FilesExpand file tree

 master

/

feiyan_data_any.py

Copy path

Blame

More file actions

Blame

More file actions

Latest commit

 

History

History

History

62 lines (51 loc) · 1.81 KB

 master

/

feiyan_data_any.py

Copy path

Top

File metadata and controls

• Code
• Blame

62 lines (51 loc) · 1.81 KB

Raw

Copy raw file

Download raw file

Open symbols panel

Edit and raw actions

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

31

32

33

34

35

36

37

38

39

40

41

42

43

44

45

46

47

48

49

50

51

52

53

54

55

56

57

58

59

60

61

62

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()