PIXELBANKv8.2.1
Menu
Sign In

Reshape NumPy Array

EasyNumPy Array Manipulation

Problem Statement

Reshape a 1D NumPy array into a 2D array with specified dimensions.

Background

Reshaping is crucial for preparing data for machine learning models. The reshape() method changes array dimensions without changing data.

Your Task

Write a function reshape_array(arr, new_shape) that:

  1. Reshapes the input array to new_shape
  2. Returns a dictionary with:
    • "original_shape": Original shape as list
    • "new_shape": New shape as list
    • "array": Reshaped array as nested list

Output Format

Return a dictionary with exactly these three keys.

Example:

Input:
arr = np.arange(6), new_shape = (2, 3)
Output:
{'original_shape': [6], 'new_shape': [2, 3], 'array': [[0, 1, 2], [3, 4, 5]]}
Reasoning:

6 elements reshaped to 2 rows x 3 columns

Constraints:

  • Use numpy reshape() method
  • new_shape will be compatible with array size
  • Return shapes as lists
Editor

Test Results

0/0
Run code to see test results.