强大好用的python绘图

强大好用的pythob绘图&＃xff0c;对于测试人员来说也是常用的库&＃xff0c;更好的输出测试结果&＃xff0c;呈现出来的测试报告不仅高大上&＃xff0c;而且数据清晰一目了然&＃xff0c;加分不少&＃xff0c;直接上代码&＃xff1a;

#coding&＃61;utf-8
import pandas as pd
import numpy as np
import time
import matplotlib.pyplot as plt
from pyecharts import Map
import pylab
from PIL import Image
from pyecharts import WordCloud
from pyecharts.engine import create_default_environment
import random
def num():plt.rcParams[&＃39;savefig.dpi&＃39;] &＃61; 100 #图片像素plt.rcParams[&＃39;figure.dpi&＃39;] &＃61; 100 #分辨率# mpl.use(&＃39;Agg&＃39;)# custom_font &＃61; mpl.font_manager.FontProperties(fname&＃61;&＃39;zh.ttf&＃39;)dic1&＃61;{"name":["charlie","wang","jason","born"],"age":[17,24,23,36]}dic2&＃61;{"name":["charlie","wang","jason","born"],"age":[20,4,9,13]}df3 &＃61; pd.DataFrame(dic1)df1&＃61;pd.DataFrame([["charlie","wang","jason","born"],[1,2,3,4],["beijing","tokyo","france","london"],["facebook","twitter","wechat","weiboc"]],index&＃61;("name","class","city","tool"),columns&＃61;("A","B","C","D"))print (df3)print (df1)print (df3.dtypes)print (df3.index)print (df3.values)print (df3.columns)print (df3[&＃39;name&＃39;].values)print (df3.T)reportdata&＃61;{&＃39;date&＃39;: &＃39;20191128&＃39;, &＃39;online&＃39;: [[1, 6, 3, 10], [2, 2, 1, 5], [2, 1, 3, 6], [1, 0, 1, 2], [1, 0, 1, 2], [0, 2, 3, 5], [0, 6, 3, 9], [3, 12, 2, 17], [5, 16, 3, 24], [3, 16, 6, 25], [5, 16, 6, 27], [5, 15, 5, 25], [5, 5, 2, 12], [2, 5, 2, 9], [0, 4, 3, 7], [0, 2, 2, 4], [1, 5, 1, 7], [3, 8, 5, 16], [3, 7, 8, 18], [2, 4, 6, 12], [2, 6, 3, 11], [3, 8, 3, 14], [4, 10, 3, 17], [4, 11, 5, 20]]}data &＃61; []group1&＃61;[]group2&＃61;[]group3&＃61;[]info &＃61; reportdata["online"]for i in info:data.append(i[3])group1.append(i[0])group2.append(i[1])group3.append(i[2])##新建画布,添加子图fig &＃61; plt.figure()#在plt中&＃xff0c;figure是整个画布&＃xff0c;想要在画布上绘制多个子图axes&＃xff0c;用fig.add_subplot&＃xff08;&＃xff09;ax1 &＃61; fig.add_subplot(2,2,1) # 画2行1列个图形的第1个ax2 &＃61; fig.add_subplot(2,2,2) # 画2行1列个图形的第2个ax3 &＃61; fig.add_subplot(2,2,3)ax4 &＃61; fig.add_subplot(2,2,4)###调整子图布局plt.subplots_adjust(hspace&＃61;0.25,wspace&＃61;0.15,left&＃61;0.05,bottom&＃61;0.03, right&＃61;0.97,top&＃61;0.97)##子图1 折线图ax1.plot(dic1["name"], dic1["age"],c&＃61;"red",label&＃61;"2018",linewidth &＃61; 0.5)ax1.plot(dic2["name"], dic2["age"],"--",c&＃61;"blue",label&＃61;"2019")#legend()显示label&＃xff0c;并可以设置显示的位置ax1.legend(loc&＃61;"best")##子图2 柱图bar_width &＃61; 0.3#bar 宽度值x&＃61; np.arange(24) #x轴valuez1&＃61;ax2.bar(x,group1,bar_width,tick_label&＃61;x,label&＃61;&＃39;charlie&＃39;,fc&＃61;"c")#第一个barz2&＃61;ax2.bar(x&＃43;bar_width, group2, bar_width, align&＃61;"center",label&＃61;"semona",fc&＃61;"red")#bar在x轴起始位置,y轴数据(bar高度),宽度,柱图的中点位置z3&＃61;ax2.bar(x&＃43;bar_width&＃43;bar_width, group3, bar_width, align&＃61;"center",label&＃61;"jessy",fc&＃61;"green")# plt.title(u"在线时段",fontproperties&＃61;custom_font)for a, b,c,d in zip(x, group1,group2,group3):#zip将传入的数据打包成元祖,循环添加数字ax2.text(a, b &＃43; 0.05, &＃39;%.0f&＃39; % b, ha&＃61;&＃39;center&＃39;, va&＃61;&＃39;bottom&＃39;, color&＃61;"r",fontsize&＃61;10)ax2.text(a&＃43;bar_width, c &＃43; 0.05, &＃39;%.0f&＃39; % c, ha&＃61;&＃39;center&＃39;, va&＃61;&＃39;bottom&＃39;, fontsize&＃61;10)#上标在x轴的起始点,注释高度,精度,要显示的值,水平位置,垂直位置,cloor,文字大小ax2.text(a&＃43;bar_width*2, d &＃43; 0.05, &＃39;%.0f&＃39; % d, ha&＃61;&＃39;center&＃39;, va&＃61;&＃39;bottom&＃39;, fontsize&＃61;10)ax2.legend(loc&＃61;"upper left")#显示图注,不调用legend()方法设置了labe也不会显示##子图3 饼图ax3.pie(x&＃61;dic1["age"],labels&＃61;dic1["name"],explode &＃61; [0,0.05,0,0],autopct&＃61;"%0.2f%%",frame&＃61;True)#x,数据,labels数据注释,autopct显示精度,explode炸出一块图,frame整图加外框ax3.legend(loc&＃61;"upper left")#图注的位置ax3.axis(&＃39;equal&＃39;)#饼图这里x,y轴设备相等才是圆形##子图4 多条折线图ax4.plot(range(24),data,"-",c&＃61;"red",label&＃61;"Total",marker&＃61;&＃39;.&＃39;,linewidth &＃61; 2)ax4.plot(range(24),group1,"--",c&＃61;"blue",label&＃61;"group_1",marker&＃61;&＃39;.&＃39;)ax4.plot(range(24),group2,"-.",c&＃61;"green",label&＃61;"group_2",marker&＃61;&＃39;.&＃39;)ax4.plot(range(24),group3,":",c&＃61;"c",label&＃61;"group_3",marker&＃61;&＃39;.&＃39;)#x轴数据,y轴数据,折线样式,折线颜色,折现标注,折线位点标志,折线粗度,##c 青色 m 玫红plt.xticks(range(0,24, 1))#x轴刻度,这里要用plt才生效ax4.legend(loc&＃61;"best")plt.savefig(&＃39;scores_par.png&＃39;)plt.show()
##地图
def map():value &＃61; [95.1, 23.2, 43.3, 66.4, 88.5]attr &＃61; ["China", "Canada", "Brazil", "Russia", "United States"]map0 &＃61; Map("世界地图示例", width&＃61;1200, height&＃61;600)map0.add("世界地图", attr, value, maptype&＃61;"world", is_visualmap&＃61;True, visual_text_color&＃61;&＃39;#000&＃39;)map0.render(path&＃61;"世界地图.html")province_distribution &＃61; {&＃39;河南&＃39;: 45.23, &＃39;北京&＃39;: 37.56, &＃39;河北&＃39;: 21, &＃39;辽宁&＃39;: 12, &＃39;江西&＃39;: 6, &＃39;上海&＃39;: 20, &＃39;安徽&＃39;: 10, &＃39;江苏&＃39;: 16, &＃39;湖南&＃39;: 9,&＃39;浙江&＃39;: 13, &＃39;海南&＃39;: 2, &＃39;广东&＃39;: 22, &＃39;湖北&＃39;: 8, &＃39;黑龙江&＃39;: 11, &＃39;澳门&＃39;: 1, &＃39;陕西&＃39;: 11, &＃39;四川&＃39;: 7, &＃39;内蒙古&＃39;: 3, &＃39;重庆&＃39;: 3,&＃39;云南&＃39;: 6, &＃39;贵州&＃39;: 2, &＃39;吉林&＃39;: 3, &＃39;山西&＃39;: 12, &＃39;山东&＃39;: 11, &＃39;福建&＃39;: 4, &＃39;青海&＃39;: 1, &＃39;天津&＃39;: 1,&＃39;其他&＃39;: 1}provice &＃61; list(province_distribution.keys())values &＃61; list(province_distribution.values())map1 &＃61; Map("中国地图", &＃39;中国地图&＃39;, width&＃61;1200, height&＃61;600)map1.add("", provice, values, visual_range&＃61;[0, 50], maptype&＃61;&＃39;china&＃39;, is_visualmap&＃61;True,visual_text_color&＃61;&＃39;#000&＃39;)map1.render(path&＃61;"中国地图.html")fig &＃61; plt.figure()ax1 &＃61; fig.add_subplot(2,1,1)ax2 &＃61; fig.add_subplot(2,1,2)ax1&＃61;Image.open("./世界地图示例.png")ax2&＃61;Image.open("./中国地图.png")plt.imshow(ax1)plt.imshow(ax2)plt.axis(&＃39;off&＃39;)pylab.show()
##词云
def cloud():
# name &＃61;[&＃39;Lady Gaga&＃39;, &＃39;Jay-Z&＃39;, &＃39;Chalie Puth&＃39;, &＃39;Sam Smith&＃39;, &＃39;Justin Timberlake&＃39;, &＃39;Bruno Mars&＃39;, &＃39;Prince&＃39;, &＃39;Imagine Dragons&＃39;,&＃39; Travis Scott&＃39;,# &＃39;Adele Adkins&＃39;, &＃39;Lorde&＃39;, &＃39;Demi Lovato&＃39;, &＃39;Nicki Minaj&＃39;, &＃39;Ariana Grande&＃39;, &＃39;Taylor Swift&＃39;, &＃39;P!nk&＃39;, &＃39;Zedd&＃39;,&＃39; Innov Gnawa&＃39;,&＃39;Lady Antebellum&＃39;,# &＃39;Katy Perry&＃39;, &＃39;Selena Gomez&＃39;, &＃39;Rita Ora&＃39;, &＃39;Lana Del Rey&＃39;, &＃39;Rihanna&＃39;, &＃39;Chris Brown&＃39;,&＃39;Khalid&＃39;,&＃39;Ke$ha&＃39;,&＃39;SZA&＃39;,&＃39;Beyoncé&＃39;,# &＃39;One Derction&＃39;,&＃39;Ed Shreed&＃39;,&＃39;westlife&＃39;,&＃39;Avril Lavigne&＃39;,&＃39;Adam Lambert&＃39;,&＃39;Marron 5&＃39;,&＃39;Adam Levine&＃39;,&＃39;Cold Play&＃39;,&＃39;Zayn&＃39;,#&＃39;QUEEN&＃39;,&＃39;Iggy Azalea&＃39;,&＃39;Paloma Faith&＃39;,&＃39;Pitbull&＃39;,&＃39;Gwen Stefani&＃39;]name &＃61; ["蓝超巨星","激发态","维多利亚多管水母","傅里叶","飞鸟时期","Vincent van Gogh","木卫一","大天使米迦勒","猎户座","干细胞","减数分裂","uranus","芥川龙之介","金刚怒目","菩萨低眉","卡拉瓦乔","十七贴","矮大紧","苏麻离青","格里芬"]value &＃61; []for i in name:value.append(random.randint(300,1100))#value &＃61;[10000, 6181, 4386, 4055, 2467, 2244, 1898, 1484, 1112, 965, 847, 582, 555, 550, 462, 366, 360, 282, 273, 265]wordcloud &＃61;WordCloud(width&＃61;820, height&＃61;1780 )wordcloud.add("", name, value, word_size_range&＃61;[10, 40])wordcloud.shape&＃61;&＃39;triangleforward&＃39;#wordcloud.show_config()wordcloud.render(path&＃61;"cloud.html")
if __name__ &＃61;&＃61; "__main__":# map()num()# cloud()


最终呈现&＃xff1a;

常规的一些数据&＃xff0c;柱图折线图基本可以满足&＃xff0c;


词云图&＃xff0c;右边刷新按钮点击可以变换排列的方式&＃xff0c;


呈现热力图等等来说也非常便捷