28、Python使用pyecharts绘制动态图

基本思想：使用Python的pyecharts包进行中国疫情的动态图绘制；

链接：https://pan.baidu.com/s/15oaBrsSGL_YNikRlwwaZZw 
提取码：c460 
复制这段内容后打开百度网盘手机App，操作更方便哦
复制这段内容后打开百度网盘手机App，操作更方便哦

import pandas as pd
from pylab import *
import matplotlib.pyplot as plt
plt.rcParams['font.sans-serif'] = ['SimHei']
import os
from glob import glob
from pyecharts import Line
from pyecharts import Map

line = Line("折线图-面积图示例")
attr=[]
value=[]
y0_axis=[]
x0_axis=[]
file_list=glob("F:\\project54\\*.csv")
for file in file_list:
    print(file)
    name=os.path.split(file)[1]
    name=os.path.splitext(name)[0]
    df = pd.read_csv(file,index_col=False,encoding='gbk')
    #print(str(y0_axis))
    x0_axis=list(df.head(0))[2:-2]
    print(len(x0_axis),x0_axis)
    for indexs in df.index:
        if re.search(list(df.loc[indexs].values[0:-1])[0],'湖北'):
            y0_axis=list(df.loc[indexs].values[0:-1])[2:-1]
            print(len(y0_axis),len(x0_axis))
        attr.append(list(df.loc[indexs].values[0:-1])[0])
        value.append(list(df.loc[indexs].values[0:-1])[-1])


line.add("Hubei", x0_axis, y0_axis, is_fill=True, mark_point=["max", "min","average"], line_opacity=0.2, area_opacity=0.4, symbol=None)
line.show_config()
line.render('hubei.html')



map = Map("Map 结合 VisualMap 示例", width=1200, height=600)

map.add("", attr, value, visual_range=[0, 900], maptype='china', is_visualmap=True,visual_text_color='#000')
map.show_config()
map.render('china.html')