numpy.arange() in Python (original) (raw)

Last Updated : 24 Jan, 2025

numpy.arange() function creates an array of evenly spaced values within a given interval. It is similar to Python's built-in range() function but returns a NumPy array instead of a list.

Let's understand with a simple example:

Python `

import numpy as np

#create an array arr= np.arange(5 , 10) print(arr)

`

Table of Content

• Syntax of numpy.arange():
• Specify Start and Stop
• Floating-Point Step Size
• Combining with Conditional Filtering

Syntax of numpy.arange():

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

**Parameters of numpy():

• **start (optional): The starting value of the sequence. Default is 0.
• **stop (required): The endpoint of the sequence, exclusive.
• **step (optional): The spacing between consecutive values. Default is 1.
• **dtype (optional): The desired data type of the output array.

**Return Type:

• Array of evenly spaced values.

Specify Start and Stop

Generate a sequence of integers starting from 5 to 14.

Python `

import numpy as np

Creating a sequence of numbers from 0 to 9

sequence = np.arange(10) print("Basic Sequence:", sequence)

`

Output

Basic Sequence: [0 1 2 3 4 5 6 7 8 9]

Floating-Point Step Size

Generate a sequence of floating-point numbers.

Python `

import numpy as np

Creating a sequence of floating-point numbers from 0 to 1

with a step size of 0.2 using np.arange()

sequence = np.arange(0, 1, 0.2) print("Floating-Point Sequence:", sequence)

`

Output

Floating-Point Sequence: [0. 0.2 0.4 0.6 0.8]

Combining with Conditional Filtering

Generate a sequence and filter specific values.

Python `

import numpy as np

Creating a sequence of numbers from 0 to 20

sequence = np.arange(0, 20, 3)

Filtering the sequence to include only values greater than 10

filtered = sequence[sequence > 10] print("Filtered Sequence:", filtered)

`

Output

Filtered Sequence: [12 15 18]