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scipy.stats.describe¶

scipy.stats.describe(a, axis=0)¶

Computes several descriptive statistics of the passed array.

Parameters :

a : array_like

data

axis : int or None

axis along which statistics are calculated. If axis is None, then data array is raveled. The default axis is zero.

Returns :

size of the data : int

length of data along axis

(min, max): tuple of ndarrays or floats :

minimum and maximum value of data array

arithmetic mean : ndarray or float

mean of data along axis

unbiased variance : ndarray or float

variance of the data along axis, denominator is number of observations minus one.

biased skewness : ndarray or float

skewness, based on moment calculations with denominator equal to the number of observations, i.e. no degrees of freedom correction

biased kurtosis : ndarray or float

kurtosis (Fisher), the kurtosis is normalized so that it is zero for the normal distribution. No degrees of freedom or bias correction is used.