Pandas functions you might use on rare occasions.

You might have never heard of these


idxmin() and idxmax()

Series.idxmin(self, axis=0, skipna=True, *args, **kwargs)


pandas.cut(x, bins, right=True, labels=None, retbins=False, precision=3, include_lowest=False, duplicates='raise')


DataFrame.pivot_table(self, values=None, index=None, columns=None, aggfunc='mean', fill_value=None, margins=False, dropna=True, margins_name='All', observed=False)



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