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E.g.
df = pd.DataFrame({'a': [1, 2], 'b': [3, 4]}) print(df.apply('pct_change', axis=0)) print(df.apply('pct_change', axis=1))
both give the output
a b 0 NaN NaN 1 1.0 0.333333
This should instead raise rather than silently give incorrect results.