NumPy: Compute sum of all elements, sum of each column and sum of each row of a given array
NumPy: Basic Exercise-32 with Solution
Write a NumPy program to compute sum of all elements, sum of each column and sum of each row of a given array.
Sample Solution :
Python Code :
import numpy as np x = np.array([[0,1],[2,3]]) print("Original array:") print(x) print("Sum of all elements:") print(np.sum(x)) print("Sum of each column:") print(np.sum(x, axis=0)) print("Sum of each row:") print(np.sum(x, axis=1))
Original array: [[0 1] [2 3]] Sum of all elements: 6 Sum of each column: [2 4] Sum of each row: [1 5]
Python Code Editor:
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Python: Tips of the Day
Returns the symmetric difference between two lists, after applying the provided function to each list element of both
def tips_symmetric_difference_by(p, q, fn): _p, _q = set(map(fn, p)), set(map(fn, q)) return [item for item in p if fn(item) not in _q] + [item for item in q if fn(item) not in _p] from math import floor print(tips_symmetric_difference_by([4.2, 2.4], [4.6, 6.8],floor))
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