NumPy: Convert a NumPy array into Python list structure
Convert NumPy Array to Python List
Write a NumPy program to convert a NumPy array into a Python list structure.
Pictorial Presentation:
Sample Solution:
Python Code:
# Importing the NumPy library and aliasing it as 'np'
import numpy as np
# Creating a 1-dimensional array 'x' with values from 0 to 5 and reshaping it into a 3x2 array
x = np.arange(6).reshape(3, 2)
# Printing a message indicating the original array elements will be shown
print("Original array elements:")
# Printing the original array 'x' with its elements
print(x)
# Printing a message indicating that the array will be converted to a Python list
print("Array to list:")
# Converting the NumPy array 'x' into a Python list using the tolist() method
print(x.tolist())
Sample Output:
Original array elements: [[0 1] [2 3] [4 5]] Array to list: [[0, 1], [2, 3], [4, 5]]
Explanation:
In the above code –
‘x = np.arange(6).reshape(3, 2)’ creates a NumPy array x using np.arange(6), which generates an array with values from 0 to 5. Then, reshape the array into a 3x2 matrix using the reshape method.
print(x.tolist()): Convert the NumPy array ‘x’ to a nested list using the tolist method and print the resulting list.
For more Practice: Solve these Related Problems:
- Write a NumPy program to convert a multi-dimensional array into a nested Python list using the tolist() method.
- Create a function that accepts an array and returns its Python list representation, then validates each element.
- Test conversion of both 1D and 2D arrays to lists and check the types of the resulting elements.
- Use recursive techniques to convert a structured array into a nested list and verify its structure.
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