使用Python快速制作可视化报表

下列内容部分已过时，最新的git教程：https://pyecharts.org/#/zh-cn/basic_charts

出现can‘t import xxx from 的错，根据教程换下导包路径即可 如from pyecharts import Bar 改为 from pyecharts.charts import Bar

可视化包——Pyechart。

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

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。

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

from pyecharts import Bar

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

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

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

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

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

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

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

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

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