👀 Views: 61 💬 Answers: 1 📅 Created: 2025-06-11

numpy reshape valueerror Python

I'm reviewing some code and I'm relatively new to this, so bear with me... I'm working on a personal project and I'm working with a `ValueError` when trying to reshape a NumPy array in version 1.24.0... The goal is to convert a flat array of 12 elements into a 3D array of shape (2, 2, 3). However, when I use the `reshape` method, it throws an behavior indicating incompatible dimensions. Here’s the code snippet I’m using: ```python import numpy as np arr = np.arange(12) # This creates an array with values from 0 to 11 new_shape = (2, 2, 3) reshaped_arr = arr.reshape(new_shape) ``` When I run this code, I get the following behavior: ``` ValueError: want to reshape array of size 12 into shape (2,2,3) ``` I’ve checked the size of `arr`, and it clearly has 12 elements, which should fit the target shape. I also tried using `np.reshape(arr, (2, 3, 2))`, but I hit the same scenario. I’m not sure what I’m missing here. Any insights would be appreciated! This is part of a larger service I'm building. How would you solve this? Any feedback is welcome!