How to Remove the First N Elements from a NumPy Array in Python While Preserving Shape?
I've been banging my head against this for hours... I'm working with a NumPy array in Python (version 1.21.0), and I need to remove the first N elements from it, specifically from a 2D array while preserving its shape. I've tried using slicing, but I keep running into issues where the shape of the array changes unexpectedly. Here's an example of what I'm trying to achieve: ```python import numpy as np # Original 2D array arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) N = 1 # Attempted approach using slicing new_arr = arr[N:, :] print(new_arr) ``` This code correctly removes the first row, but I actually want to remove the first N elements from each row instead. I thought about doing something like this: ```python new_arr = arr[:, N:] ``` However, this gives me the behavior 'IndexError: index 1 is out of bounds for axis 0 with size 1' when N exceeds the number of elements in each row. I want to handle cases where N might be greater than the number of elements, and ensure I do not end up with an empty array or run into index errors. What’s the best way to achieve this while keeping the array's dimensions intact? Any advice on best practices for manipulating NumPy arrays in this context would be greatly appreciated! Any ideas what could be causing this? I appreciate any insights!