python报表可视化（使用Python快速制作可视化报表的方法）

python报表可视化

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

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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()

2.饼图

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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()

3.圆环图

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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

4.散点图

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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

5.仪表盘

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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

6.热力图

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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

高级图表

1.漏斗图

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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

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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

3.组合图

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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

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原文链接：https://blog.csdn.net/weixin_41774060/article/details/79419315