万能的python-画图

发布时间：2019-09-12 07:58:26编辑：auto阅读（2607）

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

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1. from pyecharts import Bar  

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1. attr=["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"]  
2. v1=[5,20,36,10,75,90]  
3. v2=[10,25,8,60,20,80]  
4. bar=Bar("各商家产品销售情况")  
5. bar.add("商家A",attr,v1,is_stack=True)  
6. bar.add("商家B",attr,v2,is_stack=True)  
7. bar#bar.render()  




2.饼图

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1. from pyecharts import Pie  
2. attr=["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","鞋子"]  
3. v1=[11,12,13,10,10,10]  
4. pie=Pie("各产品销售情况")  
5. pie.add("",attr,v1,is_label_show=True)  
6. pie        #pie.render()  







3.圆环图

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1. from pyecharts import Pie  
2. attr=["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","鞋子"]  
3. v1=[11,12,13,10,10,10]  
4. pie=Pie("饼图—圆环图示例",title_pos="center")  
5. pie.add("",attr,v1,radius=[40,75],label_text_color=None,  
6.        is_label_show=True,legend_orient="vertical",  
7.        legend_pos="left")  
8. pie  




4.散点图

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1. from pyecharts import Scatter  
2. v1=[10,20,30,40,50,60]  
3. v2=[10,20,30,40,50,60]  
4. scatter=Scatter("散点图示例")  
5. scatter.add("A",v1,v2)  
6. scatter.add("B",v1[::-1],v2)  
7. scatter  




5.仪表盘

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1. from pyecharts import Gauge  
2. gauge=Gauge("业务指标完成率—仪表盘")  
3. gauge.add("业务指标","完成率",66.66)  
4. gauge  




6.热力图

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1. import random  
2. from pyecharts import HeatMap  
3. x_axis=[  
4.     "12a","1a","2a","3a","4a","5a","6a","7a","8a","9a","10a","11a",  
5.     "12p","1p","2p","3p","4p","5p","6p","7p","8p","9p","10p","11p",]  
6. y_axis=[  
7.     "Saturday","Friday","Thursday","Wednesday","Tuesday","Monday","Sunday"]  
8. data=[[i,j,random.randint(0,50)] for i in range(24) for j in range(7)]  
9. heatmap=HeatMap()  
10. heatmap.add("热力图直角坐标系",x_axis,y_axis,data,is_visualmap=True,  
11.            visual_text_color="#000",visual_orient="horizontal")  
12. heatmap  



高级图表

1.漏斗图

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1. from pyecharts import Funnel  
2. attr=["潜在","接触","意向","明确","投入","谈判","成交"]  
3. value=[140,120,100,80,60,40,20]  
4. funnel=Funnel("销售管理分析漏斗图")  
5. funnel.add("商品",attr,value,is_label_show=True,  
6.           label_pos="inside",label_text_color="#fff")  
7. funnel  




2.词云图

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1. from pyecharts import WordCloud  
2. name=[  
3.     "Sam s  Club","Macys","Amy Schumer","Jurassic World","Charter Communications",  
4.     "Chick Fil A","Planet Fitness","Pitch Perfect","Express","Home","Johnny Depp",  
5.     "Lena Dunham","Lewis Hamilton","KXAN","Mary Ellen Mark","Farrah Abraham",  
6.     "Rita Ora","Serena Williams","NCAA baseball tournament","Point Break"  
7. ]  
8. value=[  
9.     10000,6181,4386,4055,2467,2244,1898,1484,1112,  
10.     965,847,582,555,550,462,366,360,282,273,265]  
11. wordcloud=WordCloud(width=1300,height=620)  
12. wordcloud.add("",name,value,word_size_range=[20,100])  
13. wordcloud  




3.组合图

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1. from pyecharts import Line,Pie,Grid  
2. line=Line("折线图",width=1200)  
3. attr=["周一","周二","周三","周四","周五","周六","周日"]  
4. line.add("最高气温",attr,[11,11,15,13,12,13,10],  
5.         mark_point=["max","min"],mark_line=["average"])  
6. line.add("最低气温",attr,[1,-2,2,5,3,2,0],  
7.         mark_point=["max","min"],mark_line=["average"],  
8.         legend_pos="20%")  
9. attr=["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"]  
10. v1=[11,12,13,10,10,10]  
11. pie=Pie("饼图",title_pos="55%")  
12. pie.add("",attr,v1,radius=[45,65],center=[65,50],  
13.        legend_pos="80%",legend_orient="vertical")  
14. grid=Grid()  
15. grid.add(line,grid_right="55%")  
16. grid.add(pie,grid_left="60%")  
17. grid  

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