matrix.mean(axis=None, dtype=None, out=None)

MaskedArray.searchsorted(v, side='left', sorter=None) Find indices where elements of v should be inserted in

numpy.testing.assert_array_almost_equal_nulp(x, y, nulp=1)

ndenumerate.next()

ndarray.dot(b, out=None) Dot product of two arrays. Refer to

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

numpy.sort(a, axis=-1, kind='quicksort', order=None)

numpy.ma.shape(obj)

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

RandomState.logseries(p, size=None) Draw samples from a logarithmic series distribution. Samples are