I've tried to find a way to display correlation coefficients in the lower or upper tri of a pandas scatter matrix - can someone point me in the right direction? Thank you.
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问题:
回答1:
A working minimal example
import matplotlib.pyplot as plt import pandas as pd import numpy as np from pandas.tools.plotting import scatter_matrix df = pd.DataFrame(np.random.randn(100, 4), columns=['a', 'b', 'c', 'd']) axes = scatter_matrix(df, alpha=0.5, diagonal='kde') corr = df.corr().as_matrix() for i, j in zip(*plt.np.triu_indices_from(axes, k=1)): axes[i, j].annotate("%.3f" %corr[i,j], (0.8, 0.8), xycoords='axes fraction', ha='center', va='center') plt.show()
