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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, and of dimensions X.
Your task is to perform the following operations:
- Add ( + )
- Subtract ( - )
- Multiply ( * )
- Integer Division ( / )
- Mod ( % )
- Power ( ** )
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, and .
The next lines contains space separated integers of array .
The following lines contains space separated integers of array .
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.