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# scipy.stats.mstats.describe

`scipy.stats.mstats.``describe`(a, axis=0)

  Computes several descriptive statistics of the passed array.

  Parameters : | a : array axis : int or None
  Returns : | n : int (size of the data (discarding missing values) mm : (int, int) min, max arithmetic mean : float unbiased variance : float biased skewness : float biased kurtosis : float

  Examples

      >>> ma = np.ma.array(range(6), mask=[0, 0, 0, 1, 1, 1])
      >>> describe(ma)
      (array(3),
       (0, 2),
       1.0,
       1.0,
       masked_array(data = 0.0,
                   mask = False,
             fill_value = 1e+20)
      ,
       -1.5)

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