scipy.stats.scoreatpercentile¶
- 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.
See also
Examples
>>> from scipy import stats >>> a = np.arange(100) >>> stats.scoreatpercentile(a, 50) 49.5