NumPy: Create a new shape to an array without changing its data
Reshape Array (Keep Data)
Write a NumPy program to create another shape from an array without changing its data.
Pictorial Presentation:
Sample Solution:
Python Code:
# Importing the NumPy library with an alias 'np'
import numpy as np
# Creating a 1D NumPy array with six elements
x = np.array([1, 2, 3, 4, 5, 6])
# Reshaping the array 'x' into a 3x2 matrix and assigning it to variable 'y'
y = np.reshape(x, (3, 2))
print("Reshape 3x2:") # Printing the description for the reshaped 3x2 array
print(y) # Displaying the reshaped 3x2 array
# Reshaping the array 'x' into a 2x3 matrix and assigning it to variable 'z'
z = np.reshape(x, (2, 3))
print("Reshape 2x3:") # Printing the description for the reshaped 2x3 array
print(z) # Displaying the reshaped 2x3 array
Sample Output:
Reshape 3x2: [[1 2] [3 4] [5 6]] Reshape 2x3: [[1 2 3] [4 5 6]]
Explanation:
In the above code -
x = np.array([1, 2, 3, 4, 5, 6]): This line creates a one-dimensional NumPy array ‘x’ with six elements.
y = np.reshape(x,(3,2)): This line reshapes the ‘x’ array into a new two-dimensional array ‘y’ with 3 rows and 2 columns. The elements from ‘x’ are placed row-wise into the new shape.
print(y): This line prints the reshaped ‘y’ array.
z = np.reshape(x,(2,3)): This line reshapes the ‘x’ array into another two-dimensional array ‘z’ with 2 rows and 3 columns. Again, the elements from ‘x’ are placed row-wise into the new shape.
print(z): This line prints the reshaped ‘z’ array.
Python-Numpy Code Editor: