对全国的疫情情况进行数据分析并进行数据可视化

from matplotlib import pyplot as plt import requests import json import matplotlib headers = { '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 Edg/92.0.902.78', } url = 'http://222.178.203.72:19005/whst/63/=Zohzhmdvrzppzbnl//newsqa/v1/query/inner/publish/modules/list?modules=diseaseh5Shelf' req = requests.get(url, headers=headers) data = json.loads(req.text) response = data['data']['diseaseh5Shelf']['areaTree'][0]['children'] name_list = [] heal_list = [] confirm_list = [] for i in response: print(i) #省份 name = i['name'] name_list.append(name) print(name) #确诊 confirm = i['total']['confirm'] confirm_list.append(confirm) print(confirm) dead = i['total']['dead'] #治愈 heal = i['total']['heal'] heal_list.append(heal) # 设置中文字体和负号正常显示 matplotlib.rcParams['font.sans-serif'] = ['SimHei'] matplotlib.rcParams['axes.unicode_minus'] = False plt.figure(figsize=(2080, 8), dpi=(100)) print(name_list) print(confirm_list) print(heal_list) label_list = name_list # 横坐标刻度显示值 num_list1 = heal_list # 纵坐标值1 num_list2 = confirm_list # 纵坐标值2 x = range(len(num_list1)) # 绘制条形图 rects1 = plt.bar(x, height=num_list1, width=0.4, alpha=0.5, color='red', label='治愈人数') rects2 = plt.bar([i+0.4 for i in x], height=num_list2, width=0.4, color='blue', label='确诊人数') # 设置y轴属性 plt.ylim(0, 5000000) plt.ylabel('数量') # 设置x轴属性 plt.xticks([index+ 0 for index in x], label_list) plt.xlabel("省份") plt.title('各省治愈与死亡组合图') plt.legend() # 显示文本 for rect in rects1: height = rect.get_height() plt.text(rect.get_x() + rect.get_width() / 12, height + 5, str(height), ha='center', va='bottom') for rect in rects2: height = rect.get_height() plt.text(rect.get_x() + rect.get_width() / 12, height + 5, str(height), ha='center', va='bottom') plt.show() plt.savefig("./3.svg")