DataFrameGroupBy.idxmax(axis=0, skipna=True) Return index of first occurrence of maximum over requested

pandas.eval(expr, parser='pandas', engine=None, truediv=True, local_dict=None, global_dict=None, resolvers=(), level=0, target=None, inplace=None)

Series.str.count(pat, flags=0, **kwargs)

Series.notnull()

pandas.merge(left, right, how='inner', on=None, left_on=None, right_on=None, left_index=False, right_index=False, sort=False, suffixes=('_x', '_y')

Panel4D.notnull()

Panel4D.interpolate(method='linear', axis=0, limit=None, inplace=False, limit_direction='forward', downcast=None, **kwargs)

Series.ffill(axis=None, inplace=False, limit=None, downcast=None)

CategoricalIndex.intersection(other)

MultiIndex.to_datetime(dayfirst=False)