Array Mathematics HackerRank Solution In Python

Problem

Basic mathematical functions operate element-wise on arrays. They are available both as operator overloads and as functions in the NumPy module.

import numpya = numpy.array([1,2,3,4], float)b = numpy.array([5,6,7,8], float)print a + b                     #[  6.   8.  10.  12.]print numpy.add(a, b)           #[  6.   8.  10.  12.]print a - b                     #[-4. -4. -4. -4.]print numpy.subtract(a, b)      #[-4. -4. -4. -4.]print a * b                     #[  5.  12.  21.  32.]print numpy.multiply(a, b)      #[  5.  12.  21.  32.]print a / b                     #[ 0.2         0.33333333  0.42857143  0.5       ]print numpy.divide(a, b)        #[ 0.2         0.33333333  0.42857143  0.5       ]print a % b                     #[ 1.  2.  3.  4.]print numpy.mod(a, b)           #[ 1.  2.  3.  4.]print a**b                      #[  1.00000000e+00   6.40000000e+01   2.18700000e+03   6.55360000e+04]print numpy.power(a, b)         #[  1.00000000e+00   6.40000000e+01   2.18700000e+03   6.55360000e+04]

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Task

You are given two integer arrays, A and B of dimensions NXM.
Your task is to perform the following operations:

1. Add (A + B)
2. Subtract (A – B)
3. Multiply (A * B)
4. Integer Division (A / B)
5. Mod (A % B)
6. Power (A ** B)

There is a method numpy.floor_divide() that works like numpy.divide() except it performs a floor division.

Input Format

The first line contains two space separated integers, N and M.
The next N lines contains M space separated integers of array A.
The following N lines contains M space separated integers of array B.

Output Format

Print the result of each operation in the given order under Task.

Sample Input

1 41 2 3 45 6 7 8

Sample Output

[[ 6  8 10 12]][[-4 -4 -4 -4]][[ 5 12 21 32]][[0 0 0 0]][[1 2 3 4]][[    1    64  2187 65536]] 

Use // for division in Python 3.

Solution – Array Mathematics In Python | HackerRank

import numpy as npn, m = list(map(int, input().split()))a = np.array([list(map(int, input().split())) for _ in range(n)])b = np.array([list(map(int, input().split())) for _ in range(n)])print(a + b)print(a - b)print(a * b)print(np.floor_divide(a, b))print(a % b)print(a ** b)