numpy.cumprod() function is used when we want to compute the cumulative product of array elements over a given axis.
Syntax : numpy.cumprod(arr, axis=None, dtype=None, out=None)
arr : [array_like] Array containing numbers whose cumulative product is desired. If arr is not an array, a conversion is attempted.
axis : Axis along which the cumulative product is computed. The default is to compute the product of the flattened array.
dtype : Type of the returned array, as well as of the accumulator in which the elements are multiplied. If dtype is not specified, it defaults to the dtype of arr, unless arr has an integer dtype with a precision less than that of the default platform integer. In that case, the default platform integer is used instead.
out : [ndarray, optional] A location into which the result is stored.
-> If provided, it must have a shape that the inputs broadcast to.
-> If not provided or None, a freshly-allocated array is returned.
Return : A new array holding the result is returned unless out is specified, in which case it is returned.
Code #1 : Working
Input number : 10 cumulative product of input number : 
Code #2 :
Input array : [[2 4 6] [1 3 5]] cumulative product of array elements: [ 2 8 48 48 144 720]
Code #3 :
Input array : [[2 4 6] [1 3 5]] cumulative product of array elements taking axis 1: [[ 2 8 48] [ 1 3 15]]
- Important differences between Python 2.x and Python 3.x with examples
- Python | Set 4 (Dictionary, Keywords in Python)
- Python | Sort Python Dictionaries by Key or Value
- abs() in Python
- Python | a += b is not always a = a + b
- gcd() in Python
- pow() in Python
- SHA in Python
- zip() in Python
- SQL using Python | Set 1
- Any & All in Python
- chr() in Python
- try and except in Python
- Python Set | pop()
- max() and min() in Python
If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to email@example.com. See your article appearing on the GeeksforGeeks main page and help other Geeks.
Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.