pd.DataFrame.rank

• pandas.DataFrame.rank(axis=0, method='average', numeric_only=NoDefault.no_default, na_option='keep', ascending=True, pct=False)

Supported Arguments

+-----------------------------+------------------------------------------------------------+ | argument | datatypes | | method | - String in {'average', 'min', 'max', 'first', 'dense'} | +-----------------------------+------------------------------------------------------------+ | na_option | - String in {'keep', 'top', 'bottom'} | +-----------------------------+------------------------------------------------------------+ | ascending | - Boolean | +-----------------------------+------------------------------------------------------------+ | pct | - Boolean | +-----------------------------+------------------------------------------------------------+

Note

• Using method='first' with ascending=False is currently unsupported.

Example Usage

>>> @bodo.jit
... def f(df):
...     return df.rank(method='dense', na_option='keep', pct=True)
>>> df = pd.DataFrame('A': [np.nan, 4, 2, 4, 8, np.nan])
>>> f(df)
    A    B
0  NaN  0.5
1  1.0  1.0
2  0.5  1.0
3  1.0  NaN