pandas.Series.quantile¶
- Series.quantile(q=0.5, interpolation='linear')¶
Return value at the given quantile, a la numpy.percentile.
Parameters: q : float or array-like, default 0.5 (50% quantile)
0 <= q <= 1, the quantile(s) to compute
interpolation : {‘linear’, ‘lower’, ‘higher’, ‘midpoint’, ‘nearest’}
New in version 0.18.0.
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.
Returns: quantile : float or Series
if q is an array, a Series will be returned where the index is q and the values are the quantiles.
Examples
>>> s = 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