Pandas+Pyecharts | 北京近五年历史天气数据可视化

import pandas as pdfrom pyecharts.charts import Linefrom pyecharts.charts import Barfrom pyecharts.charts import Scatterfrom pyecharts.charts import Piefrom pyecharts.charts import EffectScatterfrom pyecharts.charts import Calendarfrom pyecharts.charts import Polarfrom pyecharts import options as optsimport warningswarnings.filterwarnings('ignore')

df_weather = pd.read_excel('./2018-2022年天气数据.xlsx')

df_weather_1 = df_weather.copy()df_weather_1[['最低气温','最高气温']] = df_weather_1['最低气温/最高气温'].str.split(' / ',expand=True) df_weather_1['最低气温'] = df_weather_1['最低气温'].str[:-2]df_weather_1['最高气温'] = df_weather_1['最高气温'].str[:-1]df_weather_1['最低气温'] = df_weather_1['最低气温'].astype('int')df_weather_1['最高气温'] = df_weather_1['最高气温'].astype('int')

df_weather_1['日期'] = pd.to_datetime(df_weather_1['日期'],format='%Y年%m月%d日')df_weather_1['日期s'] = df_weather_1['日期'].dt.strftime('%Y/%m/%d')

def get_scatter():    scatter = (        Scatter()        .add_xaxis(x_data)        .add_yaxis("最低气温", y_data1)        .add_yaxis("最高气温", y_data2)        .set_global_opts(            legend_opts=opts.LegendOpts(is_show=False),            visualmap_opts=opts.VisualMapOpts(                is_show=False,                range_color=range_color            ),            title_opts=opts.TitleOpts(                title='1-2018-2022年历史温度分布',                subtitle='-- 制图@公众号：Python当打之年 --',                pos_top='1%',                pos_left="1%",            )        )    )

def get_calendar():    calendar = (        Calendar()        .add('',             data_21,             calendar_opts=opts.CalendarOpts(                 pos_right='5%',                 range_='2021',                daylabel_opts=opts.CalendarDayLabelOpts(name_map='cn'),                monthlabel_opts=opts.CalendarMonthLabelOpts(name_map='cn')             ),        )        .set_global_opts(            title_opts=opts.TitleOpts(                title='3-2021年历史温度分布',                subtitle='-- 制图@公众号：Python当打之年 --',                pos_top='1%',                pos_left="1%",            ),            visualmap_opts=opts.VisualMapOpts(                range_color=range_color,            )        )    )

def get_pie():    pie = (        Pie()        .add(            "",            [list(z) for z in zip(x_data, y_data1)],            radius=["30%", "50%"],            center=["30%", "55%"],        )        .add(            "",            [list(z) for z in zip(x_data, y_data2)],            radius=["30%", "50%"],            center=["70%", "55%"],        )        .set_global_opts(            title_opts=opts.TitleOpts(                title='5-2022年夜间_白天风力分布',                subtitle='-- 制图@公众号：Python当打之年 --',                pos_top='1%',                pos_left="1%",            ),            legend_opts=opts.LegendOpts(pos_top='10%'),            visualmap_opts=opts.VisualMapOpts(                is_show=False,                range_color=range_color            ),        )    )

def get_polor():    polor = (        Polar()        .add("", values,type_="bar")        .set_global_opts(            legend_opts=opts.LegendOpts(is_show=False),            visualmap_opts=opts.VisualMapOpts(                is_show=False,                range_color=range_color            ),            title_opts=opts.TitleOpts(                title='6-2022年夜间风向分布',                subtitle='-- 制图@公众号：Python当打之年 --',                pos_top='1%',                pos_left="1%",            ),        )    )

def get_bar():    bar = (        Bar()        .add_xaxis(x_data)        .add_yaxis("",y_data)        .set_global_opts(            visualmap_opts=opts.VisualMapOpts(                is_show=False,                range_color=range_color            ),            legend_opts=opts.LegendOpts(is_show=False),            title_opts=opts.TitleOpts(                title='8-2018-2022年各类型天气数量',                subtitle='-- 制图@公众号：Python当打之年 --',                pos_top='1%',                pos_left="1%",            ),        )    )