python数据分析——pyecharts柱状图全解（小白必看）

我会带着你远行 2022-10-22 07:36 161阅读 0赞

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## ![a6df54871c8cffddb721bef21d0886c3.png][] ##

## **一、pyecharts简介**    ##

pyecharts主要基于Web浏览器进行显示，绘制的图形比较多，包括折线图、柱状图、饼图、漏斗图 地图和极坐标图等。使用pyecharts绘图代码量很少，但绘制的图形比较美观。

pyecharts 分为 v0.5.X 和 v1 两个大版本，v0.5.X 和 v1 间不兼容，v1 是一个全新的版本 v0.5.X支持 Python2.7，3.4+。

经开发团队决定，0.5.x 版本将不再进行维护，0.5.x 版本代码位于 05x 分支 ，v1仅支持 Python3.6+，新版本系列将从 v1.0.0 开始。

本文所讲主要基于 pyecharts 1.7.1 版本进行展示 安装命令为：

pip install pyecharts==1.7.1

**二、pyecharts柱状图/条形图全解**

## **1.基本柱状图/条形图** ##

from pyecharts import options as opts
    from pyecharts.charts import Bar
    l1=['星期一','星期二','星期三','星期四','星期五','星期七','星期日']
    l2=[100,200,300,400,500,400,300]
    bar = (
        Bar()
        .add_xaxis(l1)
        .add_yaxis("基本柱状图", l2)
        .set_global_opts(title_opts=opts.TitleOpts(title="Bar-基本示例", subtitle="我是副标题"))
    )
    bar.render_notebook()
    ‍‍

![add3d72b2442fef59d26d7704b1de294.png][]

参数介绍：

add\_xaxis:添加横坐标，需传入列表 add\_yaxis:添加纵坐标，需传入列表，切列表元素为数值

## **2.添加坐标轴名称** ##

from pyecharts import options as opts
    from pyecharts.charts import Bar
    l1=['星期一','星期二','星期三','星期四','星期五','星期七','星期日']
    l2=[100,200,300,400,500,400,300]
    bar = (
        Bar()
        .add_xaxis(l1)
        .add_yaxis("基本柱状图", l2)
        .set_global_opts(
            title_opts=opts.TitleOpts(title="Bar-基本示例"),
            yaxis_opts=opts.AxisOpts(name="人流量"),
            xaxis_opts=opts.AxisOpts(name="星期"),)
    )
    bar.render_notebook()

![267da40bccc0957b7c3fdce04b3ab4f4.png][]

## **3.多个纵坐标的柱状图/条形图** ##

from pyecharts import options as opts
    from pyecharts.charts import Bar
    l1=['星期一','星期二','星期三','星期四','星期五','星期七','星期日']
    l2=[100,200,300,400,500,400,300]
    l3=[300,400,500,400,300,200,100]
    bar = (
        Bar()
        .add_xaxis(l1)
        .add_yaxis("l2", l2)
        .add_yaxis("l3", l3)
        .set_global_opts(title_opts=opts.TitleOpts(title="Bar-基本示例", subtitle="我是副标题"),
                        toolbox_opts=opts.BrushOpts(),)
    )
    bar.render_notebook()

![4ee32122b807e41bb1b7af9adde259b4.png][]

opts.BrushOpts()为圈选工具，如图形右上角所示

## **4.设置柱状图间隔和颜色** ##

from pyecharts import options as opts
    from pyecharts.charts import Bar
    l1=['星期一','星期二','星期三','星期四','星期五','星期七','星期日']
    l2=[100,200,300,400,500,400,300]
    bar = (
        Bar()
        .add_xaxis(l1)
        .add_yaxis("l2",l2,category_gap=0, color='#FFFF00')
        .set_global_opts(title_opts=opts.TitleOpts(title="Bar-基本示例", subtitle="我是副标题"))
    )
    bar.render_notebook()

![5240ee74036fb16f943228b846d73147.png][]

category\_gap:设置间隔

color：设置柱状图颜色

## **5.横向柱状图** ##

from pyecharts import options as opts
    from pyecharts.charts import Bar
    l1=['星期一','星期二','星期三','星期四','星期五','星期七','星期日']
    l2=[100,200,300,400,500,400,300]
    l3=[300,400,500,400,300,200,100]
    bar = (
        Bar()
        .add_xaxis(l1)
        .add_yaxis("l2", l2)
        .add_yaxis("l3", l3)
        .reversal_axis()
        .set_series_opts(label_opts=opts.LabelOpts(position="right"))
        .set_global_opts(title_opts=opts.TitleOpts(title="横向柱状图"))
    )
    bar.render_notebook()

![9ecb47fdafb20b70bee0a5984c53c9ec.png][]

reversal\_axis将图形反转

position="right"表示将数值在图形右侧显示，同理left、center分别表示左侧和中间

## **6.显示最大值、最小值和平均值** ##

### **a.标记线** ###

from pyecharts import options as opts
    from pyecharts.charts import Bar
    import random
    l1=['星期一','星期二','星期三','星期四','星期五','星期七','星期日']
    l2=[100,200,300,400,500,400,300]
    bar = (
        Bar()
        .add_xaxis(l1)
        .add_yaxis("l2", l2)
        .set_global_opts(title_opts=opts.TitleOpts(title="标记线柱状图"))
        .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"),
                ]
            ),
        )
    )
    bar.render_notebook()

![13991a0848b3aff284ec93df48cd60ef.png][]

### **b.标记点** ###

from pyecharts import options as opts
    from pyecharts.charts import Bar
    import random
    l1=['星期一','星期二','星期三','星期四','星期五','星期七','星期日']
    l2=[100,200,300,400,500,400,300]
    bar = (
        Bar()
        .add_xaxis(l1)
        .add_yaxis("l2", l2)
        .set_global_opts(title_opts=opts.TitleOpts(title="标记线柱状图"))
        .set_series_opts(
            label_opts=opts.LabelOpts(is_show=False),
            markpoint_opts=opts.MarkPointOpts(
                data=[
                    opts.MarkPointItem(type_="min", name="最小值"),
                    opts.MarkPointItem(type_="max", name="最大值"),
                    opts.MarkPointItem(type_="average", name="平均值"),
                ]
            ),
        )
    )
    bar.render_notebook()

![72abd5d63069141825765e7aa64c8f7b.png][]

## **7.旋转x轴坐标** ##

from pyecharts import options as opts
    from pyecharts.charts import Bar
    import random
    l1=['很长很长很长很长很长的坐标轴{}'.format(i) for i in range(10)]
    l2=[random.choice(range(10,100,10)) for i in range(10)]
    bar = (
        Bar()
        .add_xaxis(l1)
        .add_yaxis("l2", l2)
        .set_global_opts(xaxis_opts=opts.AxisOpts(axislabel_opts=opts.LabelOpts(rotate=-15)),
                         title_opts=opts.TitleOpts(title="Bar-旋转X轴标签", subtitle="解决标签名字过长的问题"))
    )
    bar.render_notebook()

![31898d62a7cc6359d8b11fc86df6fc8d.png][]

rotate=-15表示将坐标轴逆时针旋转15度

## **8.横坐标缩放** ##

### **a.整体缩放（type\_="inside"）** ###

from pyecharts import options as opts
    from pyecharts.charts import Bar
    import random
    l1=['{}日'.format(i) for i in range(1,31)]
    l2=[random.choice(range(100,3100,100)) for i in range(1,31)]
    bar = (
        Bar()
        .add_xaxis(l1)
        .add_yaxis("l2", l2)
        .set_global_opts(title_opts=opts.TitleOpts(title="区域缩放柱状图"),
                         datazoom_opts=opts.DataZoomOpts(type_="inside"))
    )
    bar.render_notebook()

![7de08dbff64102940f21ca7e1a0a5b7b.png][]

### **b.左右滑动缩放** ###

![fcf7cb0cf135005e309d5e5b67cd3cd3.png][]

本次主要介绍了pyecharts柱状图的常见形式，后续会出来pyecharts柱状图的高阶用法，敬请关注！

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