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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.

  See also

  `skew`, `kurtosis`

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