python pyecharts 多图叠加 bar和line叠加在一张图上

 
先准备一个bar图

import pyecharts.options as opts

from pyecharts.charts import Bar, Line



x_data = ["1月", "2月", "3月", "4月", "5月", "6月", "7月", "8月", "9月", "10月", "11月", "12月"]



bar = (

    Bar(init_opts=opts.InitOpts(width="1600px", height="800px"))

    .add_xaxis(xaxis_data=x_data)

    .add_yaxis(

        series_name="蒸发量",

        y_axis=[

            2.0,

            4.9,

            7.0,

            23.2,

            25.6,

            76.7,

            135.6,

            162.2,

            32.6,

            20.0,

            6.4,

            3.3,

        ],

        label_opts=opts.LabelOpts(is_show=False),

    )

    .add_yaxis(

        series_name="降水量",

        y_axis=[

            2.6,

            5.9,

            9.0,

            26.4,

            28.7,

            70.7,

            175.6,

            182.2,

            48.7,

            18.8,

            6.0,

            2.3,

        ],

        label_opts=opts.LabelOpts(is_show=False),

    )

    .extend_axis(

        yaxis=opts.AxisOpts(

            name="温度",

            type_="value",

            min_=0,

            max_=25,

            interval=5,

            axislabel_opts=opts.LabelOpts(formatter="{value} °C"),

        )

    )

    .set_global_opts(

        tooltip_opts=opts.TooltipOpts(

            is_show=True, trigger="axis", axis_pointer_type="cross"

        ),

        xaxis_opts=opts.AxisOpts(

            type_="category",

            axispointer_opts=opts.AxisPointerOpts(is_show=True, type_="shadow"),

        ),

        yaxis_opts=opts.AxisOpts(

            name="水量",

            type_="value",

            min_=0,

            max_=250,

            interval=50,

            axislabel_opts=opts.LabelOpts(formatter="{value} ml"),

            axistick_opts=opts.AxisTickOpts(is_show=True),

            splitline_opts=opts.SplitLineOpts(is_show=True),

        ),

    )

)

再加一个折线图

line = (

    Line()

    .add_xaxis(xaxis_data=x_data)

    .add_yaxis(

        series_name="平均温度",

        yaxis_index=1,

        y_axis=[2.0, 2.2, 3.3, 4.5, 6.3, 10.2, 20.3, 23.4, 23.0, 16.5, 12.0, 6.2],

        label_opts=opts.LabelOpts(is_show=False),

    )

)

然后使用overlap 函数叠加在一起
 

bar.overlap(line).render_notebook()