In Python, accumulation can be achieved using the function sum(),
Example:
numpy.sum(A)---all in the array Sum of elements, A---Array
import numpy as np a = np.array([[1,3,6],[9,5,6]]) b = np.sum(a) print(b)
numpy.sum(A, axis=1)---The sum of all elements in the array and, the sum of the elements of a row with axis=1
import numpy as np a = np.array([[1,3,6],[9,5,6]]) b = np.sum(a , axis=1) print(b)
Introduction to sum function:
Python’s own sum function (or sum function in Numpy),
When there are no parameters, add all;
axis=0, add by columns;
axis=1, add by rows;
import numpy as np #python中自带的sum print(sum([[1,2,3],[4,5,5]])) print(sum([[1,2,3],[4,5,5]],axis=0)) print(sum([[1,2,3],[4,5,5]],axis=1)) #Numpy中的sum a = np.sum([[1,2,3], [4,5,5]]) #无参 print(a) print(a.shape) a = np.sum([[1,2,3], [4,5,5]],axis=0) #axis=0, 按列相加 print(a) print(a.shape) a = np.sum([[1,2,3], [4,5,5]],axis=1) #axis=1, 按行相加 print(a) print(a.shape)
20 [5 7 8] [ 6 14] 20 () [5 7 8] (3,) [ 6 14] (2,)
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