ndarray.nonzero() Return the indices of the elements that are non-zero. Refer to

ndarray.diagonal(offset=0, axis1=0, axis2=1) Return specified diagonals. In NumPy 1.9 the returned array is a read-only

ndarray.__setitem__ x.__setitem__(i, y) <==> x[i]=y

ndarray.__ge__ x.__ge__(y) <==> x>=y

recarray.sum(axis=None, dtype=None, out=None, keepdims=False) Return the sum of the array elements over the given axis.

generic.min() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and possesses

generic.flags integer value of flags

Python defines only one type of a particular data class (there is only one integer type, one floating-point type, etc.). This can be convenient in applications that don?t need to be

record.argmin() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and

dtype.__setstate__()