numpy.ma.MaskedArray.prod — NumPy v1.11 Manual (original) (raw)
MaskedArray.prod(axis=None, dtype=None, out=None)[source]¶
Return the product of the array elements over the given axis. Masked elements are set to 1 internally for computation.
| Parameters: | axis : {None, int}, optional Axis over which the product is taken. If None is used, then the product is over all the array elements. dtype : {None, dtype}, optional Determines the type of the returned array and of the accumulator where the elements are multiplied. If dtype has the value Noneand the type of a is an integer type of precision less than the default platform integer, then the default platform integer precision is used. Otherwise, the dtype is the same as that of a. out : {None, array}, optional Alternative output array in which to place the result. It must have the same shape as the expected output but the type will be cast if necessary. |
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| Returns: | product_along_axis : {array, scalar}, see dtype parameter above. Returns an array whose shape is the same as a with the specified axis removed. Returns a 0d array when a is 1d or axis=None. Returns a reference to the specified output array if specified. |
See also
equivalent function
Notes
Arithmetic is modular when using integer types, and no error is raised on overflow.
Examples
np.prod([1.,2.]) 2.0 np.prod([1.,2.], dtype=np.int32) 2 np.prod([[1.,2.],[3.,4.]]) 24.0 np.prod([[1.,2.],[3.,4.]], axis=1) array([ 2., 12.])