numpy.ma.harden_mask(self) = Force the mask to hard. Whether the mask of a masked array is hard or soft is determined

RandomState.dirichlet(alpha, size=None) Draw samples from the Dirichlet distribution. Draw size

Standard FFTs

numpy.random.logseries(p, size=None) Draw samples from a logarithmic series distribution. Samples are drawn from

nditer.next x.next() -> the next value, or raise StopIteration

Laguerre.has_samedomain(other)

This module provides a set of vectorized string operations for arrays of type numpy.string_ or numpy.unicode_. All of them are based on the string methods in the Python standard

MaskedArray.anom(axis=None, dtype=None)

numpy.ma.ravel(self, order='C') = Returns a 1D version of self, as a view.

numpy.ma.around = Round an array to the given number of decimals. Refer to