Algorithm
Problem Name: Python -
In this HackerRank Functions in PYTHON problem solution,
Basic mathematical functions operate element-wise on arrays. They are available both as operator overloads and as functions in the NumPy module.
import numpy
a = 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]
Task
You are given two integer arrays, A and B of dimensions N * M.
Your task is to perform the following operations:
- Add ( A + B).
- Subtract (A - B)
- Multiply (A * B)
- Integer Division (A/B)
- Mod (A%B)
- Power (A**B)
Note
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 arra 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 4
1 2 3 4
5 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.
Code Examples
#1 Code Example with Python Programming
Code -
Python Programming
import numpy as np
n,m = map(int,input().split())
a=np.zeros((n,m),int)
b=np.zeros((n,m),int)
for i in range(n):
a[i]=np.array(input().split(),int)
for i in range(n):
b[i]=np.array(input().split(),int)
print(a+b)
print(a-b)
print(a*b)
print(np.array(a/b,int))
print(a%b)
print(a**b)