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

numpy.pad(array, pad_width, mode, **kwargs)

numpy.sort_complex(a)

numpy.fromfile(file, dtype=float, count=-1, sep='') Construct an array from data in a text or binary file. A highly efficient

numpy.testing.decorate_methods(cls, decorator, testmatch=None)

chararray.put(indices, values, mode='raise') Set a.flat[n] = values[n] for all n

numpy.zeros(shape, dtype=float, order='C') Return a new array of given shape and type, filled with zeros.

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

generic.real real part of scalar

ndarray.__contains__ x.__contains__(y) <==> y in x