pd.Series.rank

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

Supported Arguments

argument	datatypes
method	String in
na_option	String in
ascending	Boolean
pct	Boolean

Note

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

Example Usage

>>> @bodo.jit
... def f(S):
...     return S.rank(method='dense', na_option='bottom', pct=True)
>>> S = pd.Series([np.nan, 4, 2, 4, 8, np.nan])
>>> f(S)
0    1.00
1    0.50
2    0.25
3    0.50
4    0.75
5    1.00
dtype: float64