n", - " 12796: Int64Index([51281, 51282, 51283, 51284, 51285, 51286, 51287, 51288, 51289,\n", - " 51290,\n", - " ...\n", - " 51397, 51398, 51399, 51400, 51401, 51402, 51403, 51404, 51405,\n", - " 51406],\n", - " dtype='int64', length=126),\n", - " 12798: Int64Index([51407, 51408, 51409, 51410, 51411, 51412, 51413, 51414, 51415,\n", - " 51416,\n", - " ...\n", - " 51523, 51524, 51525, 51526, 51527, 51528, 51529, 51530, 51531,\n", - " 51532],\n", - " dtype='int64', length=126),\n", - " 12799: Int64Index([51533, 51534, 51535, 51536, 51537, 51538, 51539, 51540, 51541,\n", - " 51542,\n", - " ...\n", - " 51649, 51650, 51651, 51652, 51653, 51654, 51655, 51656, 51657,\n", - " 51658],\n", - " dtype='int64', length=126),\n", - " 12826: Int64Index([51659, 51660, 51661, 51662, 51663, 51664, 51665, 51666, 51667,\n", - " 51668,\n", - " ...\n", - " 51775, 51776, 51777, 51778, 51779, 51780, 51781, 51782, 51783,\n", - " 51784],\n", - " dtype='int64', length=126),\n", - " 12828: Int64Index([51785, 51786, 51787, 51788, 51789, 51790, 51791, 51792, 51793,\n", - " 51794,\n", - " ...\n", - " 51901, 51902, 51903, 51904, 51905, 51906, 51907, 51908, 51909,\n", - " 51910],\n", - " dtype='int64', length=126),\n", - " 12832: Int64Index([51911, 51912, 51913, 51914, 51915, 51916, 51917, 51918, 51919,\n", - " 51920,\n", - " ...\n", - " 52027, 52028, 52029, 52030, 52031, 52032, 52033, 52034, 52035,\n", - " 52036],\n", - " dtype='int64', length=126),\n", - " 12833: Int64Index([52037, 52038, 52039, 52040, 52041, 52042, 52043, 52044, 52045,\n", - " 52046,\n", - " ...\n", - " 52153, 52154, 52155, 52156, 52157, 52158, 52159, 52160, 52161,\n", - " 52162],\n", - " dtype='int64', length=126),\n", - " 12834: Int64Index([52163, 52164, 52165, 52166, 52167, 52168, 52169, 52170, 52171,\n", - " 52172,\n", - " ...\n", - " 52279, 52280, 52281, 52282, 52283, 52284, 52285, 52286, 52287,\n", - " 52288],\n", - " dtype='int64', length=126),\n", - " 12839: Int64Index([52289, 52290, 52291, 52292, 52293, 52294, 52295, 52296, 52297,\n", - " 52298,\n", - " ...\n", - " 52405, 52406, 52407, 52408, 52409, 52410, 52411, 52412, 52413,\n", - " 52414],\n", - " dtype='int64', length=126),\n", - " 12840: Int64Index([52415, 52416, 52417, 52418, 52419, 52420, 52421, 52422, 52423,\n", - " 52424,\n", - " ...\n", - " 52531, 52532, 52533, 52534, 52535, 52536, 52537, 52538, 52539,\n", - " 52540],\n", - " dtype='int64', length=126),\n", - " 12841: Int64Index([52541, 52542, 52543, 52544, 52545, 52546, 52547, 52548, 52549,\n", - " 52550,\n", - " ...\n", - " 52657, 52658, 52659, 52660, 52661, 52662, 52663, 52664, 52665,\n", - " 52666],\n", - " dtype='int64', length=126),\n", - " 12842: Int64Index([52667, 52668, 52669, 52670, 52671, 52672, 52673, 52674, 52675,\n", - " 52676,\n", - " ...\n", - " 52783, 52784, 52785, 52786, 52787, 52788, 52789, 52790, 52791,\n", - " 52792],\n", - " dtype='int64', length=126),\n", - " 12844: Int64Index([52793, 52794, 52795, 52796, 52797, 52798, 52799, 52800, 52801,\n", - " 52802,\n", - " ...\n", - " 52909, 52910, 52911, 52912, 52913, 52914, 52915, 52916, 52917,\n", - " 52918],\n", - " dtype='int64', length=126),\n", - " 12847: Int64Index([52919, 52920, 52921, 52922, 52923, 52924, 52925, 52926, 52927,\n", - " 52928,\n", - " ...\n", - " 53035, 53036, 53037, 53038, 53039, 53040, 53041, 53042, 53043,\n", - " 53044],\n", - " dtype='int64', length=126),\n", - " 12852: Int64Index([53045, 53046, 53047, 53048, 53049, 53050, 53051, 53052, 53053,\n", - " 53054,\n", - " ...\n", - " 53161, 53162, 53163, 53164, 53165, 53166, 53167, 53168, 53169,\n", - " 53170],\n", - " dtype='int64', length=126),\n", - " 12867: Int64Index([53171, 53172, 53173, 53174, 53175, 53176, 53177, 53178, 53179,\n", - " 53180,\n", - " ...\n", - " 53287, 53288, 53289, 53290, 53291, 53292, 53293, 53294, 53295,\n", - " 53296],\n", - " dtype='int64', length=126),\n", - " 12868: Int64Index([53297, 53298, 53299, 53300, 53301, 53302, 53303, 53304, 53305,\n", - " 53306,\n", - " ...\n", - " 53413, 53414, 53415, 53416, 53417, 53418, 53419, 53420, 53421,\n", - " 53422],\n", - " dtype='int64', length=126),\n", - " 12870: Int64Index([53423, 53424, 53425, 53426, 53427, 53428, 53429, 53430, 53431,\n", - " 53432,\n", - " ...\n", - " 53539, 53540, 53541, 53542, 53543, 53544, 53545, 53546, 53547,\n", - " 53548],\n", - " dtype='int64', length=126),\n", - " 12871: Int64Index([53549, 53550, 53551, 53552, 53553, 53554, 53555, 53556, 53557,\n", - " 53558,\n", - " ...\n", - " 53665, 53666, 53667, 53668, 53669, 53670, 53671, 53672, 53673,\n", - " 53674],\n", - " dtype='int64', length=126),\n", - " 12872: Int64Index([53675, 53676, 53677, 53678, 53679, 53680, 53681, 53682, 53683,\n", - " 53684,\n", - " ...\n", - " 53791, 53792, 53793, 53794, 53795, 53796, 53797, 53798, 53799,\n", - " 53800],\n", - " dtype='int64', length=126),\n", - " 12873: Int64Index([53801, 53802, 53803, 53804, 53805, 53806, 53807, 53808, 53809,\n", - " 53810,\n", - " ...\n", - " 53917, 53918, 53919, 53920, 53921, 53922, 53923, 53924, 53925,\n", - " 53926],\n", - " dtype='int64', length=126),\n", - " 12874: Int64Index([53927, 53928, 53929, 53930, 53931, 53932, 53933, 53934, 53935,\n", - " 53936,\n", - " ...\n", - " 54043, 54044, 54045, 54046, 54047, 54048, 54049, 54050, 54051,\n", - " 54052],\n", - " dtype='int64', length=126),\n", - " 12875: Int64Index([54053, 54054, 54055, 54056, 54057, 54058, 54059, 54060, 54061,\n", - " 54062,\n", - " ...\n", - " 54169, 54170, 54171, 54172, 54173, 54174, 54175, 54176, 54177,\n", - " 54178],\n", - " dtype='int64', length=126),\n", - " 12876: Int64Index([54179, 54180, 54181, 54182, 54183, 54184, 54185, 54186, 54187,\n", - " 54188,\n", - " ...\n", - " 54295, 54296, 54297, 54298, 54299, 54300, 54301, 54302, 54303,\n", - " 54304],\n", - " dtype='int64', length=126),\n", - " 12877: Int64Index([54305, 54306, 54307, 54308, 54309, 54310, 54311, 54312, 54313,\n", - " 54314,\n", - " ...\n", - " 54421, 54422, 54423, 54424, 54425, 54426, 54427, 54428, 54429,\n", - " 54430],\n", - " dtype='int64', length=126),\n", - " 12880: Int64Index([54431, 54432, 54433, 54434, 54435, 54436, 54437, 54438, 54439,\n", - " 54440,\n", - " ...\n", - " 54547, 54548, 54549, 54550, 54551, 54552, 54553, 54554, 54555,\n", - " 54556],\n", - " dtype='int64', length=126),\n", - " 12884: Int64Index([54557, 54558, 54559, 54560, 54561, 54562, 54563, 54564, 54565,\n", - " 54566, 54567, 54568, 54569, 54570, 54571, 54572, 54573, 54574,\n", - " 54575, 54576, 54577, 54578, 54579, 54580, 54581, 54582, 54583,\n", - " 54584, 54585, 54586, 54587, 54588, 54589, 54590, 54591, 54592,\n", - " 54593, 54594, 54595, 54596, 54597, 54598, 54599, 54600, 54601,\n", - " 54602, 54603, 54604, 54605, 54606, 54607, 54608, 54609, 54610,\n", - " 54611, 54612, 54613, 54614, 54615, 54616, 54617, 54618, 54619,\n", - " 54620, 54621],\n", - " dtype='int64'),\n", - " 12885: Int64Index([54622, 54623, 54624, 54625, 54626, 54627, 54628, 54629, 54630,\n", - " 54631,\n", - " ...\n", - " 54738, 54739, 54740, 54741, 54742, 54743, 54744, 54745, 54746,\n", - " 54747],\n", - " dtype='int64', length=126),\n", - " 12886: Int64Index([54748, 54749, 54750, 54751, 54752, 54753, 54754, 54755, 54756,\n", - " 54757,\n", - " ...\n", - " 54864, 54865, 54866, 54867, 54868, 54869, 54870, 54871, 54872,\n", - " 54873],\n", - " dtype='int64', length=126),\n", - " 12890: Int64Index([54874, 54875, 54876, 54877, 54878, 54879, 54880, 54881, 54882,\n", - " 54883,\n", - " ...\n", - " 54990, 54991, 54992, 54993, 54994, 54995, 54996, 54997, 54998,\n", - " 54999],\n", - " dtype='int64', length=126),\n", - " 12891: Int64Index([55000, 55001, 55002, 55003, 55004, 55005, 55006, 55007, 55008,\n", - " 55009,\n", - " ...\n", - " 55116, 55117, 55118, 55119, 55120, 55121, 55122, 55123, 55124,\n", - " 55125],\n", - " dtype='int64', length=126),\n", - " 12892: Int64Index([55126, 55127, 55128, 55129, 55130, 55131, 55132, 55133, 55134,\n", - " 55135,\n", - " ...\n", - " 55242, 55243, 55244, 55245, 55246, 55247, 55248, 55249, 55250,\n", - " 55251],\n", - " dtype='int64', length=126),\n", - " 12895: Int64Index([55252, 55253, 55254, 55255, 55256, 55257, 55258, 55259, 55260,\n", - " 55261,\n", - " ...\n", - " 55368, 55369, 55370, 55371, 55372, 55373, 55374, 55375, 55376,\n", - " 55377],\n", - " dtype='int64', length=126),\n", - " 12899: Int64Index([55378, 55379, 55380, 55381, 55382, 55383, 55384, 55385, 55386,\n", - " 55387,\n", - " ...\n", - " 55494, 55495, 55496, 55497, 55498, 55499, 55500, 55501, 55502,\n", - " 55503],\n", - " dtype='int64', length=126),\n", - " 12902: Int64Index([55504, 55505, 55506, 55507, 55508, 55509, 55510, 55511, 55512,\n", - " 55513,\n", - " ...\n", - " 55620, 55621, 55622, 55623, 55624, 55625, 55626, 55627, 55628,\n", - " 55629],\n", - " dtype='int64', length=126),\n", - " 12904: Int64Index([55630, 55631, 55632, 55633, 55634, 55635, 55636, 55637, 55638,\n", - " 55639,\n", - " ...\n", - " 55746, 55747, 55748, 55749, 55750, 55751, 55752, 55753, 55754,\n", - " 55755],\n", - " dtype='int64', length=126),\n", - " 12905: Int64Index([55756, 55757, 55758, 55759, 55760, 55761, 55762, 55763, 55764,\n", - " 55765,\n", - " ...\n", - " 55872, 55873, 55874, 55875, 55876, 55877, 55878, 55879, 55880,\n", - " 55881],\n", - " dtype='int64', length=126),\n", - " 12906: Int64Index([55882, 55883, 55884, 55885, 55886, 55887, 55888, 55889, 55890,\n", - " 55891,\n", - " ...\n", - " 55998, 55999, 56000, 56001, 56002, 56003, 56004, 56005, 56006,\n", - " 56007],\n", - " dtype='int64', length=126),\n", - " 12908: Int64Index([56008, 56009, 56010, 56011, 56012, 56013, 56014, 56015, 56016,\n", - " 56017,\n", - " ...\n", - " 56124, 56125, 56126, 56127, 56128, 56129, 56130, 56131, 56132,\n", - " 56133],\n", - " dtype='int64', length=126),\n", - " 12912: Int64Index([56134, 56135, 56136, 56137, 56138, 56139, 56140, 56141, 56142,\n", - " 56143,\n", - " ...\n", - " 56250, 56251, 56252, 56253, 56254, 56255, 56256, 56257, 56258,\n", - " 56259],\n", - " dtype='int64', length=126),\n", - " 12913: Int64Index([56260, 56261, 56262, 56263, 56264, 56265, 56266, 56267, 56268,\n", - " 56269,\n", - " ...\n", - " 56376, 56377, 56378, 56379, 56380, 56381, 56382, 56383, 56384,\n", - " 56385],\n", - " dtype='int64', length=126),\n", - " 12914: Int64Index([56386, 56387, 56388, 56389, 56390, 56391, 56392, 56393, 56394,\n", - " 56395,\n", - " ...\n", - " 56502, 56503, 56504, 56505, 56506, 56507, 56508, 56509, 56510,\n", - " 56511],\n", - " dtype='int64', length=126),\n", - " 12915: Int64Index([56512, 56513, 56514, 56515, 56516, 56517, 56518, 56519, 56520,\n", - " 56521,\n", - " ...\n", - " 56628, 56629, 56630, 56631, 56632, 56633, 56634, 56635, 56636,\n", - " 56637],\n", - " dtype='int64', length=126),\n", - " 12916: Int64Index([56638], dtype='int64'),\n", - " 12919: Int64Index([56639, 56640, 56641, 56642, 56643, 56644, 56645, 56646, 56647,\n", - " 56648,\n", - " ...\n", - " 56755, 56756, 56757, 56758, 56759, 56760, 56761, 56762, 56763,\n", - " 56764],\n", - " dtype='int64', length=126),\n", - " 12920: Int64Index([56765, 56766, 56767, 56768, 56769, 56770, 56771, 56772, 56773,\n", - " 56774,\n", - " ...\n", - " 56881, 56882, 56883, 56884, 56885, 56886, 56887, 56888, 56889,\n", - " 56890],\n", - " dtype='int64', length=126),\n", - " 12923: Int64Index([56891, 56892, 56893, 56894, 56895, 56896, 56897, 56898, 56899,\n", - " 56900,\n", - " ...\n", - " 57007, 57008, 57009, 57010, 57011, 57012, 57013, 57014, 57015,\n", - " 57016],\n", - " dtype='int64', length=126),\n", - " 12927: Int64Index([57017, 57018, 57019, 57020, 57021, 57022, 57023, 57024, 57025,\n", - " 57026,\n", - " ...\n", - " 57133, 57134, 57135, 57136, 57137, 57138, 57139, 57140, 57141,\n", - " 57142],\n", - " dtype='int64', length=126),\n", - " 12946: Int64Index([57143, 57144, 57145, 57146, 57147, 57148, 57149, 57150, 57151,\n", - " 57152,\n", - " ...\n", - " 57259, 57260, 57261, 57262, 57263, 57264, 57265, 57266, 57267,\n", - " 57268],\n", - " dtype='int64', length=126),\n", - " 12947: Int64Index([57269, 57270, 57271, 57272, 57273, 57274, 57275, 57276, 57277,\n", - " 57278,\n", - " ...\n", - " 57385, 57386, 57387, 57388, 57389, 57390, 57391, 57392, 57393,\n", - " 57394],\n", - " dtype='int64', length=126),\n", - " 12948: Int64Index([57395, 57396, 57397, 57398, 57399, 57400, 57401, 57402, 57403,\n", - " 57404,\n", - " ...\n", - " 57511, 57512, 57513, 57514, 57515, 57516, 57517, 57518, 57519,\n", - " 57520],\n", - " dtype='int64', length=126),\n", - " 12949: Int64Index([57521, 57522, 57523, 57524, 57525, 57526, 57527, 57528, 57529,\n", - " 57530,\n", - " ...\n", - " 57637, 57638, 57639, 57640, 57641, 57642, 57643, 57644, 57645,\n", - " 57646],\n", - " dtype='int64', length=126),\n", - " 12953: Int64Index([57647, 57648, 57649, 57650, 57651, 57652, 57653, 57654, 57655,\n", - " 57656,\n", - " ...\n", - " 57763, 57764, 57765, 57766, 57767, 57768, 57769, 57770, 57771,\n", - " 57772],\n", - " dtype='int64', length=126),\n", - " 12957: Int64Index([57773, 57774, 57775, 57776, 57777, 57778, 57779, 57780, 57781,\n", - " 57782,\n", - " ...\n", - " 57889, 57890, 57891, 57892, 57893, 57894, 57895, 57896, 57897,\n", - " 57898],\n", - " dtype='int64', length=126),\n", - " 12960: Int64Index([57899, 57900, 57901, 57902, 57903, 57904, 57905, 57906, 57907,\n", - " 57908,\n", - " ...\n", - " 58015, 58016, 58017, 58018, 58019, 58020, 58021, 58022, 58023,\n", - " 58024],\n", - " dtype='int64', length=126),\n", - " 12961: Int64Index([58025, 58026, 58027, 58028, 58029, 58030, 58031, 58032, 58033,\n", - " 58034,\n", - " ...\n", - " 58141, 58142, 58143, 58144, 58145, 58146, 58147, 58148, 58149,\n", - " 58150],\n", - " dtype='int64', length=126),\n", - " 12965: Int64Index([58151, 58152, 58153, 58154, 58155, 58156, 58157, 58158, 58159,\n", - " 58160, 58161, 58162, 58163, 58164, 58165, 58166, 58167, 58168,\n", - " 58169, 58170, 58171, 58172, 58173, 58174, 58175, 58176, 58177,\n", - " 58178, 58179, 58180, 58181, 58182, 58183, 58184, 58185, 58186,\n", - " 58187, 58188, 58189, 58190, 58191, 58192, 58193, 58194, 58195,\n", - " 58196, 58197, 58198],\n", - " dtype='int64'),\n", - " 12971: Int64Index([58199, 58200, 58201, 58202, 58203, 58204, 58205, 58206, 58207,\n", - " 58208,\n", - " ...\n", - " 58300, 58301, 58302, 58303, 58304, 58305, 58306, 58307, 58308,\n", - " 58309],\n", - " dtype='int64', length=111),\n", - " 12972: Int64Index([58310, 58311, 58312, 58313, 58314, 58315, 58316, 58317, 58318,\n", - " 58319,\n", - " ...\n", - " 58426, 58427, 58428, 58429, 58430, 58431, 58432, 58433, 58434,\n", - " 58435],\n", - " dtype='int64', length=126),\n", - " 12974: Int64Index([58436, 58437, 58438, 58439, 58440, 58441, 58442, 58443, 58444,\n", - " 58445,\n", - " ...\n", - " 58552, 58553, 58554, 58555, 58556, 58557, 58558, 58559, 58560,\n", - " 58561],\n", - " dtype='int64', length=126),\n", - " 12975: Int64Index([58562, 58563, 58564, 58565, 58566, 58567, 58568, 58569, 58570,\n", - " 58571,\n", - " ...\n", - " 58678, 58679, 58680, 58681, 58682, 58683, 58684, 58685, 58686,\n", - " 58687],\n", - " dtype='int64', length=126),\n", - " 12978: Int64Index([58688, 58689, 58690, 58691, 58692, 58693, 58694, 58695, 58696,\n", - " 58697,\n", - " ...\n", - " 58804, 58805, 58806, 58807, 58808, 58809, 58810, 58811, 58812,\n", - " 58813],\n", - " dtype='int64', length=126),\n", - " 12979: Int64Index([58814, 58815, 58816, 58817, 58818, 58819, 58820, 58821, 58822,\n", - " 58823,\n", - " ...\n", - " 58930, 58931, 58932, 58933, 58934, 58935, 58936, 58937, 58938,\n", - " 58939],\n", - " dtype='int64', length=126),\n", - " 12980: Int64Index([58940, 58941, 58942, 58943, 58944, 58945, 58946, 58947, 58948,\n", - " 58949,\n", - " ...\n", - " 59056, 59057, 59058, 59059, 59060, 59061, 59062, 59063, 59064,\n", - " 59065],\n", - " dtype='int64', length=126),\n", - " 12981: Int64Index([59066, 59067, 59068, 59069, 59070, 59071, 59072, 59073, 59074,\n", - " 59075,\n", - " ...\n", - " 59182, 59183, 59184, 59185, 59186, 59187, 59188, 59189, 59190,\n", - " 59191],\n", - " dtype='int64', length=126),\n", - " 12982: Int64Index([59192, 59193, 59194, 59195, 59196, 59197, 59198, 59199, 59200,\n", - " 59201,\n", - " ...\n", - " 59308, 59309, 59310, 59311, 59312, 59313, 59314, 59315, 59316,\n", - " 59317],\n", - " dtype='int64', length=126),\n", - " 12983: Int64Index([59318, 59319, 59320, 59321, 59322, 59323, 59324, 59325, 59326,\n", - " 59327,\n", - " ...\n", - " 59434, 59435, 59436, 59437, 59438, 59439, 59440, 59441, 59442,\n", - " 59443],\n", - " dtype='int64', length=126),\n", - " 12986: Int64Index([59444, 59445, 59446, 59447, 59448, 59449, 59450, 59451, 59452,\n", - " 59453,\n", - " ...\n", - " 59560, 59561, 59562, 59563, 59564, 59565, 59566, 59567, 59568,\n", - " 59569],\n", - " dtype='int64', length=126),\n", - " 12988: Int64Index([59570, 59571, 59572, 59573, 59574, 59575, 59576, 59577, 59578,\n", - " 59579,\n", - " ...\n", - " 59686, 59687, 59688, 59689, 59690, 59691, 59692, 59693, 59694,\n", - " 59695],\n", - " dtype='int64', length=126),\n", - " 12991: Int64Index([59696, 59697, 59698, 59699, 59700, 59701, 59702, 59703, 59704,\n", - " 59705,\n", - " ...\n", - " 59812, 59813, 59814, 59815, 59816, 59817, 59818, 59819, 59820,\n", - " 59821],\n", - " dtype='int64', length=126),\n", - " 12994: Int64Index([59822, 59823, 59824, 59825, 59826, 59827, 59828, 59829, 59830,\n", - " 59831,\n", - " ...\n", - " 59938, 59939, 59940, 59941, 59942, 59943, 59944, 59945, 59946,\n", - " 59947],\n", - " dtype='int64', length=126),\n", - " 12995: Int64Index([59948, 59949, 59950, 59951, 59952, 59953, 59954, 59955, 59956,\n", - " 59957,\n", - " ...\n", - " 60064, 60065, 60066, 60067, 60068, 60069, 60070, 60071, 60072,\n", - " 60073],\n", - " dtype='int64', length=126),\n", - " 12996: Int64Index([60074, 60075, 60076, 60077, 60078, 60079, 60080, 60081, 60082,\n", - " 60083,\n", - " ...\n", - " 60190, 60191, 60192, 60193, 60194, 60195, 60196, 60197, 60198,\n", - " 60199],\n", - " dtype='int64', length=126),\n", - " 12997: Int64Index([60200, 60201, 60202, 60203, 60204, 60205, 60206, 60207, 60208,\n", - " 60209,\n", - " ...\n", - " 60316, 60317, 60318, 60319, 60320, 60321, 60322, 60323, 60324,\n", - " 60325],\n", - " dtype='int64', length=126),\n", - " 12998: Int64Index([60326, 60327, 60328, 60329, 60330, 60331, 60332, 60333, 60334,\n", - " 60335,\n", - " ...\n", - " 60442, 60443, 60444, 60445, 60446, 60447, 60448, 60449, 60450,\n", - " 60451],\n", - " dtype='int64', length=126),\n", - " 12999: Int64Index([60452, 60453, 60454, 60455, 60456, 60457, 60458, 60459, 60460,\n", - " 60461,\n", - " ...\n", - " 60568, 60569, 60570, 60571, 60572, 60573, 60574, 60575, 60576,\n", - " 60577],\n", - " dtype='int64', length=126),\n", - " 13000: Int64Index([60578, 60579, 60580, 60581, 60582, 60583, 60584, 60585, 60586,\n", - " 60587,\n", - " ...\n", - " 60694, 60695, 60696, 60697, 60698, 60699, 60700, 60701, 60702,\n", - " 60703],\n", - " dtype='int64', length=126),\n", - " 13001: Int64Index([60704, 60705, 60706, 60707, 60708, 60709, 60710, 60711, 60712,\n", - " 60713,\n", - " ...\n", - " 60820, 60821, 60822, 60823, 60824, 60825, 60826, 60827, 60828,\n", - " 60829],\n", - " dtype='int64', length=126),\n", - " 13002: Int64Index([60830, 60831, 60832, 60833, 60834, 60835, 60836, 60837, 60838,\n", - " 60839,\n", - " ...\n", - " 60946, 60947, 60948, 60949, 60950, 60951, 60952, 60953, 60954,\n", - " 60955],\n", - " dtype='int64', length=126),\n", - " 13003: Int64Index([60956, 60957, 60958, 60959, 60960, 60961, 60962, 60963, 60964,\n", - " 60965,\n", - " ...\n", - " 61072, 61073, 61074, 61075, 61076, 61077, 61078, 61079, 61080,\n", - " 61081],\n", - " dtype='int64', length=126),\n", - " 13006: Int64Index([61082, 61083, 61084, 61085, 61086, 61087, 61088, 61089, 61090,\n", - " 61091,\n", - " ...\n", - " 61198, 61199, 61200, 61201, 61202, 61203, 61204, 61205, 61206,\n", - " 61207],\n", - " dtype='int64', length=126),\n", - " 13007: Int64Index([61208, 61209, 61210, 61211, 61212, 61213, 61214, 61215, 61216,\n", - " 61217,\n", - " ...\n", - " 61324, 61325, 61326, 61327, 61328, 61329, 61330, 61331, 61332,\n", - " 61333],\n", - " dtype='int64', length=126),\n", - " 13013: Int64Index([61334, 61335, 61336, 61337, 61338, 61339, 61340, 61341, 61342,\n", - " 61343,\n", - " ...\n", - " 61434, 61435, 61436, 61437, 61438, 61439, 61440, 61441, 61442,\n", - " 61443],\n", - " dtype='int64', length=110),\n", - " 13014: Int64Index([61444, 61445, 61446, 61447, 61448, 61449, 61450, 61451, 61452,\n", - " 61453,\n", - " ...\n", - " 61546, 61547, 61548, 61549, 61550, 61551, 61552, 61553, 61554,\n", - " 61555],\n", - " dtype='int64', length=112),\n", - " 13016: Int64Index([61556, 61557, 61558, 61559, 61560, 61561, 61562, 61563, 61564,\n", - " 61565,\n", - " ...\n", - " 61672, 61673, 61674, 61675, 61676, 61677, 61678, 61679, 61680,\n", - " 61681],\n", - " dtype='int64', length=126),\n", - " 13017: Int64Index([61682, 61683, 61684, 61685, 61686, 61687, 61688, 61689, 61690,\n", - " 61691,\n", - " ...\n", - " 61798, 61799, 61800, 61801, 61802, 61803, 61804, 61805, 61806,\n", - " 61807],\n", - " dtype='int64', length=126),\n", - " 13019: Int64Index([61808, 61809, 61810, 61811, 61812, 61813, 61814, 61815, 61816,\n", - " 61817,\n", - " ...\n", - " 61924, 61925, 61926, 61927, 61928, 61929, 61930, 61931, 61932,\n", - " 61933],\n", - " dtype='int64', length=126),\n", - " 13023: Int64Index([61934, 61935, 61936, 61937, 61938, 61939, 61940, 61941, 61942,\n", - " 61943,\n", - " ...\n", - " 62050, 62051, 62052, 62053, 62054, 62055, 62056, 62057, 62058,\n", - " 62059],\n", - " dtype='int64', length=126),\n", - " 13024: Int64Index([62060, 62061, 62062, 62063, 62064, 62065, 62066, 62067, 62068,\n", - " 62069,\n", - " ...\n", - " 62176, 62177, 62178, 62179, 62180, 62181, 62182, 62183, 62184,\n", - " 62185],\n", - " dtype='int64', length=126),\n", - " 13025: Int64Index([62186, 62187, 62188, 62189, 62190, 62191, 62192, 62193, 62194,\n", - " 62195,\n", - " ...\n", - " 62302, 62303, 62304, 62305, 62306, 62307, 62308, 62309, 62310,\n", - " 62311],\n", - " dtype='int64', length=126),\n", - " 13026: Int64Index([62312, 62313, 62314, 62315, 62316, 62317, 62318, 62319, 62320,\n", - " 62321,\n", - " ...\n", - " 62428, 62429, 62430, 62431, 62432, 62433, 62434, 62435, 62436,\n", - " 62437],\n", - " dtype='int64', length=126),\n", - " 13027: Int64Index([62438, 62439, 62440, 62441, 62442, 62443, 62444, 62445, 62446,\n", - " 62447,\n", - " ...\n", - " 62554, 62555, 62556, 62557, 62558, 62559, 62560, 62561, 62562,\n", - " 62563],\n", - " dtype='int64', length=126),\n", - " 13029: Int64Index([62564, 62565, 62566, 62567, 62568, 62569, 62570, 62571, 62572,\n", - " 62573,\n", - " ...\n", - " 62680, 62681, 62682, 62683, 62684, 62685, 62686, 62687, 62688,\n", - " 62689],\n", - " dtype='int64', length=126),\n", - " 13030: Int64Index([62690, 62691, 62692, 62693, 62694, 62695, 62696, 62697, 62698,\n", - " 62699,\n", - " ...\n", - " 62806, 62807, 62808, 62809, 62810, 62811, 62812, 62813, 62814,\n", - " 62815],\n", - " dtype='int64', length=126),\n", - " 13031: Int64Index([62816, 62817, 62818, 62819, 62820, 62821, 62822, 62823, 62824,\n", - " 62825,\n", - " ...\n", - " 62932, 62933, 62934, 62935, 62936, 62937, 62938, 62939, 62940,\n", - " 62941],\n", - " dtype='int64', length=126),\n", - " 13032: Int64Index([62942, 62943, 62944, 62945, 62946, 62947, 62948, 62949, 62950,\n", - " 62951,\n", - " ...\n", - " 63058, 63059, 63060, 63061, 63062, 63063, 63064, 63065, 63066,\n", - " 63067],\n", - " dtype='int64', length=126),\n", - " 13033: Int64Index([63068, 63069, 63070, 63071, 63072, 63073, 63074, 63075, 63076,\n", - " 63077,\n", - " ...\n", - " 63184, 63185, 63186, 63187, 63188, 63189, 63190, 63191, 63192,\n", - " 63193],\n", - " dtype='int64', length=126),\n", - " 13034: Int64Index([63194, 63195, 63196, 63197, 63198, 63199, 63200, 63201, 63202,\n", - " 63203,\n", - " ...\n", - " 63310, 63311, 63312, 63313, 63314, 63315, 63316, 63317, 63318,\n", - " 63319],\n", - " dtype='int64', length=126),\n", - " 13035: Int64Index([63320, 63321, 63322, 63323, 63324, 63325, 63326, 63327, 63328,\n", - " 63329,\n", - " ...\n", - " 63436, 63437, 63438, 63439, 63440, 63441, 63442, 63443, 63444,\n", - " 63445],\n", - " dtype='int64', length=126),\n", - " 13037: Int64Index([63446, 63447, 63448, 63449, 63450, 63451, 63452, 63453, 63454,\n", - " 63455,\n", - " ...\n", - " 63562, 63563, 63564, 63565, 63566, 63567, 63568, 63569, 63570,\n", - " 63571],\n", - " dtype='int64', length=126),\n", - " 13046: Int64Index([63572, 63573, 63574, 63575, 63576, 63577, 63578, 63579, 63580,\n", - " 63581,\n", - " ...\n", - " 63688, 63689, 63690, 63691, 63692, 63693, 63694, 63695, 63696,\n", - " 63697],\n", - " dtype='int64', length=126),\n", - " 13076: Int64Index([63698, 63699, 63700, 63701, 63702, 63703, 63704, 63705, 63706,\n", - " 63707,\n", - " ...\n", - " 63814, 63815, 63816, 63817, 63818, 63819, 63820, 63821, 63822,\n", - " 63823],\n", - " dtype='int64', length=126),\n", - " 13077: Int64Index([63824, 63825, 63826, 63827, 63828, 63829, 63830, 63831, 63832,\n", - " 63833,\n", - " ...\n", - " 63940, 63941, 63942, 63943, 63944, 63945, 63946, 63947, 63948,\n", - " 63949],\n", - " dtype='int64', length=126),\n", - " 13079: Int64Index([63950, 63951, 63952, 63953, 63954, 63955, 63956, 63957, 63958,\n", - " 63959,\n", - " ...\n", - " 64066, 64067, 64068, 64069, 64070, 64071, 64072, 64073, 64074,\n", - " 64075],\n", - " dtype='int64', length=126),\n", - " 13080: Int64Index([64076, 64077, 64078, 64079, 64080, 64081, 64082, 64083, 64084,\n", - " 64085,\n", - " ...\n", - " 64192, 64193, 64194, 64195, 64196, 64197, 64198, 64199, 64200,\n", - " 64201],\n", - " dtype='int64', length=126),\n", - " 13082: Int64Index([64202, 64203, 64204, 64205, 64206, 64207, 64208, 64209, 64210,\n", - " 64211,\n", - " ...\n", - " 64318, 64319, 64320, 64321, 64322, 64323, 64324, 64325, 64326,\n", - " 64327],\n", - " dtype='int64', length=126),\n", - " 13084: Int64Index([64328, 64329, 64330, 64331, 64332, 64333, 64334, 64335, 64336,\n", - " 64337,\n", - " ...\n", - " 64444, 64445, 64446, 64447, 64448, 64449, 64450, 64451, 64452,\n", - " 64453],\n", - " dtype='int64', length=126),\n", - " 13085: Int64Index([64454, 64455, 64456, 64457, 64458, 64459, 64460, 64461, 64462,\n", - " 64463,\n", - " ...\n", - " 64570, 64571, 64572, 64573, 64574, 64575, 64576, 64577, 64578,\n", - " 64579],\n", - " dtype='int64', length=126),\n", - " 13089: Int64Index([64580, 64581, 64582, 64583, 64584, 64585, 64586, 64587, 64588,\n", - " 64589,\n", - " ...\n", - " 64696, 64697, 64698, 64699, 64700, 64701, 64702, 64703, 64704,\n", - " 64705],\n", - " dtype='int64', length=126),\n", - " 13092: Int64Index([64706, 64707, 64708, 64709, 64710, 64711, 64712, 64713, 64714,\n", - " 64715,\n", - " ...\n", - " 64822, 64823, 64824, 64825, 64826, 64827, 64828, 64829, 64830,\n", - " 64831],\n", - " dtype='int64', length=126),\n", - " 13097: Int64Index([64832, 64833, 64834, 64835, 64836, 64837, 64838, 64839, 64840,\n", - " 64841,\n", - " ...\n", - " 64948, 64949, 64950, 64951, 64952, 64953, 64954, 64955, 64956,\n", - " 64957],\n", - " dtype='int64', length=126),\n", - " 13102: Int64Index([64958, 64959, 64960, 64961, 64962, 64963, 64964, 64965, 64966,\n", - " 64967,\n", - " ...\n", - " 65074, 65075, 65076, 65077, 65078, 65079, 65080, 65081, 65082,\n", - " 65083],\n", - " dtype='int64', length=126),\n", - " 13103: Int64Index([65084, 65085, 65086, 65087, 65088, 65089, 65090, 65091, 65092,\n", - " 65093,\n", - " ...\n", - " 65200, 65201, 65202, 65203, 65204, 65205, 65206, 65207, 65208,\n", - " 65209],\n", - " dtype='int64', length=126),\n", - " 13105: Int64Index([65210, 65211, 65212, 65213, 65214, 65215, 65216, 65217, 65218,\n", - " 65219,\n", - " ...\n", - " 65326, 65327, 65328, 65329, 65330, 65331, 65332, 65333, 65334,\n", - " 65335],\n", - " dtype='int64', length=126),\n", - " 13107: Int64Index([65336, 65337, 65338, 65339, 65340, 65341, 65342, 65343, 65344,\n", - " 65345,\n", - " ...\n", - " 65452, 65453, 65454, 65455, 65456, 65457, 65458, 65459, 65460,\n", - " 65461],\n", - " dtype='int64', length=126),\n", - " 13108: Int64Index([65462, 65463, 65464, 65465, 65466, 65467, 65468, 65469, 65470,\n", - " 65471,\n", - " ...\n", - " 65578, 65579, 65580, 65581, 65582, 65583, 65584, 65585, 65586,\n", - " 65587],\n", - " dtype='int64', length=126),\n", - " 13109: Int64Index([65588, 65589, 65590, 65591, 65592, 65593, 65594, 65595, 65596,\n", - " 65597,\n", - " ...\n", - " 65704, 65705, 65706, 65707, 65708, 65709, 65710, 65711, 65712,\n", - " 65713],\n", - " dtype='int64', length=126),\n", - " 13111: Int64Index([65714, 65715, 65716, 65717, 65718, 65719, 65720, 65721, 65722,\n", - " 65723,\n", - " ...\n", - " 65830, 65831, 65832, 65833, 65834, 65835, 65836, 65837, 65838,\n", - " 65839],\n", - " dtype='int64', length=126),\n", - " 13113: Int64Index([65840, 65841, 65842, 65843, 65844, 65845, 65846, 65847, 65848,\n", - " 65849,\n", - " ...\n", - " 65956, 65957, 65958, 65959, 65960, 65961, 65962, 65963, 65964,\n", - " 65965],\n", - " dtype='int64', length=126),\n", - " 13114: Int64Index([65966, 65967, 65968, 65969, 65970, 65971, 65972, 65973, 65974,\n", - " 65975,\n", - " ...\n", - " 66082, 66083, 66084, 66085, 66086, 66087, 66088, 66089, 66090,\n", - " 66091],\n", - " dtype='int64', length=126),\n", - " 13116: Int64Index([66092, 66093, 66094, 66095, 66096, 66097, 66098, 66099, 66100,\n", - " 66101,\n", - " ...\n", - " 66208, 66209, 66210, 66211, 66212, 66213, 66214, 66215, 66216,\n", - " 66217],\n", - " dtype='int64', length=126),\n", - " 13117: Int64Index([66218, 66219, 66220, 66221, 66222, 66223, 66224, 66225, 66226,\n", - " 66227,\n", - " ...\n", - " 66334, 66335, 66336, 66337, 66338, 66339, 66340, 66341, 66342,\n", - " 66343],\n", - " dtype='int64', length=126),\n", - " 13121: Int64Index([66344, 66345, 66346, 66347, 66348, 66349, 66350, 66351, 66352,\n", - " 66353,\n", - " ...\n", - " 66460, 66461, 66462, 66463, 66464, 66465, 66466, 66467, 66468,\n", - " 66469],\n", - " dtype='int64', length=126),\n", - " 13122: Int64Index([66470, 66471, 66472, 66473, 66474, 66475, 66476, 66477, 66478,\n", - " 66479,\n", - " ...\n", - " 66586, 66587, 66588, 66589, 66590, 66591, 66592, 66593, 66594,\n", - " 66595],\n", - " dtype='int64', length=126),\n", - " 13124: Int64Index([66596, 66597, 66598, 66599, 66600, 66601, 66602, 66603, 66604,\n", - " 66605,\n", - " ...\n", - " 66712, 66713, 66714, 66715, 66716, 66717, 66718, 66719, 66720,\n", - " 66721],\n", - " dtype='int64', length=126),\n", - " 13126: Int64Index([66722, 66723, 66724, 66725, 66726, 66727, 66728, 66729, 66730,\n", - " 66731,\n", - " ...\n", - " 66838, 66839, 66840, 66841, 66842, 66843, 66844, 66845, 66846,\n", - " 66847],\n", - " dtype='int64', length=126),\n", - " 13129: Int64Index([66848, 66849, 66850, 66851, 66852, 66853, 66854, 66855, 66856,\n", - " 66857,\n", - " ...\n", - " 66964, 66965, 66966, 66967, 66968, 66969, 66970, 66971, 66972,\n", - " 66973],\n", - " dtype='int64', length=126),\n", - " 13130: Int64Index([66974, 66975, 66976, 66977, 66978, 66979, 66980, 66981, 66982,\n", - " 66983,\n", - " ...\n", - " 67090, 67091, 67092, 67093, 67094, 67095, 67096, 67097, 67098,\n", - " 67099],\n", - " dtype='int64', length=126),\n", - " 13131: Int64Index([67100, 67101, 67102, 67103, 67104, 67105, 67106, 67107, 67108,\n", - " 67109,\n", - " ...\n", - " 67216, 67217, 67218, 67219, 67220, 67221, 67222, 67223, 67224,\n", - " 67225],\n", - " dtype='int64', length=126),\n", - " 13132: Int64Index([67226, 67227, 67228, 67229, 67230, 67231, 67232, 67233, 67234,\n", - " 67235,\n", - " ...\n", - " 67342, 67343, 67344, 67345, 67346, 67347, 67348, 67349, 67350,\n", - " 67351],\n", - " dtype='int64', length=126),\n", - " 13137: Int64Index([67352, 67353, 67354, 67355, 67356, 67357, 67358, 67359, 67360,\n", - " 67361,\n", - " ...\n", - " 67468, 67469, 67470, 67471, 67472, 67473, 67474, 67475, 67476,\n", - " 67477],\n", - " dtype='int64', length=126),\n", - " 13138: Int64Index([67478, 67479, 67480, 67481, 67482, 67483, 67484, 67485, 67486,\n", - " 67487,\n", - " ...\n", - " 67594, 67595, 67596, 67597, 67598, 67599, 67600, 67601, 67602,\n", - " 67603],\n", - " dtype='int64', length=126),\n", - " 13139: Int64Index([67604, 67605, 67606, 67607, 67608, 67609, 67610, 67611, 67612,\n", - " 67613,\n", - " ...\n", - " 67720, 67721, 67722, 67723, 67724, 67725, 67726, 67727, 67728,\n", - " 67729],\n", - " dtype='int64', length=126),\n", - " 13141: Int64Index([67730, 67731, 67732, 67733, 67734, 67735, 67736, 67737, 67738,\n", - " 67739,\n", - " ...\n", - " 67846, 67847, 67848, 67849, 67850, 67851, 67852, 67853, 67854,\n", - " 67855],\n", - " dtype='int64', length=126),\n", - " 13142: Int64Index([67856, 67857, 67858, 67859, 67860, 67861, 67862, 67863, 67864,\n", - " 67865,\n", - " ...\n", - " 67972, 67973, 67974, 67975, 67976, 67977, 67978, 67979, 67980,\n", - " 67981],\n", - " dtype='int64', length=126),\n", - " 13145: Int64Index([67982, 67983, 67984, 67985, 67986, 67987, 67988, 67989, 67990,\n", - " 67991,\n", - " ...\n", - " 68098, 68099, 68100, 68101, 68102, 68103, 68104, 68105, 68106,\n", - " 68107],\n", - " dtype='int64', length=126),\n", - " 13159: Int64Index([68108, 68109, 68110, 68111, 68112, 68113, 68114, 68115, 68116,\n", - " 68117,\n", - " ...\n", - " 68224, 68225, 68226, 68227, 68228, 68229, 68230, 68231, 68232,\n", - " 68233],\n", - " dtype='int64', length=126),\n", - " 13162: Int64Index([68234, 68235, 68236, 68237, 68238, 68239, 68240, 68241, 68242,\n", - " 68243,\n", - " ...\n", - " 68350, 68351, 68352, 68353, 68354, 68355, 68356, 68357, 68358,\n", - " 68359],\n", - " dtype='int64', length=126),\n", - " 13167: Int64Index([68360, 68361, 68362, 68363, 68364, 68365, 68366, 68367, 68368,\n", - " 68369,\n", - " ...\n", - " 68476, 68477, 68478, 68479, 68480, 68481, 68482, 68483, 68484,\n", - " 68485],\n", - " dtype='int64', length=126),\n", - " 13168: Int64Index([68486, 68487, 68488, 68489, 68490, 68491, 68492, 68493, 68494,\n", - " 68495,\n", - " ...\n", - " 68602, 68603, 68604, 68605, 68606, 68607, 68608, 68609, 68610,\n", - " 68611],\n", - " dtype='int64', length=126),\n", - " 13169: Int64Index([68612, 68613, 68614, 68615, 68616, 68617, 68618, 68619, 68620,\n", - " 68621,\n", - " ...\n", - " 68728, 68729, 68730, 68731, 68732, 68733, 68734, 68735, 68736,\n", - " 68737],\n", - " dtype='int64', length=126),\n", - " 13176: Int64Index([68738, 68739, 68740, 68741, 68742, 68743, 68744, 68745, 68746,\n", - " 68747,\n", - " ...\n", - " 68854, 68855, 68856, 68857, 68858, 68859, 68860, 68861, 68862,\n", - " 68863],\n", - " dtype='int64', length=126),\n", - " 13180: Int64Index([68864, 68865, 68866, 68867, 68868, 68869, 68870, 68871, 68872,\n", - " 68873,\n", - " ...\n", - " 68980, 68981, 68982, 68983, 68984, 68985, 68986, 68987, 68988,\n", - " 68989],\n", - " dtype='int64', length=126),\n", - " 13181: Int64Index([68990, 68991, 68992, 68993, 68994, 68995, 68996, 68997, 68998,\n", - " 68999,\n", - " ...\n", - " 69106, 69107, 69108, 69109, 69110, 69111, 69112, 69113, 69114,\n", - " 69115],\n", - " dtype='int64', length=126),\n", - " 13182: Int64Index([69116, 69117, 69118, 69119, 69120, 69121, 69122, 69123, 69124,\n", - " 69125,\n", - " ...\n", - " 69232, 69233, 69234, 69235, 69236, 69237, 69238, 69239, 69240,\n", - " 69241],\n", - " dtype='int64', length=126),\n", - " 13185: Int64Index([69242, 69243, 69244, 69245, 69246, 69247, 69248, 69249, 69250,\n", - " 69251,\n", - " ...\n", - " 69358, 69359, 69360, 69361, 69362, 69363, 69364, 69365, 69366,\n", - " 69367],\n", - " dtype='int64', length=126),\n", - " 13188: Int64Index([69368, 69369, 69370, 69371, 69372, 69373, 69374, 69375, 69376,\n", - " 69377,\n", - " ...\n", - " 69484, 69485, 69486, 69487, 69488, 69489, 69490, 69491, 69492,\n", - " 69493],\n", - " dtype='int64', length=126),\n", - " 13189: Int64Index([69494, 69495, 69496, 69497, 69498, 69499, 69500, 69501, 69502,\n", - " 69503,\n", - " ...\n", - " 69610, 69611, 69612, 69613, 69614, 69615, 69616, 69617, 69618,\n", - " 69619],\n", - " dtype='int64', length=126),\n", - " 13190: Int64Index([69620, 69621, 69622, 69623, 69624, 69625, 69626, 69627, 69628,\n", - " 69629,\n", - " ...\n", - " 69736, 69737, 69738, 69739, 69740, 69741, 69742, 69743, 69744,\n", - " 69745],\n", - " dtype='int64', length=126),\n", - " 13191: Int64Index([69746, 69747, 69748, 69749, 69750, 69751, 69752, 69753, 69754,\n", - " 69755,\n", - " ...\n", - " 69862, 69863, 69864, 69865, 69866, 69867, 69868, 69869, 69870,\n", - " 69871],\n", - " dtype='int64', length=126),\n", - " 13193: Int64Index([69872, 69873, 69874, 69875, 69876, 69877, 69878, 69879, 69880,\n", - " 69881,\n", - " ...\n", - " 69988, 69989, 69990, 69991, 69992, 69993, 69994, 69995, 69996,\n", - " 69997],\n", - " dtype='int64', length=126),\n", - " 13196: Int64Index([69998, 69999, 70000, 70001, 70002, 70003, 70004, 70005, 70006,\n", - " 70007,\n", - " ...\n", - " 70114, 70115, 70116, 70117, 70118, 70119, 70120, 70121, 70122,\n", - " 70123],\n", - " dtype='int64', length=126),\n", - " 13198: Int64Index([70124, 70125, 70126, 70127, 70128, 70129, 70130, 70131, 70132,\n", - " 70133,\n", - " ...\n", - " 70240, 70241, 70242, 70243, 70244, 70245, 70246, 70247, 70248,\n", - " 70249],\n", - " dtype='int64', length=126),\n", - " 13201: Int64Index([70250, 70251, 70252, 70253, 70254, 70255, 70256, 70257, 70258,\n", - " 70259,\n", - " ...\n", - " 70366, 70367, 70368, 70369, 70370, 70371, 70372, 70373, 70374,\n", - " 70375],\n", - " dtype='int64', length=126),\n", - " 13202: Int64Index([70376, 70377, 70378, 70379, 70380, 70381, 70382, 70383, 70384,\n", - " 70385,\n", - " ...\n", - " 70492, 70493, 70494, 70495, 70496, 70497, 70498, 70499, 70500,\n", - " 70501],\n", - " dtype='int64', length=126),\n", - " 13203: Int64Index([70502, 70503, 70504, 70505, 70506, 70507, 70508, 70509, 70510,\n", - " 70511,\n", - " ...\n", - " 70618, 70619, 70620, 70621, 70622, 70623, 70624, 70625, 70626,\n", - " 70627],\n", - " dtype='int64', length=126),\n", - " 13206: Int64Index([70628, 70629, 70630, 70631, 70632, 70633, 70634, 70635, 70636,\n", - " 70637,\n", - " ...\n", - " 70744, 70745, 70746, 70747, 70748, 70749, 70750, 70751, 70752,\n", - " 70753],\n", - " dtype='int64', length=126),\n", - " 13209: Int64Index([70754, 70755, 70756, 70757, 70758, 70759, 70760, 70761, 70762,\n", - " 70763,\n", - " ...\n", - " 70870, 70871, 70872, 70873, 70874, 70875, 70876, 70877, 70878,\n", - " 70879],\n", - " dtype='int64', length=126),\n", - " 13210: Int64Index([70880, 70881, 70882, 70883, 70884, 70885, 70886, 70887, 70888,\n", - " 70889,\n", - " ...\n", - " 70996, 70997, 70998, 70999, 71000, 71001, 71002, 71003, 71004,\n", - " 71005],\n", - " dtype='int64', length=126),\n", - " 13211: Int64Index([71006, 71007, 71008, 71009, 71010, 71011, 71012, 71013, 71014,\n", - " 71015,\n", - " ...\n", - " 71122, 71123, 71124, 71125, 71126, 71127, 71128, 71129, 71130,\n", - " 71131],\n", - " dtype='int64', length=126),\n", - " 13212: Int64Index([71132, 71133, 71134, 71135, 71136, 71137, 71138, 71139, 71140,\n", - " 71141,\n", - " ...\n", - " 71248, 71249, 71250, 71251, 71252, 71253, 71254, 71255, 71256,\n", - " 71257],\n", - " dtype='int64', length=126),\n", - " 13213: Int64Index([71258, 71259, 71260, 71261, 71262, 71263, 71264, 71265, 71266,\n", - " 71267,\n", - " ...\n", - " 71374, 71375, 71376, 71377, 71378, 71379, 71380, 71381, 71382,\n", - " 71383],\n", - " dtype='int64', length=126),\n", - " 13214: Int64Index([71384, 71385, 71386, 71387, 71388, 71389, 71390, 71391, 71392,\n", - " 71393,\n", - " ...\n", - " 71500, 71501, 71502, 71503, 71504, 71505, 71506, 71507, 71508,\n", - " 71509],\n", - " dtype='int64', length=126),\n", - " 13217: Int64Index([71510, 71511, 71512, 71513, 71514, 71515, 71516, 71517, 71518,\n", - " 71519,\n", - " ...\n", - " 71626, 71627, 71628, 71629, 71630, 71631, 71632, 71633, 71634,\n", - " 71635],\n", - " dtype='int64', length=126),\n", - " 13218: Int64Index([71636, 71637, 71638, 71639, 71640, 71641, 71642, 71643, 71644,\n", - " 71645,\n", - " ...\n", - " 71752, 71753, 71754, 71755, 71756, 71757, 71758, 71759, 71760,\n", - " 71761],\n", - " dtype='int64', length=126),\n", - " 13219: Int64Index([71762, 71763, 71764, 71765, 71766, 71767, 71768, 71769, 71770,\n", - " 71771,\n", - " ...\n", - " 71878, 71879, 71880, 71881, 71882, 71883, 71884, 71885, 71886,\n", - " 71887],\n", - " dtype='int64', length=126),\n", - " 13220: Int64Index([71888, 71889, 71890, 71891, 71892, 71893, 71894, 71895, 71896,\n", - " 71897,\n", - " ...\n", - " 72004, 72005, 72006, 72007, 72008, 72009, 72010, 72011, 72012,\n", - " 72013],\n", - " dtype='int64', length=126),\n", - " 13221: Int64Index([72014, 72015, 72016, 72017, 72018, 72019, 72020, 72021, 72022,\n", - " 72023,\n", - " ...\n", - " 72130, 72131, 72132, 72133, 72134, 72135, 72136, 72137, 72138,\n", - " 72139],\n", - " dtype='int64', length=126),\n", - " 13228: Int64Index([72140, 72141, 72142, 72143, 72144, 72145, 72146, 72147, 72148,\n", - " 72149,\n", - " ...\n", - " 72256, 72257, 72258, 72259, 72260, 72261, 72262, 72263, 72264,\n", - " 72265],\n", - " dtype='int64', length=126),\n", - " 13229: Int64Index([72266, 72267, 72268, 72269, 72270, 72271, 72272, 72273, 72274,\n", - " 72275,\n", - " ...\n", - " 72382, 72383, 72384, 72385, 72386, 72387, 72388, 72389, 72390,\n", - " 72391],\n", - " dtype='int64', length=126),\n", - " 13230: Int64Index([72392, 72393, 72394, 72395, 72396, 72397, 72398, 72399, 72400,\n", - " 72401,\n", - " ...\n", - " 72508, 72509, 72510, 72511, 72512, 72513, 72514, 72515, 72516,\n", - " 72517],\n", - " dtype='int64', length=126),\n", - " 13233: Int64Index([72518, 72519, 72520, 72521, 72522, 72523, 72524, 72525, 72526,\n", - " 72527,\n", - " ...\n", - " 72634, 72635, 72636, 72637, 72638, 72639, 72640, 72641, 72642,\n", - " 72643],\n", - " dtype='int64', length=126),\n", - " 13234: Int64Index([72644, 72645, 72646, 72647, 72648, 72649, 72650, 72651, 72652,\n", - " 72653,\n", - " ...\n", - " 72760, 72761, 72762, 72763, 72764, 72765, 72766, 72767, 72768,\n", - " 72769],\n", - " dtype='int64', length=126),\n", - " 13235: Int64Index([72770, 72771, 72772, 72773, 72774, 72775, 72776, 72777, 72778,\n", - " 72779,\n", - " ...\n", - " 72886, 72887, 72888, 72889, 72890, 72891, 72892, 72893, 72894,\n", - " 72895],\n", - " dtype='int64', length=126),\n", - " 13236: Int64Index([72896, 72897, 72898, 72899, 72900, 72901, 72902, 72903, 72904,\n", - " 72905,\n", - " ...\n", - " 73012, 73013, 73014, 73015, 73016, 73017, 73018, 73019, 73020,\n", - " 73021],\n", - " dtype='int64', length=126),\n", - " 13240: Int64Index([73022, 73023, 73024, 73025, 73026, 73027, 73028, 73029, 73030,\n", - " 73031,\n", - " ...\n", - " 73138, 73139, 73140, 73141, 73142, 73143, 73144, 73145, 73146,\n", - " 73147],\n", - " dtype='int64', length=126),\n", - " 13241: Int64Index([73148, 73149, 73150, 73151, 73152, 73153, 73154, 73155, 73156,\n", - " 73157,\n", - " ...\n", - " 73264, 73265, 73266, 73267, 73268, 73269, 73270, 73271, 73272,\n", - " 73273],\n", - " dtype='int64', length=126),\n", - " 13242: Int64Index([73274, 73275, 73276, 73277, 73278, 73279, 73280, 73281, 73282,\n", - " 73283,\n", - " ...\n", - " 73390, 73391, 73392, 73393, 73394, 73395, 73396, 73397, 73398,\n", - " 73399],\n", - " dtype='int64', length=126),\n", - " 13243: Int64Index([73400, 73401, 73402, 73403, 73404, 73405, 73406, 73407, 73408,\n", - " 73409,\n", - " ...\n", - " 73516, 73517, 73518, 73519, 73520, 73521, 73522, 73523, 73524,\n", - " 73525],\n", - " dtype='int64', length=126),\n", - " 13244: Int64Index([73526, 73527, 73528, 73529, 73530, 73531, 73532, 73533, 73534,\n", - " 73535,\n", - " ...\n", - " 73642, 73643, 73644, 73645, 73646, 73647, 73648, 73649, 73650,\n", - " 73651],\n", - " dtype='int64', length=126),\n", - " 13245: Int64Index([73652, 73653, 73654, 73655, 73656, 73657, 73658, 73659, 73660,\n", - " 73661,\n", - " ...\n", - " 73768, 73769, 73770, 73771, 73772, 73773, 73774, 73775, 73776,\n", - " 73777],\n", - " dtype='int64', length=126),\n", - " 13246: Int64Index([73778, 73779, 73780, 73781, 73782, 73783, 73784, 73785, 73786,\n", - " 73787,\n", - " ...\n", - " 73894, 73895, 73896, 73897, 73898, 73899, 73900, 73901, 73902,\n", - " 73903],\n", - " dtype='int64', length=126),\n", - " 13249: Int64Index([73904, 73905, 73906, 73907, 73908, 73909, 73910, 73911, 73912,\n", - " 73913,\n", - " ...\n", - " 74020, 74021, 74022, 74023, 74024, 74025, 74026, 74027, 74028,\n", - " 74029],\n", - " dtype='int64', length=126),\n", - " 13252: Int64Index([74030, 74031, 74032, 74033, 74034, 74035, 74036, 74037, 74038,\n", - " 74039,\n", - " ...\n", - " 74146, 74147, 74148, 74149, 74150, 74151, 74152, 74153, 74154,\n", - " 74155],\n", - " dtype='int64', length=126),\n", - " 13253: Int64Index([74156, 74157, 74158, 74159, 74160, 74161, 74162, 74163, 74164,\n", - " 74165,\n", - " ...\n", - " 74272, 74273, 74274, 74275, 74276, 74277, 74278, 74279, 74280,\n", - " 74281],\n", - " dtype='int64', length=126),\n", - " 13254: Int64Index([74282, 74283, 74284, 74285, 74286, 74287, 74288, 74289, 74290,\n", - " 74291,\n", - " ...\n", - " 74398, 74399, 74400, 74401, 74402, 74403, 74404, 74405, 74406,\n", - " 74407],\n", - " dtype='int64', length=126),\n", - " 13260: Int64Index([74408, 74409, 74410, 74411, 74412, 74413, 74414, 74415, 74416,\n", - " 74417,\n", - " ...\n", - " 74524, 74525, 74526, 74527, 74528, 74529, 74530, 74531, 74532,\n", - " 74533],\n", - " dtype='int64', length=126),\n", - " 13262: Int64Index([74534, 74535, 74536, 74537, 74538, 74539, 74540, 74541, 74542,\n", - " 74543,\n", - " ...\n", - " 74650, 74651, 74652, 74653, 74654, 74655, 74656, 74657, 74658,\n", - " 74659],\n", - " dtype='int64', length=126),\n", - " 13263: Int64Index([74660, 74661, 74662, 74663, 74664, 74665, 74666, 74667, 74668,\n", - " 74669,\n", - " ...\n", - " 74776, 74777, 74778, 74779, 74780, 74781, 74782, 74783, 74784,\n", - " 74785],\n", - " dtype='int64', length=126),\n", - " 13265: Int64Index([74786, 74787, 74788, 74789, 74790, 74791, 74792, 74793, 74794,\n", - " 74795,\n", - " ...\n", - " 74902, 74903, 74904, 74905, 74906, 74907, 74908, 74909, 74910,\n", - " 74911],\n", - " dtype='int64', length=126),\n", - " 13267: Int64Index([74912, 74913, 74914, 74915, 74916, 74917, 74918, 74919, 74920,\n", - " 74921,\n", - " ...\n", - " 75028, 75029, 75030, 75031, 75032, 75033, 75034, 75035, 75036,\n", - " 75037],\n", - " dtype='int64', length=126),\n", - " 13268: Int64Index([75038, 75039, 75040, 75041, 75042, 75043, 75044, 75045, 75046,\n", - " 75047,\n", - " ...\n", - " 75154, 75155, 75156, 75157, 75158, 75159, 75160, 75161, 75162,\n", - " 75163],\n", - " dtype='int64', length=126),\n", - " 13273: Int64Index([75164, 75165, 75166, 75167, 75168, 75169, 75170, 75171, 75172,\n", - " 75173,\n", - " ...\n", - " 75280, 75281, 75282, 75283, 75284, 75285, 75286, 75287, 75288,\n", - " 75289],\n", - " dtype='int64', length=126),\n", - " 13278: Int64Index([75290, 75291, 75292, 75293, 75294, 75295, 75296, 75297, 75298,\n", - " 75299,\n", - " ...\n", - " 75406, 75407, 75408, 75409, 75410, 75411, 75412, 75413, 75414,\n", - " 75415],\n", - " dtype='int64', length=126),\n", - " 13279: Int64Index([75416, 75417, 75418, 75419, 75420, 75421, 75422, 75423, 75424,\n", - " 75425,\n", - " ...\n", - " 75532, 75533, 75534, 75535, 75536, 75537, 75538, 75539, 75540,\n", - " 75541],\n", - " dtype='int64', length=126),\n", - " 13280: Int64Index([75542, 75543, 75544, 75545, 75546, 75547, 75548, 75549, 75550,\n", - " 75551,\n", - " ...\n", - " 75658, 75659, 75660, 75661, 75662, 75663, 75664, 75665, 75666,\n", - " 75667],\n", - " dtype='int64', length=126),\n", - " 13284: Int64Index([75668, 75669, 75670, 75671, 75672, 75673, 75674, 75675, 75676,\n", - " 75677,\n", - " ...\n", - " 75784, 75785, 75786, 75787, 75788, 75789, 75790, 75791, 75792,\n", - " 75793],\n", - " dtype='int64', length=126),\n", - " 13286: Int64Index([75794, 75795, 75796, 75797, 75798, 75799, 75800, 75801, 75802,\n", - " 75803,\n", - " ...\n", - " 75910, 75911, 75912, 75913, 75914, 75915, 75916, 75917, 75918,\n", - " 75919],\n", - " dtype='int64', length=126),\n", - " 13293: Int64Index([75920, 75921, 75922, 75923, 75924, 75925, 75926, 75927, 75928,\n", - " 75929,\n", - " ...\n", - " 76036, 76037, 76038, 76039, 76040, 76041, 76042, 76043, 76044,\n", - " 76045],\n", - " dtype='int64', length=126),\n", - " 13296: Int64Index([76046, 76047, 76048, 76049, 76050, 76051, 76052, 76053, 76054,\n", - " 76055,\n", - " ...\n", - " 76162, 76163, 76164, 76165, 76166, 76167, 76168, 76169, 76170,\n", - " 76171],\n", - " dtype='int64', length=126),\n", - " 13299: Int64Index([76172, 76173, 76174, 76175, 76176, 76177, 76178, 76179, 76180,\n", - " 76181, 76182, 76183, 76184, 76185, 76186, 76187, 76188, 76189,\n", - " 76190, 76191, 76192],\n", - " dtype='int64'),\n", - " 13300: Int64Index([76193, 76194, 76195, 76196, 76197, 76198, 76199, 76200, 76201,\n", - " 76202,\n", - " ...\n", - " 76309, 76310, 76311, 76312, 76313, 76314, 76315, 76316, 76317,\n", - " 76318],\n", - " dtype='int64', length=126),\n", - " 13301: Int64Index([76319, 76320, 76321, 76322, 76323, 76324, 76325, 76326, 76327,\n", - " 76328,\n", - " ...\n", - " 76435, 76436, 76437, 76438, 76439, 76440, 76441, 76442, 76443,\n", - " 76444],\n", - " dtype='int64', length=126),\n", - " 13302: Int64Index([76445, 76446, 76447, 76448, 76449, 76450, 76451, 76452, 76453,\n", - " 76454,\n", - " ...\n", - " 76561, 76562, 76563, 76564, 76565, 76566, 76567, 76568, 76569,\n", - " 76570],\n", - " dtype='int64', length=126),\n", - " 13303: Int64Index([76571, 76572, 76573, 76574, 76575, 76576, 76577, 76578, 76579,\n", - " 76580,\n", - " ...\n", - " 76687, 76688, 76689, 76690, 76691, 76692, 76693, 76694, 76695,\n", - " 76696],\n", - " dtype='int64', length=126),\n", - " 13305: Int64Index([76697, 76698, 76699, 76700, 76701, 76702, 76703, 76704, 76705,\n", - " 76706,\n", - " ...\n", - " 76813, 76814, 76815, 76816, 76817, 76818, 76819, 76820, 76821,\n", - " 76822],\n", - " dtype='int64', length=126),\n", - " 13308: Int64Index([76823, 76824, 76825, 76826, 76827, 76828, 76829, 76830, 76831,\n", - " 76832,\n", - " ...\n", - " 76939, 76940, 76941, 76942, 76943, 76944, 76945, 76946, 76947,\n", - " 76948],\n", - " dtype='int64', length=126),\n", - " 13309: Int64Index([76949, 76950, 76951, 76952, 76953, 76954, 76955, 76956, 76957,\n", - " 76958,\n", - " ...\n", - " 77065, 77066, 77067, 77068, 77069, 77070, 77071, 77072, 77073,\n", - " 77074],\n", - " dtype='int64', length=126),\n", - " 13310: Int64Index([77075, 77076, 77077, 77078, 77079, 77080, 77081, 77082, 77083,\n", - " 77084,\n", - " ...\n", - " 77191, 77192, 77193, 77194, 77195, 77196, 77197, 77198, 77199,\n", - " 77200],\n", - " dtype='int64', length=126),\n", - " 13314: Int64Index([77201, 77202, 77203, 77204, 77205, 77206, 77207, 77208, 77209,\n", - " 77210,\n", - " ...\n", - " 77317, 77318, 77319, 77320, 77321, 77322, 77323, 77324, 77325,\n", - " 77326],\n", - " dtype='int64', length=126),\n", - " 13315: Int64Index([77327, 77328, 77329, 77330, 77331, 77332, 77333, 77334, 77335,\n", - " 77336,\n", - " ...\n", - " 77443, 77444, 77445, 77446, 77447, 77448, 77449, 77450, 77451,\n", - " 77452],\n", - " dtype='int64', length=126),\n", - " 13316: Int64Index([77453, 77454, 77455, 77456, 77457, 77458, 77459, 77460, 77461,\n", - " 77462,\n", - " ...\n", - " 77569, 77570, 77571, 77572, 77573, 77574, 77575, 77576, 77577,\n", - " 77578],\n", - " dtype='int64', length=126),\n", - " 13318: Int64Index([77579, 77580, 77581, 77582, 77583, 77584, 77585, 77586, 77587,\n", - " 77588,\n", - " ...\n", - " 77695, 77696, 77697, 77698, 77699, 77700, 77701, 77702, 77703,\n", - " 77704],\n", - " dtype='int64', length=126),\n", - " 13319: Int64Index([77705, 77706, 77707, 77708, 77709, 77710, 77711, 77712, 77713,\n", - " 77714,\n", - " ...\n", - " 77821, 77822, 77823, 77824, 77825, 77826, 77827, 77828, 77829,\n", - " 77830],\n", - " dtype='int64', length=126),\n", - " 13321: Int64Index([77831, 77832, 77833, 77834, 77835, 77836, 77837, 77838, 77839,\n", - " 77840,\n", - " ...\n", - " 77947, 77948, 77949, 77950, 77951, 77952, 77953, 77954, 77955,\n", - " 77956],\n", - " dtype='int64', length=126),\n", - " 13322: Int64Index([77957, 77958, 77959, 77960, 77961, 77962, 77963, 77964, 77965,\n", - " 77966,\n", - " ...\n", - " 78073, 78074, 78075, 78076, 78077, 78078, 78079, 78080, 78081,\n", - " 78082],\n", - " dtype='int64', length=126),\n", - " 13323: Int64Index([78083, 78084, 78085, 78086, 78087, 78088, 78089, 78090, 78091,\n", - " 78092,\n", - " ...\n", - " 78199, 78200, 78201, 78202, 78203, 78204, 78205, 78206, 78207,\n", - " 78208],\n", - " dtype='int64', length=126),\n", - " 13324: Int64Index([78209, 78210, 78211, 78212, 78213, 78214, 78215, 78216, 78217,\n", - " 78218,\n", - " ...\n", - " 78325, 78326, 78327, 78328, 78329, 78330, 78331, 78332, 78333,\n", - " 78334],\n", - " dtype='int64', length=126),\n", - " 13325: Int64Index([78335, 78336, 78337, 78338, 78339, 78340, 78341, 78342, 78343,\n", - " 78344,\n", - " ...\n", - " 78451, 78452, 78453, 78454, 78455, 78456, 78457, 78458, 78459,\n", - " 78460],\n", - " dtype='int64', length=126),\n", - " 13326: Int64Index([78461, 78462, 78463, 78464, 78465, 78466, 78467, 78468, 78469,\n", - " 78470,\n", - " ...\n", - " 78577, 78578, 78579, 78580, 78581, 78582, 78583, 78584, 78585,\n", - " 78586],\n", - " dtype='int64', length=126),\n", - " 13328: Int64Index([78587, 78588, 78589, 78590, 78591, 78592, 78593, 78594, 78595,\n", - " 78596,\n", - " ...\n", - " 78703, 78704, 78705, 78706, 78707, 78708, 78709, 78710, 78711,\n", - " 78712],\n", - " dtype='int64', length=126),\n", - " 13329: Int64Index([78713, 78714, 78715, 78716, 78717, 78718, 78719, 78720, 78721,\n", - " 78722, 78723, 78724, 78725, 78726, 78727, 78728, 78729, 78730,\n", - " 78731, 78732, 78733, 78734, 78735, 78736, 78737, 78738, 78739,\n", - " 78740, 78741, 78742, 78743, 78744, 78745, 78746, 78747, 78748,\n", - " 78749, 78750, 78751, 78752, 78753, 78754, 78755, 78756, 78757,\n", - " 78758, 78759, 78760, 78761, 78762, 78763, 78764, 78765, 78766,\n", - " 78767, 78768, 78769, 78770, 78771, 78772, 78773, 78774, 78775,\n", - " 78776, 78777, 78778, 78779, 78780, 78781, 78782, 78783, 78784,\n", - " 78785, 78786, 78787, 78788, 78789, 78790, 78791, 78792, 78793,\n", - " 78794, 78795, 78796, 78797, 78798, 78799, 78800, 78801, 78802,\n", - " 78803, 78804, 78805],\n", - " dtype='int64'),\n", - " 13330: Int64Index([78806, 78807, 78808, 78809, 78810, 78811, 78812, 78813, 78814,\n", - " 78815,\n", - " ...\n", - " 78922, 78923, 78924, 78925, 78926, 78927, 78928, 78929, 78930,\n", - " 78931],\n", - " dtype='int64', length=126),\n", - " 13332: Int64Index([78932, 78933, 78934, 78935, 78936, 78937, 78938, 78939, 78940,\n", - " 78941,\n", - " ...\n", - " 79048, 79049, 79050, 79051, 79052, 79053, 79054, 79055, 79056,\n", - " 79057],\n", - " dtype='int64', length=126),\n", - " 13337: Int64Index([79058, 79059, 79060, 79061, 79062, 79063, 79064, 79065, 79066,\n", - " 79067,\n", - " ...\n", - " 79174, 79175, 79176, 79177, 79178, 79179, 79180, 79181, 79182,\n", - " 79183],\n", - " dtype='int64', length=126),\n", - " 13341: Int64Index([79184, 79185, 79186, 79187, 79188, 79189, 79190, 79191, 79192,\n", - " 79193,\n", - " ...\n", - " 79300, 79301, 79302, 79303, 79304, 79305, 79306, 79307, 79308,\n", - " 79309],\n", - " dtype='int64', length=126),\n", - " 13343: Int64Index([79310, 79311, 79312, 79313, 79314, 79315, 79316, 79317, 79318,\n", - " 79319,\n", - " ...\n", - " 79426, 79427, 79428, 79429, 79430, 79431, 79432, 79433, 79434,\n", - " 79435],\n", - " dtype='int64', length=126),\n", - " 13344: Int64Index([79436, 79437, 79438, 79439, 79440, 79441, 79442, 79443, 79444,\n", - " 79445,\n", - " ...\n", - " 79552, 79553, 79554, 79555, 79556, 79557, 79558, 79559, 79560,\n", - " 79561],\n", - " dtype='int64', length=126),\n", - " 13345: Int64Index([79562, 79563, 79564, 79565, 79566, 79567, 79568, 79569, 79570,\n", - " 79571,\n", - " ...\n", - " 79678, 79679, 79680, 79681, 79682, 79683, 79684, 79685, 79686,\n", - " 79687],\n", - " dtype='int64', length=126),\n", - " 13348: Int64Index([79688, 79689, 79690, 79691, 79692, 79693, 79694, 79695, 79696,\n", - " 79697,\n", - " ...\n", - " 79804, 79805, 79806, 79807, 79808, 79809, 79810, 79811, 79812,\n", - " 79813],\n", - " dtype='int64', length=126),\n", - " 13350: Int64Index([79814, 79815, 79816, 79817, 79818, 79819, 79820, 79821, 79822,\n", - " 79823,\n", - " ...\n", - " 79930, 79931, 79932, 79933, 79934, 79935, 79936, 79937, 79938,\n", - " 79939],\n", - " dtype='int64', length=126),\n", - " 13351: Int64Index([79940, 79941, 79942, 79943, 79944, 79945, 79946, 79947, 79948,\n", - " 79949,\n", - " ...\n", - " 80056, 80057, 80058, 80059, 80060, 80061, 80062, 80063, 80064,\n", - " 80065],\n", - " dtype='int64', length=126),\n", - " 13352: Int64Index([80066, 80067, 80068, 80069, 80070, 80071, 80072, 80073, 80074,\n", - " 80075,\n", - " ...\n", - " 80182, 80183, 80184, 80185, 80186, 80187, 80188, 80189, 80190,\n", - " 80191],\n", - " dtype='int64', length=126),\n", - " 13353: Int64Index([80192, 80193, 80194, 80195, 80196, 80197, 80198, 80199, 80200,\n", - " 80201,\n", - " ...\n", - " 80308, 80309, 80310, 80311, 80312, 80313, 80314, 80315, 80316,\n", - " 80317],\n", - " dtype='int64', length=126),\n", - " 13356: Int64Index([80318, 80319, 80320, 80321, 80322, 80323, 80324, 80325, 80326,\n", - " 80327,\n", - " ...\n", - " 80434, 80435, 80436, 80437, 80438, 80439, 80440, 80441, 80442,\n", - " 80443],\n", - " dtype='int64', length=126),\n", - " 13357: Int64Index([80444, 80445, 80446, 80447, 80448, 80449, 80450, 80451, 80452,\n", - " 80453,\n", - " ...\n", - " 80560, 80561, 80562, 80563, 80564, 80565, 80566, 80567, 80568,\n", - " 80569],\n", - " dtype='int64', length=126),\n", - " 13358: Int64Index([80570, 80571, 80572, 80573, 80574, 80575, 80576, 80577, 80578,\n", - " 80579,\n", - " ...\n", - " 80686, 80687, 80688, 80689, 80690, 80691, 80692, 80693, 80694,\n", - " 80695],\n", - " dtype='int64', length=126),\n", - " 13360: Int64Index([80696, 80697, 80698, 80699, 80700, 80701, 80702, 80703, 80704,\n", - " 80705,\n", - " ...\n", - " 80812, 80813, 80814, 80815, 80816, 80817, 80818, 80819, 80820,\n", - " 80821],\n", - " dtype='int64', length=126),\n", - " 13361: Int64Index([80822, 80823, 80824, 80825, 80826, 80827, 80828, 80829, 80830,\n", - " 80831,\n", - " ...\n", - " 80938, 80939, 80940, 80941, 80942, 80943, 80944, 80945, 80946,\n", - " 80947],\n", - " dtype='int64', length=126),\n", - " 13364: Int64Index([80948, 80949, 80950, 80951, 80952, 80953, 80954, 80955, 80956,\n", - " 80957,\n", - " ...\n", - " 81064, 81065, 81066, 81067, 81068, 81069, 81070, 81071, 81072,\n", - " 81073],\n", - " dtype='int64', length=126),\n", - " 13365: Int64Index([81074, 81075, 81076, 81077, 81078, 81079, 81080, 81081, 81082,\n", - " 81083,\n", - " ...\n", - " 81190, 81191, 81192, 81193, 81194, 81195, 81196, 81197, 81198,\n", - " 81199],\n", - " dtype='int64', length=126),\n", - " 13366: Int64Index([81200, 81201, 81202, 81203, 81204, 81205, 81206, 81207, 81208,\n", - " 81209,\n", - " ...\n", - " 81316, 81317, 81318, 81319, 81320, 81321, 81322, 81323, 81324,\n", - " 81325],\n", - " dtype='int64', length=126),\n", - " 13368: Int64Index([81326, 81327, 81328, 81329, 81330, 81331, 81332, 81333, 81334,\n", - " 81335, 81336, 81337, 81338, 81339, 81340, 81341, 81342, 81343,\n", - " 81344, 81345, 81346, 81347, 81348, 81349, 81350, 81351, 81352,\n", - " 81353, 81354, 81355, 81356, 81357, 81358, 81359, 81360, 81361,\n", - " 81362, 81363, 81364, 81365, 81366, 81367, 81368, 81369, 81370,\n", - " 81371, 81372, 81373],\n", - " dtype='int64'),\n", - " 13369: Int64Index([81374, 81375, 81376, 81377, 81378, 81379, 81380, 81381, 81382,\n", - " 81383,\n", - " ...\n", - " 81490, 81491, 81492, 81493, 81494, 81495, 81496, 81497, 81498,\n", - " 81499],\n", - " dtype='int64', length=126),\n", - " 13375: Int64Index([81500, 81501, 81502, 81503, 81504, 81505, 81506, 81507, 81508,\n", - " 81509,\n", - " ...\n", - " 81616, 81617, 81618, 81619, 81620, 81621, 81622, 81623, 81624,\n", - " 81625],\n", - " dtype='int64', length=126),\n", - " 13376: Int64Index([81626, 81627, 81628, 81629, 81630, 81631, 81632, 81633, 81634,\n", - " 81635,\n", - " ...\n", - " 81742, 81743, 81744, 81745, 81746, 81747, 81748, 81749, 81750,\n", - " 81751],\n", - " dtype='int64', length=126),\n", - " 13377: Int64Index([81752, 81753, 81754, 81755, 81756, 81757, 81758, 81759, 81760,\n", - " 81761,\n", - " ...\n", - " 81868, 81869, 81870, 81871, 81872, 81873, 81874, 81875, 81876,\n", - " 81877],\n", - " dtype='int64', length=126),\n", - " 13379: Int64Index([81878, 81879, 81880, 81881, 81882, 81883, 81884, 81885, 81886,\n", - " 81887,\n", - " ...\n", - " 81994, 81995, 81996, 81997, 81998, 81999, 82000, 82001, 82002,\n", - " 82003],\n", - " dtype='int64', length=126),\n", - " 13380: Int64Index([82004, 82005, 82006, 82007, 82008, 82009, 82010, 82011, 82012,\n", - " 82013,\n", - " ...\n", - " 82120, 82121, 82122, 82123, 82124, 82125, 82126, 82127, 82128,\n", - " 82129],\n", - " dtype='int64', length=126),\n", - " 13382: Int64Index([82130, 82131, 82132, 82133, 82134, 82135, 82136, 82137, 82138,\n", - " 82139,\n", - " ...\n", - " 82246, 82247, 82248, 82249, 82250, 82251, 82252, 82253, 82254,\n", - " 82255],\n", - " dtype='int64', length=126),\n", - " 13385: Int64Index([82256, 82257, 82258, 82259, 82260, 82261, 82262, 82263, 82264,\n", - " 82265, 82266, 82267, 82268, 82269, 82270, 82271, 82272, 82273,\n", - " 82274, 82275, 82276, 82277, 82278, 82279, 82280, 82281, 82282,\n", - " 82283, 82284, 82285, 82286, 82287, 82288, 82289, 82290, 82291,\n", - " 82292, 82293, 82294, 82295, 82296, 82297, 82298, 82299, 82300,\n", - " 82301, 82302, 82303, 82304, 82305, 82306, 82307, 82308, 82309,\n", - " 82310, 82311, 82312, 82313, 82314, 82315, 82316, 82317, 82318,\n", - " 82319, 82320, 82321, 82322, 82323, 82324, 82325, 82326, 82327,\n", - " 82328, 82329, 82330],\n", - " dtype='int64'),\n", - " 13386: Int64Index([82331, 82332, 82333, 82334, 82335, 82336, 82337, 82338, 82339,\n", - " 82340,\n", - " ...\n", - " 82447, 82448, 82449, 82450, 82451, 82452, 82453, 82454, 82455,\n", - " 82456],\n", - " dtype='int64', length=126),\n", - " 13387: Int64Index([82457, 82458, 82459, 82460, 82461, 82462, 82463, 82464, 82465,\n", - " 82466,\n", - " ...\n", - " 82573, 82574, 82575, 82576, 82577, 82578, 82579, 82580, 82581,\n", - " 82582],\n", - " dtype='int64', length=126),\n", - " 13388: Int64Index([82583, 82584, 82585, 82586, 82587, 82588, 82589, 82590, 82591,\n", - " 82592,\n", - " ...\n", - " 82699, 82700, 82701, 82702, 82703, 82704, 82705, 82706, 82707,\n", - " 82708],\n", - " dtype='int64', length=126),\n", - " 13393: Int64Index([82709, 82710, 82711, 82712, 82713, 82714, 82715, 82716, 82717,\n", - " 82718,\n", - " ...\n", - " 82825, 82826, 82827, 82828, 82829, 82830, 82831, 82832, 82833,\n", - " 82834],\n", - " dtype='int64', length=126),\n", - " 13395: Int64Index([82835, 82836, 82837, 82838, 82839, 82840, 82841, 82842, 82843,\n", - " 82844,\n", - " ...\n", - " 82951, 82952, 82953, 82954, 82955, 82956, 82957, 82958, 82959,\n", - " 82960],\n", - " dtype='int64', length=126),\n", - " 13396: Int64Index([82961, 82962, 82963, 82964, 82965, 82966, 82967, 82968, 82969,\n", - " 82970,\n", - " ...\n", - " 83077, 83078, 83079, 83080, 83081, 83082, 83083, 83084, 83085,\n", - " 83086],\n", - " dtype='int64', length=126),\n", - " 13399: Int64Index([83087, 83088, 83089, 83090, 83091, 83092, 83093, 83094, 83095,\n", - " 83096,\n", - " ...\n", - " 83203, 83204, 83205, 83206, 83207, 83208, 83209, 83210, 83211,\n", - " 83212],\n", - " dtype='int64', length=126),\n", - " 13400: Int64Index([83213, 83214, 83215, 83216, 83217, 83218, 83219, 83220, 83221,\n", - " 83222,\n", - " ...\n", - " 83329, 83330, 83331, 83332, 83333, 83334, 83335, 83336, 83337,\n", - " 83338],\n", - " dtype='int64', length=126),\n", - " 13401: Int64Index([83339, 83340, 83341, 83342, 83343, 83344, 83345, 83346, 83347,\n", - " 83348,\n", - " ...\n", - " 83455, 83456, 83457, 83458, 83459, 83460, 83461, 83462, 83463,\n", - " 83464],\n", - " dtype='int64', length=126),\n", - " 13403: Int64Index([83465, 83466, 83467, 83468, 83469, 83470, 83471, 83472, 83473,\n", - " 83474,\n", - " ...\n", - " 83581, 83582, 83583, 83584, 83585, 83586, 83587, 83588, 83589,\n", - " 83590],\n", - " dtype='int64', length=126),\n", - " 13405: Int64Index([83591, 83592, 83593, 83594, 83595, 83596, 83597, 83598, 83599,\n", - " 83600,\n", - " ...\n", - " 83707, 83708, 83709, 83710, 83711, 83712, 83713, 83714, 83715,\n", - " 83716],\n", - " dtype='int64', length=126),\n", - " 13407: Int64Index([83717, 83718, 83719, 83720, 83721, 83722, 83723, 83724, 83725,\n", - " 83726,\n", - " ...\n", - " 83833, 83834, 83835, 83836, 83837, 83838, 83839, 83840, 83841,\n", - " 83842],\n", - " dtype='int64', length=126),\n", - " 13409: Int64Index([83843, 83844, 83845, 83846, 83847, 83848, 83849, 83850, 83851,\n", - " 83852, 83853, 83854, 83855, 83856, 83857, 83858, 83859, 83860,\n", - " 83861, 83862, 83863, 83864, 83865, 83866, 83867, 83868, 83869,\n", - " 83870, 83871, 83872, 83873, 83874, 83875, 83876, 83877, 83878,\n", - " 83879, 83880, 83881, 83882, 83883, 83884, 83885, 83886, 83887,\n", - " 83888, 83889, 83890, 83891, 83892, 83893, 83894, 83895, 83896,\n", - " 83897, 83898, 83899, 83900, 83901, 83902, 83903, 83904, 83905,\n", - " 83906],\n", - " dtype='int64'),\n", - " 13410: Int64Index([83907, 83908, 83909, 83910, 83911, 83912, 83913, 83914, 83915,\n", - " 83916,\n", - " ...\n", - " 84023, 84024, 84025, 84026, 84027, 84028, 84029, 84030, 84031,\n", - " 84032],\n", - " dtype='int64', length=126),\n", - " 13411: Int64Index([84033, 84034, 84035, 84036, 84037, 84038, 84039, 84040, 84041,\n", - " 84042,\n", - " ...\n", - " 84149, 84150, 84151, 84152, 84153, 84154, 84155, 84156, 84157,\n", - " 84158],\n", - " dtype='int64', length=126),\n", - " 13412: Int64Index([84159, 84160, 84161, 84162, 84163, 84164, 84165, 84166, 84167,\n", - " 84168,\n", - " ...\n", - " 84275, 84276, 84277, 84278, 84279, 84280, 84281, 84282, 84283,\n", - " 84284],\n", - " dtype='int64', length=126),\n", - " 13428: Int64Index([84285, 84286, 84287, 84288, 84289, 84290, 84291, 84292, 84293,\n", - " 84294,\n", - " ...\n", - " 84401, 84402, 84403, 84404, 84405, 84406, 84407, 84408, 84409,\n", - " 84410],\n", - " dtype='int64', length=126),\n", - " 13429: Int64Index([84411, 84412, 84413, 84414, 84415, 84416, 84417, 84418, 84419,\n", - " 84420,\n", - " ...\n", - " 84527, 84528, 84529, 84530, 84531, 84532, 84533, 84534, 84535,\n", - " 84536],\n", - " dtype='int64', length=126),\n", - " 13431: Int64Index([84537, 84538, 84539, 84540, 84541, 84542, 84543, 84544, 84545,\n", - " 84546,\n", - " ...\n", - " 84653, 84654, 84655, 84656, 84657, 84658, 84659, 84660, 84661,\n", - " 84662],\n", - " dtype='int64', length=126),\n", - " 13432: Int64Index([84663, 84664, 84665, 84666, 84667, 84668, 84669, 84670, 84671,\n", - " 84672,\n", - " ...\n", - " 84779, 84780, 84781, 84782, 84783, 84784, 84785, 84786, 84787,\n", - " 84788],\n", - " dtype='int64', length=126),\n", - " 13433: Int64Index([84789, 84790, 84791, 84792, 84793, 84794, 84795, 84796, 84797,\n", - " 84798,\n", - " ...\n", - " 84905, 84906, 84907, 84908, 84909, 84910, 84911, 84912, 84913,\n", - " 84914],\n", - " dtype='int64', length=126),\n", - " 13436: Int64Index([84915, 84916, 84917, 84918, 84919, 84920, 84921, 84922, 84923,\n", - " 84924,\n", - " ...\n", - " 85031, 85032, 85033, 85034, 85035, 85036, 85037, 85038, 85039,\n", - " 85040],\n", - " dtype='int64', length=126),\n", - " 13437: Int64Index([85041, 85042, 85043, 85044, 85045, 85046, 85047, 85048, 85049,\n", - " 85050,\n", - " ...\n", - " 85157, 85158, 85159, 85160, 85161, 85162, 85163, 85164, 85165,\n", - " 85166],\n", - " dtype='int64', length=126),\n", - " 13438: Int64Index([85167, 85168, 85169, 85170, 85171, 85172, 85173, 85174, 85175,\n", - " 85176,\n", - " ...\n", - " 85283, 85284, 85285, 85286, 85287, 85288, 85289, 85290, 85291,\n", - " 85292],\n", - " dtype='int64', length=126),\n", - " 13439: Int64Index([85293, 85294, 85295, 85296, 85297, 85298, 85299, 85300, 85301,\n", - " 85302,\n", - " ...\n", - " 85409, 85410, 85411, 85412, 85413, 85414, 85415, 85416, 85417,\n", - " 85418],\n", - " dtype='int64', length=126),\n", - " 13440: Int64Index([85419, 85420, 85421, 85422, 85423, 85424, 85425, 85426, 85427,\n", - " 85428,\n", - " ...\n", - " 85535, 85536, 85537, 85538, 85539, 85540, 85541, 85542, 85543,\n", - " 85544],\n", - " dtype='int64', length=126),\n", - " 13441: Int64Index([85545, 85546, 85547, 85548, 85549, 85550, 85551, 85552, 85553,\n", - " 85554,\n", - " ...\n", - " 85661, 85662, 85663, 85664, 85665, 85666, 85667, 85668, 85669,\n", - " 85670],\n", - " dtype='int64', length=126),\n", - " 13444: Int64Index([85671, 85672, 85673, 85674, 85675, 85676, 85677, 85678, 85679,\n", - " 85680,\n", - " ...\n", - " 85787, 85788, 85789, 85790, 85791, 85792, 85793, 85794, 85795,\n", - " 85796],\n", - " dtype='int64', length=126),\n", - " 13446: Int64Index([85797, 85798, 85799, 85800, 85801, 85802, 85803, 85804, 85805,\n", - " 85806,\n", - " ...\n", - " 85913, 85914, 85915, 85916, 85917, 85918, 85919, 85920, 85921,\n", - " 85922],\n", - " dtype='int64', length=126),\n", - " 13447: Int64Index([85923, 85924, 85925, 85926, 85927, 85928, 85929, 85930, 85931,\n", - " 85932,\n", - " ...\n", - " 86039, 86040, 86041, 86042, 86043, 86044, 86045, 86046, 86047,\n", - " 86048],\n", - " dtype='int64', length=126),\n", - " 13452: Int64Index([86049, 86050, 86051, 86052, 86053, 86054, 86055, 86056, 86057,\n", - " 86058,\n", - " ...\n", - " 86165, 86166, 86167, 86168, 86169, 86170, 86171, 86172, 86173,\n", - " 86174],\n", - " dtype='int64', length=126),\n", - " 13453: Int64Index([86175, 86176, 86177, 86178, 86179, 86180, 86181, 86182, 86183,\n", - " 86184,\n", - " ...\n", - " 86291, 86292, 86293, 86294, 86295, 86296, 86297, 86298, 86299,\n", - " 86300],\n", - " dtype='int64', length=126),\n", - " 13455: Int64Index([86301, 86302, 86303, 86304, 86305, 86306, 86307, 86308, 86309,\n", - " 86310,\n", - " ...\n", - " 86417, 86418, 86419, 86420, 86421, 86422, 86423, 86424, 86425,\n", - " 86426],\n", - " dtype='int64', length=126),\n", - " 13456: Int64Index([86427, 86428, 86429, 86430, 86431, 86432, 86433, 86434, 86435,\n", - " 86436,\n", - " ...\n", - " 86543, 86544, 86545, 86546, 86547, 86548, 86549, 86550, 86551,\n", - " 86552],\n", - " dtype='int64', length=126),\n", - " 13501: Int64Index([86553, 86554, 86555, 86556, 86557, 86558, 86559, 86560, 86561,\n", - " 86562,\n", - " ...\n", - " 86669, 86670, 86671, 86672, 86673, 86674, 86675, 86676, 86677,\n", - " 86678],\n", - " dtype='int64', length=126),\n", - " 13502: Int64Index([86679, 86680, 86681, 86682, 86683, 86684, 86685, 86686, 86687,\n", - " 86688,\n", - " ...\n", - " 86795, 86796, 86797, 86798, 86799, 86800, 86801, 86802, 86803,\n", - " 86804],\n", - " dtype='int64', length=126),\n", - " 13503: Int64Index([86805, 86806, 86807, 86808, 86809, 86810, 86811, 86812, 86813,\n", - " 86814,\n", - " ...\n", - " 86921, 86922, 86923, 86924, 86925, 86926, 86927, 86928, 86929,\n", - " 86930],\n", - " dtype='int64', length=126),\n", - " 13504: Int64Index([86931, 86932, 86933, 86934, 86935, 86936, 86937, 86938, 86939,\n", - " 86940,\n", - " ...\n", - " 87047, 87048, 87049, 87050, 87051, 87052, 87053, 87054, 87055,\n", - " 87056],\n", - " dtype='int64', length=126),\n", - " 13505: Int64Index([87057, 87058, 87059, 87060, 87061, 87062, 87063, 87064, 87065,\n", - " 87066,\n", - " ...\n", - " 87173, 87174, 87175, 87176, 87177, 87178, 87179, 87180, 87181,\n", - " 87182],\n", - " dtype='int64', length=126),\n", - " 13507: Int64Index([87183, 87184, 87185, 87186, 87187, 87188, 87189, 87190, 87191,\n", - " 87192,\n", - " ...\n", - " 87299, 87300, 87301, 87302, 87303, 87304, 87305, 87306, 87307,\n", - " 87308],\n", - " dtype='int64', length=126),\n", - " 13508: Int64Index([87309, 87310, 87311, 87312, 87313, 87314, 87315, 87316, 87317,\n", - " 87318,\n", - " ...\n", - " 87425, 87426, 87427, 87428, 87429, 87430, 87431, 87432, 87433,\n", - " 87434],\n", - " dtype='int64', length=126),\n", - " 13510: Int64Index([87435, 87436, 87437, 87438, 87439, 87440, 87441, 87442, 87443,\n", - " 87444,\n", - " ...\n", - " 87551, 87552, 87553, 87554, 87555, 87556, 87557, 87558, 87559,\n", - " 87560],\n", - " dtype='int64', length=126),\n", - " 13511: Int64Index([87561, 87562, 87563, 87564, 87565, 87566, 87567, 87568, 87569,\n", - " 87570,\n", - " ...\n", - " 87677, 87678, 87679, 87680, 87681, 87682, 87683, 87684, 87685,\n", - " 87686],\n", - " dtype='int64', length=126),\n", - " 13512: Int64Index([87687, 87688, 87689, 87690, 87691, 87692, 87693, 87694, 87695,\n", - " 87696,\n", - " ...\n", - " 87803, 87804, 87805, 87806, 87807, 87808, 87809, 87810, 87811,\n", - " 87812],\n", - " dtype='int64', length=126),\n", - " 13513: Int64Index([87813, 87814, 87815, 87816, 87817, 87818, 87819, 87820, 87821,\n", - " 87822,\n", - " ...\n", - " 87929, 87930, 87931, 87932, 87933, 87934, 87935, 87936, 87937,\n", - " 87938],\n", - " dtype='int64', length=126),\n", - " 13517: Int64Index([87939, 87940, 87941, 87942, 87943, 87944, 87945, 87946, 87947,\n", - " 87948,\n", - " ...\n", - " 88055, 88056, 88057, 88058, 88059, 88060, 88061, 88062, 88063,\n", - " 88064],\n", - " dtype='int64', length=126),\n", - " 13518: Int64Index([88065, 88066, 88067, 88068, 88069, 88070, 88071, 88072, 88073,\n", - " 88074,\n", - " ...\n", - " 88181, 88182, 88183, 88184, 88185, 88186, 88187, 88188, 88189,\n", - " 88190],\n", - " dtype='int64', length=126),\n", - " 13519: Int64Index([88191, 88192, 88193, 88194, 88195, 88196, 88197, 88198, 88199,\n", - " 88200,\n", - " ...\n", - " 88307, 88308, 88309, 88310, 88311, 88312, 88313, 88314, 88315,\n", - " 88316],\n", - " dtype='int64', length=126),\n", - " 13520: Int64Index([88317, 88318, 88319, 88320, 88321, 88322, 88323, 88324, 88325,\n", - " 88326,\n", - " ...\n", - " 88433, 88434, 88435, 88436, 88437, 88438, 88439, 88440, 88441,\n", - " 88442],\n", - " dtype='int64', length=126),\n", - " 13521: Int64Index([88443, 88444, 88445, 88446, 88447, 88448, 88449, 88450, 88451,\n", - " 88452,\n", - " ...\n", - " 88559, 88560, 88561, 88562, 88563, 88564, 88565, 88566, 88567,\n", - " 88568],\n", - " dtype='int64', length=126),\n", - " 13524: Int64Index([88569, 88570, 88571, 88572, 88573, 88574, 88575, 88576, 88577,\n", - " 88578,\n", - " ...\n", - " 88685, 88686, 88687, 88688, 88689, 88690, 88691, 88692, 88693,\n", - " 88694],\n", - " dtype='int64', length=126),\n", - " 13527: Int64Index([88695, 88696, 88697, 88698, 88699, 88700, 88701, 88702, 88703,\n", - " 88704,\n", - " ...\n", - " 88811, 88812, 88813, 88814, 88815, 88816, 88817, 88818, 88819,\n", - " 88820],\n", - " dtype='int64', length=126),\n", - " 13528: Int64Index([88821, 88822, 88823, 88824, 88825, 88826, 88827, 88828, 88829,\n", - " 88830,\n", - " ...\n", - " 88937, 88938, 88939, 88940, 88941, 88942, 88943, 88944, 88945,\n", - " 88946],\n", - " dtype='int64', length=126),\n", - " 13532: Int64Index([88947, 88948, 88949, 88950, 88951, 88952, 88953, 88954, 88955,\n", - " 88956,\n", - " ...\n", - " 89063, 89064, 89065, 89066, 89067, 89068, 89069, 89070, 89071,\n", - " 89072],\n", - " dtype='int64', length=126),\n", - " 13534: Int64Index([89073, 89074, 89075, 89076, 89077, 89078, 89079, 89080, 89081,\n", - " 89082,\n", - " ...\n", - " 89189, 89190, 89191, 89192, 89193, 89194, 89195, 89196, 89197,\n", - " 89198],\n", - " dtype='int64', length=126),\n", - " 13537: Int64Index([89199, 89200, 89201, 89202, 89203, 89204, 89205, 89206, 89207,\n", - " 89208,\n", - " ...\n", - " 89315, 89316, 89317, 89318, 89319, 89320, 89321, 89322, 89323,\n", - " 89324],\n", - " dtype='int64', length=126),\n", - " 13539: Int64Index([89325, 89326, 89327, 89328, 89329, 89330, 89331, 89332, 89333,\n", - " 89334,\n", - " ...\n", - " 89441, 89442, 89443, 89444, 89445, 89446, 89447, 89448, 89449,\n", - " 89450],\n", - " dtype='int64', length=126),\n", - " 13541: Int64Index([89451, 89452, 89453, 89454, 89455, 89456, 89457, 89458, 89459,\n", - " 89460,\n", - " ...\n", - " 89567, 89568, 89569, 89570, 89571, 89572, 89573, 89574, 89575,\n", - " 89576],\n", - " dtype='int64', length=126),\n", - " 13542: Int64Index([89577, 89578, 89579, 89580, 89581, 89582, 89583, 89584, 89585,\n", - " 89586,\n", - " ...\n", - " 89693, 89694, 89695, 89696, 89697, 89698, 89699, 89700, 89701,\n", - " 89702],\n", - " dtype='int64', length=126),\n", - " 13543: Int64Index([89703, 89704, 89705, 89706, 89707, 89708, 89709, 89710, 89711,\n", - " 89712,\n", - " ...\n", - " 89819, 89820, 89821, 89822, 89823, 89824, 89825, 89826, 89827,\n", - " 89828],\n", - " dtype='int64', length=126),\n", - " 13544: Int64Index([89829, 89830, 89831, 89832, 89833, 89834, 89835, 89836, 89837,\n", - " 89838,\n", - " ...\n", - " 89945, 89946, 89947, 89948, 89949, 89950, 89951, 89952, 89953,\n", - " 89954],\n", - " dtype='int64', length=126),\n", - " 13545: Int64Index([89955, 89956, 89957, 89958, 89959, 89960, 89961, 89962, 89963,\n", - " 89964,\n", - " ...\n", - " 90071, 90072, 90073, 90074, 90075, 90076, 90077, 90078, 90079,\n", - " 90080],\n", - " dtype='int64', length=126),\n", - " 13547: Int64Index([90081, 90082, 90083, 90084, 90085, 90086, 90087, 90088, 90089,\n", - " 90090,\n", - " ...\n", - " 90197, 90198, 90199, 90200, 90201, 90202, 90203, 90204, 90205,\n", - " 90206],\n", - " dtype='int64', length=126),\n", - " 13548: Int64Index([90207, 90208, 90209, 90210, 90211, 90212, 90213, 90214, 90215,\n", - " 90216,\n", - " ...\n", - " 90323, 90324, 90325, 90326, 90327, 90328, 90329, 90330, 90331,\n", - " 90332],\n", - " dtype='int64', length=126),\n", - " 13555: Int64Index([90333, 90334, 90335, 90336, 90337, 90338, 90339, 90340, 90341,\n", - " 90342,\n", - " ...\n", - " 90449, 90450, 90451, 90452, 90453, 90454, 90455, 90456, 90457,\n", - " 90458],\n", - " dtype='int64', length=126),\n", - " 13556: Int64Index([90459, 90460, 90461, 90462, 90463, 90464, 90465, 90466, 90467,\n", - " 90468,\n", - " ...\n", - " 90575, 90576, 90577, 90578, 90579, 90580, 90581, 90582, 90583,\n", - " 90584],\n", - " dtype='int64', length=126),\n", - " 13559: Int64Index([90585, 90586, 90587, 90588, 90589, 90590, 90591, 90592, 90593,\n", - " 90594,\n", - " ...\n", - " 90701, 90702, 90703, 90704, 90705, 90706, 90707, 90708, 90709,\n", - " 90710],\n", - " dtype='int64', length=126),\n", - " 13561: Int64Index([90711, 90712, 90713, 90714, 90715, 90716, 90717, 90718, 90719,\n", - " 90720,\n", - " ...\n", - " 90827, 90828, 90829, 90830, 90831, 90832, 90833, 90834, 90835,\n", - " 90836],\n", - " dtype='int64', length=126),\n", - " 13562: Int64Index([90837, 90838, 90839, 90840, 90841, 90842, 90843, 90844, 90845,\n", - " 90846,\n", - " ...\n", - " 90953, 90954, 90955, 90956, 90957, 90958, 90959, 90960, 90961,\n", - " 90962],\n", - " dtype='int64', length=126),\n", - " 13563: Int64Index([90963, 90964, 90965, 90966, 90967, 90968, 90969, 90970, 90971,\n", - " 90972,\n", - " ...\n", - " 91079, 91080, 91081, 91082, 91083, 91084, 91085, 91086, 91087,\n", - " 91088],\n", - " dtype='int64', length=126),\n", - " 13568: Int64Index([91089, 91090, 91091, 91092, 91093, 91094, 91095, 91096, 91097,\n", - " 91098,\n", - " ...\n", - " 91205, 91206, 91207, 91208, 91209, 91210, 91211, 91212, 91213,\n", - " 91214],\n", - " dtype='int64', length=126),\n", - " 13569: Int64Index([91215, 91216, 91217, 91218, 91219, 91220, 91221, 91222, 91223,\n", - " 91224,\n", - " ...\n", - " 91331, 91332, 91333, 91334, 91335, 91336, 91337, 91338, 91339,\n", - " 91340],\n", - " dtype='int64', length=126),\n", - " 13570: Int64Index([91341, 91342, 91343, 91344, 91345, 91346, 91347, 91348, 91349,\n", - " 91350,\n", - " ...\n", - " 91457, 91458, 91459, 91460, 91461, 91462, 91463, 91464, 91465,\n", - " 91466],\n", - " dtype='int64', length=126),\n", - " 13571: Int64Index([91467, 91468, 91469, 91470, 91471, 91472, 91473, 91474, 91475,\n", - " 91476,\n", - " ...\n", - " 91583, 91584, 91585, 91586, 91587, 91588, 91589, 91590, 91591,\n", - " 91592],\n", - " dtype='int64', length=126),\n", - " 13572: Int64Index([91593, 91594, 91595, 91596, 91597, 91598, 91599, 91600, 91601,\n", - " 91602,\n", - " ...\n", - " 91709, 91710, 91711, 91712, 91713, 91714, 91715, 91716, 91717,\n", - " 91718],\n", - " dtype='int64', length=126),\n", - " 13575: Int64Index([91719, 91720, 91721, 91722, 91723, 91724, 91725, 91726, 91727,\n", - " 91728,\n", - " ...\n", - " 91835, 91836, 91837, 91838, 91839, 91840, 91841, 91842, 91843,\n", - " 91844],\n", - " dtype='int64', length=126),\n", - " 13576: Int64Index([91845, 91846, 91847, 91848, 91849, 91850, 91851, 91852, 91853,\n", - " 91854,\n", - " ...\n", - " 91961, 91962, 91963, 91964, 91965, 91966, 91967, 91968, 91969,\n", - " 91970],\n", - " dtype='int64', length=126),\n", - " 13577: Int64Index([91971, 91972, 91973, 91974, 91975, 91976, 91977, 91978, 91979,\n", - " 91980,\n", - " ...\n", - " 92087, 92088, 92089, 92090, 92091, 92092, 92093, 92094, 92095,\n", - " 92096],\n", - " dtype='int64', length=126),\n", - " 13578: Int64Index([92097, 92098, 92099, 92100, 92101, 92102, 92103, 92104, 92105,\n", - " 92106,\n", - " ...\n", - " 92213, 92214, 92215, 92216, 92217, 92218, 92219, 92220, 92221,\n", - " 92222],\n", - " dtype='int64', length=126),\n", - " 13579: Int64Index([92223, 92224, 92225, 92226, 92227, 92228, 92229, 92230, 92231,\n", - " 92232,\n", - " ...\n", - " 92339, 92340, 92341, 92342, 92343, 92344, 92345, 92346, 92347,\n", - " 92348],\n", - " dtype='int64', length=126),\n", - " 13583: Int64Index([92349, 92350, 92351, 92352, 92353, 92354, 92355, 92356, 92357,\n", - " 92358,\n", - " ...\n", - " 92465, 92466, 92467, 92468, 92469, 92470, 92471, 92472, 92473,\n", - " 92474],\n", - " dtype='int64', length=126),\n", - " 13584: Int64Index([92475, 92476, 92477, 92478, 92479, 92480, 92481, 92482, 92483,\n", - " 92484,\n", - " ...\n", - " 92591, 92592, 92593, 92594, 92595, 92596, 92597, 92598, 92599,\n", - " 92600],\n", - " dtype='int64', length=126),\n", - " 13586: Int64Index([92601, 92602, 92603, 92604, 92605, 92606, 92607, 92608, 92609,\n", - " 92610,\n", - " ...\n", - " 92717, 92718, 92719, 92720, 92721, 92722, 92723, 92724, 92725,\n", - " 92726],\n", - " dtype='int64', length=126),\n", - " 13595: Int64Index([92727, 92728, 92729, 92730, 92731, 92732, 92733, 92734, 92735,\n", - " 92736,\n", - " ...\n", - " 92843, 92844, 92845, 92846, 92847, 92848, 92849, 92850, 92851,\n", - " 92852],\n", - " dtype='int64', length=126),\n", - " 13599: Int64Index([92853, 92854, 92855, 92856, 92857, 92858, 92859, 92860, 92861,\n", - " 92862,\n", - " ...\n", - " 92969, 92970, 92971, 92972, 92973, 92974, 92975, 92976, 92977,\n", - " 92978],\n", - " dtype='int64', length=126),\n", - " 13600: Int64Index([92979, 92980, 92981, 92982, 92983, 92984, 92985, 92986, 92987,\n", - " 92988,\n", - " ...\n", - " 93095, 93096, 93097, 93098, 93099, 93100, 93101, 93102, 93103,\n", - " 93104],\n", - " dtype='int64', length=126),\n", - " 13601: Int64Index([93105, 93106, 93107, 93108, 93109, 93110, 93111, 93112, 93113,\n", - " 93114,\n", - " ...\n", - " 93221, 93222, 93223, 93224, 93225, 93226, 93227, 93228, 93229,\n", - " 93230],\n", - " dtype='int64', length=126),\n", - " 13604: Int64Index([93231, 93232, 93233, 93234, 93235, 93236, 93237, 93238, 93239,\n", - " 93240,\n", - " ...\n", - " 93347, 93348, 93349, 93350, 93351, 93352, 93353, 93354, 93355,\n", - " 93356],\n", - " dtype='int64', length=126),\n", - " 13606: Int64Index([93357, 93358, 93359, 93360, 93361, 93362, 93363, 93364, 93365,\n", - " 93366,\n", - " ...\n", - " 93473, 93474, 93475, 93476, 93477, 93478, 93479, 93480, 93481,\n", - " 93482],\n", - " dtype='int64', length=126),\n", - " 13607: Int64Index([93483, 93484, 93485, 93486, 93487, 93488, 93489, 93490, 93491,\n", - " 93492,\n", - " ...\n", - " 93599, 93600, 93601, 93602, 93603, 93604, 93605, 93606, 93607,\n", - " 93608],\n", - " dtype='int64', length=126),\n", - " 13608: Int64Index([93609, 93610, 93611, 93612, 93613, 93614, 93615, 93616, 93617,\n", - " 93618,\n", - " ...\n", - " 93725, 93726, 93727, 93728, 93729, 93730, 93731, 93732, 93733,\n", - " 93734],\n", - " dtype='int64', length=126),\n", - " 13609: Int64Index([93735, 93736, 93737, 93738, 93739, 93740, 93741, 93742, 93743,\n", - " 93744,\n", - " ...\n", - " 93851, 93852, 93853, 93854, 93855, 93856, 93857, 93858, 93859,\n", - " 93860],\n", - " dtype='int64', length=126),\n", - " 13610: Int64Index([93861, 93862, 93863, 93864, 93865, 93866, 93867, 93868, 93869,\n", - " 93870,\n", - " ...\n", - " 93977, 93978, 93979, 93980, 93981, 93982, 93983, 93984, 93985,\n", - " 93986],\n", - " dtype='int64', length=126),\n", - " 13612: Int64Index([93987, 93988, 93989, 93990, 93991, 93992, 93993, 93994, 93995,\n", - " 93996,\n", - " ...\n", - " 94103, 94104, 94105, 94106, 94107, 94108, 94109, 94110, 94111,\n", - " 94112],\n", - " dtype='int64', length=126),\n", - " 13613: Int64Index([94113, 94114, 94115, 94116, 94117, 94118, 94119, 94120, 94121,\n", - " 94122,\n", - " ...\n", - " 94229, 94230, 94231, 94232, 94233, 94234, 94235, 94236, 94237,\n", - " 94238],\n", - " dtype='int64', length=126),\n", - " 13615: Int64Index([94239, 94240, 94241, 94242, 94243, 94244, 94245, 94246, 94247,\n", - " 94248,\n", - " ...\n", - " 94355, 94356, 94357, 94358, 94359, 94360, 94361, 94362, 94363,\n", - " 94364],\n", - " dtype='int64', length=126),\n", - " 13618: Int64Index([94365, 94366, 94367, 94368, 94369, 94370, 94371, 94372, 94373,\n", - " 94374,\n", - " ...\n", - " 94481, 94482, 94483, 94484, 94485, 94486, 94487, 94488, 94489,\n", - " 94490],\n", - " dtype='int64', length=126),\n", - " 13620: Int64Index([94491, 94492, 94493, 94494, 94495, 94496, 94497, 94498, 94499,\n", - " 94500,\n", - " ...\n", - " 94607, 94608, 94609, 94610, 94611, 94612, 94613, 94614, 94615,\n", - " 94616],\n", - " dtype='int64', length=126),\n", - " 13621: Int64Index([94617, 94618, 94619, 94620, 94621, 94622, 94623, 94624, 94625,\n", - " 94626,\n", - " ...\n", - " 94733, 94734, 94735, 94736, 94737, 94738, 94739, 94740, 94741,\n", - " 94742],\n", - " dtype='int64', length=126),\n", - " 13622: Int64Index([94743, 94744, 94745, 94746, 94747, 94748, 94749, 94750, 94751,\n", - " 94752,\n", - " ...\n", - " 94859, 94860, 94861, 94862, 94863, 94864, 94865, 94866, 94867,\n", - " 94868],\n", - " dtype='int64', length=126),\n", - " 13623: Int64Index([94869, 94870, 94871, 94872, 94873, 94874, 94875, 94876, 94877,\n", - " 94878,\n", - " ...\n", - " 94985, 94986, 94987, 94988, 94989, 94990, 94991, 94992, 94993,\n", - " 94994],\n", - " dtype='int64', length=126),\n", - " 13624: Int64Index([94995, 94996, 94997, 94998, 94999, 95000, 95001, 95002, 95003,\n", - " 95004,\n", - " ...\n", - " 95111, 95112, 95113, 95114, 95115, 95116, 95117, 95118, 95119,\n", - " 95120],\n", - " dtype='int64', length=126),\n", - " 13625: Int64Index([95121, 95122, 95123, 95124, 95125, 95126, 95127, 95128, 95129,\n", - " 95130,\n", - " ...\n", - " 95237, 95238, 95239, 95240, 95241, 95242, 95243, 95244, 95245,\n", - " 95246],\n", - " dtype='int64', length=126),\n", - " 13626: Int64Index([95247, 95248, 95249, 95250, 95251, 95252, 95253, 95254, 95255,\n", - " 95256,\n", - " ...\n", - " 95363, 95364, 95365, 95366, 95367, 95368, 95369, 95370, 95371,\n", - " 95372],\n", - " dtype='int64', length=126),\n", - " 13628: Int64Index([95373, 95374, 95375, 95376, 95377, 95378, 95379, 95380, 95381,\n", - " 95382,\n", - " ...\n", - " 95489, 95490, 95491, 95492, 95493, 95494, 95495, 95496, 95497,\n", - " 95498],\n", - " dtype='int64', length=126),\n", - " 13631: Int64Index([95499, 95500, 95501, 95502, 95503, 95504, 95505, 95506, 95507,\n", - " 95508,\n", - " ...\n", - " 95615, 95616, 95617, 95618, 95619, 95620, 95621, 95622, 95623,\n", - " 95624],\n", - " dtype='int64', length=126),\n", - " 13633: Int64Index([95625, 95626, 95627, 95628, 95629, 95630, 95631, 95632, 95633,\n", - " 95634,\n", - " ...\n", - " 95741, 95742, 95743, 95744, 95745, 95746, 95747, 95748, 95749,\n", - " 95750],\n", - " dtype='int64', length=126),\n", - " 13634: Int64Index([95751, 95752, 95753, 95754, 95755, 95756, 95757, 95758, 95759,\n", - " 95760,\n", - " ...\n", - " 95867, 95868, 95869, 95870, 95871, 95872, 95873, 95874, 95875,\n", - " 95876],\n", - " dtype='int64', length=126),\n", - " 13641: Int64Index([95877, 95878, 95879, 95880, 95881, 95882, 95883, 95884, 95885,\n", - " 95886,\n", - " ...\n", - " 95993, 95994, 95995, 95996, 95997, 95998, 95999, 96000, 96001,\n", - " 96002],\n", - " dtype='int64', length=126),\n", - " 13642: Int64Index([96003, 96004, 96005, 96006, 96007, 96008, 96009, 96010, 96011,\n", - " 96012,\n", - " ...\n", - " 96119, 96120, 96121, 96122, 96123, 96124, 96125, 96126, 96127,\n", - " 96128],\n", - " dtype='int64', length=126),\n", - " 13643: Int64Index([96129, 96130, 96131, 96132, 96133, 96134, 96135, 96136, 96137,\n", - " 96138,\n", - " ...\n", - " 96245, 96246, 96247, 96248, 96249, 96250, 96251, 96252, 96253,\n", - " 96254],\n", - " dtype='int64', length=126),\n", - " 13648: Int64Index([96255, 96256, 96257, 96258, 96259, 96260, 96261, 96262, 96263,\n", - " 96264,\n", - " ...\n", - " 96371, 96372, 96373, 96374, 96375, 96376, 96377, 96378, 96379,\n", - " 96380],\n", - " dtype='int64', length=126),\n", - " 13650: Int64Index([96381, 96382, 96383, 96384, 96385, 96386, 96387, 96388, 96389,\n", - " 96390,\n", - " ...\n", - " 96497, 96498, 96499, 96500, 96501, 96502, 96503, 96504, 96505,\n", - " 96506],\n", - " dtype='int64', length=126),\n", - " 13652: Int64Index([96507, 96508, 96509, 96510, 96511, 96512, 96513, 96514, 96515,\n", - " 96516,\n", - " ...\n", - " 96623, 96624, 96625, 96626, 96627, 96628, 96629, 96630, 96631,\n", - " 96632],\n", - " dtype='int64', length=126),\n", - " 13655: Int64Index([96633, 96634, 96635, 96636, 96637, 96638, 96639, 96640, 96641,\n", - " 96642, 96643, 96644, 96645, 96646, 96647, 96648, 96649, 96650,\n", - " 96651, 96652, 96653, 96654, 96655, 96656, 96657, 96658, 96659,\n", - " 96660, 96661, 96662, 96663, 96664, 96665, 96666, 96667, 96668,\n", - " 96669, 96670, 96671, 96672, 96673, 96674, 96675, 96676, 96677,\n", - " 96678, 96679, 96680, 96681, 96682, 96683, 96684, 96685, 96686,\n", - " 96687, 96688, 96689, 96690, 96691, 96692, 96693, 96694, 96695,\n", - " 96696, 96697, 96698, 96699, 96700, 96701, 96702, 96703, 96704,\n", - " 96705, 96706, 96707, 96708, 96709, 96710, 96711, 96712, 96713,\n", - " 96714, 96715, 96716, 96717, 96718, 96719],\n", - " dtype='int64'),\n", - " 13656: Int64Index([96720, 96721, 96722, 96723, 96724, 96725, 96726, 96727, 96728,\n", - " 96729,\n", - " ...\n", - " 96836, 96837, 96838, 96839, 96840, 96841, 96842, 96843, 96844,\n", - " 96845],\n", - " dtype='int64', length=126),\n", - " 13657: Int64Index([96846, 96847, 96848, 96849, 96850, 96851, 96852, 96853, 96854,\n", - " 96855,\n", - " ...\n", - " 96962, 96963, 96964, 96965, 96966, 96967, 96968, 96969, 96970,\n", - " 96971],\n", - " dtype='int64', length=126),\n", - " 13658: Int64Index([96972, 96973, 96974, 96975, 96976, 96977, 96978, 96979, 96980,\n", - " 96981, 96982, 96983, 96984, 96985, 96986, 96987, 96988, 96989,\n", - " 96990, 96991, 96992, 96993, 96994, 96995, 96996, 96997, 96998,\n", - " 96999, 97000, 97001, 97002],\n", - " dtype='int64'),\n", - " 13679: Int64Index([97003, 97004, 97005, 97006, 97007, 97008, 97009, 97010, 97011,\n", - " 97012,\n", - " ...\n", - " 97119, 97120, 97121, 97122, 97123, 97124, 97125, 97126, 97127,\n", - " 97128],\n", - " dtype='int64', length=126),\n", - " 13680: Int64Index([97129, 97130, 97131, 97132, 97133, 97134, 97135, 97136, 97137,\n", - " 97138,\n", - " ...\n", - " 97245, 97246, 97247, 97248, 97249, 97250, 97251, 97252, 97253,\n", - " 97254],\n", - " dtype='int64', length=126),\n", - " 13681: Int64Index([97255, 97256, 97257, 97258, 97259, 97260, 97261, 97262, 97263,\n", - " 97264,\n", - " ...\n", - " 97371, 97372, 97373, 97374, 97375, 97376, 97377, 97378, 97379,\n", - " 97380],\n", - " dtype='int64', length=126),\n", - " 13684: Int64Index([97381, 97382, 97383, 97384, 97385, 97386, 97387, 97388, 97389,\n", - " 97390,\n", - " ...\n", - " 97497, 97498, 97499, 97500, 97501, 97502, 97503, 97504, 97505,\n", - " 97506],\n", - " dtype='int64', length=126),\n", - " 13685: Int64Index([97507, 97508, 97509, 97510, 97511, 97512, 97513, 97514, 97515,\n", - " 97516,\n", - " ...\n", - " 97623, 97624, 97625, 97626, 97627, 97628, 97629, 97630, 97631,\n", - " 97632],\n", - " dtype='int64', length=126),\n", - " 13686: Int64Index([97633, 97634, 97635, 97636, 97637, 97638, 97639, 97640, 97641,\n", - " 97642,\n", - " ...\n", - " 97749, 97750, 97751, 97752, 97753, 97754, 97755, 97756, 97757,\n", - " 97758],\n", - " dtype='int64', length=126),\n", - " 13687: Int64Index([97759, 97760, 97761, 97762, 97763, 97764, 97765, 97766, 97767,\n", - " 97768,\n", - " ...\n", - " 97875, 97876, 97877, 97878, 97879, 97880, 97881, 97882, 97883,\n", - " 97884],\n", - " dtype='int64', length=126),\n", - " 13688: Int64Index([97885, 97886, 97887, 97888, 97889, 97890, 97891, 97892, 97893,\n", - " 97894,\n", - " ...\n", - " 98001, 98002, 98003, 98004, 98005, 98006, 98007, 98008, 98009,\n", - " 98010],\n", - " dtype='int64', length=126),\n", - " 13691: Int64Index([98011, 98012, 98013, 98014, 98015, 98016, 98017, 98018, 98019,\n", - " 98020,\n", - " ...\n", - " 98127, 98128, 98129, 98130, 98131, 98132, 98133, 98134, 98135,\n", - " 98136],\n", - " dtype='int64', length=126),\n", - " 13692: Int64Index([98137, 98138, 98139, 98140, 98141, 98142, 98143, 98144, 98145,\n", - " 98146,\n", - " ...\n", - " 98253, 98254, 98255, 98256, 98257, 98258, 98259, 98260, 98261,\n", - " 98262],\n", - " dtype='int64', length=126),\n", - " 13693: Int64Index([98263, 98264, 98265, 98266, 98267, 98268, 98269, 98270, 98271,\n", - " 98272,\n", - " ...\n", - " 98379, 98380, 98381, 98382, 98383, 98384, 98385, 98386, 98387,\n", - " 98388],\n", - " dtype='int64', length=126),\n", - " 13694: Int64Index([98389, 98390, 98391, 98392, 98393, 98394, 98395, 98396, 98397,\n", - " 98398,\n", - " ...\n", - " 98505, 98506, 98507, 98508, 98509, 98510, 98511, 98512, 98513,\n", - " 98514],\n", - " dtype='int64', length=126),\n", - " 13698: Int64Index([98515, 98516, 98517, 98518, 98519, 98520, 98521, 98522, 98523,\n", - " 98524,\n", - " ...\n", - " 98631, 98632, 98633, 98634, 98635, 98636, 98637, 98638, 98639,\n", - " 98640],\n", - " dtype='int64', length=126),\n", - " 13700: Int64Index([98641, 98642, 98643, 98644, 98645, 98646, 98647, 98648, 98649,\n", - " 98650,\n", - " ...\n", - " 98757, 98758, 98759, 98760, 98761, 98762, 98763, 98764, 98765,\n", - " 98766],\n", - " dtype='int64', length=126),\n", - " 13701: Int64Index([98767, 98768, 98769, 98770, 98771, 98772, 98773, 98774, 98775,\n", - " 98776,\n", - " ...\n", - " 98883, 98884, 98885, 98886, 98887, 98888, 98889, 98890, 98891,\n", - " 98892],\n", - " dtype='int64', length=126),\n", - " 13704: Int64Index([98893, 98894, 98895, 98896, 98897, 98898, 98899, 98900, 98901,\n", - " 98902,\n", - " ...\n", - " 99009, 99010, 99011, 99012, 99013, 99014, 99015, 99016, 99017,\n", - " 99018],\n", - " dtype='int64', length=126),\n", - " 13706: Int64Index([99019, 99020, 99021, 99022, 99023, 99024, 99025, 99026, 99027,\n", - " 99028,\n", - " ...\n", - " 99135, 99136, 99137, 99138, 99139, 99140, 99141, 99142, 99143,\n", - " 99144],\n", - " dtype='int64', length=126),\n", - " 13707: Int64Index([99145, 99146, 99147, 99148, 99149, 99150, 99151, 99152, 99153,\n", - " 99154,\n", - " ...\n", - " 99261, 99262, 99263, 99264, 99265, 99266, 99267, 99268, 99269,\n", - " 99270],\n", - " dtype='int64', length=126),\n", - " 13712: Int64Index([99271, 99272, 99273, 99274, 99275, 99276, 99277, 99278, 99279,\n", - " 99280,\n", - " ...\n", - " 99387, 99388, 99389, 99390, 99391, 99392, 99393, 99394, 99395,\n", - " 99396],\n", - " dtype='int64', length=126),\n", - " 13714: Int64Index([99397, 99398, 99399, 99400, 99401, 99402, 99403, 99404, 99405,\n", - " 99406,\n", - " ...\n", - " 99513, 99514, 99515, 99516, 99517, 99518, 99519, 99520, 99521,\n", - " 99522],\n", - " dtype='int64', length=126),\n", - " 13721: Int64Index([99523, 99524, 99525, 99526, 99527, 99528, 99529, 99530, 99531,\n", - " 99532,\n", - " ...\n", - " 99639, 99640, 99641, 99642, 99643, 99644, 99645, 99646, 99647,\n", - " 99648],\n", - " dtype='int64', length=126),\n", - " 13723: Int64Index([99649, 99650, 99651, 99652, 99653, 99654, 99655, 99656, 99657,\n", - " 99658,\n", - " ...\n", - " 99765, 99766, 99767, 99768, 99769, 99770, 99771, 99772, 99773,\n", - " 99774],\n", - " dtype='int64', length=126),\n", - " 13724: Int64Index([99775, 99776, 99777, 99778, 99779, 99780, 99781, 99782, 99783,\n", - " 99784,\n", - " ...\n", - " 99891, 99892, 99893, 99894, 99895, 99896, 99897, 99898, 99899,\n", - " 99900],\n", - " dtype='int64', length=126),\n", - " 13727: Int64Index([ 99901, 99902, 99903, 99904, 99905, 99906, 99907, 99908,\n", - " 99909, 99910,\n", - " ...\n", - " 100017, 100018, 100019, 100020, 100021, 100022, 100023, 100024,\n", - " 100025, 100026],\n", - " dtype='int64', length=126),\n", - " 13728: Int64Index([100027, 100028, 100029, 100030, 100031, 100032, 100033, 100034,\n", - " 100035, 100036,\n", - " ...\n", - " 100143, 100144, 100145, 100146, 100147, 100148, 100149, 100150,\n", - " 100151, 100152],\n", - " dtype='int64', length=126),\n", - " 13729: Int64Index([100153, 100154, 100155, 100156, 100157, 100158, 100159, 100160,\n", - " 100161, 100162,\n", - " ...\n", - " 100269, 100270, 100271, 100272, 100273, 100274, 100275, 100276,\n", - " 100277, 100278],\n", - " dtype='int64', length=126),\n", - " 13730: Int64Index([100279, 100280, 100281, 100282, 100283, 100284, 100285, 100286,\n", - " 100287, 100288,\n", - " ...\n", - " 100395, 100396, 100397, 100398, 100399, 100400, 100401, 100402,\n", - " 100403, 100404],\n", - " dtype='int64', length=126),\n", - " 13731: Int64Index([100405, 100406, 100407, 100408, 100409, 100410, 100411, 100412,\n", - " 100413, 100414,\n", - " ...\n", - " 100521, 100522, 100523, 100524, 100525, 100526, 100527, 100528,\n", - " 100529, 100530],\n", - " dtype='int64', length=126),\n", - " 13732: Int64Index([100531, 100532, 100533, 100534, 100535, 100536, 100537, 100538,\n", - " 100539, 100540,\n", - " ...\n", - " 100647, 100648, 100649, 100650, 100651, 100652, 100653, 100654,\n", - " 100655, 100656],\n", - " dtype='int64', length=126),\n", - " 13737: Int64Index([100657, 100658, 100659, 100660, 100661, 100662, 100663, 100664,\n", - " 100665, 100666,\n", - " ...\n", - " 100773, 100774, 100775, 100776, 100777, 100778, 100779, 100780,\n", - " 100781, 100782],\n", - " dtype='int64', length=126),\n", - " 13738: Int64Index([100783, 100784, 100785, 100786, 100787, 100788, 100789, 100790,\n", - " 100791, 100792,\n", - " ...\n", - " 100899, 100900, 100901, 100902, 100903, 100904, 100905, 100906,\n", - " 100907, 100908],\n", - " dtype='int64', length=126),\n", - " 13739: Int64Index([100909, 100910, 100911, 100912, 100913, 100914, 100915, 100916,\n", - " 100917, 100918,\n", - " ...\n", - " 101025, 101026, 101027, 101028, 101029, 101030, 101031, 101032,\n", - " 101033, 101034],\n", - " dtype='int64', length=126),\n", - " 13740: Int64Index([101035, 101036, 101037, 101038, 101039, 101040, 101041, 101042,\n", - " 101043, 101044,\n", - " ...\n", - " 101151, 101152, 101153, 101154, 101155, 101156, 101157, 101158,\n", - " 101159, 101160],\n", - " dtype='int64', length=126),\n", - " 13743: Int64Index([101161, 101162, 101163, 101164, 101165, 101166, 101167, 101168,\n", - " 101169, 101170,\n", - " ...\n", - " 101277, 101278, 101279, 101280, 101281, 101282, 101283, 101284,\n", - " 101285, 101286],\n", - " dtype='int64', length=126),\n", - " 13744: Int64Index([101287, 101288, 101289, 101290, 101291, 101292, 101293, 101294,\n", - " 101295, 101296,\n", - " ...\n", - " 101403, 101404, 101405, 101406, 101407, 101408, 101409, 101410,\n", - " 101411, 101412],\n", - " dtype='int64', length=126),\n", - " 13746: Int64Index([101413, 101414, 101415, 101416, 101417, 101418, 101419, 101420,\n", - " 101421, 101422,\n", - " ...\n", - " 101529, 101530, 101531, 101532, 101533, 101534, 101535, 101536,\n", - " 101537, 101538],\n", - " dtype='int64', length=126),\n", - " 13747: Int64Index([101539, 101540, 101541, 101542, 101543, 101544, 101545, 101546,\n", - " 101547, 101548,\n", - " ...\n", - " 101655, 101656, 101657, 101658, 101659, 101660, 101661, 101662,\n", - " 101663, 101664],\n", - " dtype='int64', length=126),\n", - " 13748: Int64Index([101665, 101666, 101667, 101668, 101669, 101670, 101671, 101672,\n", - " 101673, 101674,\n", - " ...\n", - " 101781, 101782, 101783, 101784, 101785, 101786, 101787, 101788,\n", - " 101789, 101790],\n", - " dtype='int64', length=126),\n", - " 13749: Int64Index([101791, 101792, 101793, 101794, 101795, 101796, 101797, 101798,\n", - " 101799, 101800,\n", - " ...\n", - " 101907, 101908, 101909, 101910, 101911, 101912, 101913, 101914,\n", - " 101915, 101916],\n", - " dtype='int64', length=126),\n", - " 13750: Int64Index([101917, 101918, 101919, 101920, 101921, 101922, 101923, 101924,\n", - " 101925, 101926,\n", - " ...\n", - " 102033, 102034, 102035, 102036, 102037, 102038, 102039, 102040,\n", - " 102041, 102042],\n", - " dtype='int64', length=126),\n", - " 13751: Int64Index([102043, 102044, 102045, 102046, 102047, 102048, 102049, 102050,\n", - " 102051, 102052,\n", - " ...\n", - " 102159, 102160, 102161, 102162, 102163, 102164, 102165, 102166,\n", - " 102167, 102168],\n", - " dtype='int64', length=126),\n", - " 13752: Int64Index([102169, 102170, 102171, 102172, 102173, 102174, 102175, 102176,\n", - " 102177, 102178,\n", - " ...\n", - " 102285, 102286, 102287, 102288, 102289, 102290, 102291, 102292,\n", - " 102293, 102294],\n", - " dtype='int64', length=126),\n", - " 13756: Int64Index([102295, 102296, 102297, 102298, 102299, 102300, 102301, 102302,\n", - " 102303, 102304,\n", - " ...\n", - " 102411, 102412, 102413, 102414, 102415, 102416, 102417, 102418,\n", - " 102419, 102420],\n", - " dtype='int64', length=126),\n", - " 13757: Int64Index([102421, 102422, 102423, 102424, 102425, 102426, 102427, 102428,\n", - " 102429, 102430,\n", - " ...\n", - " 102537, 102538, 102539, 102540, 102541, 102542, 102543, 102544,\n", - " 102545, 102546],\n", - " dtype='int64', length=126),\n", - " 13760: Int64Index([102547, 102548, 102549, 102550, 102551, 102552, 102553, 102554,\n", - " 102555, 102556,\n", - " ...\n", - " 102663, 102664, 102665, 102666, 102667, 102668, 102669, 102670,\n", - " 102671, 102672],\n", - " dtype='int64', length=126),\n", - " 13761: Int64Index([102673, 102674, 102675, 102676, 102677, 102678, 102679, 102680,\n", - " 102681, 102682,\n", - " ...\n", - " 102789, 102790, 102791, 102792, 102793, 102794, 102795, 102796,\n", - " 102797, 102798],\n", - " dtype='int64', length=126),\n", - " 13763: Int64Index([102799, 102800, 102801, 102802, 102803, 102804, 102805, 102806,\n", - " 102807, 102808,\n", - " ...\n", - " 102915, 102916, 102917, 102918, 102919, 102920, 102921, 102922,\n", - " 102923, 102924],\n", - " dtype='int64', length=126),\n", - " 13764: Int64Index([102925, 102926, 102927, 102928, 102929, 102930, 102931, 102932,\n", - " 102933, 102934,\n", - " ...\n", - " 103041, 103042, 103043, 103044, 103045, 103046, 103047, 103048,\n", - " 103049, 103050],\n", - " dtype='int64', length=126),\n", - " 13765: Int64Index([103051, 103052, 103053, 103054, 103055, 103056, 103057, 103058,\n", - " 103059, 103060,\n", - " ...\n", - " 103167, 103168, 103169, 103170, 103171, 103172, 103173, 103174,\n", - " 103175, 103176],\n", - " dtype='int64', length=126),\n", - " 13766: Int64Index([103177, 103178, 103179, 103180, 103181, 103182, 103183, 103184,\n", - " 103185, 103186,\n", - " ...\n", - " 103293, 103294, 103295, 103296, 103297, 103298, 103299, 103300,\n", - " 103301, 103302],\n", - " dtype='int64', length=126),\n", - " 13767: Int64Index([103303, 103304, 103305, 103306, 103307, 103308, 103309, 103310,\n", - " 103311, 103312,\n", - " ...\n", - " 103419, 103420, 103421, 103422, 103423, 103424, 103425, 103426,\n", - " 103427, 103428],\n", - " dtype='int64', length=126),\n", - " 13769: Int64Index([103429, 103430, 103431, 103432, 103433, 103434, 103435, 103436,\n", - " 103437, 103438,\n", - " ...\n", - " 103545, 103546, 103547, 103548, 103549, 103550, 103551, 103552,\n", - " 103553, 103554],\n", - " dtype='int64', length=126),\n", - " 13771: Int64Index([103555, 103556, 103557, 103558, 103559, 103560, 103561, 103562,\n", - " 103563, 103564,\n", - " ...\n", - " 103671, 103672, 103673, 103674, 103675, 103676, 103677, 103678,\n", - " 103679, 103680],\n", - " dtype='int64', length=126),\n", - " 13772: Int64Index([103681, 103682, 103683, 103684, 103685, 103686, 103687, 103688,\n", - " 103689, 103690,\n", - " ...\n", - " 103797, 103798, 103799, 103800, 103801, 103802, 103803, 103804,\n", - " 103805, 103806],\n", - " dtype='int64', length=126),\n", - " 13774: Int64Index([103807, 103808, 103809, 103810, 103811, 103812, 103813, 103814,\n", - " 103815, 103816,\n", - " ...\n", - " 103923, 103924, 103925, 103926, 103927, 103928, 103929, 103930,\n", - " 103931, 103932],\n", - " dtype='int64', length=126),\n", - " 13775: Int64Index([103933, 103934, 103935, 103936, 103937, 103938, 103939, 103940,\n", - " 103941, 103942,\n", - " ...\n", - " 104049, 104050, 104051, 104052, 104053, 104054, 104055, 104056,\n", - " 104057, 104058],\n", - " dtype='int64', length=126),\n", - " 13777: Int64Index([104059, 104060, 104061, 104062, 104063, 104064, 104065, 104066,\n", - " 104067, 104068,\n", - " ...\n", - " 104175, 104176, 104177, 104178, 104179, 104180, 104181, 104182,\n", - " 104183, 104184],\n", - " dtype='int64', length=126),\n", - " 13779: Int64Index([104185, 104186, 104187, 104188, 104189, 104190, 104191, 104192,\n", - " 104193, 104194,\n", - " ...\n", - " 104301, 104302, 104303, 104304, 104305, 104306, 104307, 104308,\n", - " 104309, 104310],\n", - " dtype='int64', length=126),\n", - " 13780: Int64Index([104311, 104312, 104313, 104314, 104315, 104316, 104317, 104318,\n", - " 104319, 104320,\n", - " ...\n", - " 104427, 104428, 104429, 104430, 104431, 104432, 104433, 104434,\n", - " 104435, 104436],\n", - " dtype='int64', length=126),\n", - " 13781: Int64Index([104437, 104438, 104439, 104440, 104441, 104442, 104443, 104444,\n", - " 104445, 104446,\n", - " ...\n", - " 104553, 104554, 104555, 104556, 104557, 104558, 104559, 104560,\n", - " 104561, 104562],\n", - " dtype='int64', length=126),\n", - " 13782: Int64Index([104563, 104564, 104565, 104566, 104567, 104568, 104569, 104570,\n", - " 104571, 104572,\n", - " ...\n", - " 104679, 104680, 104681, 104682, 104683, 104684, 104685, 104686,\n", - " 104687, 104688],\n", - " dtype='int64', length=126),\n", - " 13783: Int64Index([104689, 104690, 104691, 104692, 104693, 104694, 104695, 104696,\n", - " 104697, 104698,\n", - " ...\n", - " 104805, 104806, 104807, 104808, 104809, 104810, 104811, 104812,\n", - " 104813, 104814],\n", - " dtype='int64', length=126),\n", - " 13786: Int64Index([104815, 104816, 104817, 104818, 104819, 104820, 104821, 104822,\n", - " 104823, 104824,\n", - " ...\n", - " 104931, 104932, 104933, 104934, 104935, 104936, 104937, 104938,\n", - " 104939, 104940],\n", - " dtype='int64', length=126),\n", - " 13787: Int64Index([104941, 104942, 104943, 104944, 104945, 104946, 104947, 104948,\n", - " 104949, 104950,\n", - " ...\n", - " 105057, 105058, 105059, 105060, 105061, 105062, 105063, 105064,\n", - " 105065, 105066],\n", - " dtype='int64', length=126),\n", - " 13788: Int64Index([105067, 105068, 105069, 105070, 105071, 105072, 105073, 105074,\n", - " 105075, 105076,\n", - " ...\n", - " 105183, 105184, 105185, 105186, 105187, 105188, 105189, 105190,\n", - " 105191, 105192],\n", - " dtype='int64', length=126),\n", - " 13789: Int64Index([105193, 105194, 105195, 105196, 105197, 105198, 105199, 105200,\n", - " 105201, 105202,\n", - " ...\n", - " 105309, 105310, 105311, 105312, 105313, 105314, 105315, 105316,\n", - " 105317, 105318],\n", - " dtype='int64', length=126),\n", - " 13794: Int64Index([105319, 105320, 105321, 105322, 105323, 105324, 105325, 105326,\n", - " 105327, 105328,\n", - " ...\n", - " 105435, 105436, 105437, 105438, 105439, 105440, 105441, 105442,\n", - " 105443, 105444],\n", - " dtype='int64', length=126),\n", - " 13795: Int64Index([105445, 105446, 105447, 105448, 105449, 105450, 105451, 105452,\n", - " 105453, 105454,\n", - " ...\n", - " 105561, 105562, 105563, 105564, 105565, 105566, 105567, 105568,\n", - " 105569, 105570],\n", - " dtype='int64', length=126),\n", - " 13796: Int64Index([105571, 105572, 105573, 105574, 105575, 105576, 105577, 105578,\n", - " 105579, 105580,\n", - " ...\n", - " 105687, 105688, 105689, 105690, 105691, 105692, 105693, 105694,\n", - " 105695, 105696],\n", - " dtype='int64', length=126),\n", - " 13797: Int64Index([105697, 105698, 105699, 105700, 105701, 105702, 105703, 105704,\n", - " 105705, 105706,\n", - " ...\n", - " 105813, 105814, 105815, 105816, 105817, 105818, 105819, 105820,\n", - " 105821, 105822],\n", - " dtype='int64', length=126),\n", - " 13798: Int64Index([105823, 105824, 105825, 105826, 105827, 105828, 105829, 105830,\n", - " 105831, 105832,\n", - " ...\n", - " 105939, 105940, 105941, 105942, 105943, 105944, 105945, 105946,\n", - " 105947, 105948],\n", - " dtype='int64', length=126),\n", - " 13799: Int64Index([105949, 105950, 105951, 105952, 105953, 105954, 105955, 105956,\n", - " 105957, 105958,\n", - " ...\n", - " 106065, 106066, 106067, 106068, 106069, 106070, 106071, 106072,\n", - " 106073, 106074],\n", - " dtype='int64', length=126),\n", - " 13801: Int64Index([106075, 106076, 106077, 106078, 106079, 106080, 106081, 106082,\n", - " 106083, 106084,\n", - " ...\n", - " 106191, 106192, 106193, 106194, 106195, 106196, 106197, 106198,\n", - " 106199, 106200],\n", - " dtype='int64', length=126),\n", - " 13802: Int64Index([106201, 106202, 106203, 106204, 106205, 106206, 106207, 106208,\n", - " 106209, 106210,\n", - " ...\n", - " 106317, 106318, 106319, 106320, 106321, 106322, 106323, 106324,\n", - " 106325, 106326],\n", - " dtype='int64', length=126),\n", - " 13807: Int64Index([106327, 106328, 106329, 106330, 106331, 106332, 106333, 106334,\n", - " 106335, 106336,\n", - " ...\n", - " 106443, 106444, 106445, 106446, 106447, 106448, 106449, 106450,\n", - " 106451, 106452],\n", - " dtype='int64', length=126),\n", - " 13808: Int64Index([106453, 106454, 106455, 106456, 106457, 106458, 106459, 106460,\n", - " 106461, 106462,\n", - " ...\n", - " 106569, 106570, 106571, 106572, 106573, 106574, 106575, 106576,\n", - " 106577, 106578],\n", - " dtype='int64', length=126),\n", - " 13809: Int64Index([106579, 106580, 106581, 106582, 106583, 106584, 106585, 106586,\n", - " 106587, 106588,\n", - " ...\n", - " 106695, 106696, 106697, 106698, 106699, 106700, 106701, 106702,\n", - " 106703, 106704],\n", - " dtype='int64', length=126),\n", - " 13810: Int64Index([106705, 106706, 106707, 106708, 106709, 106710, 106711, 106712,\n", - " 106713, 106714,\n", - " ...\n", - " 106821, 106822, 106823, 106824, 106825, 106826, 106827, 106828,\n", - " 106829, 106830],\n", - " dtype='int64', length=126),\n", - " 13811: Int64Index([106831, 106832, 106833, 106834, 106835, 106836, 106837, 106838,\n", - " 106839, 106840, 106841, 106842, 106843, 106844, 106845, 106846,\n", - " 106847, 106848, 106849, 106850, 106851, 106852, 106853, 106854,\n", - " 106855, 106856, 106857, 106858, 106859, 106860, 106861, 106862,\n", - " 106863, 106864, 106865, 106866, 106867, 106868, 106869, 106870,\n", - " 106871, 106872, 106873, 106874, 106875, 106876],\n", - " dtype='int64'),\n", - " 13812: Int64Index([106877, 106878, 106879, 106880, 106881, 106882, 106883, 106884,\n", - " 106885, 106886,\n", - " ...\n", - " 106993, 106994, 106995, 106996, 106997, 106998, 106999, 107000,\n", - " 107001, 107002],\n", - " dtype='int64', length=126),\n", - " 13816: Int64Index([107003, 107004, 107005, 107006, 107007, 107008, 107009, 107010,\n", - " 107011, 107012,\n", - " ...\n", - " 107119, 107120, 107121, 107122, 107123, 107124, 107125, 107126,\n", - " 107127, 107128],\n", - " dtype='int64', length=126),\n", - " 13817: Int64Index([107129, 107130, 107131, 107132, 107133, 107134, 107135, 107136,\n", - " 107137, 107138,\n", - " ...\n", - " 107245, 107246, 107247, 107248, 107249, 107250, 107251, 107252,\n", - " 107253, 107254],\n", - " dtype='int64', length=126),\n", - " 13818: Int64Index([107255, 107256, 107257, 107258, 107259, 107260, 107261, 107262,\n", - " 107263, 107264, 107265, 107266, 107267, 107268, 107269, 107270,\n", - " 107271, 107272, 107273, 107274, 107275, 107276, 107277, 107278,\n", - " 107279, 107280, 107281, 107282, 107283, 107284, 107285, 107286,\n", - " 107287, 107288, 107289, 107290, 107291, 107292, 107293, 107294,\n", - " 107295, 107296, 107297, 107298, 107299, 107300, 107301, 107302,\n", - " 107303, 107304, 107305, 107306, 107307, 107308, 107309, 107310,\n", - " 107311, 107312, 107313, 107314, 107315, 107316, 107317, 107318,\n", - " 107319, 107320, 107321, 107322, 107323, 107324, 107325, 107326,\n", - " 107327, 107328, 107329, 107330, 107331, 107332, 107333, 107334,\n", - " 107335, 107336, 107337],\n", - " dtype='int64'),\n", - " 13820: Int64Index([107338, 107339, 107340, 107341, 107342, 107343, 107344, 107345,\n", - " 107346, 107347,\n", - " ...\n", - " 107454, 107455, 107456, 107457, 107458, 107459, 107460, 107461,\n", - " 107462, 107463],\n", - " dtype='int64', length=126),\n", - " 13823: Int64Index([107464, 107465, 107466, 107467, 107468, 107469, 107470, 107471,\n", - " 107472, 107473,\n", - " ...\n", - " 107580, 107581, 107582, 107583, 107584, 107585, 107586, 107587,\n", - " 107588, 107589],\n", - " dtype='int64', length=126),\n", - " 13825: Int64Index([107590, 107591, 107592, 107593, 107594, 107595, 107596, 107597,\n", - " 107598, 107599,\n", - " ...\n", - " 107706, 107707, 107708, 107709, 107710, 107711, 107712, 107713,\n", - " 107714, 107715],\n", - " dtype='int64', length=126),\n", - " 13826: Int64Index([107716, 107717, 107718, 107719, 107720, 107721, 107722, 107723,\n", - " 107724, 107725,\n", - " ...\n", - " 107832, 107833, 107834, 107835, 107836, 107837, 107838, 107839,\n", - " 107840, 107841],\n", - " dtype='int64', length=126),\n", - " 13828: Int64Index([107842, 107843, 107844, 107845, 107846, 107847, 107848, 107849,\n", - " 107850, 107851,\n", - " ...\n", - " 107958, 107959, 107960, 107961, 107962, 107963, 107964, 107965,\n", - " 107966, 107967],\n", - " dtype='int64', length=126),\n", - " 13829: Int64Index([107968, 107969, 107970, 107971, 107972, 107973, 107974, 107975,\n", - " 107976, 107977,\n", - " ...\n", - " 108084, 108085, 108086, 108087, 108088, 108089, 108090, 108091,\n", - " 108092, 108093],\n", - " dtype='int64', length=126),\n", - " 13833: Int64Index([108094, 108095, 108096, 108097, 108098, 108099, 108100, 108101,\n", - " 108102, 108103,\n", - " ...\n", - " 108210, 108211, 108212, 108213, 108214, 108215, 108216, 108217,\n", - " 108218, 108219],\n", - " dtype='int64', length=126),\n", - " 13834: Int64Index([108220, 108221, 108222, 108223, 108224, 108225, 108226, 108227,\n", - " 108228, 108229,\n", - " ...\n", - " 108336, 108337, 108338, 108339, 108340, 108341, 108342, 108343,\n", - " 108344, 108345],\n", - " dtype='int64', length=126),\n", - " 13835: Int64Index([108346, 108347, 108348, 108349, 108350, 108351, 108352, 108353,\n", - " 108354, 108355,\n", - " ...\n", - " 108462, 108463, 108464, 108465, 108466, 108467, 108468, 108469,\n", - " 108470, 108471],\n", - " dtype='int64', length=126),\n", - " 13836: Int64Index([108472, 108473, 108474, 108475, 108476, 108477, 108478, 108479,\n", - " 108480, 108481,\n", - " ...\n", - " 108588, 108589, 108590, 108591, 108592, 108593, 108594, 108595,\n", - " 108596, 108597],\n", - " dtype='int64', length=126),\n", - " 13837: Int64Index([108598, 108599, 108600, 108601, 108602, 108603, 108604, 108605,\n", - " 108606, 108607,\n", - " ...\n", - " 108714, 108715, 108716, 108717, 108718, 108719, 108720, 108721,\n", - " 108722, 108723],\n", - " dtype='int64', length=126),\n", - " 13838: Int64Index([108724, 108725, 108726, 108727, 108728, 108729, 108730, 108731,\n", - " 108732, 108733,\n", - " ...\n", - " 108840, 108841, 108842, 108843, 108844, 108845, 108846, 108847,\n", - " 108848, 108849],\n", - " dtype='int64', length=126),\n", - " 13839: Int64Index([108850, 108851, 108852, 108853, 108854, 108855, 108856, 108857,\n", - " 108858, 108859,\n", - " ...\n", - " 108966, 108967, 108968, 108969, 108970, 108971, 108972, 108973,\n", - " 108974, 108975],\n", - " dtype='int64', length=126),\n", - " 13840: Int64Index([108976, 108977, 108978, 108979, 108980, 108981, 108982, 108983,\n", - " 108984, 108985,\n", - " ...\n", - " 109092, 109093, 109094, 109095, 109096, 109097, 109098, 109099,\n", - " 109100, 109101],\n", - " dtype='int64', length=126),\n", - " 13842: Int64Index([109102, 109103, 109104, 109105, 109106, 109107, 109108, 109109,\n", - " 109110, 109111,\n", - " ...\n", - " 109218, 109219, 109220, 109221, 109222, 109223, 109224, 109225,\n", - " 109226, 109227],\n", - " dtype='int64', length=126),\n", - " 13843: Int64Index([109228, 109229, 109230, 109231, 109232, 109233, 109234, 109235,\n", - " 109236, 109237,\n", - " ...\n", - " 109344, 109345, 109346, 109347, 109348, 109349, 109350, 109351,\n", - " 109352, 109353],\n", - " dtype='int64', length=126),\n", - " 13844: Int64Index([109354, 109355, 109356, 109357, 109358, 109359, 109360, 109361,\n", - " 109362, 109363,\n", - " ...\n", - " 109470, 109471, 109472, 109473, 109474, 109475, 109476, 109477,\n", - " 109478, 109479],\n", - " dtype='int64', length=126),\n", - " 13847: Int64Index([109480, 109481, 109482, 109483, 109484, 109485, 109486, 109487,\n", - " 109488, 109489,\n", - " ...\n", - " 109596, 109597, 109598, 109599, 109600, 109601, 109602, 109603,\n", - " 109604, 109605],\n", - " dtype='int64', length=126),\n", - " 13850: Int64Index([109606, 109607, 109608, 109609, 109610, 109611, 109612, 109613,\n", - " 109614, 109615,\n", - " ...\n", - " 109722, 109723, 109724, 109725, 109726, 109727, 109728, 109729,\n", - " 109730, 109731],\n", - " dtype='int64', length=126),\n", - " 13851: Int64Index([109732, 109733, 109734, 109735, 109736, 109737, 109738, 109739,\n", - " 109740, 109741,\n", - " ...\n", - " 109848, 109849, 109850, 109851, 109852, 109853, 109854, 109855,\n", - " 109856, 109857],\n", - " dtype='int64', length=126),\n", - " 13852: Int64Index([109858, 109859, 109860, 109861, 109862, 109863, 109864, 109865,\n", - " 109866, 109867,\n", - " ...\n", - " 109974, 109975, 109976, 109977, 109978, 109979, 109980, 109981,\n", - " 109982, 109983],\n", - " dtype='int64', length=126),\n", - " 13853: Int64Index([109984, 109985, 109986, 109987, 109988, 109989, 109990, 109991,\n", - " 109992, 109993,\n", - " ...\n", - " 110100, 110101, 110102, 110103, 110104, 110105, 110106, 110107,\n", - " 110108, 110109],\n", - " dtype='int64', length=126),\n", - " 13856: Int64Index([110110, 110111, 110112, 110113, 110114, 110115, 110116, 110117,\n", - " 110118, 110119,\n", - " ...\n", - " 110226, 110227, 110228, 110229, 110230, 110231, 110232, 110233,\n", - " 110234, 110235],\n", - " dtype='int64', length=126),\n", - " 13859: Int64Index([110236, 110237, 110238, 110239, 110240, 110241, 110242, 110243,\n", - " 110244, 110245,\n", - " ...\n", - " 110352, 110353, 110354, 110355, 110356, 110357, 110358, 110359,\n", - " 110360, 110361],\n", - " dtype='int64', length=126),\n", - " 13860: Int64Index([110362, 110363, 110364, 110365, 110366, 110367, 110368, 110369,\n", - " 110370, 110371,\n", - " ...\n", - " 110478, 110479, 110480, 110481, 110482, 110483, 110484, 110485,\n", - " 110486, 110487],\n", - " dtype='int64', length=126),\n", - " 13862: Int64Index([110488, 110489, 110490, 110491, 110492, 110493, 110494, 110495,\n", - " 110496, 110497,\n", - " ...\n", - " 110604, 110605, 110606, 110607, 110608, 110609, 110610, 110611,\n", - " 110612, 110613],\n", - " dtype='int64', length=126),\n", - " 13863: Int64Index([110614, 110615, 110616, 110617, 110618, 110619, 110620, 110621,\n", - " 110622, 110623,\n", - " ...\n", - " 110730, 110731, 110732, 110733, 110734, 110735, 110736, 110737,\n", - " 110738, 110739],\n", - " dtype='int64', length=126),\n", - " 13866: Int64Index([110740, 110741, 110742, 110743, 110744, 110745, 110746, 110747,\n", - " 110748, 110749,\n", - " ...\n", - " 110856, 110857, 110858, 110859, 110860, 110861, 110862, 110863,\n", - " 110864, 110865],\n", - " dtype='int64', length=126),\n", - " 13867: Int64Index([110866, 110867, 110868, 110869, 110870, 110871, 110872, 110873,\n", - " 110874, 110875,\n", - " ...\n", - " 110982, 110983, 110984, 110985, 110986, 110987, 110988, 110989,\n", - " 110990, 110991],\n", - " dtype='int64', length=126),\n", - " 13869: Int64Index([110992, 110993, 110994, 110995, 110996, 110997, 110998, 110999,\n", - " 111000, 111001,\n", - " ...\n", - " 111108, 111109, 111110, 111111, 111112, 111113, 111114, 111115,\n", - " 111116, 111117],\n", - " dtype='int64', length=126),\n", - " 13870: Int64Index([111118, 111119, 111120, 111121, 111122, 111123, 111124, 111125,\n", - " 111126, 111127,\n", - " ...\n", - " 111234, 111235, 111236, 111237, 111238, 111239, 111240, 111241,\n", - " 111242, 111243],\n", - " dtype='int64', length=126),\n", - " 13876: Int64Index([111244, 111245, 111246, 111247, 111248, 111249, 111250, 111251,\n", - " 111252, 111253,\n", - " ...\n", - " 111360, 111361, 111362, 111363, 111364, 111365, 111366, 111367,\n", - " 111368, 111369],\n", - " dtype='int64', length=126),\n", - " 13877: Int64Index([111370, 111371, 111372, 111373, 111374, 111375, 111376, 111377,\n", - " 111378, 111379,\n", - " ...\n", - " 111486, 111487, 111488, 111489, 111490, 111491, 111492, 111493,\n", - " 111494, 111495],\n", - " dtype='int64', length=126),\n", - " 13878: Int64Index([111496, 111497, 111498, 111499, 111500, 111501, 111502, 111503,\n", - " 111504, 111505, 111506, 111507, 111508, 111509, 111510, 111511,\n", - " 111512, 111513, 111514, 111515, 111516, 111517, 111518, 111519,\n", - " 111520, 111521, 111522, 111523, 111524, 111525, 111526, 111527,\n", - " 111528, 111529, 111530, 111531, 111532, 111533, 111534, 111535,\n", - " 111536, 111537, 111538, 111539, 111540, 111541, 111542, 111543,\n", - " 111544, 111545, 111546, 111547, 111548, 111549, 111550, 111551,\n", - " 111552, 111553, 111554, 111555, 111556, 111557, 111558, 111559,\n", - " 111560, 111561, 111562, 111563, 111564, 111565, 111566, 111567,\n", - " 111568, 111569, 111570, 111571, 111572, 111573, 111574, 111575,\n", - " 111576, 111577, 111578, 111579, 111580, 111581, 111582, 111583,\n", - " 111584, 111585, 111586],\n", - " dtype='int64'),\n", - " 13879: Int64Index([111587, 111588, 111589, 111590, 111591, 111592, 111593, 111594,\n", - " 111595, 111596,\n", - " ...\n", - " 111703, 111704, 111705, 111706, 111707, 111708, 111709, 111710,\n", - " 111711, 111712],\n", - " dtype='int64', length=126),\n", - " 13883: Int64Index([111713, 111714, 111715, 111716, 111717, 111718, 111719, 111720,\n", - " 111721, 111722,\n", - " ...\n", - " 111829, 111830, 111831, 111832, 111833, 111834, 111835, 111836,\n", - " 111837, 111838],\n", - " dtype='int64', length=126),\n", - " 13887: Int64Index([111839, 111840, 111841, 111842, 111843, 111844, 111845, 111846,\n", - " 111847, 111848,\n", - " ...\n", - " 111955, 111956, 111957, 111958, 111959, 111960, 111961, 111962,\n", - " 111963, 111964],\n", - " dtype='int64', length=126),\n", - " 13888: Int64Index([111965, 111966, 111967, 111968, 111969, 111970, 111971, 111972,\n", - " 111973, 111974,\n", - " ...\n", - " 112081, 112082, 112083, 112084, 112085, 112086, 112087, 112088,\n", - " 112089, 112090],\n", - " dtype='int64', length=126),\n", - " 13889: Int64Index([112091, 112092, 112093, 112094, 112095, 112096, 112097, 112098,\n", - " 112099, 112100, 112101, 112102, 112103, 112104, 112105, 112106,\n", - " 112107, 112108, 112109, 112110, 112111, 112112, 112113, 112114,\n", - " 112115, 112116, 112117, 112118, 112119, 112120, 112121, 112122,\n", - " 112123, 112124, 112125, 112126, 112127, 112128, 112129, 112130,\n", - " 112131, 112132, 112133, 112134, 112135, 112136, 112137, 112138,\n", - " 112139, 112140, 112141, 112142, 112143, 112144, 112145, 112146,\n", - " 112147, 112148, 112149, 112150, 112151, 112152, 112153, 112154,\n", - " 112155, 112156, 112157, 112158, 112159, 112160, 112161],\n", - " dtype='int64'),\n", - " 13890: Int64Index([112162, 112163, 112164, 112165, 112166, 112167, 112168, 112169,\n", - " 112170, 112171,\n", - " ...\n", - " 112278, 112279, 112280, 112281, 112282, 112283, 112284, 112285,\n", - " 112286, 112287],\n", - " dtype='int64', length=126),\n", - " 13894: Int64Index([112288, 112289, 112290, 112291, 112292, 112293, 112294, 112295,\n", - " 112296, 112297,\n", - " ...\n", - " 112404, 112405, 112406, 112407, 112408, 112409, 112410, 112411,\n", - " 112412, 112413],\n", - " dtype='int64', length=126),\n", - " 13895: Int64Index([112414, 112415, 112416, 112417, 112418, 112419, 112420, 112421,\n", - " 112422, 112423,\n", - " ...\n", - " 112530, 112531, 112532, 112533, 112534, 112535, 112536, 112537,\n", - " 112538, 112539],\n", - " dtype='int64', length=126),\n", - " 13896: Int64Index([112540, 112541, 112542, 112543, 112544, 112545, 112546, 112547,\n", - " 112548, 112549,\n", - " ...\n", - " 112656, 112657, 112658, 112659, 112660, 112661, 112662, 112663,\n", - " 112664, 112665],\n", - " dtype='int64', length=126),\n", - " 13897: Int64Index([112666, 112667, 112668, 112669, 112670, 112671, 112672, 112673,\n", - " 112674, 112675,\n", - " ...\n", - " 112782, 112783, 112784, 112785, 112786, 112787, 112788, 112789,\n", - " 112790, 112791],\n", - " dtype='int64', length=126),\n", - " 13898: Int64Index([112792, 112793, 112794, 112795, 112796, 112797, 112798, 112799,\n", - " 112800, 112801,\n", - " ...\n", - " 112908, 112909, 112910, 112911, 112912, 112913, 112914, 112915,\n", - " 112916, 112917],\n", - " dtype='int64', length=126),\n", - " 13901: Int64Index([112918, 112919, 112920, 112921, 112922, 112923, 112924, 112925,\n", - " 112926, 112927,\n", - " ...\n", - " 113034, 113035, 113036, 113037, 113038, 113039, 113040, 113041,\n", - " 113042, 113043],\n", - " dtype='int64', length=126),\n", - " 13903: Int64Index([113044, 113045, 113046, 113047, 113048, 113049, 113050, 113051,\n", - " 113052, 113053,\n", - " ...\n", - " 113160, 113161, 113162, 113163, 113164, 113165, 113166, 113167,\n", - " 113168, 113169],\n", - " dtype='int64', length=126),\n", - " 13904: Int64Index([113170, 113171, 113172, 113173, 113174, 113175, 113176, 113177,\n", - " 113178, 113179,\n", - " ...\n", - " 113286, 113287, 113288, 113289, 113290, 113291, 113292, 113293,\n", - " 113294, 113295],\n", - " dtype='int64', length=126),\n", - " 13905: Int64Index([113296, 113297, 113298, 113299, 113300, 113301, 113302, 113303,\n", - " 113304, 113305,\n", - " ...\n", - " 113412, 113413, 113414, 113415, 113416, 113417, 113418, 113419,\n", - " 113420, 113421],\n", - " dtype='int64', length=126),\n", - " 13906: Int64Index([113422, 113423, 113424, 113425, 113426, 113427, 113428, 113429,\n", - " 113430, 113431,\n", - " ...\n", - " 113538, 113539, 113540, 113541, 113542, 113543, 113544, 113545,\n", - " 113546, 113547],\n", - " dtype='int64', length=126),\n", - " 13907: Int64Index([113548, 113549, 113550, 113551, 113552, 113553, 113554, 113555,\n", - " 113556, 113557,\n", - " ...\n", - " 113664, 113665, 113666, 113667, 113668, 113669, 113670, 113671,\n", - " 113672, 113673],\n", - " dtype='int64', length=126),\n", - " 13908: Int64Index([113674, 113675, 113676, 113677, 113678, 113679, 113680, 113681,\n", - " 113682, 113683,\n", - " ...\n", - " 113790, 113791, 113792, 113793, 113794, 113795, 113796, 113797,\n", - " 113798, 113799],\n", - " dtype='int64', length=126),\n", - " 13911: Int64Index([113800, 113801, 113802, 113803, 113804, 113805, 113806, 113807,\n", - " 113808, 113809,\n", - " ...\n", - " 113916, 113917, 113918, 113919, 113920, 113921, 113922, 113923,\n", - " 113924, 113925],\n", - " dtype='int64', length=126),\n", - " 13912: Int64Index([113926, 113927, 113928, 113929, 113930, 113931, 113932, 113933,\n", - " 113934, 113935,\n", - " ...\n", - " 114042, 114043, 114044, 114045, 114046, 114047, 114048, 114049,\n", - " 114050, 114051],\n", - " dtype='int64', length=126),\n", - " 13913: Int64Index([114052, 114053, 114054, 114055, 114056, 114057, 114058, 114059,\n", - " 114060, 114061,\n", - " ...\n", - " 114168, 114169, 114170, 114171, 114172, 114173, 114174, 114175,\n", - " 114176, 114177],\n", - " dtype='int64', length=126),\n", - " 13914: Int64Index([114178, 114179, 114180, 114181, 114182, 114183, 114184, 114185,\n", - " 114186, 114187,\n", - " ...\n", - " 114294, 114295, 114296, 114297, 114298, 114299, 114300, 114301,\n", - " 114302, 114303],\n", - " dtype='int64', length=126),\n", - " 13915: Int64Index([114304], dtype='int64'),\n", - " 13917: Int64Index([114305, 114306, 114307, 114308, 114309, 114310, 114311, 114312,\n", - " 114313, 114314,\n", - " ...\n", - " 114421, 114422, 114423, 114424, 114425, 114426, 114427, 114428,\n", - " 114429, 114430],\n", - " dtype='int64', length=126),\n", - " 13918: Int64Index([114431, 114432, 114433, 114434, 114435, 114436, 114437, 114438,\n", - " 114439, 114440,\n", - " ...\n", - " 114547, 114548, 114549, 114550, 114551, 114552, 114553, 114554,\n", - " 114555, 114556],\n", - " dtype='int64', length=126),\n", - " 13919: Int64Index([114557, 114558, 114559, 114560, 114561, 114562, 114563, 114564,\n", - " 114565, 114566,\n", - " ...\n", - " 114673, 114674, 114675, 114676, 114677, 114678, 114679, 114680,\n", - " 114681, 114682],\n", - " dtype='int64', length=126),\n", - " 13921: Int64Index([114683, 114684, 114685, 114686, 114687, 114688, 114689, 114690,\n", - " 114691, 114692,\n", - " ...\n", - " 114799, 114800, 114801, 114802, 114803, 114804, 114805, 114806,\n", - " 114807, 114808],\n", - " dtype='int64', length=126),\n", - " 13922: Int64Index([114809, 114810, 114811, 114812, 114813, 114814, 114815, 114816,\n", - " 114817, 114818,\n", - " ...\n", - " 114925, 114926, 114927, 114928, 114929, 114930, 114931, 114932,\n", - " 114933, 114934],\n", - " dtype='int64', length=126),\n", - " 13924: Int64Index([114935, 114936, 114937, 114938, 114939, 114940, 114941, 114942,\n", - " 114943, 114944,\n", - " ...\n", - " 115051, 115052, 115053, 115054, 115055, 115056, 115057, 115058,\n", - " 115059, 115060],\n", - " dtype='int64', length=126),\n", - " 13925: Int64Index([115061, 115062, 115063, 115064, 115065, 115066, 115067, 115068,\n", - " 115069, 115070,\n", - " ...\n", - " 115177, 115178, 115179, 115180, 115181, 115182, 115183, 115184,\n", - " 115185, 115186],\n", - " dtype='int64', length=126),\n", - " 13926: Int64Index([115187, 115188, 115189, 115190, 115191, 115192, 115193, 115194,\n", - " 115195, 115196,\n", - " ...\n", - " 115303, 115304, 115305, 115306, 115307, 115308, 115309, 115310,\n", - " 115311, 115312],\n", - " dtype='int64', length=126),\n", - " 13927: Int64Index([115313, 115314, 115315, 115316, 115317, 115318, 115319, 115320,\n", - " 115321, 115322,\n", - " ...\n", - " 115429, 115430, 115431, 115432, 115433, 115434, 115435, 115436,\n", - " 115437, 115438],\n", - " dtype='int64', length=126),\n", - " 13928: Int64Index([115439, 115440, 115441, 115442, 115443, 115444, 115445, 115446,\n", - " 115447, 115448,\n", - " ...\n", - " 115555, 115556, 115557, 115558, 115559, 115560, 115561, 115562,\n", - " 115563, 115564],\n", - " dtype='int64', length=126),\n", - " 13930: Int64Index([115565, 115566, 115567, 115568, 115569, 115570, 115571, 115572,\n", - " 115573, 115574,\n", - " ...\n", - " 115681, 115682, 115683, 115684, 115685, 115686, 115687, 115688,\n", - " 115689, 115690],\n", - " dtype='int64', length=126),\n", - " 13931: Int64Index([115691, 115692, 115693, 115694, 115695, 115696, 115697, 115698,\n", - " 115699, 115700,\n", - " ...\n", - " 115807, 115808, 115809, 115810, 115811, 115812, 115813, 115814,\n", - " 115815, 115816],\n", - " dtype='int64', length=126),\n", - " 13933: Int64Index([115817, 115818, 115819, 115820, 115821, 115822, 115823, 115824,\n", - " 115825, 115826,\n", - " ...\n", - " 115926, 115927, 115928, 115929, 115930, 115931, 115932, 115933,\n", - " 115934, 115935],\n", - " dtype='int64', length=119),\n", - " 13935: Int64Index([115936, 115937, 115938, 115939, 115940, 115941, 115942, 115943,\n", - " 115944, 115945,\n", - " ...\n", - " 116052, 116053, 116054, 116055, 116056, 116057, 116058, 116059,\n", - " 116060, 116061],\n", - " dtype='int64', length=126),\n", - " 13936: Int64Index([116062, 116063, 116064, 116065, 116066, 116067, 116068, 116069,\n", - " 116070, 116071,\n", - " ...\n", - " 116178, 116179, 116180, 116181, 116182, 116183, 116184, 116185,\n", - " 116186, 116187],\n", - " dtype='int64', length=126),\n", - " 13938: Int64Index([116188, 116189, 116190, 116191, 116192, 116193, 116194, 116195,\n", - " 116196, 116197,\n", - " ...\n", - " 116304, 116305, 116306, 116307, 116308, 116309, 116310, 116311,\n", - " 116312, 116313],\n", - " dtype='int64', length=126),\n", - " 13940: Int64Index([116314, 116315, 116316, 116317, 116318, 116319, 116320, 116321,\n", - " 116322, 116323,\n", - " ...\n", - " 116430, 116431, 116432, 116433, 116434, 116435, 116436, 116437,\n", - " 116438, 116439],\n", - " dtype='int64', length=126),\n", - " 13941: Int64Index([116440, 116441, 116442, 116443, 116444, 116445, 116446, 116447,\n", - " 116448, 116449,\n", - " ...\n", - " 116556, 116557, 116558, 116559, 116560, 116561, 116562, 116563,\n", - " 116564, 116565],\n", - " dtype='int64', length=126),\n", - " 13943: Int64Index([116566, 116567, 116568, 116569, 116570, 116571, 116572, 116573,\n", - " 116574, 116575,\n", - " ...\n", - " 116682, 116683, 116684, 116685, 116686, 116687, 116688, 116689,\n", - " 116690, 116691],\n", - " dtype='int64', length=126),\n", - " 13946: Int64Index([116692, 116693, 116694, 116695, 116696, 116697, 116698, 116699,\n", - " 116700, 116701,\n", - " ...\n", - " 116808, 116809, 116810, 116811, 116812, 116813, 116814, 116815,\n", - " 116816, 116817],\n", - " dtype='int64', length=126),\n", - " 13947: Int64Index([116818, 116819, 116820, 116821, 116822, 116823, 116824, 116825,\n", - " 116826, 116827,\n", - " ...\n", - " 116934, 116935, 116936, 116937, 116938, 116939, 116940, 116941,\n", - " 116942, 116943],\n", - " dtype='int64', length=126),\n", - " 13948: Int64Index([116944, 116945, 116946, 116947, 116948, 116949, 116950, 116951,\n", - " 116952, 116953,\n", - " ...\n", - " 117060, 117061, 117062, 117063, 117064, 117065, 117066, 117067,\n", - " 117068, 117069],\n", - " dtype='int64', length=126),\n", - " 13949: Int64Index([117070, 117071, 117072, 117073, 117074, 117075, 117076, 117077,\n", - " 117078, 117079,\n", - " ...\n", - " 117186, 117187, 117188, 117189, 117190, 117191, 117192, 117193,\n", - " 117194, 117195],\n", - " dtype='int64', length=126),\n", - " 13950: Int64Index([117196, 117197, 117198, 117199, 117200, 117201, 117202, 117203,\n", - " 117204, 117205,\n", - " ...\n", - " 117312, 117313, 117314, 117315, 117316, 117317, 117318, 117319,\n", - " 117320, 117321],\n", - " dtype='int64', length=126),\n", - " 13954: Int64Index([117322, 117323, 117324, 117325, 117326, 117327, 117328, 117329,\n", - " 117330, 117331,\n", - " ...\n", - " 117438, 117439, 117440, 117441, 117442, 117443, 117444, 117445,\n", - " 117446, 117447],\n", - " dtype='int64', length=126),\n", - " 13956: Int64Index([117448, 117449, 117450, 117451, 117452, 117453, 117454, 117455,\n", - " 117456, 117457,\n", - " ...\n", - " 117564, 117565, 117566, 117567, 117568, 117569, 117570, 117571,\n", - " 117572, 117573],\n", - " dtype='int64', length=126),\n", - " 13957: Int64Index([117574, 117575, 117576, 117577, 117578, 117579, 117580, 117581,\n", - " 117582, 117583,\n", - " ...\n", - " 117690, 117691, 117692, 117693, 117694, 117695, 117696, 117697,\n", - " 117698, 117699],\n", - " dtype='int64', length=126),\n", - " 13959: Int64Index([117700, 117701, 117702, 117703, 117704, 117705, 117706, 117707,\n", - " 117708, 117709,\n", - " ...\n", - " 117816, 117817, 117818, 117819, 117820, 117821, 117822, 117823,\n", - " 117824, 117825],\n", - " dtype='int64', length=126),\n", - " 13962: Int64Index([117826, 117827, 117828, 117829, 117830, 117831, 117832, 117833,\n", - " 117834, 117835,\n", - " ...\n", - " 117942, 117943, 117944, 117945, 117946, 117947, 117948, 117949,\n", - " 117950, 117951],\n", - " dtype='int64', length=126),\n", - " 13963: Int64Index([117952, 117953, 117954, 117955, 117956, 117957, 117958, 117959,\n", - " 117960, 117961,\n", - " ...\n", - " 118068, 118069, 118070, 118071, 118072, 118073, 118074, 118075,\n", - " 118076, 118077],\n", - " dtype='int64', length=126),\n", - " 13964: Int64Index([118078, 118079, 118080, 118081, 118082, 118083, 118084, 118085,\n", - " 118086, 118087,\n", - " ...\n", - " 118194, 118195, 118196, 118197, 118198, 118199, 118200, 118201,\n", - " 118202, 118203],\n", - " dtype='int64', length=126),\n", - " 13965: Int64Index([118204, 118205, 118206, 118207, 118208, 118209, 118210, 118211,\n", - " 118212, 118213,\n", - " ...\n", - " 118320, 118321, 118322, 118323, 118324, 118325, 118326, 118327,\n", - " 118328, 118329],\n", - " dtype='int64', length=126),\n", - " 13966: Int64Index([118330, 118331, 118332, 118333, 118334, 118335, 118336, 118337,\n", - " 118338, 118339,\n", - " ...\n", - " 118446, 118447, 118448, 118449, 118450, 118451, 118452, 118453,\n", - " 118454, 118455],\n", - " dtype='int64', length=126),\n", - " 13967: Int64Index([118456, 118457, 118458, 118459, 118460, 118461, 118462, 118463,\n", - " 118464, 118465,\n", - " ...\n", - " 118572, 118573, 118574, 118575, 118576, 118577, 118578, 118579,\n", - " 118580, 118581],\n", - " dtype='int64', length=126),\n", - " 13969: Int64Index([118582, 118583, 118584, 118585, 118586, 118587, 118588, 118589,\n", - " 118590, 118591,\n", - " ...\n", - " 118698, 118699, 118700, 118701, 118702, 118703, 118704, 118705,\n", - " 118706, 118707],\n", - " dtype='int64', length=126),\n", - " 13970: Int64Index([118708, 118709, 118710, 118711, 118712, 118713, 118714, 118715,\n", - " 118716, 118717,\n", - " ...\n", - " 118824, 118825, 118826, 118827, 118828, 118829, 118830, 118831,\n", - " 118832, 118833],\n", - " dtype='int64', length=126),\n", - " 13971: Int64Index([118834, 118835, 118836, 118837, 118838, 118839, 118840, 118841,\n", - " 118842, 118843,\n", - " ...\n", - " 118950, 118951, 118952, 118953, 118954, 118955, 118956, 118957,\n", - " 118958, 118959],\n", - " dtype='int64', length=126),\n", - " 13972: Int64Index([118960, 118961, 118962, 118963, 118964, 118965, 118966, 118967,\n", - " 118968, 118969,\n", - " ...\n", - " 119076, 119077, 119078, 119079, 119080, 119081, 119082, 119083,\n", - " 119084, 119085],\n", - " dtype='int64', length=126),\n", - " 13973: Int64Index([119086, 119087, 119088, 119089, 119090, 119091, 119092, 119093,\n", - " 119094, 119095,\n", - " ...\n", - " 119202, 119203, 119204, 119205, 119206, 119207, 119208, 119209,\n", - " 119210, 119211],\n", - " dtype='int64', length=126),\n", - " 13976: Int64Index([119212, 119213, 119214, 119215, 119216, 119217, 119218, 119219,\n", - " 119220, 119221,\n", - " ...\n", - " 119328, 119329, 119330, 119331, 119332, 119333, 119334, 119335,\n", - " 119336, 119337],\n", - " dtype='int64', length=126),\n", - " 13978: Int64Index([119338, 119339, 119340, 119341, 119342, 119343, 119344, 119345,\n", - " 119346, 119347,\n", - " ...\n", - " 119454, 119455, 119456, 119457, 119458, 119459, 119460, 119461,\n", - " 119462, 119463],\n", - " dtype='int64', length=126),\n", - " 13981: Int64Index([119464, 119465, 119466, 119467, 119468, 119469, 119470, 119471,\n", - " 119472, 119473, 119474, 119475, 119476, 119477, 119478, 119479,\n", - " 119480, 119481, 119482, 119483, 119484, 119485, 119486, 119487,\n", - " 119488, 119489, 119490, 119491, 119492, 119493, 119494, 119495,\n", - " 119496, 119497, 119498, 119499, 119500, 119501, 119502, 119503,\n", - " 119504, 119505, 119506, 119507, 119508, 119509, 119510, 119511,\n", - " 119512, 119513, 119514, 119515, 119516, 119517, 119518, 119519,\n", - " 119520, 119521, 119522, 119523, 119524, 119525, 119526, 119527,\n", - " 119528, 119529, 119530, 119531, 119532, 119533, 119534, 119535,\n", - " 119536, 119537, 119538, 119539, 119540, 119541, 119542, 119543,\n", - " 119544, 119545, 119546, 119547, 119548, 119549, 119550, 119551,\n", - " 119552, 119553, 119554, 119555, 119556, 119557, 119558, 119559,\n", - " 119560, 119561, 119562],\n", - " dtype='int64'),\n", - " 13983: Int64Index([119563, 119564, 119565, 119566, 119567, 119568, 119569, 119570,\n", - " 119571, 119572,\n", - " ...\n", - " 119679, 119680, 119681, 119682, 119683, 119684, 119685, 119686,\n", - " 119687, 119688],\n", - " dtype='int64', length=126),\n", - " 13985: Int64Index([119689, 119690, 119691, 119692, 119693, 119694, 119695, 119696,\n", - " 119697, 119698,\n", - " ...\n", - " 119805, 119806, 119807, 119808, 119809, 119810, 119811, 119812,\n", - " 119813, 119814],\n", - " dtype='int64', length=126),\n", - " 13987: Int64Index([119815, 119816, 119817, 119818, 119819, 119820, 119821, 119822,\n", - " 119823, 119824,\n", - " ...\n", - " 119931, 119932, 119933, 119934, 119935, 119936, 119937, 119938,\n", - " 119939, 119940],\n", - " dtype='int64', length=126),\n", - " 13989: Int64Index([119941, 119942, 119943, 119944, 119945, 119946, 119947, 119948,\n", - " 119949, 119950,\n", - " ...\n", - " 120057, 120058, 120059, 120060, 120061, 120062, 120063, 120064,\n", - " 120065, 120066],\n", - " dtype='int64', length=126),\n", - " 13990: Int64Index([120067, 120068, 120069, 120070, 120071, 120072, 120073, 120074,\n", - " 120075, 120076,\n", - " ...\n", - " 120183, 120184, 120185, 120186, 120187, 120188, 120189, 120190,\n", - " 120191, 120192],\n", - " dtype='int64', length=126),\n", - " 13993: Int64Index([120193, 120194, 120195, 120196, 120197, 120198, 120199, 120200,\n", - " 120201, 120202,\n", - " ...\n", - " 120309, 120310, 120311, 120312, 120313, 120314, 120315, 120316,\n", - " 120317, 120318],\n", - " dtype='int64', length=126),\n", - " 13994: Int64Index([120319, 120320, 120321, 120322, 120323, 120324, 120325, 120326,\n", - " 120327, 120328,\n", - " ...\n", - " 120435, 120436, 120437, 120438, 120439, 120440, 120441, 120442,\n", - " 120443, 120444],\n", - " dtype='int64', length=126),\n", - " 13997: Int64Index([120445, 120446, 120447, 120448, 120449, 120450, 120451, 120452,\n", - " 120453, 120454,\n", - " ...\n", - " 120561, 120562, 120563, 120564, 120565, 120566, 120567, 120568,\n", - " 120569, 120570],\n", - " dtype='int64', length=126),\n", - " 13999: Int64Index([120571, 120572, 120573, 120574, 120575, 120576, 120577, 120578,\n", - " 120579, 120580,\n", - " ...\n", - " 120687, 120688, 120689, 120690, 120691, 120692, 120693, 120694,\n", - " 120695, 120696],\n", - " dtype='int64', length=126),\n", - " 14000: Int64Index([120697, 120698, 120699, 120700, 120701, 120702, 120703, 120704,\n", - " 120705, 120706,\n", - " ...\n", - " 120813, 120814, 120815, 120816, 120817, 120818, 120819, 120820,\n", - " 120821, 120822],\n", - " dtype='int64', length=126),\n", - " 14002: Int64Index([120823, 120824, 120825, 120826, 120827, 120828, 120829, 120830,\n", - " 120831, 120832,\n", - " ...\n", - " 120939, 120940, 120941, 120942, 120943, 120944, 120945, 120946,\n", - " 120947, 120948],\n", - " dtype='int64', length=126),\n", - " 14003: Int64Index([120949, 120950, 120951, 120952, 120953, 120954, 120955, 120956,\n", - " 120957, 120958,\n", - " ...\n", - " 121065, 121066, 121067, 121068, 121069, 121070, 121071, 121072,\n", - " 121073, 121074],\n", - " dtype='int64', length=126),\n", - " 14006: Int64Index([121075, 121076, 121077, 121078, 121079, 121080, 121081, 121082,\n", - " 121083, 121084,\n", - " ...\n", - " 121191, 121192, 121193, 121194, 121195, 121196, 121197, 121198,\n", - " 121199, 121200],\n", - " dtype='int64', length=126),\n", - " 14008: Int64Index([121201, 121202, 121203, 121204, 121205, 121206, 121207, 121208,\n", - " 121209, 121210,\n", - " ...\n", - " 121317, 121318, 121319, 121320, 121321, 121322, 121323, 121324,\n", - " 121325, 121326],\n", - " dtype='int64', length=126),\n", - " 14009: Int64Index([121327, 121328, 121329, 121330, 121331, 121332, 121333, 121334,\n", - " 121335, 121336,\n", - " ...\n", - " 121443, 121444, 121445, 121446, 121447, 121448, 121449, 121450,\n", - " 121451, 121452],\n", - " dtype='int64', length=126),\n", - " 14010: Int64Index([121453, 121454, 121455, 121456, 121457, 121458, 121459, 121460,\n", - " 121461, 121462,\n", - " ...\n", - " 121569, 121570, 121571, 121572, 121573, 121574, 121575, 121576,\n", - " 121577, 121578],\n", - " dtype='int64', length=126),\n", - " 14011: Int64Index([121579, 121580, 121581, 121582, 121583, 121584, 121585, 121586,\n", - " 121587, 121588,\n", - " ...\n", - " 121695, 121696, 121697, 121698, 121699, 121700, 121701, 121702,\n", - " 121703, 121704],\n", - " dtype='int64', length=126),\n", - " 14019: Int64Index([121705, 121706, 121707, 121708, 121709, 121710, 121711, 121712,\n", - " 121713, 121714,\n", - " ...\n", - " 121821, 121822, 121823, 121824, 121825, 121826, 121827, 121828,\n", - " 121829, 121830],\n", - " dtype='int64', length=126),\n", - " 14020: Int64Index([121831, 121832, 121833, 121834, 121835, 121836, 121837, 121838,\n", - " 121839, 121840,\n", - " ...\n", - " 121947, 121948, 121949, 121950, 121951, 121952, 121953, 121954,\n", - " 121955, 121956],\n", - " dtype='int64', length=126),\n", - " 14023: Int64Index([121957, 121958, 121959, 121960, 121961, 121962, 121963, 121964,\n", - " 121965, 121966,\n", - " ...\n", - " 122073, 122074, 122075, 122076, 122077, 122078, 122079, 122080,\n", - " 122081, 122082],\n", - " dtype='int64', length=126),\n", - " 14025: Int64Index([122083, 122084, 122085, 122086, 122087, 122088, 122089, 122090,\n", - " 122091, 122092,\n", - " ...\n", - " 122199, 122200, 122201, 122202, 122203, 122204, 122205, 122206,\n", - " 122207, 122208],\n", - " dtype='int64', length=126),\n", - " 14026: Int64Index([122209, 122210, 122211, 122212, 122213, 122214, 122215, 122216,\n", - " 122217, 122218,\n", - " ...\n", - " 122302, 122303, 122304, 122305, 122306, 122307, 122308, 122309,\n", - " 122310, 122311],\n", - " dtype='int64', length=103),\n", - " 14027: Int64Index([122312, 122313, 122314, 122315, 122316, 122317, 122318, 122319,\n", - " 122320, 122321,\n", - " ...\n", - " 122428, 122429, 122430, 122431, 122432, 122433, 122434, 122435,\n", - " 122436, 122437],\n", - " dtype='int64', length=126),\n", - " 14028: Int64Index([122438, 122439, 122440, 122441, 122442, 122443, 122444, 122445,\n", - " 122446, 122447,\n", - " ...\n", - " 122554, 122555, 122556, 122557, 122558, 122559, 122560, 122561,\n", - " 122562, 122563],\n", - " dtype='int64', length=126),\n", - " 14030: Int64Index([122564, 122565, 122566, 122567, 122568, 122569, 122570, 122571,\n", - " 122572, 122573,\n", - " ...\n", - " 122680, 122681, 122682, 122683, 122684, 122685, 122686, 122687,\n", - " 122688, 122689],\n", - " dtype='int64', length=126),\n", - " 14033: Int64Index([122690, 122691, 122692, 122693, 122694, 122695, 122696, 122697,\n", - " 122698, 122699,\n", - " ...\n", - " 122806, 122807, 122808, 122809, 122810, 122811, 122812, 122813,\n", - " 122814, 122815],\n", - " dtype='int64', length=126),\n", - " 14034: Int64Index([122816, 122817, 122818, 122819, 122820, 122821, 122822, 122823,\n", - " 122824, 122825,\n", - " ...\n", - " 122932, 122933, 122934, 122935, 122936, 122937, 122938, 122939,\n", - " 122940, 122941],\n", - " dtype='int64', length=126),\n", - " 14035: Int64Index([122942, 122943, 122944, 122945, 122946, 122947, 122948, 122949,\n", - " 122950, 122951,\n", - " ...\n", - " 123058, 123059, 123060, 123061, 123062, 123063, 123064, 123065,\n", - " 123066, 123067],\n", - " dtype='int64', length=126),\n", - " 14036: Int64Index([123068, 123069, 123070, 123071, 123072, 123073, 123074, 123075,\n", - " 123076, 123077,\n", - " ...\n", - " 123184, 123185, 123186, 123187, 123188, 123189, 123190, 123191,\n", - " 123192, 123193],\n", - " dtype='int64', length=126),\n", - " 14037: Int64Index([123194, 123195, 123196, 123197, 123198, 123199, 123200, 123201,\n", - " 123202, 123203,\n", - " ...\n", - " 123310, 123311, 123312, 123313, 123314, 123315, 123316, 123317,\n", - " 123318, 123319],\n", - " dtype='int64', length=126),\n", - " 14038: Int64Index([123320, 123321, 123322, 123323, 123324, 123325, 123326, 123327,\n", - " 123328, 123329,\n", - " ...\n", - " 123436, 123437, 123438, 123439, 123440, 123441, 123442, 123443,\n", - " 123444, 123445],\n", - " dtype='int64', length=126),\n", - " 14039: Int64Index([123446, 123447, 123448, 123449, 123450, 123451, 123452, 123453,\n", - " 123454, 123455,\n", - " ...\n", - " 123562, 123563, 123564, 123565, 123566, 123567, 123568, 123569,\n", - " 123570, 123571],\n", - " dtype='int64', length=126),\n", - " 14040: Int64Index([123572, 123573, 123574, 123575, 123576, 123577, 123578, 123579,\n", - " 123580, 123581,\n", - " ...\n", - " 123688, 123689, 123690, 123691, 123692, 123693, 123694, 123695,\n", - " 123696, 123697],\n", - " dtype='int64', length=126),\n", - " 14044: Int64Index([123698, 123699, 123700, 123701, 123702, 123703, 123704, 123705,\n", - " 123706, 123707,\n", - " ...\n", - " 123814, 123815, 123816, 123817, 123818, 123819, 123820, 123821,\n", - " 123822, 123823],\n", - " dtype='int64', length=126),\n", - " 14045: Int64Index([123824, 123825, 123826, 123827, 123828, 123829, 123830, 123831,\n", - " 123832, 123833,\n", - " ...\n", - " 123940, 123941, 123942, 123943, 123944, 123945, 123946, 123947,\n", - " 123948, 123949],\n", - " dtype='int64', length=126),\n", - " 14046: Int64Index([123950, 123951, 123952, 123953, 123954, 123955, 123956, 123957,\n", - " 123958, 123959,\n", - " ...\n", - " 124066, 124067, 124068, 124069, 124070, 124071, 124072, 124073,\n", - " 124074, 124075],\n", - " dtype='int64', length=126),\n", - " ...}" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "\n", - "StockData = Stock_data.groupby(['公司编号'])\n", - "\n", - "display(StockData.groups)" + "StockData = Stock_data.groupby(['公司编号'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "现在我们获取第一个公司" + "现在我们其中一个公司，因为其实对于不同公司来说，股价的预测可能是不一样的。 \n", + "而且，数据量太大，运行起来太慢。" ] }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 13, "metadata": { "ExecuteTime": { - "end_time": "2020-06-30T07:12:02.281633Z", - "start_time": "2020-06-30T07:12:02.246725Z" + "end_time": "2020-06-30T13:03:59.063322Z", + "start_time": "2020-06-30T13:03:58.857868Z" } }, "outputs": [ @@ -7503,59 +1933,59 @@ " \n", " \n", " \n", - " 0\n", - " 10026\n", + " 500578\n", + " 53613\n", " 2018-07-02\n", - " JJSF\n", - " 150.70000\n", - " 153.27499\n", - " 152.92000\n", - " 100388.0\n", - " 152.17999\n", + " MU\n", + " 51.32\n", + " 54.5300\n", + " 54.48\n", + " 38915998.0\n", + " 51.52\n", " \n", " \n", - " 1\n", - " 10026\n", + " 500579\n", + " 53613\n", " 2018-07-03\n", - " JJSF\n", - " 151.35001\n", - " 153.73000\n", - " 153.32001\n", - " 55547.0\n", - " 153.67000\n", + " MU\n", + " 50.10\n", + " 54.7900\n", + " 51.48\n", + " 52179035.0\n", + " 54.55\n", " \n", " \n", - " 2\n", - " 10026\n", + " 500580\n", + " 53613\n", " 2018-07-05\n", - " JJSF\n", - " 152.46001\n", - " 156.00000\n", - " 155.81000\n", - " 199370.0\n", - " 153.95000\n", + " MU\n", + " 51.94\n", + " 53.3100\n", + " 52.84\n", + " 51116248.0\n", + " 52.85\n", " \n", " \n", - " 3\n", - " 10026\n", + " 500581\n", + " 53613\n", " 2018-07-06\n", - " JJSF\n", - " 154.80000\n", - " 158.44000\n", - " 158.42999\n", - " 127431.0\n", - " 156.00000\n", + " MU\n", + " 51.98\n", + " 53.4100\n", + " 53.23\n", + " 31831420.0\n", + " 52.54\n", " \n", " \n", - " 4\n", - " 10026\n", + " 500582\n", + " 53613\n", " 2018-07-09\n", - " JJSF\n", - " 154.44000\n", - " 159.05000\n", - " 154.53000\n", - " 97661.0\n", - " 158.60001\n", + " MU\n", + " 53.11\n", + " 54.5000\n", + " 54.31\n", + " 32561338.0\n", + " 53.80\n", " \n", " \n", " ...\n", @@ -7569,59 +1999,59 @@ " ...\n", " \n", " \n", - " 121\n", - " 10026\n", + " 500699\n", + " 53613\n", " 2018-12-24\n", - " JJSF\n", - " 140.67999\n", - " 143.72000\n", - " 140.67999\n", - " 44845.0\n", - " 141.81000\n", + " MU\n", + " 29.00\n", + " 30.3500\n", + " 29.02\n", + " 23995373.0\n", + " 29.86\n", " \n", " \n", - " 122\n", - " 10026\n", + " 500700\n", + " 53613\n", " 2018-12-26\n", - " JJSF\n", - " 138.64999\n", - " 144.17999\n", - " 143.42000\n", - " 51748.0\n", - " 140.95000\n", + " MU\n", + " 28.39\n", + " 30.9100\n", + " 30.89\n", + " 45697474.0\n", + " 29.34\n", " \n", " \n", - " 123\n", - " 10026\n", + " 500701\n", + " 53613\n", " 2018-12-27\n", - " JJSF\n", - " 140.00999\n", - " 144.63000\n", - " 144.63000\n", - " 72017.0\n", - " 142.63000\n", + " MU\n", + " 30.23\n", + " 32.0100\n", + " 31.93\n", + " 39864916.0\n", + " 30.41\n", " \n", " \n", - " 124\n", - " 10026\n", + " 500702\n", + " 53613\n", " 2018-12-28\n", - " JJSF\n", - " 141.10001\n", - " 147.66499\n", - " 142.92999\n", - " 62322.0\n", - " 145.10001\n", + " MU\n", + " 31.40\n", + " 32.2785\n", + " 31.57\n", + " 29849028.0\n", + " 32.00\n", " \n", " \n", - " 125\n", - " 10026\n", + " 500703\n", + " 53613\n", " 2018-12-31\n", - " JJSF\n", - " 141.72000\n", - " 145.23500\n", - " 144.59000\n", - " 64935.0\n", - " 143.52000\n", + " MU\n", + " 31.46\n", + " 32.4000\n", + " 31.73\n", + " 21390910.0\n", + " 31.99\n", " \n", " \n", "\n", @@ -7629,72 +2059,100 @@ "" ], "text/plain": [ - " 公司编号 日期 公司简写 最低价 最高价 收盘价 成交量 \\\n", - "0 10026 2018-07-02 JJSF 150.70000 153.27499 152.92000 100388.0 \n", - "1 10026 2018-07-03 JJSF 151.35001 153.73000 153.32001 55547.0 \n", - "2 10026 2018-07-05 JJSF 152.46001 156.00000 155.81000 199370.0 \n", - "3 10026 2018-07-06 JJSF 154.80000 158.44000 158.42999 127431.0 \n", - "4 10026 2018-07-09 JJSF 154.44000 159.05000 154.53000 97661.0 \n", - ".. ... ... ... ... ... ... ... \n", - "121 10026 2018-12-24 JJSF 140.67999 143.72000 140.67999 44845.0 \n", - "122 10026 2018-12-26 JJSF 138.64999 144.17999 143.42000 51748.0 \n", - "123 10026 2018-12-27 JJSF 140.00999 144.63000 144.63000 72017.0 \n", - "124 10026 2018-12-28 JJSF 141.10001 147.66499 142.92999 62322.0 \n", - "125 10026 2018-12-31 JJSF 141.72000 145.23500 144.59000 64935.0 \n", - "\n", - " 开盘价 \n", - "0 152.17999 \n", - "1 153.67000 \n", - "2 153.95000 \n", - "3 156.00000 \n", - "4 158.60001 \n", - ".. ... \n", - "121 141.81000 \n", - "122 140.95000 \n", - "123 142.63000 \n", - "124 145.10001 \n", - "125 143.52000 \n", + " 公司编号 日期 公司简写 最低价 最高价 收盘价 成交量 开盘价\n", + "500578 53613 2018-07-02 MU 51.32 54.5300 54.48 38915998.0 51.52\n", + "500579 53613 2018-07-03 MU 50.10 54.7900 51.48 52179035.0 54.55\n", + "500580 53613 2018-07-05 MU 51.94 53.3100 52.84 51116248.0 52.85\n", + "500581 53613 2018-07-06 MU 51.98 53.4100 53.23 31831420.0 52.54\n", + "500582 53613 2018-07-09 MU 53.11 54.5000 54.31 32561338.0 53.80\n", + "... ... ... ... ... ... ... ... ...\n", + "500699 53613 2018-12-24 MU 29.00 30.3500 29.02 23995373.0 29.86\n", + "500700 53613 2018-12-26 MU 28.39 30.9100 30.89 45697474.0 29.34\n", + "500701 53613 2018-12-27 MU 30.23 32.0100 31.93 39864916.0 30.41\n", + "500702 53613 2018-12-28 MU 31.40 32.2785 31.57 29849028.0 32.00\n", + "500703 53613 2018-12-31 MU 31.46 32.4000 31.73 21390910.0 31.99\n", "\n", "[126 rows x 8 columns]" ] }, - "execution_count": 69, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# 所有公司编号\n", - "Company_num = list(dict(StockData.groups).keys())\n", + "Company_test = Stock_data[Stock_data[\"公司简写\"] == \"MU\"]\n", "\n", - "the_first_company = Company_num[0]\n", - "\n", - "Company1 = Stock_data[Stock_data[\"公司编号\"] == the_first_company]\n", - "\n", - "Company1" + "Company_test" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "### 3.1.1 成交量绘图" + "### 3.1.1 成交量绘图\n", + "这里我们绘制MU公司的成交量折线图。" ] }, { "cell_type": "code", - "execution_count": 82, + "execution_count": 14, "metadata": { "ExecuteTime": { - "end_time": "2020-06-30T07:20:02.002819Z", - "start_time": "2020-06-30T07:20:01.849189Z" + "end_time": "2020-06-30T13:03:59.555005Z", + "start_time": "2020-06-30T13:03:59.068307Z" }, "scrolled": true }, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"] # 用来正常显示中文标签\n", + "plt.rcParams[\"axes.unicode_minus\"] = False # 用来正常显示负号\n", + "\n", + "plt.figure(figsize=(15, 3))\n", + "\n", + "plt.plot(Company_test[\"日期\"], Company_test[\"成交量\"])\n", + "plt.title(\"成交量绘图\") # 图名\n", + "plt.xlabel(\"日期\") # x轴标签\n", + "plt.ylabel(\"成交量\") # y轴标签\n", + "plt.tick_params(axis='both') # x,y轴都有刻度\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3.1.2 收盘价绘图\n", + "这里我们绘制MU公司的收盘价折线图。" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:03:59.902075Z", + "start_time": "2020-06-30T13:03:59.558994Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" ] @@ -7706,16 +2164,16 @@ } ], "source": [ - "plt.rcParams[\"font.sans-serif\"]=[\"SimHei\"] #用来正常显示中文标签\n", - "plt.rcParams[\"axes.unicode_minus\"]=False #用来正常显示负号\n", + "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"] # 用来正常显示中文标签\n", + "plt.rcParams[\"axes.unicode_minus\"] = False # 用来正常显示负号\n", "\n", "plt.figure(figsize=(15, 3))\n", "\n", - "plt.plot(Company1[\"日期\"],Company1[\"成交量\"])\n", - "plt.title(\"成交量绘图\") #图名\n", - "plt.xlabel(\"日期\")#x轴标签\n", - "plt.ylabel(\"成交量\")#y轴标签\n", - "plt.tick_params(axis='both')#x,y轴都有刻度\n", + "plt.plot(Company_test[\"日期\"], Company_test[\"收盘价\"])\n", + "plt.title(\"成交量绘图\") # 图名\n", + "plt.xlabel(\"日期\") # x轴标签\n", + "plt.ylabel(\"收盘价\") # y轴标签\n", + "plt.tick_params(axis='both') # x,y轴都有刻度\n", "plt.show()" ] }, @@ -7723,22 +2181,3216 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### 3.1.2 收盘价绘图" + "### 3.1.3 收盘价*成交量绘图" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 四、有效数据整合" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "在最终的的数据里，已经最后用于分析的模型中，我们将会用到`帖子评论数`和`论坛评论数`来进行最终结果的预测。 \n", + "所以在这里，我们新增两行来存贮这些数据。" ] }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 16, "metadata": { "ExecuteTime": { - "end_time": "2020-06-30T07:22:27.846361Z", - "start_time": "2020-06-30T07:22:27.696762Z" + "end_time": "2020-06-30T13:03:59.946954Z", + "start_time": "2020-06-30T13:03:59.905068Z" } }, "outputs": [ { "data": { - "image/png": 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4100262018-07-09JJSF154.44000159.05000154.5300097661.0158.6000100
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" + ], + "text/plain": [ + " 公司编号 日期 公司简写 最低价 最高价 收盘价 成交量 \\\n", + "0 10026 2018-07-02 JJSF 150.70000 153.27499 152.92000 100388.0 \n", + "1 10026 2018-07-03 JJSF 151.35001 153.73000 153.32001 55547.0 \n", + "2 10026 2018-07-05 JJSF 152.46001 156.00000 155.81000 199370.0 \n", + "3 10026 2018-07-06 JJSF 154.80000 158.44000 158.42999 127431.0 \n", + "4 10026 2018-07-09 JJSF 154.44000 159.05000 154.53000 97661.0 \n", + "\n", + " 开盘价 帖子评论数 论坛评论数 \n", + "0 152.17999 0 0 \n", + "1 153.67000 0 0 \n", + "2 153.95000 0 0 \n", + "3 156.00000 0 0 \n", + "4 158.60001 0 0 " + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Stock_data['帖子评论数'] = 0\n", + "Stock_data['论坛评论数'] = 0\n", + "Stock_data.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T07:38:46.466173Z", + "start_time": "2020-06-30T07:38:46.460189Z" + } + }, + "source": [ + "每个公司对应帖子的评论数和论坛的评论数整合。 \n", + "这里只对一家公司做测试，因为数据集太大了。" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:00.173385Z", + "start_time": "2020-06-30T13:03:59.948949Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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公司编号日期公司简写最低价最高价收盘价成交量开盘价帖子评论数论坛评论数
500578536132018-07-02MU51.3254.530054.4838915998.051.5200
500579536132018-07-03MU50.1054.790051.4852179035.054.5500
500580536132018-07-05MU51.9453.310052.8451116248.052.8500
500581536132018-07-06MU51.9853.410053.2331831420.052.5400
500582536132018-07-09MU53.1154.500054.3132561338.053.8000
.................................
500699536132018-12-24MU29.0030.350029.0223995373.029.8600
500700536132018-12-26MU28.3930.910030.8945697474.029.3400
500701536132018-12-27MU30.2332.010031.9339864916.030.4100
500702536132018-12-28MU31.4032.278531.5729849028.032.0000
500703536132018-12-31MU31.4632.400031.7321390910.031.9900
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126 rows × 10 columns

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" + ], + "text/plain": [ + " 公司编号 日期 公司简写 最低价 最高价 收盘价 成交量 开盘价 \\\n", + "500578 53613 2018-07-02 MU 51.32 54.5300 54.48 38915998.0 51.52 \n", + "500579 53613 2018-07-03 MU 50.10 54.7900 51.48 52179035.0 54.55 \n", + "500580 53613 2018-07-05 MU 51.94 53.3100 52.84 51116248.0 52.85 \n", + "500581 53613 2018-07-06 MU 51.98 53.4100 53.23 31831420.0 52.54 \n", + "500582 53613 2018-07-09 MU 53.11 54.5000 54.31 32561338.0 53.80 \n", + "... ... ... ... ... ... ... ... ... \n", + "500699 53613 2018-12-24 MU 29.00 30.3500 29.02 23995373.0 29.86 \n", + "500700 53613 2018-12-26 MU 28.39 30.9100 30.89 45697474.0 29.34 \n", + "500701 53613 2018-12-27 MU 30.23 32.0100 31.93 39864916.0 30.41 \n", + "500702 53613 2018-12-28 MU 31.40 32.2785 31.57 29849028.0 32.00 \n", + "500703 53613 2018-12-31 MU 31.46 32.4000 31.73 21390910.0 31.99 \n", + "\n", + " 帖子评论数 论坛评论数 \n", + "500578 0 0 \n", + "500579 0 0 \n", + "500580 0 0 \n", + "500581 0 0 \n", + "500582 0 0 \n", + "... ... ... \n", + "500699 0 0 \n", + "500700 0 0 \n", + "500701 0 0 \n", + "500702 0 0 \n", + "500703 0 0 \n", + "\n", + "[126 rows x 10 columns]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Company_test = Stock_data[Stock_data[\"公司简写\"] == \"MU\"]\n", + "\n", + "# 按照时间排序\n", + "Company_test = Company_test.sort_values(by='日期')\n", + "\n", + "Company_test" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "现在找出所有对应的帖子。 \n", + "此处的对应指的是公司和发布时间相对应。" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:00.226243Z", + "start_time": "2020-06-30T13:04:00.177376Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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标题作者评论数摘要针对公司发布时间
Micron Technology: Insanely Cheap Stock Given Its High Earnings QualityMicron Technology: Insanely Cheap Stock Given ...Ruerd Heeg75SummaryLast year, a combination of relatively ...MU2018-12-31
Micron Earnings Review: Free Cash Flow Yield Is 24%, Capital Discipline Is At HandMicron Earnings Review: Free Cash Flow Yield I...Brian Gilmartin, CFA72SummaryEPS estimates have fallen sharply after...MU2018-12-30
Micron's Trajectory After The Q1 2019 Earnings ReleaseMicron's Trajectory After The Q1 2019 Earnings...Jeffery Margolf27SummaryMicron collapsed in the second half of ...MU2018-12-27
Micron: A Major Opportunity Trading At Book ValueMicron: A Major Opportunity Trading At Book ValueLyn Alden Schwartzer205SummaryMicron Technology is now trading just a...MU2018-12-27
Micron: This Ain't 2016Micron: This Ain't 2016Billy Duberstein118SummaryIt looks as if Micron is undergoing its...MU2018-12-26
.....................
Murphy Oil Falls Despite Strong Q2 ResultsMurphy Oil Falls Despite Strong Q2 ResultsLeo Nelissen8SummaryMurphy Oil beat both sales and EPS esti...MUR2018-08-10
Micron: Sky-High Price Targets Justified?Micron: Sky-High Price Targets Justified?Khaveen Jeyaratnam267SummaryMicron’s price targets have been held a...MU2018-08-09
Micron: A Bad Beat PerspectiveMicron: A Bad Beat PerspectiveQuad 7 Capital364SummaryWe recently made a short-term trade in ...MU2018-08-02
Micron: Among The Best Bargains In MemoryMicron: Among The Best Bargains In MemoryRussell Naisbitt311SummaryCurrently mired in the low $50’s, Micro...MU2018-07-31
Micron's Multiple Expansion Should Drive Stock Much HigherMicron's Multiple Expansion Should Drive Stock...Victor Dergunov131SummaryDespite the nearly 100% run-up over the...MU2018-07-29
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" + ], + "text/plain": [ + " 标题 \\\n", + "Micron Technology: Insanely Cheap Stock Given I... Micron Technology: Insanely Cheap Stock Given ... \n", + "Micron Earnings Review: Free Cash Flow Yield Is... Micron Earnings Review: Free Cash Flow Yield I... \n", + "Micron's Trajectory After The Q1 2019 Earnings ... Micron's Trajectory After The Q1 2019 Earnings... \n", + "Micron: A Major Opportunity Trading At Book Value Micron: A Major Opportunity Trading At Book Value \n", + "Micron: This Ain't 2016 Micron: This Ain't 2016 \n", + "... ... \n", + "Murphy Oil Falls Despite Strong Q2 Results Murphy Oil Falls Despite Strong Q2 Results \n", + "Micron: Sky-High Price Targets Justified? Micron: Sky-High Price Targets Justified? \n", + "Micron: A Bad Beat Perspective Micron: A Bad Beat Perspective \n", + "Micron: Among The Best Bargains In Memory Micron: Among The Best Bargains In Memory \n", + "Micron's Multiple Expansion Should Drive Stock ... Micron's Multiple Expansion Should Drive Stock... \n", + "\n", + " 作者 \\\n", + "Micron Technology: Insanely Cheap Stock Given I... Ruerd Heeg \n", + "Micron Earnings Review: Free Cash Flow Yield Is... Brian Gilmartin, CFA \n", + "Micron's Trajectory After The Q1 2019 Earnings ... Jeffery Margolf \n", + "Micron: A Major Opportunity Trading At Book Value Lyn Alden Schwartzer \n", + "Micron: This Ain't 2016 Billy Duberstein \n", + "... ... \n", + "Murphy Oil Falls Despite Strong Q2 Results Leo Nelissen \n", + "Micron: Sky-High Price Targets Justified? Khaveen Jeyaratnam \n", + "Micron: A Bad Beat Perspective Quad 7 Capital \n", + "Micron: Among The Best Bargains In Memory Russell Naisbitt \n", + "Micron's Multiple Expansion Should Drive Stock ... Victor Dergunov \n", + "\n", + " 评论数 \\\n", + "Micron Technology: Insanely Cheap Stock Given I... 75 \n", + "Micron Earnings Review: Free Cash Flow Yield Is... 72 \n", + "Micron's Trajectory After The Q1 2019 Earnings ... 27 \n", + "Micron: A Major Opportunity Trading At Book Value 205 \n", + "Micron: This Ain't 2016 118 \n", + "... ... \n", + "Murphy Oil Falls Despite Strong Q2 Results 8 \n", + "Micron: Sky-High Price Targets Justified? 267 \n", + "Micron: A Bad Beat Perspective 364 \n", + "Micron: Among The Best Bargains In Memory 311 \n", + "Micron's Multiple Expansion Should Drive Stock ... 131 \n", + "\n", + " 摘要 \\\n", + "Micron Technology: Insanely Cheap Stock Given I... SummaryLast year, a combination of relatively ... \n", + "Micron Earnings Review: Free Cash Flow Yield Is... SummaryEPS estimates have fallen sharply after... \n", + "Micron's Trajectory After The Q1 2019 Earnings ... SummaryMicron collapsed in the second half of ... \n", + "Micron: A Major Opportunity Trading At Book Value SummaryMicron Technology is now trading just a... \n", + "Micron: This Ain't 2016 SummaryIt looks as if Micron is undergoing its... \n", + "... ... \n", + "Murphy Oil Falls Despite Strong Q2 Results SummaryMurphy Oil beat both sales and EPS esti... \n", + "Micron: Sky-High Price Targets Justified? SummaryMicron’s price targets have been held a... \n", + "Micron: A Bad Beat Perspective SummaryWe recently made a short-term trade in ... \n", + "Micron: Among The Best Bargains In Memory SummaryCurrently mired in the low $50’s, Micro... \n", + "Micron's Multiple Expansion Should Drive Stock ... SummaryDespite the nearly 100% run-up over the... \n", + "\n", + " 针对公司 发布时间 \n", + "Micron Technology: Insanely Cheap Stock Given I... MU 2018-12-31 \n", + "Micron Earnings Review: Free Cash Flow Yield Is... MU 2018-12-30 \n", + "Micron's Trajectory After The Q1 2019 Earnings ... MU 2018-12-27 \n", + "Micron: A Major Opportunity Trading At Book Value MU 2018-12-27 \n", + "Micron: This Ain't 2016 MU 2018-12-26 \n", + "... ... ... \n", + "Murphy Oil Falls Despite Strong Q2 Results MUR 2018-08-10 \n", + "Micron: Sky-High Price Targets Justified? MU 2018-08-09 \n", + "Micron: A Bad Beat Perspective MU 2018-08-02 \n", + "Micron: Among The Best Bargains In Memory MU 2018-07-31 \n", + "Micron's Multiple Expansion Should Drive Stock ... MU 2018-07-29 \n", + "\n", + "[85 rows x 6 columns]" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "MU_Passage = Title_Content_data[Title_Content_data[\"针对公司\"].str.contains(\"MU\")]\n", + "\n", + "MU_Passage" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T12:12:45.686910Z", + "start_time": "2020-06-30T12:12:45.680961Z" + } + }, + "source": [ + "找出所有对应帖子后，我们增加相应的评论数。 \n", + "下面是我们操作完毕的结果。" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:00.764803Z", + "start_time": "2020-06-30T13:04:00.230235Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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公司编号日期公司简写最低价最高价收盘价成交量开盘价帖子评论数论坛评论数
500578536132018-07-02MU51.3254.530054.4838915998.051.5200
500579536132018-07-03MU50.1054.790051.4852179035.054.5500
500580536132018-07-05MU51.9453.310052.8451116248.052.8500
500581536132018-07-06MU51.9853.410053.2331831420.052.5400
500582536132018-07-09MU53.1154.500054.3132561338.053.8000
.................................
500699536132018-12-24MU29.0030.350029.0223995373.029.8600
500700536132018-12-26MU28.3930.910030.8945697474.029.341180
500701536132018-12-27MU30.2332.010031.9339864916.030.412320
500702536132018-12-28MU31.4032.278531.5729849028.032.0000
500703536132018-12-31MU31.4632.400031.7321390910.031.99750
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" + ], + "text/plain": [ + " 公司编号 日期 公司简写 最低价 最高价 收盘价 成交量 开盘价 \\\n", + "500578 53613 2018-07-02 MU 51.32 54.5300 54.48 38915998.0 51.52 \n", + "500579 53613 2018-07-03 MU 50.10 54.7900 51.48 52179035.0 54.55 \n", + "500580 53613 2018-07-05 MU 51.94 53.3100 52.84 51116248.0 52.85 \n", + "500581 53613 2018-07-06 MU 51.98 53.4100 53.23 31831420.0 52.54 \n", + "500582 53613 2018-07-09 MU 53.11 54.5000 54.31 32561338.0 53.80 \n", + "... ... ... ... ... ... ... ... ... \n", + "500699 53613 2018-12-24 MU 29.00 30.3500 29.02 23995373.0 29.86 \n", + "500700 53613 2018-12-26 MU 28.39 30.9100 30.89 45697474.0 29.34 \n", + "500701 53613 2018-12-27 MU 30.23 32.0100 31.93 39864916.0 30.41 \n", + "500702 53613 2018-12-28 MU 31.40 32.2785 31.57 29849028.0 32.00 \n", + "500703 53613 2018-12-31 MU 31.46 32.4000 31.73 21390910.0 31.99 \n", + "\n", + " 帖子评论数 论坛评论数 \n", + "500578 0 0 \n", + "500579 0 0 \n", + "500580 0 0 \n", + "500581 0 0 \n", + "500582 0 0 \n", + "... ... ... \n", + "500699 0 0 \n", + "500700 118 0 \n", + "500701 232 0 \n", + "500702 0 0 \n", + "500703 75 0 \n", + "\n", + "[126 rows x 10 columns]" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def AddCount(r):\n", + " row = MU_Passage.loc[(MU_Passage[\"针对公司\"] == r[\"公司简写\"])\n", + " & (MU_Passage[\"发布时间\"] == r[\"日期\"])]\n", + " count = int(r[\"帖子评论数\"])\n", + " for rr in row.itertuples():\n", + " count += int(getattr(rr, '评论数'))\n", + " return count\n", + "\n", + "\n", + "Company_test[\"帖子评论数\"] = Company_test[['帖子评论数', '公司简写', '日期']].apply(\n", + " lambda x: AddCount(x), axis=1)\n", + "\n", + "Company_test" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "接下来处理论坛评论，操作方法和上面一致。" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:00.808688Z", + "start_time": "2020-06-30T13:04:00.768793Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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作者发帖日期帖子内容公司
53Sunil Shah2018-12-30$MU The latter proposals include cracking down...MU
117Sunil Shah2018-12-28$MUCheck the OBV min by min for last 3 days.Th...MU
124Sunil Shah2018-12-28$MU last chance to get on board before MASSIVE...MU
225Sunil Shah2018-12-26$MU Did I say 24 dec was the low.WELL it's tod...MU
330Sunil Shah2018-12-24$MU @RogerSach @floridahockey @Natecrk6 @Ian C...MU
...............
24323Vertical Spread2018-01-09Back into 2018 Long term Call Spreads, $MU, $N...MU
24391GarethSoloway2018-01-09Sold $MU scalp at $43.88 from entry of $43.57 ...MU
24394GarethSoloway2018-01-09$MU hitting major support here at $43.50. Gap ...MU
24533Ryan Mallory2018-01-08Stocks to Trade: $MU $PAH-OLD $MAR http://bit....MU
24971Focus Equity2018-01-03$MU Micron: The Market's Search for Cyclicalit...MU
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" + ], + "text/plain": [ + " 作者 发帖日期 \\\n", + "53 Sunil Shah 2018-12-30 \n", + "117 Sunil Shah 2018-12-28 \n", + "124 Sunil Shah 2018-12-28 \n", + "225 Sunil Shah 2018-12-26 \n", + "330 Sunil Shah 2018-12-24 \n", + "... ... ... \n", + "24323 Vertical Spread 2018-01-09 \n", + "24391 GarethSoloway 2018-01-09 \n", + "24394 GarethSoloway 2018-01-09 \n", + "24533 Ryan Mallory 2018-01-08 \n", + "24971 Focus Equity 2018-01-03 \n", + "\n", + " 帖子内容 公司 \n", + "53 $MU The latter proposals include cracking down... MU \n", + "117 $MUCheck the OBV min by min for last 3 days.Th... MU \n", + "124 $MU last chance to get on board before MASSIVE... MU \n", + "225 $MU Did I say 24 dec was the low.WELL it's tod... MU \n", + "330 $MU @RogerSach @floridahockey @Natecrk6 @Ian C... MU \n", + "... ... .. \n", + "24323 Back into 2018 Long term Call Spreads, $MU, $N... MU \n", + "24391 Sold $MU scalp at $43.88 from entry of $43.57 ... MU \n", + "24394 $MU hitting major support here at $43.50. Gap ... MU \n", + "24533 Stocks to Trade: $MU $PAH-OLD $MAR http://bit.... MU \n", + "24971 $MU Micron: The Market's Search for Cyclicalit... MU \n", + "\n", + "[217 rows x 4 columns]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "MU_Forum = Forum_data[Forum_data[\"公司\"] == \"MU\"]\n", + "\n", + "MU_Forum" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:01.276560Z", + "start_time": "2020-06-30T13:04:00.811677Z" + } + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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公司编号日期公司简写最低价最高价收盘价成交量开盘价帖子评论数论坛评论数
500578536132018-07-02MU51.3254.530054.4838915998.051.5201
500579536132018-07-03MU50.1054.790051.4852179035.054.5502
500580536132018-07-05MU51.9453.310052.8451116248.052.8502
500581536132018-07-06MU51.9853.410053.2331831420.052.5401
500582536132018-07-09MU53.1154.500054.3132561338.053.8000
.................................
500699536132018-12-24MU29.0030.350029.0223995373.029.8601
500700536132018-12-26MU28.3930.910030.8945697474.029.341181
500701536132018-12-27MU30.2332.010031.9339864916.030.412320
500702536132018-12-28MU31.4032.278531.5729849028.032.0002
500703536132018-12-31MU31.4632.400031.7321390910.031.99750
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126 rows × 10 columns

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" + ], + "text/plain": [ + " 公司编号 日期 公司简写 最低价 最高价 收盘价 成交量 开盘价 \\\n", + "500578 53613 2018-07-02 MU 51.32 54.5300 54.48 38915998.0 51.52 \n", + "500579 53613 2018-07-03 MU 50.10 54.7900 51.48 52179035.0 54.55 \n", + "500580 53613 2018-07-05 MU 51.94 53.3100 52.84 51116248.0 52.85 \n", + "500581 53613 2018-07-06 MU 51.98 53.4100 53.23 31831420.0 52.54 \n", + "500582 53613 2018-07-09 MU 53.11 54.5000 54.31 32561338.0 53.80 \n", + "... ... ... ... ... ... ... ... ... \n", + "500699 53613 2018-12-24 MU 29.00 30.3500 29.02 23995373.0 29.86 \n", + "500700 53613 2018-12-26 MU 28.39 30.9100 30.89 45697474.0 29.34 \n", + "500701 53613 2018-12-27 MU 30.23 32.0100 31.93 39864916.0 30.41 \n", + "500702 53613 2018-12-28 MU 31.40 32.2785 31.57 29849028.0 32.00 \n", + "500703 53613 2018-12-31 MU 31.46 32.4000 31.73 21390910.0 31.99 \n", + "\n", + " 帖子评论数 论坛评论数 \n", + "500578 0 1 \n", + "500579 0 2 \n", + "500580 0 2 \n", + "500581 0 1 \n", + "500582 0 0 \n", + "... ... ... \n", + "500699 0 1 \n", + "500700 118 1 \n", + "500701 232 0 \n", + "500702 0 2 \n", + "500703 75 0 \n", + "\n", + "[126 rows x 10 columns]" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "def AddCount_n(r):\n", + " row = MU_Forum.loc[(MU_Forum[\"公司\"] == r[\"公司简写\"]) &\n", + " (MU_Forum[\"发帖日期\"] == r[\"日期\"])]\n", + " count = int(r[\"论坛评论数\"])\n", + " for rr in row.itertuples():\n", + " count += 1\n", + " return count\n", + "\n", + "\n", + "Company_test[\"论坛评论数\"] = Company_test[['论坛评论数', '公司简写', '日期']].apply(\n", + " lambda x: AddCount_n(x), axis=1)\n", + "\n", + "Company_test" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 五、线性回归" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 5.1 导入模块" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:02.713985Z", + "start_time": "2020-06-30T13:04:01.285534Z" + } + }, + "outputs": [], + "source": [ + "from sklearn import datasets\n", + "from sklearn.linear_model import ElasticNet" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 5.2 弹性网络回归模型" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5.2.1 训练集处理" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:02.742907Z", + "start_time": "2020-06-30T13:04:02.717975Z" + } + }, + "outputs": [], + "source": [ + "# 测试集采样率\n", + "RATING = 0.3\n", + "\n", + "# 集合创建\n", + "test = pd.DataFrame() # 划分出的test集合\n", + "train = pd.DataFrame() # 剩余的train集合\n", + "\n", + "# 训练样本\n", + "sample = Company_test.sample(int(RATING*len(Company_test)))\n", + "sample_index = sample.index\n", + "\n", + "# 剩余数据\n", + "all_index = Company_test.index\n", + "residue_index = all_index.difference(sample_index) # 去除sample之后剩余的数据\n", + "residue = Company_test.loc[residue_index] # 这里要使用.loc而非.iloc\n", + "\n", + "# 保存\n", + "test = pd.concat([test, sample], ignore_index=True)\n", + "train = pd.concat([train, residue], ignore_index=True)\n", + "\n", + "\n", + "# 只保留训练数据\n", + "test = pd.DataFrame(\n", + " test, columns=['最低价', '最高价', '收盘价', '成交量', '开盘价', \"帖子评论数\", \"论坛评论数\"])\n", + "train = pd.DataFrame(\n", + " train, columns=['最低价', '最高价', '收盘价', '成交量', '开盘价', \"帖子评论数\", \"论坛评论数\"])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T12:15:55.452302Z", + "start_time": "2020-06-30T12:15:55.446315Z" + } + }, + "source": [ + "在这里我们还需要将所有的数据上下两行相减。 \n", + "在我看来，下一天的股价必然和前一天的股价有关，同%gui又与人们的评论数目有关。 \n", + "至于为什么不做情感分析？ \n", + "因为有评论总比没评论要好，评论有就说明人们持续关注，而一个股票最重要的就是热度" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:02.784796Z", + "start_time": "2020-06-30T13:04:02.745899Z" + } + }, + "outputs": [], + "source": [ + "test_n=pd.DataFrame()\n", + "test_n[['最低价', '最高价', '收盘价', '成交量', '开盘价']] = test[[\n", + " '最低价', '最高价', '收盘价', '成交量', '开盘价']].shift(1)\n", + "test[['最低价', '最高价', '收盘价', '成交量', '开盘价']\n", + " ] -= test_n[['最低价', '最高价', '收盘价', '成交量', '开盘价']]\n", + "\n", + "# 删除无用行\n", + "test.dropna(axis=0, how='any', inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:02.818705Z", + "start_time": "2020-06-30T13:04:02.786789Z" + } + }, + "outputs": [], + "source": [ + "train_n=pd.DataFrame()\n", + "train_n[['最低价', '最高价', '收盘价', '成交量', '开盘价']] = train[[\n", + " '最低价', '最高价', '收盘价', '成交量', '开盘价']].shift(1)\n", + "train[['最低价', '最高价', '收盘价', '成交量', '开盘价']\n", + " ] -= train_n[['最低价', '最高价', '收盘价', '成交量', '开盘价']]\n", + "\n", + "# 删除无用行\n", + "train.dropna(axis=0, how='any', inplace=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "后期进行模型的拟合，需要用到Numpy中的矩阵。 \n", + "所以在这里提前转化为矩阵。" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:02.830673Z", + "start_time": "2020-06-30T13:04:02.822695Z" + } + }, + "outputs": [], + "source": [ + "# 转化为numpy中的矩阵\n", + "test = np.array(test)\n", + "train = np.array(train)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5.2.2 模型创建\n", + "这里采用的是弹性网络模型。 \n", + "然后训练的数据其实是用前一天的数据去预测后一天的数据。" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:02.853612Z", + "start_time": "2020-06-30T13:04:02.835661Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "ElasticNet()" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# 建立模型\n", + "model = ElasticNet()\n", + "# 开始训练\n", + "model.fit(train[:-2], train[1:-1, :5])" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:02.960326Z", + "start_time": "2020-06-30T13:04:02.857602Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "predict:\n" + ] + }, + { + "data": { + "text/html": [ + "
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最低价最高价收盘价成交量开盘价
5005791.22-0.26003.00-13263037.0-3.03
500580-1.841.4800-1.361062787.01.70
500581-0.04-0.1000-0.3919284828.00.31
500582-1.13-1.0900-1.08-729918.0-1.26
500583-1.24-1.4000-1.43-2273157.0-0.86
..................
5006991.111.70001.3030627935.01.82
5007000.61-0.5600-1.87-21702101.00.52
500701-1.84-1.1000-1.045832558.0-1.07
500702-1.17-0.26850.3610015888.0-1.59
500703-0.06-0.1215-0.168458118.00.01
\n", + "

125 rows × 5 columns

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" + ], + "text/plain": [ + " 最低价 最高价 收盘价 成交量 开盘价\n", + "500579 1.22 -0.2600 3.00 -13263037.0 -3.03\n", + "500580 -1.84 1.4800 -1.36 1062787.0 1.70\n", + "500581 -0.04 -0.1000 -0.39 19284828.0 0.31\n", + "500582 -1.13 -1.0900 -1.08 -729918.0 -1.26\n", + "500583 -1.24 -1.4000 -1.43 -2273157.0 -0.86\n", + "... ... ... ... ... ...\n", + "500699 1.11 1.7000 1.30 30627935.0 1.82\n", + "500700 0.61 -0.5600 -1.87 -21702101.0 0.52\n", + "500701 -1.84 -1.1000 -1.04 5832558.0 -1.07\n", + "500702 -1.17 -0.2685 0.36 10015888.0 -1.59\n", + "500703 -0.06 -0.1215 -0.16 8458118.0 0.01\n", + "\n", + "[125 rows x 5 columns]" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Company_test_temp = pd.DataFrame()\n", + "Company_test_temp[['最低价', '最高价', '收盘价', '成交量', '开盘价']\n", + " ] = Company_test[['最低价', '最高价', '收盘价', '成交量', '开盘价']].shift(1)\n", + "Company_test_temp[['最低价', '最高价', '收盘价', '成交量', '开盘价']\n", + " ] -= Company_test[['最低价', '最高价', '收盘价', '成交量', '开盘价']]\n", + "\n", + "Company_test_temp.dropna(axis=0, how='any', inplace=True)\n", + "\n", + "Company_test_temp" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T11:35:54.782905Z", + "start_time": "2020-06-30T11:35:54.778915Z" + } + }, + "source": [ + "## 6.1最低价走势比较" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.1.1 原始数据" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:03.551348Z", + "start_time": "2020-06-30T13:04:03.111924Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"] # 用来正常显示中文标签\n", + "plt.rcParams[\"axes.unicode_minus\"] = False # 用来正常显示负号\n", + "\n", + "plt.figure(figsize=(15, 3))\n", + "\n", + "plt.plot(Company_test[\"日期\"].iloc[1:26], Company_test_temp[\"最低价\"].iloc[1:26])\n", + "plt.title(\"最低价绘图\") # 图名\n", + "plt.xlabel(\"日期\") # x轴标签\n", + "plt.ylabel(\"最低价\") # y轴标签\n", + "plt.tick_params(axis='both') # x,y轴都有刻度\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.1.2 预测数据" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:03.956807Z", + "start_time": "2020-06-30T13:04:03.555336Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"] # 用来正常显示中文标签\n", + "plt.rcParams[\"axes.unicode_minus\"] = False # 用来正常显示负号\n", + "\n", + "plt.figure(figsize=(15, 3))\n", + "\n", + "# print(np.array(s[0]))\n", + "plt.plot(Company_test[\"日期\"][1:26], result[:25, 0])\n", + "plt.title(\"最低价绘图\") # 图名\n", + "plt.xlabel(\"日期\") # x轴标签\n", + "plt.ylabel(\"最低价\") # y轴标签\n", + "plt.tick_params(axis='both') # x,y轴都有刻度\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 6.2最高价走势比较" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.2.1 原始数据" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:04.376684Z", + "start_time": "2020-06-30T13:04:03.964789Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"] # 用来正常显示中文标签\n", + "plt.rcParams[\"axes.unicode_minus\"] = False # 用来正常显示负号\n", + "\n", + "plt.figure(figsize=(15, 3))\n", + "\n", + "plt.plot(Company_test[\"日期\"].iloc[1:26], Company_test_temp[\"最高价\"].iloc[1:26])\n", + "plt.title(\"最高价绘图\") # 图名\n", + "plt.xlabel(\"日期\") # x轴标签\n", + "plt.ylabel(\"最高价\") # y轴标签\n", + "plt.tick_params(axis='both') # x,y轴都有刻度\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.2.2 预测数据" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:04.773627Z", + "start_time": "2020-06-30T13:04:04.381672Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"] # 用来正常显示中文标签\n", + "plt.rcParams[\"axes.unicode_minus\"] = False # 用来正常显示负号\n", + "\n", + "plt.figure(figsize=(15, 3))\n", + "\n", + "# print(np.array(s[0]))\n", + "plt.plot(Company_test[\"日期\"][1:26], result[:25, 1])\n", + "plt.title(\"最高价绘图\") # 图名\n", + "plt.xlabel(\"日期\") # x轴标签\n", + "plt.ylabel(\"最高价\") # y轴标签\n", + "plt.tick_params(axis='both') # x,y轴都有刻度\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 6.3收盘价走势比较" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.3.1 原始数据" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:05.164108Z", + "start_time": "2020-06-30T13:04:04.776621Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"] # 用来正常显示中文标签\n", + "plt.rcParams[\"axes.unicode_minus\"] = False # 用来正常显示负号\n", + "\n", + "plt.figure(figsize=(15, 3))\n", + "\n", + "plt.plot(Company_test[\"日期\"].iloc[1:26], Company_test_temp[\"收盘价\"].iloc[1:26])\n", + "plt.title(\"收盘价\") # 图名\n", + "plt.xlabel(\"日期\") # x轴标签\n", + "plt.ylabel(\"收盘价\") # y轴标签\n", + "plt.tick_params(axis='both') # x,y轴都有刻度\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.3.2 预测数据" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:05.521069Z", + "start_time": "2020-06-30T13:04:05.167099Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"] # 用来正常显示中文标签\n", + "plt.rcParams[\"axes.unicode_minus\"] = False # 用来正常显示负号\n", + "\n", + "plt.figure(figsize=(15, 3))\n", + "\n", + "# print(np.array(s[0]))\n", + "plt.plot(Company_test[\"日期\"][1:26], result[:25, 2])\n", + "plt.title(\"收盘价绘图\") # 图名\n", + "plt.xlabel(\"日期\") # x轴标签\n", + "plt.ylabel(\"收盘价\") # y轴标签\n", + "plt.tick_params(axis='both') # x,y轴都有刻度\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 6.4成交量走势预测" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.4.1 原始数据" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:05.914555Z", + "start_time": "2020-06-30T13:04:05.524061Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"] # 用来正常显示中文标签\n", + "plt.rcParams[\"axes.unicode_minus\"] = False # 用来正常显示负号\n", + "\n", + "plt.figure(figsize=(15, 3))\n", + "\n", + "plt.plot(Company_test[\"日期\"].iloc[1:26], Company_test_temp[\"成交量\"].iloc[1:26])\n", + "plt.title(\"成交量绘图\") # 图名\n", + "plt.xlabel(\"日期\") # x轴标签\n", + "plt.ylabel(\"成交量\") # y轴标签\n", + "plt.tick_params(axis='both') # x,y轴都有刻度\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.4.2 预测数据" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:06.304512Z", + "start_time": "2020-06-30T13:04:05.918545Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"] # 用来正常显示中文标签\n", + "plt.rcParams[\"axes.unicode_minus\"] = False # 用来正常显示负号\n", + "\n", + "plt.figure(figsize=(15, 3))\n", + "\n", + "# print(np.array(s[0]))\n", + "plt.plot(Company_test[\"日期\"][1:26], result[:25, 3])\n", + "plt.title(\"成交量绘图\") # 图名\n", + "plt.xlabel(\"日期\") # x轴标签\n", + "plt.ylabel(\"成交量\") # y轴标签\n", + "plt.tick_params(axis='both') # x,y轴都有刻度\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 6.5 开盘价走势预测" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.3.1 原始数据" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:06.713931Z", + "start_time": "2020-06-30T13:04:06.308501Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"] # 用来正常显示中文标签\n", + "plt.rcParams[\"axes.unicode_minus\"] = False # 用来正常显示负号\n", + "\n", + "plt.figure(figsize=(15, 3))\n", + "\n", + "plt.plot(Company_test[\"日期\"].iloc[1:26], Company_test_temp[\"开盘价\"].iloc[1:26])\n", + "plt.title(\"开盘价绘图\") # 图名\n", + "plt.xlabel(\"日期\") # x轴标签\n", + "plt.ylabel(\"开盘价\") # y轴标签\n", + "plt.tick_params(axis='both') # x,y轴都有刻度\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6.5.2 预测数据" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": { + "ExecuteTime": { + "end_time": "2020-06-30T13:04:07.093034Z", + "start_time": "2020-06-30T13:04:06.718918Z" + }, + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" ] @@ -7750,16 +5402,17 @@ } ], "source": [ - "plt.rcParams[\"font.sans-serif\"]=[\"SimHei\"] #用来正常显示中文标签\n", - "plt.rcParams[\"axes.unicode_minus\"]=False #用来正常显示负号\n", + "plt.rcParams[\"font.sans-serif\"] = [\"SimHei\"] # 用来正常显示中文标签\n", + "plt.rcParams[\"axes.unicode_minus\"] = False # 用来正常显示负号\n", "\n", "plt.figure(figsize=(15, 3))\n", "\n", - "plt.plot(Company1[\"日期\"],Company1[\"收盘价\"])\n", - "plt.title(\"成交量绘图\") #图名\n", - "plt.xlabel(\"日期\")#x轴标签\n", - "plt.ylabel(\"收盘价\")#y轴标签\n", - "plt.tick_params(axis='both')#x,y轴都有刻度\n", + "# print(np.array(s[0]))\n", + "plt.plot(Company_test[\"日期\"][1:26], result[:25, 4])\n", + "plt.title(\"开盘价绘图\") # 图名\n", + "plt.xlabel(\"日期\") # x轴标签\n", + "plt.ylabel(\"开盘价\") # y轴标签\n", + "plt.tick_params(axis='both') # x,y轴都有刻度\n", "plt.show()" ] }