import matplotlib.pyplot as plt import pandas import numpy as np data_set ='C:/Users/dell/Desktop/3tables.csv' names= ['0','1','2'] data_matrix = np.loadtxt(open(data_set, "rb"), delimiter=",", skiprows=0) correlations =np.corrcoef(data_matrix,rowvar=0) print(correlations) # plot correlation matrix fig = plt.figure() ax = fig.add_subplot(111) cax = ax.matshow(correlations, vmin=0.1, vmax=0.3) fig.colorbar(cax) ticks = np.arange(0,3,1) ax.set_xticks(ticks) ax.set_yticks(ticks) ax.set_xticklabels(names) ax.set_yticklabels(names) plt.show()
Correlation 矩阵可视化
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转载自blog.csdn.net/Bill_zhang5/article/details/80228441
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