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.