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bundles / scipy latest / scipy / stats / _mstats_basic / describe

function

scipy.stats._mstats_basic:describe

source: /scipy/stats/_mstats_basic.py :2928

Signature

def   describe ( a ,  axis = 0 ,  ddof = 0 ,  bias = True )

Summary

Computes several descriptive statistics of the passed array.

Parameters

a : array_like

Data array

axis : int or None, optional

Axis along which to calculate statistics. Default 0. If None, compute over the whole array a.

ddof : int, optional

degree of freedom (default 0); note that default ddof is different from the same routine in stats.describe

bias : bool, optional

If False, then the skewness and kurtosis calculations are corrected for statistical bias.

Returns

nobs : int

(size of the data (discarding missing values)

minmax : (int, int)

min, max

mean : float

arithmetic mean

variance : float

unbiased variance

skewness : float

biased skewness

kurtosis : float

biased kurtosis

Examples

import numpy as np
from scipy.stats.mstats import describe
ma = np.ma.array(range(6), mask=[0, 0, 0, 1, 1, 1])
✓
describe(ma)
✗

Aliases

  • scipy.stats._mstats_basic.describe