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我們可以試用可視化包——Pyechart。
Echarts是百度開源的一個數(shù)據(jù)可視化JS庫,主要用于數(shù)據(jù)可視化。
pyecharts是一個用于生成Echarts圖標的類庫。實際就是Echarts與Python的對接。
安裝
pyecharts兼容Python2和Python3。執(zhí)行代碼:
pip install pyecharts(快捷鍵Windows+R——輸入cmd)
初級圖表
1.柱狀圖/條形圖
from pyecharts import Bar attr=["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.散點圖
from pyecharts import Scatter v1=[10,20,30,40,50,60] v2=[10,20,30,40,50,60] scatter=Scatter("散點圖示例") scatter.add("A",v1,v2) scatter.add("B",v1[::-1],v2) scatter
5.儀表盤
from pyecharts import Gauge gauge=Gauge("業(yè)務指標完成率—儀表盤") gauge.add("業(yè)務指標","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("熱力圖直角坐標系",x_axis,y_axis,data,is_visualmap=True, visual_text_color="#000",visual_orient="horizontal") heatmap
高級圖表
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
以上這篇使用Python快速制作可視化報表的方法就是小編分享給大家的全部內(nèi)容了,希望能給大家一個參考,也希望大家多多支持億速云。
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