jax.numpy.nanprod(a, axis=None, out=None, keepdims=False, **kwargs)ΒΆ
Return the product of array elements over a given axis treating Not a

Numbers (NaNs) as ones.

LAX-backend implementation of nanprod(). Original docstring below.

One is returned for slices that are all-NaN or empty.

New in version 1.10.0.

  • a (array_like) – Array containing numbers whose product is desired. If a is not an array, a conversion is attempted.

  • axis ({int, tuple of int, None}, optional) – Axis or axes along which the product is computed. The default is to compute the product of the flattened array.

  • out (ndarray, optional) – Alternate output array in which to place the result. The default is None. If provided, it must have the same shape as the expected output, but the type will be cast if necessary. See ufuncs-output-type for more details. The casting of NaN to integer can yield unexpected results.

  • keepdims (bool, optional) – If True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the original arr.


nanprod – A new array holding the result is returned unless out is specified, in which case it is returned.

Return type


See also


Product across array propagating NaNs.


Show which elements are NaN.


>>> np.nanprod(1)
>>> np.nanprod([1])
>>> np.nanprod([1, np.nan])
>>> a = np.array([[1, 2], [3, np.nan]])
>>> np.nanprod(a)
>>> np.nanprod(a, axis=0)
array([3., 2.])