ndarray.setflags(write=None, align=None, uic=None) Set array flags WRITEABLE, ALIGNED, and UPDATEIFCOPY, respectively

ndarray.__idiv__ x.__idiv__(y) <==> x/=y

recarray.conj() Complex-conjugate all elements. Refer to numpy.conjugate for full documentation.

matrix.dtype Data-type of the array?s elements.

ndarray.__ifloordiv__ x.__ifloordiv__(y) <==> x//y

ndarray.tobytes(order='C') Construct Python bytes containing the raw data bytes in the array. Constructs Python

static ndarray.__new__(S, ...) ? a new object with type S, a subtype of T

matrix.ndim Number of array dimensions. Examples >>>

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

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