使用Python快速制作可视化报表的方法

今天小编就为大家分享一篇使用Python快速制作可视化报表的方法，具有很好的参考价值，希望对大家有所帮助。一起跟随小编过来看看吧

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 Bar 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()

Python 可视化报表

2.饼图

 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()

Python 可视化报表

3.圆环图

 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

Python 可视化报表

4.散点图

 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

Python 可视化报表

5.仪表盘

 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

Python 可视化报表

6.热力图

 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

Python 可视化报表

高级图表

1.漏斗图

 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

Python 可视化报表

 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

Python 可视化报表

3.组合图

 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

Python 可视化报表