• Pyecharts绘图笔记

    Pyecharts绘图笔记


    官网：https://pyecharts.org/#/zh-cn/intro

    柱状图

    代码

    from pyecharts.charts import Bar,Line,Grid
from pyecharts import options as opts

x = ['鸡','鸭','鱼','鹅','猪',"衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
y1 = [16,10,6,18,26,5, 20, 36, 10, 75, 90]
y2 = [12,18,12,8,20,5, 20, 36, 10, 75, 90]

bar = (
    Bar(init_opts = opts.InitOpts(width='1550px',height='750px'))
    .add_xaxis(x)
    .add_yaxis('test1',y1)
    .add_yaxis('test2',y2)
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='test',pos_left='center'),
    #显示图例，右边
    legend_opts=opts.LegendOpts(pos_right='1px'),
    #横坐标
    xaxis_opts=opts.AxisOpts(axislabel_opts={'font_size':15,'interval': 0,"rotate":90},name='动物名',name_location='middle',name_gap=40),
    #纵坐标
    yaxis_opts=opts.AxisOpts( name='sh',name_location='middle', name_gap=40),
    #滑动
    datazoom_opts=opts.DataZoomOpts(is_show=True, type_="slider",range_start=20,range_end=60)) #图例位置
    )


bar.render('test.html')

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    在这里插入图片描述
    opts.InitOpts是设置图大小，set_global_opts设置全局变量。

    堆叠柱状图

    from pyecharts.charts import Bar
from pyecharts import options as opts

x = ['鸡','鸭','鱼','鹅','猪',"衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
y1 = [16,10,6,18,26,5, 20, 36, 10, 75, 90]
y2 = [12,18,12,8,20,5, 20, 36, 10, 75, 90]

bar = (
    Bar(init_opts = opts.InitOpts(width='1550px',height='750px'))
    .add_xaxis(x)
    .add_yaxis('test1',y1,stack="stack1")
    .add_yaxis('test2',y2,stack="stack1")
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='test',pos_left='center'),
    #显示图例，右边
    legend_opts=opts.LegendOpts(pos_right='1px'),
    #横坐标
    xaxis_opts=opts.AxisOpts(axislabel_opts={'font_size':15,'interval': 0,"rotate":90},name='动物名',name_location='middle',name_gap=40),
    #纵坐标
    yaxis_opts=opts.AxisOpts( name='sh',name_location='middle', name_gap=40),
    #滑动
    datazoom_opts=opts.DataZoomOpts(is_show=True, type_="slider",range_start=20,range_end=60)) #图例位置
    )


bar.render('bar_stack.html')

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    在这里插入图片描述
    主要在add_yaxis()中加入stack=“stack1”

    翻转柱状图

    from pyecharts.charts import Bar
from pyecharts import options as opts

x = ['鸡','鸭','鱼','鹅','猪',"衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
y1 = [16,10,6,18,26,5, 20, 36, 10, 75, 90]
y2 = [12,18,12,8,20,5, 20, 36, 10, 75, 90]

bar = (
    Bar(init_opts = opts.InitOpts(width='1550px',height='750px'))
    .add_xaxis(x)
    .add_yaxis('test1',y1)
    .add_yaxis('test2',y2)
    #翻转
    .reversal_axis()
    #数字显示右边
    .set_series_opts(label_opts=opts.LabelOpts(position="right"))
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='test',pos_left='center'),
    #显示图例，右边
    legend_opts=opts.LegendOpts(pos_right='1px'),
    #横坐标
    xaxis_opts=opts.AxisOpts(axislabel_opts={'font_size':15,'interval': 0,"rotate":90},name='sh',name_location='middle',name_gap=40),
    #纵坐标
    yaxis_opts=opts.AxisOpts( name='动物名',name_location='middle', name_gap=40),
    
    ))


bar.render('barh.html')

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    在这里插入图片描述
    #翻转
    .reversal_axis()
    #数字显示右边
    .set_series_opts(label_opts=opts.LabelOpts(position=“right”))

    直方图

    from pyecharts.charts import Bar,Line,Grid
from pyecharts import options as opts

x = ['鸡','鸭','鱼','鹅','猪',"衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
y1 = [16,10,6,18,26,5, 20, 36, 10, 75, 90]
y2 = [12,18,12,8,20,5, 20, 36, 10, 75, 90]

bar = (
    Bar(init_opts = opts.InitOpts(width='1550px',height='750px'))
    .add_xaxis(x)
    .add_yaxis('test1',y1,category_gap=0)
    #.add_yaxis('test2',y2,category_gap=0)
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='test',pos_left='center'),
    #显示图例，右边
    legend_opts=opts.LegendOpts(pos_right='1px'),
    #横坐标
    xaxis_opts=opts.AxisOpts(axislabel_opts={'font_size':15,'interval': 0,"rotate":90},name='动物名',name_location='middle',name_gap=40),
    #纵坐标
    yaxis_opts=opts.AxisOpts( name='sh',name_location='middle', name_gap=40),
    
    ))


bar.render('zft.html')

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    在这里插入图片描述
    将add_yaxis中加入category_gap=0或category_gap='0%'即可，category_gap是空值柱子的宽度。

    折线图

    折线图将Bar变为Line

    from pyecharts.charts import Bar,Line,Grid
from pyecharts import options as opts

x = ['鸡','鸭','鱼','鹅','猪',"衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
y1 = [16,10,6,18,26,5, 20, 36, 10, 75, 90]
y2 = [12,18,12,8,20,5, 20, 36, 10, 75, 90]

line = (
    Line(init_opts = opts.InitOpts(width='1550px',height='750px'))
    .add_xaxis(x)
    .add_yaxis('test1',y1)
    .add_yaxis('test2',y2)
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='test',pos_left='center'),
    #显示图例，右边
    legend_opts=opts.LegendOpts(pos_right='1px'),
    #横坐标
    xaxis_opts=opts.AxisOpts(axislabel_opts={'font_size':15,'interval': 0,"rotate":90},name='动物名',name_location='middle',name_gap=40),
    #纵坐标
    yaxis_opts=opts.AxisOpts( name='sh',name_location='middle', name_gap=40),
    
    ))


line.render('line.html')

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    在这里插入图片描述

    显示

    from pyecharts.charts import Line
from pyecharts import options as opts

x_data = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
y_data = [820, 932, 901, 934, 1290, 1330, 1320]

l = (
    Line(init_opts = opts.InitOpts(width='1550px',height='750px'))
    .add_xaxis(x_data)
    .add_yaxis("test", y_data,
               #显示symbol
               is_symbol_show=True,  
               #symbol大小
               symbol_size = 10,  
               #显示symbol上的数字
               label_opts=opts.LabelOpts(is_show=True))
    .set_global_opts(
        #标题名
        title_opts=opts.TitleOpts(title='test',pos_left='center'),
        #显示图例，右边
        legend_opts=opts.LegendOpts(pos_right='1px'),
        #横坐标
        xaxis_opts=opts.AxisOpts(axislabel_opts={'font_size':15,'interval': 0,"rotate":45},name='日期',name_location='middle',name_gap=40),
        #纵坐标
        yaxis_opts=opts.AxisOpts(
            name='sh',name_location='middle', name_gap=40,
            splitline_opts=opts.SplitLineOpts(is_show=True), #显示纵坐标横线
            axisline_opts=opts.AxisLineOpts(is_show=False))  #不显示显示纵坐标竖线
        )
    #设置折线
    .set_series_opts(
        linestyle_opts=opts.LineStyleOpts(
                # 是否显示
                is_show= True,
                #线宽。
                width = 2,
                #颜色
                color='red'))
    .render("ltest.html")
    )

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    在这里插入图片描述

    散点图

    散点图将Bar变为Scatter

    from pyecharts.charts import Bar,Line,Scatter
from pyecharts import options as opts

x = ['鸡','鸭','鱼','鹅','猪',"衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
y1 = [16,10,6,18,26,5, 20, 36, 10, 75, 90]
y2 = [12,18,12,8,20,5, 20, 36, 10, 75, 90]

scatter = (
    Scatter(init_opts = opts.InitOpts(width='1550px',height='750px'))
    .add_xaxis(x)
    .add_yaxis('test1',y1)
    .add_yaxis('test2',y2)
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='test',pos_left='center'),
    #显示图例，右边
    legend_opts=opts.LegendOpts(pos_right='1px'),
    #横坐标
    xaxis_opts=opts.AxisOpts(axislabel_opts={'font_size':15,'interval': 0,"rotate":90},name='动物名',name_location='middle',name_gap=40),
    #纵坐标
    yaxis_opts=opts.AxisOpts( name='sh',name_location='middle', name_gap=40),
    
    ))


scatter.render('scatter.html')

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    在这里插入图片描述

    箱型图

    from pyecharts import options as opts
from pyecharts.charts import Boxplot
x = ["expr1", "expr2"]
y1 = [
    [850, 740, 900, 1070, 930, 850, 950, 980, 980, 880, 1000, 980],
    [960, 940, 960, 940, 880, 800, 850, 880, 900, 840, 830, 790],
]
y2 = [
    [890, 810, 810, 820, 800, 770, 760, 740, 750, 760, 910, 920],
    [890, 840, 780, 810, 760, 810, 790, 810, 820, 850, 870, 870],
]


boxplot = (
    Boxplot(init_opts = opts.InitOpts(width='1550px',height='750px'))
    .add_xaxis(x)
    .add_yaxis('test1',Boxplot.prepare_data(y1))
    .add_yaxis('test2',Boxplot.prepare_data(y2))
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='test',pos_left='center'),
    #显示图例，右边
    legend_opts=opts.LegendOpts(pos_right='1px'),
    #横坐标
    xaxis_opts=opts.AxisOpts(axislabel_opts={'font_size':15,'interval': 0,"rotate":90},name='te',name_location='middle',name_gap=40),
    #纵坐标
    yaxis_opts=opts.AxisOpts( name='sh',name_location='middle', name_gap=40),
    
    ))


boxplot.render('boxplot.html')

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    在这里插入图片描述

    其中，Boxplot.prepare_data(y1)，将y1中数据转换为嵌套的 [min, Q1, median (or Q2), Q3, max]，其中Q1是下四分位数，Q3是上四分位数

    面积图

    from pyecharts.charts import Line
from pyecharts import options as opts
 
x = ['1月','2月','3月','4月','5月','6月']
a=[12,9,6,13,10,12]
b=[8,6,10,7,9,11]
c=[11,12,9,12,13,9]
area = (
    Line()
    .add_xaxis(x)
    .add_yaxis('a', a, is_smooth=True, areastyle_opts=opts.AreaStyleOpts(opacity=0.5))
    .add_yaxis('b', b, is_smooth=True, areastyle_opts=opts.AreaStyleOpts(opacity=0.5))
    .add_yaxis('c', c, is_smooth=True, areastyle_opts=opts.AreaStyleOpts(opacity=0.5))
    .set_global_opts(title_opts=opts.TitleOpts(title="面积图"))
)
area.render("面积图.html")

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    在这里插入图片描述

    仪表盘

    from pyecharts import options as opts
from pyecharts.charts import Gauge

gauge = (
    Gauge(init_opts = opts.InitOpts(width='1550px',height='750px'))
    .add("", [("完成率", 88.6)],detail_label_opts=opts.GaugeDetailOpts(offset_center=[0,"25%"]))
    .set_global_opts(
    title_opts=opts.TitleOpts(title="gg"),
    )
    
    
)

gauge.render("gauge.html")

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    在这里插入图片描述
    其中detail_label_opts=opts.GaugeDetailOpts(offset_center=[0,“25%”])是将轮盘内数据项标签移动

    饼状图

    from pyecharts import options as opts
from pyecharts.charts import Pie

x = ['鸡','鸭','鱼','鹅','猪']
y1 = [16,10,6,18,26]
d = [(i,j) for i,j in zip(x,y1)]
pie = (
    Pie(init_opts = opts.InitOpts(width='1550px',height='750px'))
    .add("", d)
    .set_global_opts(title_opts=opts.TitleOpts(title='test',pos_left='left'))
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}  占比{d}%"))
    
)
pie.render("pie1.html")

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    在这里插入图片描述
    set_series_opts(label_opts=opts.LabelOpts(formatter=“{b}: {c} 占比{d}%”))中{b}是name，{c}数量，{d}%占比

    圆环图

    from pyecharts import options as opts
from pyecharts.charts import Pie

x = ['鸡','鸭','鱼','鹅','猪']
y1 = [16,10,6,18,26]
d = [(i,j) for i,j in zip(x,y1)]
pie = (
    Pie(init_opts = opts.InitOpts(width='1550px',height='750px'))
    .add("",d,
         radius=['50%','70%'],#第一个内半径，第二个外半径 圆环图的重要步骤！！！！
         center=['50%','50%'], #第一个横坐标，第二个纵坐标
         
         )
    .set_global_opts(title_opts=opts.TitleOpts(title='test'))
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}  占比{d}%"))
    
)
pie.render("pie2.html")

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    在这里插入图片描述
    radius=[‘50%’,‘70%’] 只要第一个不是0或0%，就说明有了内半径，就可以绘制圆环图了。

    玫瑰图

    from pyecharts import options as opts
from pyecharts.charts import Pie

x = ['鸡','鸭','鱼','鹅','猪']
y1 = [16,10,6,18,26]
d = [(i,j) for i,j in zip(x,y1)]
pie = (
    Pie(init_opts = opts.InitOpts(width='1550px',height='750px'))
    .add("",d,
         radius=['50%','70%'],#第一个内半径，第二个外半径 圆环图的重要步骤！！！！
         center=['25%','50%'], #第一个横坐标，第二个纵坐标
         rosetype='radius'
         )
    .add("",d,
         radius=['50%','70%'],#第一个内半径，第二个外半径 圆环图的重要步骤！！！！
         center=['75%','50%'], #第一个横坐标，第二个纵坐标
         rosetype='area'
         )
    .set_global_opts(title_opts=opts.TitleOpts(title='test'))
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}{d}%"))
    
)
pie.render("pie3.html")

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    在这里插入图片描述
    center=[‘75%’,‘50%’], #第一个横坐标，第二个纵坐标，是饼图的中心坐标，rosetype两种形式。

    层叠图

    需要用到层叠组件overlap

    from pyecharts.charts import Bar,Line,Grid
from pyecharts import options as opts

x = ['鸡','鸭','鱼','鹅','猪',"衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
y1 = [16,10,6,18,26,5, 20, 36, 10, 75, 90]
y2 = [12,18,12,8,20,5, 20, 36, 10, 75, 90]
y3 = [i*2 for i in range(11)]

bar = (
    Bar(init_opts = opts.InitOpts(width='1550px',height='750px'))
    .add_xaxis(x)
    .add_yaxis('test1',y1)
    .add_yaxis('test2',y2)
    #插入一个右边的坐标
    .extend_axis(
        yaxis=opts.AxisOpts(
            axislabel_opts=opts.LabelOpts(formatter="{value} yuan"), interval=4
        )
    )
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='test',pos_left='center'),
    #显示图例，右边
    legend_opts=opts.LegendOpts(pos_right='1px'),
    #横坐标
    xaxis_opts=opts.AxisOpts(axislabel_opts={'font_size':15,'interval': 0,"rotate":90},name='动物名',name_location='middle',name_gap=40),
    #纵坐标
    yaxis_opts=opts.AxisOpts( name='sh',name_location='middle', name_gap=40,axislabel_opts=opts.LabelOpts(formatter="{value} ge")),
  
     #图例位置
    ))

#折线图
line = (
        Line(init_opts = opts.InitOpts(width='1550px',height='750px'))
        .add_xaxis(x)
        .add_yaxis("jiage", y3, yaxis_index=1)) #yaxis_index=1是使用右边的纵坐标
bar.overlap(line)
bar.render('zh.html')

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    在这里插入图片描述
    相当于画两个图，用overlap进行层叠

    水平组合图grid

    from pyecharts.charts import Bar,Line,Grid,Scatter
from pyecharts import options as opts

x = ['鸡','鸭','鱼','鹅','猪',"衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
y1 = [16,10,6,18,26,5, 20, 36, 10, 75, 90]
y2 = [12,18,12,8,20,5, 20, 36, 10, 75, 90]

bar = (
    Bar()
    .add_xaxis(x)
    .add_yaxis('test1',y1)
    .add_yaxis('test2',y2)
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='test1'),
  
    #横坐标
    xaxis_opts=opts.AxisOpts(axislabel_opts={'font_size':15,'interval': 0,"rotate":90},name='动物名',name_location='middle',name_gap=40),
    #纵坐标
    yaxis_opts=opts.AxisOpts( name='sh',name_location='middle', name_gap=40),

    ))

line = (
    Line()
    .add_xaxis(x)
    .add_yaxis('test1',y1)
    .add_yaxis('test2',y2)
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='test2',pos_left='5%'),
    #显示图例，右边
    legend_opts=opts.LegendOpts(pos_right='1px'),
    #横坐标
    xaxis_opts=opts.AxisOpts(axislabel_opts={'font_size':15,'interval': 0,"rotate":90},name='动物名',name_location='middle',name_gap=40),
    #纵坐标
    yaxis_opts=opts.AxisOpts( name='sh',name_location='middle', name_gap=40),

    ))



grid = (
    Grid(init_opts = opts.InitOpts(width='1850px',height='500px'))
    
    .add(line, grid_opts=opts.GridOpts(pos_left="55%"))
    .add(bar, grid_opts=opts.GridOpts(pos_right="55%"))
    
)

grid.render('t.html')

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    在这里插入图片描述

    水平组合图grid1

    from pyecharts.charts import Bar, Line, Grid, Scatter, Pie
from pyecharts import options as opts

x1 = ['鸡', '鸭', '鱼', '鹅', '猪']
y1 = [16, 10, 6, 18, 26]
y2 = [12, 18, 12, 8, 20]

bar = (
    Bar(init_opts=opts.InitOpts(width='800px',height='400px'))
        .add_xaxis(x1)
        .add_yaxis('柱状图1', y1)
        # 全局配置
        .set_global_opts(
        # 标题名
        title_opts=opts.TitleOpts(title='柱状图',pos_top='20%', pos_left='40%'),
        # 显示图例，
        legend_opts=opts.LegendOpts(pos_top='20%', pos_left='60%'),

    ))



data = [(i, j) for i, j in zip(x1, y1)]

pie = (
    Pie(init_opts=opts.InitOpts(width='5%', height='5%'))
        .add("", data, center=['25%', '60%'], radius=['30%', '40%'])  #center是调整饼图位置
        # 全局配置
        .set_global_opts(
        # 标题名
        title_opts=opts.TitleOpts(title='饼状图', pos_top='10%'),
        # 显示图例，
        legend_opts=opts.LegendOpts(pos_top='35%', pos_left='18%'))
        .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}  占比{d}%"))

)

grid = (
    Grid(init_opts=opts.InitOpts(width='1550px',height='750px'))


        .add(bar, grid_opts=opts.GridOpts(pos_left="55%",pos_top='30%'))

        .add(pie, grid_opts=opts.GridOpts(pos_right="55%"))
)

grid.render('t11.html')


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    在这里插入图片描述

    垂直组合图grid

    from pyecharts.charts import Bar,Line,Grid,Scatter
from pyecharts import options as opts

x = ['鸡','鸭','鱼','鹅','猪',"衬衫", "羊毛衫", "雪纺衫", "裤子", "高跟鞋", "袜子"]
y1 = [16,10,6,18,26,5, 20, 36, 10, 75, 90]
y2 = [12,18,12,8,20,5, 20, 36, 10, 75, 90]

bar = (
    Bar()
    .add_xaxis(x)
    .add_yaxis('test1',y1)
    .add_yaxis('test2',y2)
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='test1'),
    #显示图例，
    legend_opts=opts.LegendOpts(pos_top='1px'),
    #横坐标
    xaxis_opts=opts.AxisOpts(axislabel_opts={'font_size':15,'interval': 0,"rotate":90},name='动物名',name_location='middle',name_gap=40),
    #纵坐标
    yaxis_opts=opts.AxisOpts( name='sh',name_location='middle', name_gap=40),

    ))

line = (
    Line()
    .add_xaxis(x)
    .add_yaxis('test1',y1)
    .add_yaxis('test2',y2)
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='test2',pos_left='5%'),
    #显示图例，右边
    legend_opts=opts.LegendOpts(pos_top="55%"),
    #横坐标
    xaxis_opts=opts.AxisOpts(axislabel_opts={'font_size':15,'interval': 0,"rotate":90},name='动物名',name_location='middle',name_gap=40),
    #纵坐标
    yaxis_opts=opts.AxisOpts( name='sh',name_location='middle', name_gap=40),

    ))



grid = (
    Grid(init_opts = opts.InitOpts(width='1100px',height='900px'))
    
    .add(line, grid_opts=opts.GridOpts(pos_top="55%"))
    .add(bar, grid_opts=opts.GridOpts(pos_bottom="55%"))
    
)

grid.render('t1.html')

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    水平垂直组合图gird

    from pyecharts.charts import Bar,Line,Grid,Scatter
from pyecharts import options as opts

x1 = ['鸡','鸭','鱼','鹅','猪']
y1 = [16,10,6,18,26]
y2 = [12,18,12,8,20]

bar = (
    Bar()
    .add_xaxis(x1)
    .add_yaxis('柱状图1',y1)
    .add_yaxis('柱状图2',y2)
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='柱状图'),
    #显示图例，
    legend_opts=opts.LegendOpts(pos_top='5%',pos_left='20%'),
    
    ))

line = (
    Line()
    .add_xaxis(x1)
    .add_yaxis('折线图test',y1,
               #显示symbol
               is_symbol_show=True,  
               #symbol大小
               symbol_size = 20,  
               #显示symbol上的数字
               label_opts=opts.LabelOpts(is_show=True))
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='折线图',pos_left='50%'),
    #显示图例，右边
    legend_opts=opts.LegendOpts(pos_top='5%',pos_left='75%'))
    #设置折线
    .set_series_opts(
        linestyle_opts=opts.LineStyleOpts(
                # 是否显示
                is_show= True,
                #线宽。
                width = 2,
                #颜色
                color='orange'))

    )

scatter = (
    Scatter()
    .add_xaxis(x1)
    .add_yaxis('散点图test',y1,symbol_size=40,color='red')
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='散点图',pos_left='50%',pos_top='50%'),
    #显示图例，右边
    legend_opts=opts.LegendOpts(pos_top='55%',pos_left='75%'),
    ))


bar1 = (
    Bar()
    .add_xaxis(x1)
    .add_yaxis('堆积柱状图test1',y1,stack="stack1")
    .add_yaxis('堆积柱状图test2',y2,stack="stack1")
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='堆积柱状图',pos_top='50%'),
    #显示图例，
    legend_opts=opts.LegendOpts(pos_top='55%',pos_left='18%'),
    
    ))


grid = (
    Grid(init_opts = opts.InitOpts(width='1800px',height='920px'))
    
    .add(line, grid_opts=opts.GridOpts(pos_bottom="60%", pos_left="60%"))  
    .add(bar, grid_opts=opts.GridOpts(pos_bottom="60%", pos_right="60%"))
    .add(scatter, grid_opts=opts.GridOpts(pos_top="60%", pos_left="60%"))
    .add(bar1, grid_opts=opts.GridOpts(pos_top="60%", pos_right="60%"))
)

grid.render('t1.html')

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    在这里插入图片描述

    水平垂直组合图-加入饼状图grid

    from pyecharts.charts import Bar,Line,Grid,Scatter,Pie
from pyecharts import options as opts

x1 = ['鸡','鸭','鱼','鹅','猪']
y1 = [16,10,6,18,26]
y2 = [12,18,12,8,20]




bar = (
    Bar()
    .add_xaxis(x1)
    .add_yaxis('柱状图1',y1)
    .add_yaxis('柱状图2',y2)
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='柱状图'),
    #显示图例，
    legend_opts=opts.LegendOpts(pos_top='5%',pos_left='20%'),
    
    ))

line = (
    Line()
    .add_xaxis(x1)
    .add_yaxis('折线图test',y1,
               #显示symbol
               is_symbol_show=True,  
               #symbol大小
               symbol_size = 20,  
               #显示symbol上的数字
               label_opts=opts.LabelOpts(is_show=True))
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='折线图',pos_left='50%'),
    #显示图例，右边
    legend_opts=opts.LegendOpts(pos_top='5%',pos_left='75%'))
    #设置折线
    .set_series_opts(
        linestyle_opts=opts.LineStyleOpts(
                # 是否显示
                is_show= True,
                #线宽。
                width = 2,
                #颜色
                color='orange'))

    )

scatter = (
    Scatter()
    .add_xaxis(x1)
    .add_yaxis('散点图test',y1,symbol_size=40,color='red')
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='散点图',pos_left='50%',pos_top='50%'),
    #显示图例，右边
    legend_opts=opts.LegendOpts(pos_top='55%',pos_left='75%'),
    ))

data = [(i,j) for i,j in zip(x1,y1)]

pie = (
    Pie(init_opts = opts.InitOpts(width='5%',height='5%'))
    .add("",data,center=['25%','80%'],radius=['0%','40%'])
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='饼状图',pos_top='50%'),
    #显示图例，
    legend_opts=opts.LegendOpts(pos_top='55%',pos_left='18%'))
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}  占比{d}%"))
    
    )


grid = (
    Grid(init_opts = opts.InitOpts(width='1800px',height='920px'))
    
    .add(line, grid_opts=opts.GridOpts(pos_bottom="60%", pos_left="60%"))  
    .add(bar, grid_opts=opts.GridOpts(pos_bottom="60%", pos_right="60%"))
    .add(scatter, grid_opts=opts.GridOpts(pos_top="60%", pos_left="60%"))
    .add(pie, grid_opts=opts.GridOpts(pos_top="60%", pos_right="60%"))
)

grid.render('t11.html')

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    在这里插入图片描述
    加入饼状图，需要在饼状图中加入center和radius参数，分别代表饼图所在的横纵坐标，和饼图的内外半径，最后布局的时候，饼图不能放在第一位，否则会报错。

    组合图Page用法之简单布局

    from pyecharts.charts import Bar,Line,Scatter,Pie,Page
from pyecharts import options as opts

x1 = ['鸡','鸭','鱼','鹅','猪']
y1 = [16,10,6,18,26]
y2 = [12,18,12,8,20]




bar = (
    Bar()
    .add_xaxis(x1)
    .add_yaxis('柱状图1',y1)
    .add_yaxis('柱状图2',y2)
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='柱状图'),
    
    
    ))

line = (
    Line()
    .add_xaxis(x1)
    .add_yaxis('折线图test',y1,
               #显示symbol
               is_symbol_show=True,  
               #symbol大小
               symbol_size = 20,  
               #显示symbol上的数字
               label_opts=opts.LabelOpts(is_show=True))
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='折线图'))
    
    #设置折线
    .set_series_opts(
        linestyle_opts=opts.LineStyleOpts(
                # 是否显示
                is_show= True,
                #线宽。
                width = 2,
                #颜色
                color='orange'))

    )

scatter = (
    Scatter()
    .add_xaxis(x1)
    .add_yaxis('散点图test',y1,symbol_size=40,color='red')
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='散点图')
    
    ))


bar1 = (
    Bar()
    .add_xaxis(x1)
    .add_yaxis('堆积柱状图test1',y1,stack="stack1")
    .add_yaxis('堆积柱状图test2',y2,stack="stack1")
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='堆积柱状图'),
  
    
    ))

data = [(i,j) for i,j in zip(x1,y1)]
data1 = [(i,j) for i,j in zip(x1,y2)]
pie = (
    Pie()
    .add("",data)
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='饼状图'),
   )
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}  占比{d}%"))
    
    )

pie1 = (
    Pie()
    .add("",data1,radius=['30%','70%'])
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='圆形图'),
   )
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}  占比{d}%"))
    
    )


#Page.SimplePageLayout是将图形放在中间，缩小图形会排成一行
#Page.DraggablePageLayout是一种拖拽布局，可随意拖拽图形，


page = (
        Page(layout=Page.SimplePageLayout)   
        .add(
            bar,
            line,
            scatter,
            bar1,
            pie,
            pie1)
        )

page.render('t11.html')

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    #Page.SimplePageLayout是将图形放在中间，缩小图形会排成一行
    在这里插入图片描述
    缩小后：
    在这里插入图片描述

    组合图Page用法之拖动布局

    from pyecharts.charts import Bar,Line,Scatter,Pie,Page
from pyecharts import options as opts

x1 = ['鸡','鸭','鱼','鹅','猪']
y1 = [16,10,6,18,26]
y2 = [12,18,12,8,20]




bar = (
    Bar()
    .add_xaxis(x1)
    .add_yaxis('柱状图1',y1)
    .add_yaxis('柱状图2',y2)
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='柱状图'),
    
    
    ))

line = (
    Line()
    .add_xaxis(x1)
    .add_yaxis('折线图test',y1,
               #显示symbol
               is_symbol_show=True,  
               #symbol大小
               symbol_size = 20,  
               #显示symbol上的数字
               label_opts=opts.LabelOpts(is_show=True))
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='折线图'))
    
    #设置折线
    .set_series_opts(
        linestyle_opts=opts.LineStyleOpts(
                # 是否显示
                is_show= True,
                #线宽。
                width = 2,
                #颜色
                color='orange'))

    )

scatter = (
    Scatter()
    .add_xaxis(x1)
    .add_yaxis('散点图test',y1,symbol_size=40,color='red')
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='散点图')
    
    ))


bar1 = (
    Bar()
    .add_xaxis(x1)
    .add_yaxis('堆积柱状图test1',y1,stack="stack1")
    .add_yaxis('堆积柱状图test2',y2,stack="stack1")
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='堆积柱状图'),
  
    
    ))

data = [(i,j) for i,j in zip(x1,y1)]
data1 = [(i,j) for i,j in zip(x1,y2)]
pie = (
    Pie()
    .add("",data)
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='饼状图'),
   )
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}  占比{d}%"))
    
    )

pie1 = (
    Pie()
    .add("",data1,radius=['30%','70%'])
    #全局配置
    .set_global_opts(
    #标题名
    title_opts=opts.TitleOpts(title='圆形图'),
   )
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}  占比{d}%"))
    
    )


#Page.SimplePageLayout是将图形放在中间，缩小图形会排成一行
#Page.DraggablePageLayout是一种拖拽布局，可随意拖拽图形，


page = (
        Page(layout=Page.DraggablePageLayout)   
        .add(
            bar,
            line,
            scatter,
            bar1,
            pie,
            pie1)
        )

page.render('t111.html')

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    在这里插入图片描述
    在这里插入图片描述
    点击save config，会生成一个chart_config.json文件，
    再输入以下代码：

    from pyecharts.charts import Page

Page.save_resize_html("t111.html",   # 之前保存的HTML文件名称
                      cfg_file="chart_config.json",  # 保存的json文件
                      dest="new_t111.html")  # 新的HTML文件名称

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    生成new_t111.html
    在这里插入图片描述
    随意缩放大小都不会改变其布局。

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  • 原文地址：https://blog.csdn.net/qq_33267306/article/details/126885101