xorbits.pandas.Series.quantile

Series.quantile(q=0.5, interpolation='linear')

Return value at the given quantile.

Parameters

• q (float or array-like, default 0.5 (50% quantile)) – The quantile(s) to compute, which can lie in range: 0 <= q <= 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.

Returns

If q is an array, a Series will be returned where the index is q and the values are the quantiles, otherwise a float will be returned.

Return type

float or Series

See also

core.window.Rolling.quantile

Calculate the rolling quantile.

numpy.percentile

Returns the q-th percentile(s) of the array elements.

Examples

>>> s = pd.Series([1, 2, 3, 4])  
>>> s.quantile(.5)  
2.5
>>> s.quantile([.25, .5, .75])  
0.25    1.75
0.50    2.50
0.75    3.25
dtype: float64

This docstring was copied from pandas.core.series.Series.