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commit code

feiyan_data/feiyan_data_any.py

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+import time, json, requests
+
+# 腾讯疫情实时数据数据 URL
+url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5&callback=&_=%d'%int(time.time()*1000)
+# 加载 JSON 数据并解析
+data = json.loads(requests.get(url=url).json()['data'])
+#　打印数据输出数据
+print(data)
+print(data.keys())
+
+# 统计省份信息(34个省份 湖北 广东 河南 浙江 湖南 安徽....)
+num_area = data['areaTree'][0]['children']
+print(len(num_area))
+# 遍历所有数据后输出，直到输出结束
+for item in num_area:
+    print(item['name'],end=" ")
+else:
+    print("\n")
+
+# 解析所有确诊数据
+all_data = {}
+for item in num_area:
+    # 输出省市名称
+    if item['name'] not in all_data:
+        all_data.update({item['name']:0})
+    #输出省市对应的数据
+    for city_data in item['children']:
+        all_data[item['name']] +=int(city_data['total']['confirm'])
+#　输出结果
+print(all_data)
+
+#--------------------------------------------------------------------------------
+
+# 使用 Matplotlib 绘制全国确诊病例柱状图
+import matplotlib.pyplot as plt
+import numpy as np
+
+plt.rcParams['font.sans-serif'] = ['SimHei']  #正常显示中文标签
+plt.rcParams['axes.unicode_minus'] = False    #正常显示负号
+
+#获取数据
+names = all_data.keys()
+nums = all_data.values()
+print(names)
+print(nums)
+
+# 绘图
+plt.figure(figsize=[11,7])
+plt.bar(names, nums, width=0.8, color='purple')
+
+# 设置标题
+plt.xlabel("地区", fontproperties='SimHei', size=15)
+plt.ylabel("人数", fontproperties='SimHei', rotation=90, size=12)
+plt.title("全国疫情确诊图", fontproperties='SimHei', size=16)
+plt.xticks(list(names), fontproperties='SimHei', rotation=-60, size=10)
+
+# 显示数字
+for a, b in zip(list(names), list(nums)):
+    plt.text(a, b, b, ha='center', va='bottom', size=6)
+
+#　图形展示
+plt.show()