Python allows us to perform the cumulative sum of array elements using the cumsum() method from the NumPy library. The numpy.cumsum() method returns the cumulative sum of elements in a given input array over a specified axis.
We can create a two-dimensional (2D) array using a list of lists in Python.
numpy.cumsum(arr, axis=None, dtype=None, out=None)
arr: This represents the input data.axis: This is an optional parameter. It represents the axes along which the operation is to be performed.dtype: This is an optional parameter. It represents the return type of the array.out: This is an optional parameter. It represents the alternative output array where the result is to be placed.The numpy.cumsum() method returns the cumulative sum of the elements in a given input array over a specified axis.
Note: If the
outparameter is specified, it returns an array reference toout.
The following code shows how to find the cumulative sum of a 2D array using the numpy.cumsum() method.
# Import numpyimport numpy as np# Create a listmy_list1 = [24,8,3,4,34,8]my_list2 = [5,7,2,10,15,7]# Convert to a numpy 2D arraynp_list = np.array([my_list1, my_list2])# Compute and store the cumulative sum of the array elementsnp_list_cumsum = np.cumsum(np_list, axis=0)print(np_list_cumsum)
numpy library.my_list1 and my_list2.np_list.np.cumsum() to compute the cumulative sum of elements in np_list.