(self, columns=None)
Compute distribution of values for the given columns.

        :param columns: columns to calculate distributions for
        :return: a list of distributions. Type of distribution depends on the
                 type of the column:
                   - for discrete, distribution is a 1d np.array containing the
                     occurrence counts for each of the values.
                   - for continuous, distribution is a 2d np.array with
                     distinct (ordered) values of the variable in the first row
                     and their counts in second.
Compute distribution of values for the given columns.
Compute distribution of values for the given columns .
def _compute_distributions(self, columns=None):
        """Compute distribution of values for the given columns.

        :param columns: columns to calculate distributions for
        :return: a list of distributions. Type of distribution depends on the
                 type of the column:
                   - for discrete, distribution is a 1d np.array containing the
                     occurrence counts for each of the values.
                   - for continuous, distribution is a 2d np.array with
                     distinct (ordered) values of the variable in the first row
                     and their counts in second.
        """
        raise NotImplementedError
def _compute_distributions ( self , columns = None ) : raise NotImplementedError