77 lines
2.3 KiB
Python
77 lines
2.3 KiB
Python
# 数据处理
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import json
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from pyecharts.charts import Line
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from pyecharts.options import TitleOpts, LabelOpts
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f_us = open("D:/program/美国.txt", 'r', encoding="UTF-8")
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f_jp = open("D:/program/日本.txt", 'r', encoding="UTF-8")
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f_yd = open("D:/program/印度.txt", 'r', encoding="UTF-8")
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us_data = f_us.read()
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jp_data = f_jp.read()
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yd_data = f_yd.read()
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# 去掉不符合JSON的开头
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us_data = us_data.replace("jsonp_1629344292311_69436(", "")
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jp_data = jp_data.replace("jsonp_1629350871167_29498(", "")
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yd_data = yd_data.replace("jsonp_1629350745930_63180(", "")
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# 去掉不符合JSON的结尾
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us_data = us_data[:-2] # 切片
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jp_data = jp_data[:-2]
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yd_data = yd_data[:-2]
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# JSON转Python字典
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us_dict = json.loads(us_data)
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jp_dict = json.loads(jp_data)
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yd_dict = json.loads(yd_data)
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# print(type(us_dict))
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# print(us_dict)
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# print(jp_dict)
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# print(yd_dict)
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# 获取trend key
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us_trend_data = us_dict['data'][0]['trend']
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jp_trend_data = jp_dict['data'][0]['trend']
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yd_trend_data = yd_dict['data'][0]['trend']
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# print(us_trend_data)
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# 获取日期数据，用于x轴，取2020年（到315下标结束）
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us_x_data = us_trend_data['updateDate'][:314]
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jp_x_data = jp_trend_data['updateDate'][:315]
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yd_x_data = yd_trend_data['updateDate'][:269]
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# us_x_data = us_x_data[:314]
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# jp_x_data = jp_x_data[:315]
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# yd_x_data = yd_x_data[:269]
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# print(us_x_data)
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# print(jp_x_data)
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# print(yd_x_data)
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# 获取确诊数据，用于y轴，取2020年（到315结束）
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us_y_data = us_trend_data['list'][0]['data'][:314]
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jp_y_data = jp_trend_data['list'][0]['data'][:315]
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yd_y_data = yd_trend_data['list'][0]['data'][:269]
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# us_y_data = us_y_data[:314]
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# jp_y_data = jp_y_data[:315]
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# yd_y_data = yd_y_data[:269]
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# 生成图表
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line = Line() # 构建折线图对象
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# 添加x轴数据
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line.add_xaxis(us_x_data)
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# line.add_xaxis(jp_x_data)
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# line.add_xaxis(yd_x_data)
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# 添加y轴数据
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line.add_yaxis("美国确诊人口", us_y_data, label_opts=LabelOpts(is_show=False)) # 不显示数据（系统配置）
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line.add_yaxis("日本确诊人口", jp_y_data)
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line.add_yaxis("印度确诊人口", yd_y_data)
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# 设置全局选项
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line.set_global_opts(
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# 标题
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title_opts=TitleOpts(title="2020年美印日三国确诊人数对比折线图", pos_left="center", pos_bottom="1%")
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)
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# 调用render方法生成图标
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line.render("折线图.html")
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# 关闭文件
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f_yd.close()
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f_us.close()
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f_jp.close()
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