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Commit 0c3c8a2

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‎feiyan_data/feiyan_data_any.py

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

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