MaskedArray.set_fill_value(value=None)

numpy.ma.identity(n, dtype=None) = Return the identity array. The identity array is a square array with ones on the main

numpy.ma.dump(a, F)

numpy.ma.empty(shape, dtype=float, order='C') = Return a new array of given shape and type, without initializing entries.

numpy.ma.arange([start, ]stop, [step, ]dtype=None) = Return evenly spaced values within a given interval. Values are generated

numpy.ma.mean(self, axis=None, dtype=None, out=None) = Returns the average of the array elements. Masked entries are ignored

MaskedArray.flatten(order='C')

numpy.ma.choose(indices, choices, out=None, mode='raise')

numpy.ma.corrcoef(x, y=None, rowvar=True, bias=, allow_masked=True, ddof=)

numpy.ma.all(self, axis=None, out=None) = Check if all of the elements of a are true. Performs a logical_and