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.

See also

skew, kurtosis