新冠肺炎疫情pyecharts可视化（多图合一，带时间控制条，可查看任意一天）

# https://github.com/CSSEGISandData/COVID-19 from typing import List import pandas as pd import numpy as np import pyecharts.options as opts from pyecharts.globals import ThemeType from pyecharts.commons.utils import JsCode from pyecharts.charts import Timeline, Grid, Bar, Map, Pie, Line, Page confirmed = pd.read_csv("./time_series_covid19_confirmed_global.csv") death = pd.read_csv("time_series_covid19_deaths_global.csv") recovered = pd.read_csv("time_series_covid19_recovered_global.csv") china_confirmed = confirmed[confirmed["Country/Region"] == "China"] china_death = death[death["Country/Region"] == "China"] china_recovered = recovered[recovered["Country/Region"] == "China"] columns = {d: d[:-3] for d in china_confirmed.columns[4:]} # 把末尾三位年份去掉，如'3/10/20': '3/10' china_confirmed = china_confirmed.rename(columns=columns) china_death = china_death.rename(columns=columns) china_recovered = china_recovered.rename(columns=columns) # 这个的index跟上面两个不一样，要做减法时要index和column对应 china_recovered.index = range(49, 82) provinces = ['安徽', '北京', '重庆', '福建', '甘肃', '广东', '广西', '贵州', '海南', '河北', '黑龙江', '河南', '香港', '湖北', '湖南', '内蒙古', '江苏', '江西', '吉林', '辽宁', '澳门', '宁夏', '青海', '陕西', '山东', '上海', '山西', '四川', '天津', '西藏', '新疆', '云南', '浙江'] time_list = china_confirmed.columns[4:].to_list() max_all = [67803, 3213, 64142, 67803] # 全国累计 total_num_all = [[sum(china_confirmed[t]) for t in time_list], [sum(china_death[t]) for t in time_list], [sum(china_recovered[t]) for t in time_list]] # 剩余确诊 now = np.array(total_num_all[0]) - np.array(total_num_all[1]) - np.array(total_num_all[2]) now = now.tolist() total_num_all.append(now) titles = ["全国新冠肺炎确诊情况", "全国新冠肺炎死亡情况", "全国新冠肺炎治愈情况", "全国新冠肺炎现存确诊情况"] line_titles = ["全国新冠肺炎累计确诊人数", "全国新冠肺炎累计死亡人数", "全国新冠肺炎累计治愈人数", "全国新冠肺炎现存确诊人数"] china_now = china_confirmed[china_confirmed.columns[4:]] - china_death[china_death.columns[4:]] - china_recovered[china_recovered.columns[4:]] data_all = [china_confirmed, china_death, china_recovered, china_now] pieces_all = [[{"value": 0, "color": "#FFFFFF"}, {"min": 1, "max": 99, "label": "1-99", "color": "#FFEBCD"}, {"min": 100, "max": 499, "label": "100-499", "color": "#FF8C00"}, {"min": 500, "max": 999, "label": "500-999", "color": "#EE2C2C"}, {"min": 1000, "max": 19999, "label": "1000-19999", "color": "#CD2626"}, {"min": 20000, "label": ">=20000", "color": "#8B1A1A"}], [{"value": 0, "color": "#FFFFFF"}, {"min": 1, "max": 9, "label": "1-9", "color": "#FFEBCD"}, {"min": 10, "max": 49, "label": "10-49", "color": "#FF8C00"}, {"min": 50, "max": 199, "label": "50-199", "color": "#EE2C2C"}, {"min": 200, "max": 999, "label": "200-999", "color": "#CD2626"}, {"min": 1000, "label": ">=1000", "color": "#8B1A1A"}], [{"min": 0, "max": 99, "label": "0-99", "color": "#FFFFE0"}, {"min": 100, "max": 499, "label": "100-499", "color": "#98FB98"}, {"min": 500, "max": 999, "label": "500-999", "color": "#3CB371"}, {"min": 1000, "max": 19999, "label": "1000-19999", "color": "#2E8B57"}, {"min": 20000, "label": ">=20000", "color": "#006400"}] ] pieces_all.append(pieces_all[0]) def get_line(date: str): data_mark_all = [[], [], [], []] for j in range(4): i = 0 for x in time_list: if x == date: data_mark_all[j].append(total_num_all[j][i]) else: data_mark_all[j].append("") i = i + 1 line_chart = ( Line(init_opts=opts.InitOpts(theme=ThemeType.DARK)) .add_xaxis(time_list) .add_yaxis("累计确诊", total_num_all[0], is_smooth=True) .add_yaxis( "累计确诊", data_mark_all[0], markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_="max")]), ) .add_yaxis("累计死亡", total_num_all[1], is_smooth=True) .add_yaxis( "累计死亡", data_mark_all[1], markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_="max")]), ) .add_yaxis("累计治愈", total_num_all[2], is_smooth=True) .add_yaxis( "累计治愈", data_mark_all[2], markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_="max")]), ) .add_yaxis("现存确诊", total_num_all[3], is_smooth=True) .add_yaxis( "现存确诊", data_mark_all[3], markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_="max")]), ) .set_series_opts(label_opts=opts.LabelOpts(is_show=False)) ) return line_chart def get_date_chart(which: int, date: str): if which == 4: return get_line(date) data = data_all[which] map_data = [list(z) for z in zip(provinces, data[date])] map_chart = ( Map() .add( series_name="", data_pair=map_data, zoom=1, center=[119.5, 34.5], is_map_symbol_show=False, itemstyle_opts={ "normal": {"areaColor": "#323c48", "borderColor": "#404a59"}, "emphasis": { "label": {"show": Timeline}, "areaColor": "rgba(255,255,255, 0.5)", }, }, ) .set_global_opts( title_opts=opts.TitleOpts( title="" + date[0] + "月" + date[2:] + "日" + titles[which], subtitle="", pos_left="center", pos_top="top", title_textstyle_opts=opts.TextStyleOpts( font_size=25, color="rgba(255,255,255, 0.9)" ), ), tooltip_opts=opts.TooltipOpts( formatter='{b}: {c}' ), visualmap_opts=opts.VisualMapOpts( is_calculable=True, dimension=0, pos_left="30", pos_top="center", pieces=pieces_all[which], is_piecewise=True, textstyle_opts=opts.TextStyleOpts(color="#ddd"), ), ) ) data_mark: List = [] i = 0 for x in time_list: if x == date: data_mark.append(total_num_all[which][i]) else: data_mark.append("") i = i + 1 line_chart = ( Line() .add_xaxis(time_list) .add_yaxis("", total_num_all[which], is_smooth=True) .add_yaxis( "", data_mark, markpoint_opts=opts.MarkPointOpts(data=[opts.MarkPointItem(type_="max")]), ) .set_series_opts( label_opts=opts.LabelOpts(is_show=False), # value的值应该只有人数才对，不知道为什么这里value的值是日期加逗号加人数，就像是2/26,45365，第五张纯折线图都没有这个问题,所以只能jscode了 tooltip_opts=opts.TooltipOpts( formatter=JsCode( """function(params) { return String(params.value).replace(',', ': ') }""" ), ), ) .set_global_opts( title_opts=opt