ndarray.__reduce__() For pickling.

MaskedArray.nbytes Total bytes consumed by the elements of the array. Notes Does

chararray.ndim Number of array dimensions. Examples

numpy.polynomial.polynomial.polyline(off, scl)

numpy.testing.assert_raises_regex(exception_class, expected_regexp, callable_obj=None, *args, **kwargs)

chararray.decode(encoding=None, errors=None)

numpy.nanpercentile(a, q, axis=None, out=None, overwrite_input=False, interpolation='linear', keepdims=False)

MaskedArray.flatten(order='C')

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

MaskedArray.__getstate__()