pyecharts v1 版本学习笔记柱状图

最新推荐文章于 2024-12-19 15:21:41 发布

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最新推荐文章于 2024-12-19 15:21:41 发布

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CC 4.0 BY-SA版权

文章标签： python

原文链接：http://www.cnblogs.com/baili-luoyun/p/11058626.html

博客介绍了Python中柱状图的多种使用示例，包括基本演示例子、默认取消某series、不显示特定商品、显示工具箱、Y轴formatter设置、指定类型显示最大值等统计值、markline指定类型以及可滑动直方图控制等内容。

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柱状图

bar 基本演示例子

from pyecharts import options as opts
from pyecharts.charts import Bar
c =(
Bar().add_xaxis(["衬衫", "毛衣", "领带", "裤子", "风衣", "高跟鞋", "袜子"])
    .add_yaxis('商家A', [114, 55, 27, 101, 125, 27, 105])
    .add_yaxis('商家B',[57, 134, 137, 129, 145, 60, 49])
    .set_global_opts(title_opts=opts.TitleOpts(title='Bar-基本展示',subtitle='我是副标题'))




)
c.render_notebook()

默认取消某series

默认不显示B的商品

from pyecharts import options as opts
from pyecharts.charts import Bar
c =(
Bar().add_xaxis(["衬衫", "毛衣", "领带", "裤子", "风衣", "高跟鞋", "袜子"])
    .add_yaxis('商家A', [114, 55, 27, 101, 125, 27, 105])
    .add_yaxis('商家B',[57, 134, 137, 129, 145, 60, 49],is_selected=False)
    .set_global_opts(title_opts=opts.TitleOpts(title='Bar-基本展示',subtitle='我是副标题'))




)
c.render_notebook()

显示工具箱

from pyecharts.charts import Bar
c =(
Bar().add_xaxis(["衬衫", "毛衣", "领带", "裤子", "风衣", "高跟鞋", "袜子"]).
    add_yaxis('商家A', [114, 55, 27, 101, 125, 27, 105])
       .add_yaxis('商家B',[57, 134, 137, 129, 145, 60, 49])
     .set_global_opts(
            title_opts=opts.TitleOpts(title="Bar-显示 ToolBox"),
            toolbox_opts=opts.ToolboxOpts(),
            legend_opts=opts.LegendOpts(is_show=False)
        )


)
c.render_notebook()

bar Y轴formatter (y轴带坐标的)

from pyecharts.charts import Bar
c =(
Bar().add_xaxis(["衬衫", "毛衣", "领带", "裤子", "风衣", "高跟鞋", "袜子"]).
    add_yaxis('商家A', [114, 55, 27, 101, 125, 27, 105])
       .add_yaxis('商家B',[57, 134, 137, 129, 145, 60, 49])
     .set_global_opts(
           title_opts=opts.TitleOpts(title="Bar-Y 轴 formatter"),
            yaxis_opts=opts.AxisOpts(
                axislabel_opts=opts.LabelOpts(formatter="{value} /月")
            ),
        )


)
c.render_notebook()

Bar 指定类型最大值,最小值,平均值显示

from pyecharts.charts import Bar
c =(
Bar().add_xaxis(["衬衫", "毛衣", "领带", "裤子", "风衣", "高跟鞋", "袜子"]).
    add_yaxis('商家A', [114, 55, 27, 101, 125, 27, 105])
       .add_yaxis('商家B',[57, 134, 137, 129, 145, 60, 49])
     .set_global_opts(title_opts=opts.TitleOpts(title="Bar-MarkPoint（指定类型）"),
                      yaxis_opts=opts.AxisOpts(
                axislabel_opts=opts.LabelOpts(formatter="{value} /月")
            ),)
        .set_series_opts(
            label_opts=opts.LabelOpts(is_show=False),
            markpoint_opts=opts.MarkPointOpts(
                data=[
                    opts.MarkPointItem(type_="max", name="最大值"),
                    opts.MarkPointItem(type_="min", name="最小值"),
                    opts.MarkPointItem(type_="average", name="平均值"),
                ]
            ),
        )

)
c.render_notebook()

bar -markline 指定类型(划横线那种)

from pyecharts.charts import Bar
c =(
Bar().add_xaxis(["衬衫", "毛衣", "领带", "裤子", "风衣", "高跟鞋", "袜子"]).
     add_yaxis('商家A', [114, 55, 27, 101, 125, 27, 105])
       .add_yaxis('商家B',[57, 134, 137, 129, 145, 60, 49])
    .set_global_opts(title_opts=opts.TitleOpts(title='Bar-MARKline显示数据'))
    .set_series_opts(
    label_opts=opts.LabelOpts(is_show=False),
        markline_opts=opts.MarkLineOpts(
                data=[
                    opts.MarkLineItem(type_="min", name="最小值"),
                    opts.MarkLineItem(type_="max", name="最大值"),
                    opts.MarkLineItem(type_="average", name="平均值"),
                ]
            ),
    
    
    
    
    )





)
c.render_notebook()

Bar 可以滑动的直方图控制

from pyecharts.charts import Bar
c =(
Bar().add_xaxis(["衬衫", "毛衣", "领带", "裤子", "风衣", "高跟鞋", "袜子"]).
     add_yaxis('商家A', [114, 55, 27, 101, 125, 27, 105])
       .add_yaxis('商家B',[57, 134, 137, 129, 145, 60, 49])
   
.set_global_opts(
            title_opts=opts.TitleOpts(title="Bar-DataZoom（slider-垂直）"),
            datazoom_opts=opts.DataZoomOpts(orient="vertical"),
        )




)
c.render_notebook()