scipy.stats.scoreatpercentile(a, per, limit=(), interpolation_method='fraction', axis=None)[source]

Calculate the score at a given percentile of the input sequence.

For example, the score at per=50 is the median. If the desired quantile lies between two data points, we interpolate between them, according to the value of interpolation. If the parameter limit is provided, it should be a tuple (lower, upper) of two values.

Parameters :

a : array_like

A 1-D array of values from which to extract score.

per : array_like

Percentile(s) at which to extract score. Values should be in range [0,100].

limit : tuple, optional

Tuple of two scalars, the lower and upper limits within which to compute the percentile. Values of a outside this (closed) interval will be ignored.

interpolation : {‘fraction’, ‘lower’, ‘higher’}, optional

This optional parameter specifies the interpolation method to use, when the desired quantile lies between two data points i and j

  • fraction: i + (j - i) * fraction where fraction is the fractional part of the index surrounded by i and j.
  • lower: i.
  • higher: j.

axis : int, optional

Axis along which the percentiles are computed. The default (None) is to compute the median along a flattened version of the array.

Returns :

score : float (or sequence of floats)

Score at percentile.


>>> from scipy import stats
>>> a = np.arange(100)
>>> stats.scoreatpercentile(a, 50)

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