VB.net 2010 视频教程 VB.net 2010 视频教程 python基础视频教程
SQL Server 2008 视频教程 c#入门经典教程 Visual Basic从门到精通视频教程
当前位置:
首页 > temp > python入门教程 >
  • 听说你不会用python画饼图?赶紧进来看一下刚出炉的教程

饼状图能够清晰的反映出各项之间、各项和总和之间的占比关系,常见的饼状图主要有以下6种类型:

1.基本饼状图

这是饼状图最常见的类型,代码如下:

'''
如有需要Python学习资料的小伙伴可以加群领取:1136201545
'''

#绘制高中同学现在职业占比饼状图
from pyecharts import options as opts
from pyecharts.charts import Pie
x=['程序员','教师','医生','护士','警察','老板','律师','翻译','运动员']
y=[18,5,3,4,8,2,2,5,1]
pie = (
    Pie()
    .add('高中同学职业占比',[(i,j)for i,j in zip(x,y)])
    .set_global_opts(title_opts=opts.TitleOpts(title="Pie-基本示例"))
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
)
pie.render_notebook()

2.调整饼图标签位置

根据需要,我们可以随意调整饼状图的位置

from pyecharts import options as opts
from pyecharts.charts import Pie
x=['程序员','教师','医生','护士','警察','老板','律师','翻译','运动员']
y=[18,5,3,4,8,2,2,5,1]
pie = (
    Pie()
    .add('高中同学职业占比',[(i,j)for i,j in zip(x,y)])
    .set_global_opts(
        title_opts=opts.TitleOpts(title="Pie-调整位置"),
        legend_opts=opts.LegendOpts(pos_left="25%"),)
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
)
pie.render_notebook()

 

图例组件离容器上下左右的距离分别用:pos_left、pos_right、pos_top、pos_bottom表示

3.设置饼图颜色

感觉默认颜色不好看?不用怕,我们换了它!

from pyecharts import options as opts
from pyecharts.charts import Pie
x=['程序员','教师','医生','护士','警察','老板','律师','翻译','运动员']
y=[18,5,3,4,8,2,2,5,1]
pie = (
    Pie()
    .add('高中同学职业占比',[(i,j)for i,j in zip(x,y)])
    .set_colors(["blue","green","yellow","red","pink","orange","purple","lilac","pansy"])
    .set_global_opts(title_opts=opts.TitleOpts(title="Pie-基本示例"))
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
)
pie.render_notebook()

4.南丁格尔图

来个造型奇特的柱状图


from pyecharts import options as opts
from pyecharts.charts import Pie
x=['程序员','教师','医生','护士','警察','老板','律师','翻译','运动员']
y=[18,5,3,4,8,2,2,5,1]
pie = (
    Pie()
    .add(
        series_name='高中同学职业占比',
        data_pair=[(i,j)for i,j in zip(x,y)],
        rosetype="radius",
        radius="85%",
        center=["50%", "50%"],
        label_opts=opts.LabelOpts(is_show=False, position="center"),)
    .set_global_opts(
        title_opts=opts.TitleOpts(
            title="Customized Pie",
            pos_left="center",
            pos_top="20",
            title_textstyle_opts=opts.TextStyleOpts(color="#fff"),
        ),
        legend_opts=opts.LegendOpts(is_show=False),
    )
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
)
pie.render_notebook()

 

rosetype:有2种类型(radius:扇区圆心角展现数据的百分比,半径展现数据的大小。area:所有扇区圆心角相同,仅通过半径展现数据大小) center:原点位置

5.标签滚动饼图

为了提高视觉效果,我们需要滚动突出某项重点

from pyecharts import options as opts
from pyecharts.charts import Pie
x=['程序员','教师','医生','护士','警察','老板','律师','翻译','运动员']
y=[18,5,3,4,8,2,2,5,1]
pie = (
    Pie()
    .add('高中同学职业占比',[(i,j)for i,j in zip(x,y)])
    .set_global_opts(
        title_opts=opts.TitleOpts(title="Pie-Legend 滚动"),
        legend_opts=opts.LegendOpts(type_="scroll", pos_left="80%", orient="vertical"),
    )
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
)
pie.render_notebook()

 

LegendOpts参数介绍:type:图例类型,'plain'代表普通图例,'scroll'代表可滚动翻页图例 pos_left:图例组件离容器左侧的距离 orient:图例列表的布局朝向。可选:'horizontal', 'vertical'

6.玫瑰花饼图

一起来感受一下饼状图的美丽吧!

from pyecharts import options as opts
from pyecharts.charts import Pie
x=['程序员','教师','医生','护士','警察','老板','律师','翻译','运动员']
y=[18,5,3,4,8,2,2,5,1]
pie = (
    Pie()
   .add(
        "",
        [(i,j)for i,j in zip(x,y)],
        radius=["30%", "75%"],
        center=["25%", "50%"],
        rosetype="radius",
        label_opts=opts.LabelOpts(is_show=False),
    )
    .add(
        "",
        [(i,j)for i,j in zip(x,y)],
        radius=["30%", "75%"],
        center=["75%", "50%"],
        rosetype="area",
    )
    .set_global_opts(title_opts=opts.TitleOpts(title="Pie-玫瑰图示例"))
    .set_series_opts(label_opts=opts.LabelOpts(formatter="{b}: {c}"))
)
pie.render_notebook()

 

radius:内半径和外半径

出处:https://www.cnblogs.com/python147/p/14549537.html


相关教程