NumPy: Convert a given list into an array, then again convert it into a list
List to Array to List Comparison
Write a NumPy program to convert a given list into an array, then again convert it into a list. Check initial list and final list are equal or not.
This problem involves writing a NumPy program to convert a given array into a list and then back into a NumPy array. The task requires using NumPy's "tolist()" method to convert the array into a Python list and the "array()" function to convert the list back into a NumPy array.
Sample Solution :
Python Code :
# Importing the NumPy library with an alias 'np'
import numpy as np
# Creating a nested list 'a' containing lists as elements
a = [[1, 2], [3, 4]]
# Converting the nested list 'a' into a NumPy array 'x' using np.array()
x = np.array(a)
# Converting the NumPy array 'x' back to a Python nested list 'a2' using the tolist() method
a2 = x.tolist()
# Checking if the original list 'a' and the converted list 'a2' are equal
# This comparison checks if their elements and structure are the same
print(a == a2)
Output:
True
Explanation:
In the above code -
a = [[1, 2], [3, 4]] creates a nested list 'a' with two sublists containing integers.
The np.array(a) converts the nested list 'a' into a NumPy 2D array and stores in the variable 'x'.
a2 = x.tolist() statement converts the NumPy array 'x' back to a nested list named 'a2' using the 'tolist()' method.
Finally print(a == a2) checks if the original nested list 'a' and the reconstructed nested list 'a2' are equal. If they are equal, it prints 'True'; otherwise, it prints 'False'.
For more Practice: Solve these Related Problems:
- Convert a nested list to a NumPy array and then back to a list, ensuring deep equality.
- Transform a list of numbers into an array and revert it back, checking if both lists match.
- Test round-trip conversion from a list to an array and back with mixed data types.
- Convert a list to an array and then back to a list, verifying that the data types remain consistent.
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