class numpy.lib.user_array.container(data, dtype=None, copy=True)

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

ndarray.cumsum(axis=None, dtype=None, out=None) Return the cumulative sum of the elements along the given axis. Refer

ndarray.compress(condition, axis=None, out=None) Return selected slices of this array along given axis. Refer to

recarray.strides Tuple of bytes to step in each dimension when traversing an array. The byte offset of element

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

ndarray.itemset(*args) Insert scalar into an array (scalar is cast to array?s dtype, if possible) There must be

ndarray.max(axis=None, out=None) Return the maximum along a given axis. Refer to

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

MaskedArray.view(dtype=None, type=None)