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92958767
编写于
5月 10, 2023
作者:
6
622aa39c1f9b166ab1a38c05
浏览文件
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电子邮件补丁
差异文件
Wed May 10 03:06:00 UTC 2023 inscode
上级
aa1305a2
变更
3
隐藏空白更改
内联
并排
Showing
3 changed file
with
159 addition
and
69 deletion
+159
-69
Untitled1.ipynb
Untitled1.ipynb
+100
-2
requirements.txt
requirements.txt
+4
-67
test.ipynb
test.ipynb
+55
-0
未找到文件。
Untitled1.ipynb
浏览文件 @
92958767
...
...
@@ -20,16 +20,109 @@
},
{
"cell_type": "code",
"execution_count":
null
,
"execution_count":
2
,
"id": "91ef11b2-a866-4084-9f9c-9433a12ba191",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"100\n"
]
}
],
"source": [
"print(100)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "6c0f0083",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[[1 4 7]\n",
" [2 5 8]\n",
" [3 6 9]]\n",
"Transposed Array:\n",
" [[1 4 7]\n",
" [2 5 8]\n",
" [3 6 9]]\n",
"Array Shape: (3, 3)\n",
"Array Data Type: int64\n",
"Array Element Size: 8\n",
"Array Total Size: 72\n",
"Element at 1st Row 2nd Column: 2\n",
"Elements from 1st and 2nd Row, and 1st and 2nd Column:\n",
" [[1 2]\n",
" [4 5]]\n",
"Sum of Array Elements: 45\n",
"Average of Array Elements: 5.0\n",
"Maximum Element in Array: 9\n",
"Minimum Element in Array: 1\n"
]
}
],
"source": [
"import numpy as np\n",
"\n",
"# 生成一个 3x3 的二维数组\n",
"arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\n",
"\n",
"# 转置数组\n",
"transposed_arr = arr.T\n",
"print(transposed_arr)\n",
"import numpy as np\n",
"\n",
"# 生成一个 3x3 的二维数组\n",
"arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\n",
"\n",
"# 转置数组\n",
"transposed_arr = arr.T\n",
"print(\"Transposed Array:\\n\", transposed_arr)\n",
"\n",
"# 数组的形状\n",
"print(\"Array Shape:\", arr.shape)\n",
"\n",
"# 数组的类型\n",
"print(\"Array Data Type:\", arr.dtype)\n",
"\n",
"# 数组元素的字节大小\n",
"print(\"Array Element Size:\", arr.itemsize)\n",
"\n",
"# 数组元素的总字节大小\n",
"print(\"Array Total Size:\", arr.nbytes)\n",
"\n",
"# 访问数组的某个元素\n",
"print(\"Element at 1st Row 2nd Column:\", arr[0][1])\n",
"\n",
"# 访问数组的某个区域\n",
"print(\"Elements from 1st and 2nd Row, and 1st and 2nd Column:\\n\", arr[:2, :2])\n",
"\n",
"# 对数组求和、平均值、最大值、最小值\n",
"print(\"Sum of Array Elements:\", arr.sum())\n",
"print(\"Average of Array Elements:\", arr.mean())\n",
"print(\"Maximum Element in Array:\", arr.max())\n",
"print(\"Minimum Element in Array:\", arr.min())\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "27161d42",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3
(ipykernel)
",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
...
...
@@ -44,6 +137,11 @@
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
},
"vscode": {
"interpreter": {
"hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
}
}
},
"nbformat": 4,
...
...
requirements.txt
浏览文件 @
92958767
anyio
==3.6.2
argon2-cffi
==21.3.0
argon2-cffi-bindings
==21.2.0
astroid
==2.15.4
asttokens
==2.2.1
attrs
==23.1.0
autopep8
==1.5.5
Babel
==2.12.1
backcall
==0.2.0
beautifulsoup4
==4.12.2
bleach
==6.0.0
certifi
==2019.11.28
cffi
==1.15.1
chardet
==3.0.4
charset-normalizer
==3.1.0
comm
==0.1.3
dbus-python
==1.2.16
debugpy
==1.6.7
decorator
==5.1.1
defusedxml
==0.7.1
dill
==0.3.6
distro-info
===0.23ubuntu1
docopt
==0.6.2
executing
==1.2.0
fastjsonschema
==2.16.3
flake8
==3.8.4
idna
==2.8
importlib-metadata
==6.6.0
importlib-resources
==5.12.0
ipykernel
==6.23.0
ipython
==8.12.2
ipython-genutils
==0.2.0
isort
==5.12.0
jedi
==0.17.2
Jinja2
==3.1.2
json5
==0.9.11
jsonschema
==4.17.3
jupyter-lsp
==2.1.0
jupyter-server
==1.24.0
jedi
==0.18.2
jupyter_client
==8.2.0
jupyter_core
==5.3.0
jupyterlab
==3.2.0
jupyterlab-pygments
==0.2.2
jupyterlab_server
==2.22.1
lazy-object-proxy
==1.9.0
MarkupSafe
==2.1.2
matplotlib-inline
==0.1.6
mccabe
==0.6.1
mistune
==2.0.5
nbclassic
==0.5.6
nbclient
==0.7.4
nbconvert
==7.4.0
nbformat
==5.8.0
nest-asyncio
==1.5.6
n
otebook_shim
==0.2
.3
n
umpy
==1.24
.3
packaging
==23.1
pandocfilters
==1.5.0
parso
==0.7.1
parso
==0.8.3
pexpect
==4.8.0
pickleshare
==0.7.5
pipreqs
==0.4.13
pkgutil_resolve_name
==1.3.10
platformdirs
==3.5.0
pluggy
==1.0.0
prometheus-client
==0.16.0
prompt-toolkit
==3.0.38
psutil
==5.9.5
ptyprocess
==0.7.0
pure-eval
==0.2.2
pycodestyle
==2.6.0
pycparser
==2.21
pydocstyle
==6.3.0
pyflakes
==2.2.0
Pygments
==2.15.1
PyGObject
==3.36.0
pylint
==2.17.4
pyrsistent
==0.19.3
python-apt
==2.0.1+ubuntu0.20.4.1
python-dateutil
==2.8.2
python-jsonrpc-server
==0.4.0
python-language-server
==0.36.2
pytoolconfig
==1.2.5
pytz
==2023.3
pyzmq
==25.0.2
requests
==2.
30
.0
requests
==2.
22
.0
requests-unixsocket
==0.2.0
rope
==1.8.0
Send2Trash
==1.8.2
six
==1.14.0
sniffio
==1.3.0
snowballstemmer
==2.2.0
soupsieve
==2.4.1
stack-data
==0.6.2
terminado
==0.17.1
tinycss2
==1.2.1
toml
==0.10.2
tomli
==2.0.1
tomlkit
==0.11.8
tornado
==6.3.1
traitlets
==5.9.0
typing_extensions
==4.5.0
ujson
==5.7.0
unattended-upgrades
==0.1
urllib3
==1.25.8
wcwidth
==0.2.6
webencodings
==0.5.1
websocket-client
==1.5.1
wrapt
==1.15.0
yapf
==0.33.0
yarg
==0.1.9
zipp
==3.15.0
test.ipynb
0 → 100644
浏览文件 @
92958767
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"100\n"
]
}
],
"source": [
"print(100)\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.10"
},
"orig_nbformat": 4,
"vscode": {
"interpreter": {
"hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
}
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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