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万能的python-画图

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py3study
发布2020-01-08 23:32:25
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发布2020-01-08 23:32:25
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文章被收录于专栏:python3python3

我们可以试用可视化包——Pyechart。

Echarts是百度开源的一个数据可视化JS库,主要用于数据可视化。

pyecharts是一个用于生成Echarts图标的类库。实际就是Echarts与Python的对接。

安装

pyecharts兼容Python2和Python3。执行代码:

pip install pyecharts(快捷键Windows+R——输入cmd)

初级图表

1.柱状图/条形图  

代码语言:javascript
复制
[python] view plain copy
from pyecharts import Bar  
[python] view plain copy
attr=["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"]  
v1=[5,20,36,10,75,90]  
v2=[10,25,8,60,20,80]  
bar=Bar("各商家产品销售情况")  
bar.add("商家A",attr,v1,is_stack=True)  
bar.add("商家B",attr,v2,is_stack=True)  
bar#bar.render()  
2.饼图
代码语言:javascript
复制
[python] view plain copy
from pyecharts import Pie  
attr=["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","鞋子"]  
v1=[11,12,13,10,10,10]  
pie=Pie("各产品销售情况")  
pie.add("",attr,v1,is_label_show=True)  
pie        #pie.render()  
3.圆环图
代码语言:javascript
复制
[python] view plain copy
from pyecharts import Pie  
attr=["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","鞋子"]  
v1=[11,12,13,10,10,10]  
pie=Pie("饼图—圆环图示例",title_pos="center")  
pie.add("",attr,v1,radius=[40,75],label_text_color=None,  
       is_label_show=True,legend_orient="vertical",  
       legend_pos="left")  
pie  
4.散点图
代码语言:javascript
复制
[python] view plain copy
from pyecharts import Scatter  
v1=[10,20,30,40,50,60]  
v2=[10,20,30,40,50,60]  
scatter=Scatter("散点图示例")  
scatter.add("A",v1,v2)  
scatter.add("B",v1[::-1],v2)  
scatter  
5.仪表盘
代码语言:javascript
复制
[python] view plain copy
from pyecharts import Gauge  
gauge=Gauge("业务指标完成率—仪表盘")  
gauge.add("业务指标","完成率",66.66)  
gauge  
6.热力图
代码语言:javascript
复制
[python] view plain copy
import random  
from pyecharts import HeatMap  
x_axis=[  
    "12a","1a","2a","3a","4a","5a","6a","7a","8a","9a","10a","11a",  
    "12p","1p","2p","3p","4p","5p","6p","7p","8p","9p","10p","11p",]  
y_axis=[  
    "Saturday","Friday","Thursday","Wednesday","Tuesday","Monday","Sunday"]  
data=[[i,j,random.randint(0,50)] for i in range(24) for j in range(7)]  
heatmap=HeatMap()  
heatmap.add("热力图直角坐标系",x_axis,y_axis,data,is_visualmap=True,  
           visual_text_color="#000",visual_orient="horizontal")  
heatmap  

高级图表

代码语言:javascript
复制
[python] view plain copy
from pyecharts import Funnel  
attr=["潜在","接触","意向","明确","投入","谈判","成交"]  
value=[140,120,100,80,60,40,20]  
funnel=Funnel("销售管理分析漏斗图")  
funnel.add("商品",attr,value,is_label_show=True,  
          label_pos="inside",label_text_color="#fff")  
funnel  
2.词云图
代码语言:javascript
复制
[python] view plain copy
from pyecharts import WordCloud  
name=[  
    "Sam s  Club","Macys","Amy Schumer","Jurassic World","Charter Communications",  
    "Chick Fil A","Planet Fitness","Pitch Perfect","Express","Home","Johnny Depp",  
    "Lena Dunham","Lewis Hamilton","KXAN","Mary Ellen Mark","Farrah Abraham",  
    "Rita Ora","Serena Williams","NCAA baseball tournament","Point Break"  
]  
value=[  
    10000,6181,4386,4055,2467,2244,1898,1484,1112,  
    965,847,582,555,550,462,366,360,282,273,265]  
wordcloud=WordCloud(width=1300,height=620)  
wordcloud.add("",name,value,word_size_range=[20,100])  
wordcloud  
3.组合图
代码语言:javascript
复制
[python] view plain copy
from pyecharts import Line,Pie,Grid  
line=Line("折线图",width=1200)  
attr=["周一","周二","周三","周四","周五","周六","周日"]  
line.add("最高气温",attr,[11,11,15,13,12,13,10],  
        mark_point=["max","min"],mark_line=["average"])  
line.add("最低气温",attr,[1,-2,2,5,3,2,0],  
        mark_point=["max","min"],mark_line=["average"],  
        legend_pos="20%")  
attr=["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"]  
v1=[11,12,13,10,10,10]  
pie=Pie("饼图",title_pos="55%")  
pie.add("",attr,v1,radius=[45,65],center=[65,50],  
       legend_pos="80%",legend_orient="vertical")  
grid=Grid()  
grid.add(line,grid_right="55%")  
grid.add(pie,grid_left="60%")  
grid  
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目录
  • 安装
  • 初级图表
    • 2.饼图
      • 3.圆环图
        • 4.散点图
          • 5.仪表盘
            • 6.热力图
            • 高级图表
              • 2.词云图
                • 3.组合图
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