How to use Python cumsums and cumprod functions

This article explains in detail how to use the Python cumsums and cumprod functions

>>>a = np.array([1,2,3],[4,5,6]])
>>>a
array([[1,2,3],
       [4,5,6]])
>>>a.cumsum(0)
array([[1,2,3],
       [5,7,9]])
>>>a.cumprod(1)
array([[1,2,6],
       [4,20,120]])

The difficulty in these two functions is that the parameters 0 and 1

where 0 represents the column Calculation, 1 represents the calculation of rows, that is, the cumulative sum and product of columns and rows respectively.

And the result is not aggregated, and an intermediate array is produced.

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