numpy.ma.core._MaskedBinaryOperation

class documentation

class _MaskedBinaryOperation(_MaskedUFunc):

Define masked version of binary operations, where invalid values are pre-masked.

Parameters

mbfunc : function: The function for which to define a masked version. Made available as _MaskedBinaryOperation.f.
domain : class instance: Default domain for the function. Should be one of the _Domain* classes. Default is None.
fillx : scalar, optional: Filling value for the first argument, default is 0.
filly : scalar, optional: Filling value for the second argument, default is 0.

Method	`__call__`	Execute the call behavior.
Method	`__init__`	abfunc(fillx, filly) must be defined.
Method	`accumulate`	Accumulate `target` along `axis` after filling with y fill value.
Method	`outer`	Return the function applied to the outer product of a and b.
Method	`reduce`	Reduce `target` along the given `axis`.
Instance Variable	`fillx`	Undocumented
Instance Variable	`filly`	Undocumented

Inherited from _MaskedUFunc:

def __call__(self, a, b, *args, **kwargs):

Execute the call behavior.

def __init__(self, mbfunc, fillx=0, filly=0):

overrides numpy.ma.core._MaskedUFunc.__init__

abfunc(fillx, filly) must be defined.

abfunc(x, filly) = x for all x to enable reduce.

def accumulate(self, target, axis=0):

Accumulate target along axis after filling with y fill value.

def outer(self, a, b):

Return the function applied to the outer product of a and b.

def reduce(self, target, axis=0, dtype=None):

Reduce target along the given axis.

fillx =

Undocumented

filly =

Undocumented