NumPy: Extract all the elements of the first row from a given (4x4) array
Extract First Row of 4x4 Array
Write a NumPy program to extract all the elements of the first row from a given (4x4) array.
Pictorial Presentation:
Sample Solution:
Python Code:
# Importing the NumPy library and aliasing it as 'np'
import numpy as np
# Creating a NumPy array 'arra_data' containing integers from 0 to 15 and reshaping it into a 4x4 matrix
arra_data = np.arange(0, 16).reshape((4, 4))
# Displaying a message indicating the original array will be printed
print("Original array:")
# Printing the original 4x4 array 'arra_data'
print(arra_data)
# Displaying a message indicating the extracted data (first row)
print("\nExtracted data: First row")
# Printing the first row of the 'arra_data' array using slicing
print(arra_data[0])
Sample Output:
Original array: [[ 0 1 2 3] [ 4 5 6 7] [ 8 9 10 11] [12 13 14 15]] Extracted data: First row [0 1 2 3]
Explanation:
In the above code -
arra_data = np.arange(0, 16).reshape((4, 4)): It creates a 1-dimensional NumPy array with elements from 0 to 15 (excluding 16) using np.arange(0, 16) and then reshapes it into a 2-dimensional array with 4 rows and 4 columns using .reshape((4, 4)).
print(arra_data[0]): Here print() functiont prints the first row of the array arra_data. In this case, it will print [0, 1, 2, 3]. The index 0 corresponds to the first row in the array.
For more Practice: Solve these Related Problems:
- Write a NumPy program to extract the first row from a 4x4 array using slicing.
- Create a function that returns the first row of any given 2D array regardless of its dimensions.
- Test row extraction using both positive and negative indexing to verify correct results.
- Implement an alternative approach using np.take to retrieve the first row and compare outputs.
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