pandas.Series.quantile#

Series.quantile(q=0.5,interpolation='linear')[source]#

Return value at the given quantile.

Parameters:

qfloat 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 pointsi andj:

• linear:i + (j - i) * (x-i)/(j-i), where(x-i)/(j-i) isthe fractional part of the index surrounded byi > j.

• lower:i.

• higher:j.

• nearest:i orj whichever is nearest.

• midpoint: (i +j) / 2.

Returns:

float or Series

Ifq is an array, a Series will be returned where theindex isq and the values are the quantiles, otherwisea float will be returned.

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    1.750.50    2.500.75    3.25dtype: float64