Python 3下Matplotlib画图中文显示乱码的解决方法

我会带着你远行 2022-06-13 14:41 195阅读 0赞

[原文位置][Link 1]

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()

[Link 1]: http://blog.csdn.net/u012705410/article/details/47379957