pandas.core.window.rolling.Rolling.quantile#

Rolling.quantile(q, interpolation='linear', numeric_only=False)[source]#

Calculate the rolling quantile.

Parameters:
quantilefloat

Quantile to compute. 0 <= quantile <= 1.

Deprecated since version 2.1.0: This will be renamed to ‘q’ in a future version.

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.

numeric_onlybool, default False

Include only float, int, boolean columns.

New in version 1.5.0.

Returns:
Series or DataFrame

Return type is the same as the original object with np.float64 dtype.

See also

pandas.Series.rolling

Calling rolling with Series data.

pandas.DataFrame.rolling

Calling rolling with DataFrames.

pandas.Series.quantile

Aggregating quantile for Series.

pandas.DataFrame.quantile

Aggregating quantile for 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