python 畫圖 圖例自由定義方式
阿新 • • 發佈:2020-04-19
我就廢話不多說了,還是直接看程式碼吧!
# -*- coding: utf-8 -*- """ Created on Wed Mar 7 13:10:21 2018 @author: su """ import numpy as np import matplotlib.pyplot as plt n_groups = 2 num_list = [0.8,0.80] num_list1 = [0.8,0.8] num_list2 = [0.9,0.9] num_list3 = [0.9,0.9] fig,ax = plt.subplots() plt.grid(True,linestyle = "-",color = "#9dbcd4",linewidth = "0.7",axis= 'y') ax = plt.gca() ax.spines['top'].set_visible(False) #去掉上邊框 ax.spines['right'].set_visible(False) #去掉右邊框 ax.spines['bottom'].set_visible(False) #去掉上邊框 ax.spines['left'].set_visible(False) #去掉右邊框 ax.tick_params(axis='y',width=0,length=0) ax.tick_params(axis='x',length=0) index = np.arange(n_groups) bar_width = 0.5 opacity = 1 rects1 = plt.bar(index,num_list,bar_width/4,alpha=opacity,color='#6B7C85',label='Logistic',hatch='') rects2 = plt.bar(index + bar_width/4,num_list1,color='#9dbcd4',label='SVM',hatch='/') rects3= plt.bar(index + bar_width/2,num_list2,color='#1f3d4b',label='CNN',hatch='-') rects4= plt.bar(index + bar_width*3/4,num_list3,color='#3f829d',label='LSTM',hatch=':') # plt.xlabel('Group') plt.ylabel('Accuracy',fontsize=18) # plt.title('Scores by group and gender') plt.xticks(index - 0.3+ bar_width,('Chinese','English'),fontsize =18) plt.yticks(fontsize =18) #change the num axis size plt.ylim(0.7,0.95) #The ceil # 設定legend plt.legend(loc='center',bbox_to_anchor=(0.5,-0.2),ncol=4,frameon=False,shadow=False) plt.tight_layout() plt.show()
去除邊框,圖例放圖下面。設定橫標線
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