Python Slicing Multi-Dimensional Arrays
Slicing is a method for taking out an array section frequently used for subsetting and modifying data inside arrays. In Python, Slicing gains considerably more strength when used with multi-dimensional arrays because it may be applied along several axes.
1-D Array Slicing
In a 1-D NumPy array, slicing is performed using the [start:stop: step] notation.
import numpy as np
arr = np.array([0, 1, 2, 3, 4, 5])
# Slice from index 1 to 3
sliced_arr = arr[1:4]
print(sliced_arr)
Output:
[1 2 3]
Python slicing multi-dimensional arrays
Python’s NumPy package makes slicing multi-dimensional arrays a valuable tool for data manipulation and analysis. It enables efficient subset data extraction and manipulation from arrays, making it a useful skill for any programmer, engineer, or data scientist.