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()
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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()
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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
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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
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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
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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
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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
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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
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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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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服务器之家。
原文链接：https://blog.csdn.net/weixin_41774060/article/details/79419315