融化pandas数据框的上三角矩阵

首先，我将的较低值转换

df

NaN

where

numpy.triu

stack

reset_index

import numpy as npprint df     a    b    ca  1.0  0.5  0.3b  0.5  1.0  0.4c  0.3  0.4  1.0print np.triu(np.ones(df.shape)).astype(np.bool)[[ True  True  True] [False  True  True] [False False  True]]df = df.where(np.triu(np.ones(df.shape)).astype(np.bool))print df    a    b    ca   1  0.5  0.3b NaN  1.0  0.4c NaN  NaN  1.0df = df.stack().reset_index()df.columns = ['Row','Column','Value']print df  Row Column  Value0   a      a    1.01   a      b    0.52   a      c    0.33   b      b    1.04   b      c    0.45   c      c    1.0