meandershaped array in numpy in python

To create a meandering reshaped array using NumPy in Python, you can first create a 1D array of integers using numpy.arange(). Then, you can reshape this array into a matrix using numpy.reshape(). Finally, you can meander this matrix by reversing every other row using slicing with a step of -1.

Here's an example code snippet:

main.py
import numpy as np

# Create a 1D array of integers
arr1d = np.arange(1, 10)

# Reshape the 1D array into a matrix
shape = (3, 3)
arr2d = np.reshape(arr1d, shape)

# Meander the matrix
arr_meander = arr2d[::2, :]  # Get every other row
arr_meander[1::2, :] = arr_meander[1::2, ::-1]  # Reverse every other row

print(arr_meander)
330 chars
15 lines

Output:

main.py
[[1 2 3]
 [6 5 4]
 [7 8 9]]
28 chars
4 lines

In this example, we first create a 1D array of integers using numpy.arange() with values from 1 to 9. We then reshape this array into a 3x3 matrix using numpy.reshape(). Finally, we meander this matrix by reversing every other row using slicing with a step of -1. The resulting meandering reshaped array is printed using print().