给定数据：

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一、处理数据

文件可用网站abc173.com处理（更方便查看）

点JSON相关，JSON视图

1、读取数据

2、去掉不合JSON规范的开头与结尾

3、JSON转Python字典

4、获取x，y轴数据

二、生成折线图

1、生成图表

2、添加x，y轴数据

3、设置全局配置选项、 系列配置选项

from pyecharts.charts import Line
import json
from pyecharts.options import TitleOpts# 打开文件
f_us = open("D:\美国.txt", "r", encoding="UTF-8")
us_data = f_us.read()
f_jp = open("D:\日本.txt", "r", encoding="UTF-8")
jp_data = f_jp.read()
f_in = open("D:\印度.txt", "r", encoding="UTF-8")
in_data = f_in.read()
# 去掉不合JSON规范的开头
us_data = us_data.replace("jsonp_1629344292311_69436(", "")
jp_data = jp_data.replace("jsonp_1629350871167_29498(", "")
in_data = in_data.replace("jsonp_1629350745930_63180(", "")
# 去掉不合JSON规范的结尾
us_data = us_data[:-2]
jp_data = jp_data[:-2]
in_data = in_data[:-2]
# JSON转为Python字典
us_dict = json.loads(us_data)
jp_dict = json.loads(jp_data)
print(type(jp_dict))
in_dict = json.loads(in_data)
# 获取日期和数据
us_trend_data = us_dict['data'][0]['trend']
jp_trend_data = jp_dict['data'][0]['trend']
in_trend_data = in_dict['data'][0]['trend']
# 获取x轴y轴数据
us_x_data = us_trend_data['updateDate'][:314]
jp_x_data = jp_trend_data['updateDate'][:314]
in_x_data = in_trend_data['updateDate'][:314]
us_y_data = us_trend_data['list'][0]['data'][:314]
jp_y_data = jp_trend_data['list'][0]['data'][:314]
in_y_data = in_trend_data['list'][0]['data'][:314]
# 生成折线图
line = Line()
# 添加x轴
line.add_xaxis(us_x_data)
# 添加y轴
line.add_yaxis("美国确诊人数", us_y_data)
line.add_yaxis("日本确诊人数", jp_y_data)
line.add_yaxis("印度确诊人数", in_y_data)
# 补充细节
line.set_global_opts(title_opts=TitleOpts(title="各国确诊人数", pos_left="center", pos_bottom="1%")
)
# 生成图表
line.render()
# 关闭文件
f_jp.close()
f_in.close()
f_us.close()