使用Python快速制作可视化报表的方法

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