#### Previous topic

scipy.stats.zipf

#### Next topic

scipy.stats.gmean

# 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`