使用Python快速制作可视化报表

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&＃xff0c;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&＃xff1a;

pip install pyecharts(快捷键Windows&＃43;R——输入cmd)

初级图表

1.柱状图/条形图

from pyecharts import Bar

1. attr&＃61;["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"]

2. v1&＃61;[5,20,36,10,75,90]

3. v2&＃61;[10,25,8,60,20,80]

4. bar&＃61;Bar("各商家产品销售情况")

5. bar.add("商家A",attr,v1,is_stack&＃61;True)

6. bar.add("商家B",attr,v2,is_stack&＃61;True)

7. bar#bar.render()

2.饼图

1. from pyecharts import Pie

2. attr&＃61;["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","鞋子"]

3. v1&＃61;[11,12,13,10,10,10]

4. pie&＃61;Pie("各产品销售情况")

5. pie.add("",attr,v1,is_label_show&＃61;True)

6. pie #pie.render()

3.圆环图

1. from pyecharts import Pie

2. attr&＃61;["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","鞋子"]

3. v1&＃61;[11,12,13,10,10,10]

4. pie&＃61;Pie("饼图—圆环图示例",title_pos&＃61;"center")

5. pie.add("",attr,v1,radius&＃61;[40,75],label_text_color&＃61;None,

6. is_label_show&＃61;True,legend_orient&＃61;"vertical",

7. legend_pos&＃61;"left")

8. pie

4.散点图

1. from pyecharts import Scatter

2. v1&＃61;[10,20,30,40,50,60]

3. v2&＃61;[10,20,30,40,50,60]

4. scatter&＃61;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&＃61;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&＃61;[

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&＃61;[

7. "Saturday","Friday","Thursday","Wednesday","Tuesday","Monday","Sunday"]

8. data&＃61;[[i,j,random.randint(0,50)] for i in range(24) for j in range(7)]

9. heatmap&＃61;HeatMap()

10. heatmap.add("热力图直角坐标系",x_axis,y_axis,data,is_visualmap&＃61;True,

11. visual_text_color&＃61;"#000",visual_orient&＃61;"horizontal")

12. heatmap

高级图表

1.漏斗图

1. from pyecharts import Funnel

2. attr&＃61;["潜在","接触","意向","明确","投入","谈判","成交"]

3. value&＃61;[140,120,100,80,60,40,20]

4. funnel&＃61;Funnel("销售管理分析漏斗图")

5. funnel.add("商品",attr,value,is_label_show&＃61;True,

6. label_pos&＃61;"inside",label_text_color&＃61;"#fff")

7. funnel

2.词云图

1. from pyecharts import WordCloud

2. name&＃61;[

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&＃61;[

9. 10000,6181,4386,4055,2467,2244,1898,1484,1112,

10. 965,847,582,555,550,462,366,360,282,273,265]

11. wordcloud&＃61;WordCloud(width&＃61;1300,height&＃61;620)

12. wordcloud.add("",name,value,word_size_range&＃61;[20,100])

13. wordcloud

3.组合图

1. from pyecharts import Line,Pie,Grid

2. line&＃61;Line("折线图",width&＃61;1200)

3. attr&＃61;["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&＃61;["max","min"],mark_line&＃61;["average"])

6. line.add("最低气温",attr,[1,-2,2,5,3,2,0],

7. mark_point&＃61;["max","min"],mark_line&＃61;["average"],

8. legend_pos&＃61;"20%")

9. attr&＃61;["衬衫","羊毛衫","雪纺衫","裤子","高跟鞋","袜子"]

10. v1&＃61;[11,12,13,10,10,10]

11. pie&＃61;Pie("饼图",title_pos&＃61;"55%")

12. pie.add("",attr,v1,radius&＃61;[45,65],center&＃61;[65,50],

13. legend_pos&＃61;"80%",legend_orient&＃61;"vertical")

14. grid&＃61;Grid()

15. grid.add(line,grid_right&＃61;"55%")

16. grid.add(pie,grid_left&＃61;"60%")

17. grid