Arrays - arange()

What np.arange() Does

• numpy.arange() creates an array with evenly spaced values within a specified range.
• It’s similar to Python’s built-in range(), but returns a NumPy array instead of a list, and supports non-integer steps (like 0.5).

Function Signature

numpy.arange([start, ]stop, [step], dtype=None)

• start → (optional) starting value (default = 0).
• stop → end value (excluded).
• step → spacing between values (default = 1).
• dtype → data type of the output array (optional).

Examples

import numpy as np​# Default start=0, step=1np.arange(5)       # → [0 1 2 3 4]​# Custom start and stopnp.arange(2, 7)    # → [2 3 4 5 6]​# With stepnp.arange(1, 10, 2) # → [1 3 5 7 9]​# With float stepnp.arange(0, 1, 0.2)# → [0.  0.2  0.4  0.6  0.8]

np.arange() is a quick way to create number sequences as NumPy arrays, flexible with integer or float steps.