numpy.nanprod(a, axis=None, dtype=None, out=None, keepdims=<class numpy._globals._NoValue>)
[source]
Return the product of array elements over a given axis treating Not a Numbers (NaNs) as ones.
One is returned for slices that are all-NaN or empty.
New in version 1.10.0.
Parameters: |
a : array_like Array containing numbers whose sum is desired. If axis : int, optional Axis along which the product is computed. The default is to compute the product of the flattened array. dtype : data-type, optional The type of the returned array and of the accumulator in which the elements are summed. By default, the dtype of out : ndarray, optional Alternate output array in which to place the result. The default is 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 |
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Returns: |
nanprod : ndarray A new array holding the result is returned unless |
See also
numpy.prod
isnan
>>> np.nanprod(1) 1 >>> np.nanprod([1]) 1 >>> np.nanprod([1, np.nan]) 1.0 >>> a = np.array([[1, 2], [3, np.nan]]) >>> np.nanprod(a) 6.0 >>> np.nanprod(a, axis=0) array([ 3., 2.])
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https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.nanprod.html