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Array Reshaping

EasyNumPy Reshaping

Problem Statement

Reshape arrays into different dimensions.

Background

NumPy reshape operations:

  • arr.reshape(m, n) - reshape to m×n
  • arr.reshape(-1) - flatten
  • arr.reshape(-1, 1) - column vector
  • arr.T or arr.transpose() - transpose

Your Task

Write a function reshape_array(arr, rows, cols) that reshapes a 1D array.

Output Format

Return a dictionary with:

  • "reshaped": Array reshaped to (rows, cols) as list
  • "transposed": Transposed (cols, rows) as list
  • "flattened": Flattened back to 1D as list
  • "column_vec": As column vector (n, 1) as list

Example:

Input:
arr = [1,2,3,4,5,6], rows = 2, cols = 3
Output:
{'reshaped': [[1, 2, 3], [4, 5, 6]], ...}
Reasoning:

reshape(2,3) creates 2 rows of 3, transpose swaps dimensions

Constraints:

  • Array size must equal rows * cols
  • Use -1 for automatic dimension calculation
Editor

Test Results

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Run code to see test results.