nancumprod(a, axis=None, dtype=None)¶
- Return the cumulative product of array elements over a given axis treating Not a
Numbers (NaNs) as one. The cumulative product does not change when NaNs are encountered and leading NaNs are replaced by ones.
LAX-backend implementation of
nancumprod(). Original docstring below.
Ones are returned for slices that are all-NaN or empty.
New in version 1.12.0.
a (array_like) – Input array.
axis (int, optional) – Axis along which the cumulative product is computed. By default the input is flattened.
dtype (dtype, optional) – Type of the returned array, as well as of the accumulator in which the elements are multiplied. If dtype is not specified, it defaults to the dtype of a, unless a has an integer dtype with a precision less than that of the default platform integer. In that case, the default platform integer is used instead.
nancumprod – A new array holding the result is returned unless out is specified, in which case it is returned.
- Return type
>>> np.nancumprod(1) array() >>> np.nancumprod() array() >>> np.nancumprod([1, np.nan]) array([1., 1.]) >>> a = np.array([[1, 2], [3, np.nan]]) >>> np.nancumprod(a) array([1., 2., 6., 6.]) >>> np.nancumprod(a, axis=0) array([[1., 2.], [3., 2.]]) >>> np.nancumprod(a, axis=1) array([[1., 2.], [3., 3.]])