cunumeric.nansum#

cunumeric.nansum(a: ndarray, axis: Any = None, dtype: Any = None, out: ndarray | None = None, keepdims: bool = False, initial: int | float | None = None, where: ndarray | None = None) → ndarray#

Return the sum of array elements over a given axis treating Not a Numbers (NaNs) as ones.

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

Parameters:

a (array_like) – Array containing numbers whose product is desired. If a is not an array, a conversion is attempted.
axis (None or int or tuple[int], optional) –
Axis or axes along which a sum is performed. The default, axis=None, will sum all of the elements of the input array. If axis is negative it counts from the last to the first axis.

If axis is a tuple of ints, a sum is performed on all of the axes specified in the tuple instead of a single axis or all the axes as before.
dtype (data-type, optional) – The type of the returned array and of the accumulator in which the elements are summed. The dtype of a is used by default unless a has an integer dtype of less precision than the default platform integer. In that case, if a is signed then the platform integer is used while if a is unsigned then an unsigned integer of the same precision as the platform integer is used.
out (ndarray, optional) – Alternative output array in which to place the result. It must have the same shape as the expected output, but the type of the output values will be cast if necessary.
keepdims (bool, optional) – If this is set to 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 input array.
initial (scalar, optional) – Starting value for the sum. See ~cunumeric.ufunc.reduce for details.
where (array_like[bool], optional) – Elements to include in the sum. See ~cunumeric.ufunc.reduce for details.

Returns:

nansum – A new array holding the result is returned unless out is specified, in which case it is returned. The result has the same size as a, and the same shape as a if axis is not None or a is a 1-d array.

Return type:

ndarray, see dtype parameter above.