pandas.core.window.expanding.Expanding.rank
- Expanding. rank ( method='average', ascending=True, pct=False, **kwargs ) [source]
-
Calculate the expanding rank.
New in version 1.4.0.
- Parameters
-
- method :{‘average’, ‘min’, ‘max’}, default ‘average’
-
How to rank the group of records that have the same value (i.e. ties):
average: average rank of the group
min: lowest rank in the group
max: highest rank in the group
- ascending :bool, default True
-
Whether or not the elements should be ranked in ascending order.
- pct :bool, default False
-
Whether or not to display the returned rankings in percentile form.
- **kwargs
-
For NumPy compatibility and will not have an effect on the result.
- Returns
-
- Series or DataFrame
-
Return type is the same as the original object with
np.float64
dtype.
See also
-
pandas.Series.expanding
-
Calling expanding with Series data.
-
pandas.DataFrame.expanding
-
Calling expanding with DataFrames.
-
pandas.Series.rank
-
Aggregating rank for Series.
-
pandas.DataFrame.rank
-
Aggregating rank for DataFrame.
Examples
>>> s = pd.Series([1, 4, 2, 3, 5, 3]) >>> s.expanding().rank() 0 1.0 1 2.0 2 2.0 3 3.0 4 5.0 5 3.5 dtype: float64
>>> s.expanding().rank(method="max") 0 1.0 1 2.0 2 2.0 3 3.0 4 5.0 5 4.0 dtype: float64
>>> s.expanding().rank(method="min") 0 1.0 1 2.0 2 2.0 3 3.0 4 5.0 5 3.0 dtype: float64
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Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/1.4.0/reference/api/pandas.core.window.expanding.Expanding.rank.html