python_plot画图参数设置

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# coding:utf-8 import pandas as pd import numpy as np import matplotlib.pyplot as plt # one_hot数据的读取 label = pd.read_csv(r'./test/y_pred.csv',header=0,index_col=0) y_test = pd.read_csv(r'./test/y_test.csv',header=0,index_col=0) label = label.values print(label.shape)   x = np.zeros([len(label[:,0])]).reshape(-1,1) print(x.shape)   n,m = label.shape   x = np.argmax(label,axis=1).reshape(-1,1) print(np.max(x)) y = np.array(y_test.values).reshape(-1,1) print(np.max(y)) source = len((x-y)[(x-y)==0])/len(x)   plt.figure('tensorflow-手写数字',figsize=(12,6)) plt.scatter(list(range(len(x))),x,c=y,label='source={0}'.format(source)) font_size = {'size':15} plt.title('one_hot-label',font_size) plt.xlabel('第i个数字',font_size) plt.ylabel('数字类别',font_size) plt.legend(loc='upper left') plt.axis([0,530,0,10]) xlabel = ['数字0','数字1','数字2','数组3','数字4','数字5','数字6','数字7','数字8','数字9'] plt.xticks(range(0,501,100),['第0个','第100个','第200个','第300个','第400个','第500个']) plt.yticks(range(10),xlabel) plt.rcParams['font.sans-serif'] = ['SimHei']  # 设置字体为SimHei显示中文 plt.rcParams['axes.unicode_minus'] = False  # 设置正常显示符号 plt.show()