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')

pandas.get_dummies(data, prefix=None, prefix_sep='_', dummy_na=False, columns=None, sparse=False, drop_first=False)

pandas.factorize(values, sort=False, order=None, na_sentinel=-1, size_hint=None)

pandas.merge_ordered(left, right, on=None, left_on=None, right_on=None, left_by=None, right_by=None, fill_method=None, suffixes=('_x', '_y')

pandas.to_timedelta(*args, **kwargs)

pandas.melt(frame, id_vars=None, value_vars=None, var_name=None, value_name='value', col_level=None)

pandas.merge_asof(left, right, on=None, left_on=None, right_on=None, left_index=False, right_index=False, by=None, left_by=None, right_by=None

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

pandas.infer_freq(index, warn=True)

pandas.qcut(x, q, labels=None, retbins=False, precision=3)