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quantile(self, quantile: 'float', interpolation: 'str' = 'linear', **kwargs)

Parameters

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 :None:None:`j`:

linear: :None:None:`i + (j - i) * fraction`, where :None:None:`fraction` is the fractional part of the index surrounded by i and :None:None:`j`.

lower: i.

higher: :None:None:`j`.

nearest: i or :None:None:`j` whichever is nearest.

midpoint: (i + :None:None:`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 with np.float64 dtype.

Calculate the rolling quantile.

Examples

This example is valid syntax, but we were not able to check execution

>>> 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

This example is valid syntax, but we were not able to check execution

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

See :

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File: /pandas/core/window/rolling.py#2298
type: <class 'function'>
Commit:

Parameters

Returns

See Also

Examples

Local connectivity graph