# pandas.core.window.Expanding.quantile¶

Expanding.quantile(quantile, interpolation='linear', **kwargs)[source]

expanding quantile.

Parameters: quantile : float Quantile to compute. 0 <= quantile <= 1. interpolation : {‘linear’, ‘lower’, ‘higher’, ‘midpoint’, ‘nearest’} New in version 0.23.0. 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 compatibility with other expanding methods. Has no effect on the result. Series or DataFrame Returned object type is determined by the caller of the expanding calculation.

pandas.Series.quantile
Computes value at the given quantile over all data in Series.
pandas.DataFrame.quantile
Computes values at the given quantile over requested axis in DataFrame.

Examples

>>> s = pd.Series([1, 2, 3, 4])
>>> s.rolling(2).quantile(.4, interpolation='lower')
0    NaN
1    1.0
2    2.0
3    3.0
dtype: float64

>>> s.rolling(2).quantile(.4, interpolation='midpoint')
0    NaN
1    1.5
2    2.5
3    3.5
dtype: float64

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