numpy.ma.swapaxes(self, *args, **params) a.swapaxes(axis1, axis2) = Return a view of the array with axis1 and axis2

masked_array.mask Mask

numpy.ma.compress_cols(a)

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

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

MaskedArray.min(axis=None, out=None, fill_value=None)

numpy.ma.fix_invalid(a, mask=False, copy=True, fill_value=None)

numpy.ma.set_fill_value(a, fill_value)