scipy.stats.describe

scipy.stats.describe(a, axis=0, ddof=1)

Computes several descriptive statistics of the passed array.

Parameters:

a : array_like

Input data.

axis : int or None, optional

Axis along which statistics are calculated. Default is 0. If None, compute over the whole array a.

ddof : int, optional

Delta degrees of freedom. Default is 1.

Returns:

nobs : int

Number of observations (length of data along axis).

minmax: tuple of ndarrays or floats

Minimum and maximum value of data array.

mean : ndarray or float

Arithmetic mean of data along axis.

variance : ndarray or float

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

skewness : ndarray or float

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

kurtosis : ndarray or float

Biased 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