整理

09_可视化案例/11_csdn红包累计金额排名.py

+"""
+演示第三个图表：GDP动态柱状图开发
+"""
+from pyecharts.charts import Bar, Timeline
+from pyecharts.options import *
+from pyecharts.globals import ThemeType
+from pyecharts import options as opts
+
+# 读取数据
+f = open("/Users/qinyingjie/Documents/python-workspace/python-demo/data/动态柱状图数据/csdn.csv", "r",
+         encoding="UTF-8")
+data_lines = f.readlines()
+# 关闭文件
+f.close()
+# 删除第一条数据
+data_lines.pop(0)
+# 将数据转换为字典存储，格式为：
+# { 年份: [ [国家, gdp], [国家,gdp], ......  ], 年份: [ [国家, gdp], [国家,gdp], ......  ], ...... }
+# { 1960: [ [美国, 123], [中国,321], ......  ], 1961: [ [美国, 123], [中国,321], ......  ], ...... }
+# 先定义一个字典对象
+data_dict = {}
+bar_colors = ['#FF0000', '#00FF00', '#0000FF', '#FFFF00', '#00FFFF', '#FF00FF', '#C0C0C0', '#800080']
+for line in data_lines:
+    year = (line.split(",")[0])  # 日期
+    country = line.split(",")[1]  # 昵称
+    gdp = float(line.split(",")[2])  # 红包数据
+    # 如何判断字典里面有没有指定的key呢？
+    try:
+        data_dict[year].append([country, gdp])
+    except KeyError:
+        data_dict[year] = []
+        data_dict[year].append([country, gdp])
+
+# print(data_dict[1960])
+# 创建时间线对象
+timeline = Timeline({"theme": ThemeType.LIGHT})
+# 排序年份
+sorted_year_list = sorted(data_dict.keys())
+for year in sorted_year_list:
+    data_dict[year].sort(key=lambda element: element[1], reverse=True)
+    # 取出本年份前8名的国家
+    year_data = data_dict[year][0:8]
+    x_data = []
+    y_data = []
+    for i, country_gdp in enumerate(year_data):
+        x_data.append(country_gdp[0])  # x轴添加国家
+        y_data.append(country_gdp[1])  # y轴添加gdp数据
+
+    # 构建柱状图
+    bar = Bar()
+    x_data.reverse()
+    y_data.reverse()
+
+    # bar.add_xaxis(x_data)
+    # for i, (country, gdp,color) in enumerate(zip(x_data, y_data,bar_color_list)):
+    #     bar.add_yaxis(
+    #         series_name=country,
+    #         yaxis_data=[gdp],
+    #         label_opts=opts.LabelOpts(position="right", color=bar_color_list[i]),
+    #     )
+    bar.add_xaxis(x_data)
+    bar.add_yaxis("红包数据", y_data, label_opts=LabelOpts(position="right"))
+    # bar.add_yaxis("红包数据", y_data, label_opts=LabelOpts(position="right"), itemstyle_opts=ItemStyleOpts(color=bar_color_list))
+    # 反转x轴和y轴
+    bar.reversal_axis()
+    # 设置每一天的图表的标题
+    bar.set_global_opts(
+        title_opts=TitleOpts(title=f"{year}-CSDN抢到红包累计排名")
+    )
+    timeline.add(bar, str(year))
+
+# for循环每一年的数据，基于每一年的数据，创建每一年的bar对象
+# 在for中，将每一年的bar对象添加到时间线中
+
+# 设置时间线自动播放
+timeline.add_schema(
+    play_interval=2000,
+    is_timeline_show=True,
+    is_auto_play=True,
+    is_loop_play=False
+)
+# 绘图
+timeline.render("2023年11月11-2023年12月15每天CSDN抢到红包累计排名前8用户.html")

15_test_practice/CsdnKiramario.py

+#!/usr/bin/python
+# -*- coding: UTF-8 -*-
+"""
+@author: Roc-xb
+"""
+import hashlib
+import hmac
+from base64 import b64encode
+import random
+import requests
+
+# 获取x-ca-nonce
+def get_nonce():
+    text = ""
+    char_list = []
+    for c in range(97, 97 + 6):
+        char_list.append(chr(c))
+    for c in range(49, 58):
+        char_list.append(chr(c))
+    for i in "xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx":
+        if i == "4":
+            text += "4"
+        elif i == "-":
+            text += "-"
+        else:
+            text += random.choice(char_list)
+    return text
+
+
+# 获取x-ca-signature
+def get_signature(nonce):
+    appSecret = "OTGHZy1hLh1HFWbLnpG68OwZGc2TQwld".encode()
+    to_enc = f"GET\napplication/json, text/plain, */*\n\n\n\nx-ca-key:203871397\nx-ca-nonce:{nonce}\n/mp/ask/v1/questions/list?communityInfo=1&pageNo=1&pageSize=30&quick=3&rewardType=2&sortBy=1&type=5".encode()
+    signature = b64encode(hmac.new(appSecret, to_enc, digestmod=hashlib.sha256).digest()).decode()
+    return signature
+
+
+# 获取接口数据
+def get_list(url):
+    nonce = get_nonce()
+    signature = get_signature(nonce)
+    print(nonce)
+    print(signature)
+    payload = {}
+    headers = {
+        'authority': 'bizapi.csdn.net',
+        'pragma': 'no-cache',
+        'cache-control': 'no-cache',
+        'sec-ch-ua': '"Chromium";v="92", " Not A;Brand";v="99", "Google Chrome";v="92"',
+        'dnt': '1',
+        'x-ca-signature-headers': 'x-ca-key,x-ca-nonce',
+        'x-ca-signature': signature,
+        'x-ca-nonce': nonce,
+        'sec-ch-ua-mobile': '?0',
+        'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/92.0.4515.159 Safari/537.36',
+        'uber-trace-id': '50d7304716310079669041001c6a0ab7:50d7304716310089:0:0',
+        'accept': 'application/json, text/plain, */*',
+        'x-ca-key': '203871397',
+        'origin': 'https://ask.csdn.net',
+        'sec-fetch-site': 'same-site',
+        'sec-fetch-mode': 'cors',
+        'sec-fetch-dest': 'empty',
+        'referer': 'https://ask.csdn.net/?spm=1005.2025.3001.4492&rewardType=2&stateType=5&sortBy=1&quick=3',
+        'accept-language': 'zh-CN,zh;q=0.9',
+    }
+    response = requests.request("GET", url, headers=headers, data=payload).json()
+    for item in response['data']['list']:
+        print(item['title'])
+
+
+if __name__ == '__main__':
+    get_list(f"https://bizapi.csdn.net/mp/ask/v1/questions/list?pageNo=1&pageSize=30&communityInfo=1&rewardType=2&type=5&sortBy=1&quick=3")
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