GR        IT
        1980-01-01       NaN       NaN       NaN
        1980-02-01  0.013810  0.013684  0.006549
        1980-03-01  0.053365  0.059318  0.061876

        Percentage of change in GOOG and APPL stock volume. Shows computing
        the percentage change between columns.

        >>> df = pd.DataFrame({
        ...     '2016': [1769950, 30586265],
        ...     '2015': [1500923, 40912316],
        ...     '2014': [1371819, 41403351]},
        ...     index=['GOOG', 'APPL'])
        >>> df
                  2016      2015      2014
        GOOG   1769950   1500923   1371819
        APPL  30586265  40912316  41403351

        >>> df.pct_change(axis='columns', periods=-1)
                  2016      2015  2014
        GOOG  0.179241  0.094112   NaN
        APPL -0.252395 -0.011860   NaN
        NzDThe 'fill_method' keyword being not None and the 'limit' keyword in z½.pct_change are deprecated and will be removed in a future version. Either fill in any non-leading NA values prior to calling pct_change or specify 'fill_method=None' to not fill NA values.rñ