我們可以試用可視化包——Pyechart。

Echarts是百度開源的一個(gè)數(shù)據(jù)可視化JS庫(kù)，主要用于數(shù)據(jù)可視化。

pyecharts是一個(gè)用于生成Echarts圖標(biāo)的類庫(kù)。實(shí)際就是Echarts與Python的對(duì)接。

安裝

pyecharts兼容Python2和Python3。執(zhí)行代碼：

pip install pyecharts(快捷鍵Windows+R——輸入cmd)

初級(jí)圖表

1.柱狀圖/條形圖from pyecharts import Barattr=["襯衫","羊毛衫","雪紡衫","褲子","高跟鞋","襪子"]

v1=[5,20,36,10,75,90]

v2=[10,25,8,60,20,80]

bar=Bar("各商家產(chǎn)品銷售情況")

bar.add("商家A",attr,v1,is_stack=True)

bar.add("商家B",attr,v2,is_stack=True)

bar#bar.render()

2.餅圖from pyecharts import Pie

attr=["襯衫","羊毛衫","雪紡衫","褲子","高跟鞋","鞋子"]

v1=[11,12,13,10,10,10]

pie=Pie("各產(chǎn)品銷售情況")

pie.add("",attr,v1,is_label_show=True)

pie #pie.render()

3.圓環(huán)圖from pyecharts import Pie

attr=["襯衫","羊毛衫","雪紡衫","褲子","高跟鞋","鞋子"]

v1=[11,12,13,10,10,10]

pie=Pie("餅圖—圓環(huán)圖示例",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.散點(diǎn)圖from pyecharts import Scatter

v1=[10,20,30,40,50,60]

v2=[10,20,30,40,50,60]

scatter=Scatter("散點(diǎn)圖示例")

scatter.add("A",v1,v2)

scatter.add("B",v1[::-1],v2)

scatter

5.儀表盤from pyecharts import Gauge

gauge=Gauge("業(yè)務(wù)指標(biāo)完成率—儀表盤")

gauge.add("業(yè)務(wù)指標(biāo)","完成率",66.66)

gauge

6.熱力圖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("熱力圖直角坐標(biāo)系",x_axis,y_axis,data,is_visualmap=True,

visual_text_color="#000",visual_orient="horizontal")

heatmap

高級(jí)圖表

1.漏斗圖from pyecharts import Funnel

attr=["潛在","接觸","意向","明確","投入","談判","成交"]

value=[140,120,100,80,60,40,20]

funnel=Funnel("銷售管理分析漏斗圖")

funnel.add("商品",attr,value,is_label_show=True,

label_pos="inside",label_text_color="#fff")

funnel

2.詞云圖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.組合圖from pyecharts import Line,Pie,Grid

line=Line("折線圖",width=1200)

attr=["周一","周二","周三","周四","周五","周六","周日"]

line.add("最高氣溫",attr,[11,11,15,13,12,13,10],

mark_point=["max","min"],mark_line=["average"])

line.add("最低氣溫",attr,[1,-2,2,5,3,2,0],

mark_point=["max","min"],mark_line=["average"],

legend_pos="20%")

attr=["襯衫","羊毛衫","雪紡衫","褲子","高跟鞋","襪子"]

v1=[11,12,13,10,10,10]

pie=Pie("餅圖",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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