Python 3下Matplotlib画图中文显示乱码的解决方法

原文位置

自己的python示例代码

# Required Packages
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from sklearn import datasets, linear_model
if __name__ == "__main__":


    zhfont1 = matplotlib.font_manager.FontProperties(fname='C:\Windows\Fonts\simhei.ttf')
    test_data = '../data/line.xlsx'
 data = pd.read_excel(test_data)
    m = data.__len__()  # 行数
 n = data.columns.size  # 列数
 print (m,n)
    X_data = []
    Y_data = []
    X_data_temp = data.loc[:m,u'X']
    Y_data_temp = data.loc[:m, u'Y']
for i in range(0,len(X_data_temp)):
#print (X_data_temp[i])
 X_data.append([X_data_temp[i]])
for j in range(0,len(Y_data_temp)):
#print(Y_data_temp[i])
 Y_data.append(Y_data_temp[j])
print (X_data)
print (Y_data)
#######创建线性模型#######
 regr = linear_model.LinearRegression()
    regr.fit(X_data, Y_data)
    predictions = {}
#predictions['intercept'] = regr.intercept_
 #predictions['coefficient'] = regr.coef_
 b = regr.intercept_
    a = regr.coef_[0]
print (a,',',b)
    plt.scatter(X_data, Y_data, color='blue')
    plt.plot(X_data, regr.predict(X_data), color='red', linewidth=4,label='H(x) ='+str(a)+' X+ '+str(b))

    plt.xlabel('全站点总面雨量',fontproperties=zhfont1)
    plt.ylabel('洪峰值',fontproperties=zhfont1)
    plt.legend(prop=zhfont1)
    plt.xticks(())
    plt.yticks(())
    plt.show()