numpy.cumprod(a, axis=None, dtype=None, out=None)
[source]
Return the cumulative product of elements along a given axis.
Parameters: 


Returns: 

See also
numpy.doc.ufuncs
Arithmetic is modular when using integer types, and no error is raised on overflow.
>>> a = np.array([1,2,3]) >>> np.cumprod(a) # intermediate results 1, 1*2 ... # total product 1*2*3 = 6 array([1, 2, 6]) >>> a = np.array([[1, 2, 3], [4, 5, 6]]) >>> np.cumprod(a, dtype=float) # specify type of output array([ 1., 2., 6., 24., 120., 720.])
The cumulative product for each column (i.e., over the rows) of a
:
>>> np.cumprod(a, axis=0) array([[ 1, 2, 3], [ 4, 10, 18]])
The cumulative product for each row (i.e. over the columns) of a
:
>>> np.cumprod(a,axis=1) array([[ 1, 2, 6], [ 4, 20, 120]])
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https://docs.scipy.org/doc/numpy1.17.0/reference/generated/numpy.cumprod.html