def nonzero(self):
"""Return the indices of the elements that are non-zero.
Returns a tuple of arrays, one for each dimension of a, containing the indices of the non-zero elements in that dimension.
Compared to numpy, it does not return a tuple of arrays but a matrix,
but either one allows addressing as [dimension, i] to get the index of the i'th non-zero element
"""
return ndarray(NDCompare.nonzero(self.nda))
def nonzero(self):
"""Return the indices of the elements that are non-zero.
Returns a tuple of arrays, one for each dimension of a, containing the indices of the non-zero elements in that dimension.
Compared to numpy, it does not return a tuple of arrays but a matrix,
but either one allows addressing as [dimension, i] to get the index of the i'th non-zero element
"""
return ndarray(NDCompare.nonzero(self.nda))
def all(self):
"""Determine if all elements are True (not zero)"""
return NDCompare.all(self.nda)
def any(self):
"""Determine if any element is True (not zero)"""
return NDCompare.any(self.nda)
def __ge__(self, value):
"""Element-wise comparison"""
if not isinstance(value, ndarray):
value = array([value])
return ndarray(NDCompare.greater_equal(self.nda, value.nda))
def __lt__(self, value):
"""Element-wise comparison"""
if not isinstance(value, ndarray):
value = array([value])
return ndarray(NDCompare.less_than(self.nda, value.nda))
def all(self):
"""Determine if all elements are True (not zero)"""
return NDCompare.all(self.nda)
def any(self):
"""Determine if any element is True (not zero)"""
return NDCompare.any(self.nda)
def __ge__(self, value):
"""Element-wise comparison"""
if not isinstance(value, ndarray):
value = array([ value ])
return ndarray(NDCompare.greater_equal(self.nda, value.nda))
def __lt__(self, value):
"""Element-wise comparison"""
if not isinstance(value, ndarray):
value = array([ value ])
return ndarray(NDCompare.less_than(self.nda, value.nda))
