numpy.ma.var(self, axis=None, dtype=None, out=None, ddof=0) = Compute the variance along the specified axis. Returns the variance
numpy.ma.copy(self, *args, **params) a.copy(order='C') = Return a copy of the array.
numpy.ma.atleast_2d(*arys) = View inputs as arrays with at least two dimensions.
MaskedArray.ptp(axis=None, out=None, fill_value=None)
numpy.ma.empty(shape, dtype=float, order='C') = Return a new array of given shape and type, without initializing entries.
numpy.ma.mr_ = Translate slice objects to concatenation along the first axis. This is the masked array version of lib
numpy.ma.corrcoef(x, y=None, rowvar=True, bias=, allow_masked=True, ddof=)
numpy.ma.is_mask(m)
numpy.ma.arange([start, ]stop, [step, ]dtype=None) = Return evenly spaced values within a given interval. Values are generated
numpy.ma.all(self, axis=None, out=None) = Check if all of the elements of a are true. Performs a logical_and
Page 3 of 18