Numpy

numpy_copies_views1.py

## Importing numpy library for creating numpy
import numpy as np

## Creating a 1-D array
a = np.array([0,2,1])
print(a)

#[Output]:
#array([0, 2, 1])

## assigning array "a" to array "b"
## This is  simple assignment neither view nor copy
b = a

## Checking the value in b
print(b)

#[Output]:
#[0 2 1]

## Checking the id's of b and a

## Both are having same id'd in simple assignment.
print(id(b))
print(id(a))

#[Output]:
#2090539997104
#2090539997104

##See changes if value in any array is updated

##Changing the values in b
b[0] = 3
print(b)

#[Output]:
#[3 2 1]


## Checking if changes is also reflected in a or not.
print(a)

#[Output]:
#[3 2 1]