pandas.core.window.expanding.Expanding.quantile
- Expanding.quantile(quantile, interpolation='linear', **kwargs)[source]
-
Calculate the expanding quantile.
- Parameters
-
- quantile:float
-
Quantile to compute. 0 <= quantile <= 1.
- interpolation:{‘linear’, ‘lower’, ‘higher’, ‘midpoint’, ‘nearest’}
-
This optional parameter specifies the interpolation method to use, when the desired quantile lies between two data points i and j:
linear: i + (j - i) * fraction, where fraction is the fractional part of the index surrounded by i and j.
lower: i.
higher: j.
nearest: i or j whichever is nearest.
midpoint: (i + j) / 2.
- **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.
See also
pandas.Series.expanding
-
Calling expanding with Series data.
pandas.DataFrame.expanding
-
Calling expanding with DataFrames.
pandas.Series.quantile
-
Aggregating quantile for Series.
pandas.DataFrame.quantile
-
Aggregating quantile for DataFrame.
© 2008–2021, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
Licensed under the 3-clause BSD License.
https://pandas.pydata.org/pandas-docs/version/1.3.4/reference/api/pandas.core.window.expanding.Expanding.quantile.html