numpy.core.defchararray.array(obj, itemsize=None, copy=True, unicode=None, order=None)

ndarray.__deepcopy__() ? Deep copy of array. Used if copy.deepcopy is called on an array.

matrix.size Number of elements in the array. Equivalent to np.prod(a.shape), i.e., the product of the

dtype.hasobject Boolean indicating whether this dtype contains any reference-counted objects in any fields or sub-dtypes

MaskedArray.__divmod__(y) <==> divmod(x, y)

RandomState.standard_gamma(shape, size=None) Draw samples from a standard Gamma distribution. Samples

matrix.newbyteorder(new_order='S') Return the array with the same data viewed with a different byte order. Equivalent

matrix.clip(min=None, max=None, out=None) Return an array whose values are limited to [min, max]. One of max or

Legendre.copy()

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