NumPy: Copy data from a given array to another array

NumPy: Array Object Exercise-148 with Solution

Copy Data to Another Array

Write a NumPy program to copy data from a given array to another array.

Sample Solution:

Python Code:

# Importing the NumPy library and aliasing it as 'np'
import numpy as np

# Creating a NumPy array 'x' containing integers
x = np.array([24, 27, 30, 29, 18, 14])

# Displaying a message indicating the original array will be printed
print("Original array:")

# Printing the original array 'x'
print(x)

# Creating an empty array 'y' with the same shape and dtype as 'x'
y = np.empty_like(x)

# Copying the contents of 'x' to array 'y'
y[:] = x

# Displaying a message indicating the copied array will be printed
print("\nCopy of the said array:")

# Printing the copied array 'y'
print(y) 

Sample Output:

Original array:
[24 27 30 29 18 14]

Copy of the said array:
[24 27 30 29 18 14]

Explanation:

In the above example -

• x = np.array([24, 27, 30, 29, 18, 14]): It creates a 1-dimensional NumPy array x with the given elements.
• y = np.empty_like(x): It creates a new NumPy array y with the same shape as x and uninitialized elements. In this case, y is also a 1-dimensional array with a length of 6.
• y[:] = x: It uses slice assignment to copy the elements from the array x to the array y. The colon : in y[:] represents a slice of the entire array y, so this line of code assigns all elements in x to the corresponding positions in y.

Finally print() function prints the array ‘y’.

Pictorial Presentation:

Python-Numpy Code Editor:

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