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

from pyecharts import Barattr=["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

from pyecharts import Pieattr=["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

from pyecharts import Pieattr=["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

from pyecharts import Scatterv1=[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

from pyecharts import Gaugegauge=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

import randomfrom pyecharts import HeatMapx_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

1.漏斗图

from pyecharts import Funnelattr=["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

from pyecharts import WordCloudname=[ "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

from pyecharts import Line,Pie,Gridline=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

以上这篇使用Python快速制作可视化报表的方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持。