Skip to content
Related Articles

Related Articles

How to Create a Sequence of Linearly Increasing Values with Numpy Arrange?

Improve Article
Save Article
  • Last Updated : 16 Aug, 2022
Improve Article
Save Article

In this article, we are going to create a sequence of linearly increasing values with Numpy arrange() function. 

Getting Started

By using arrange() function, we can create a sequence of linearly increasing values. This method returns an array with evenly spaced elements as per the interval. The interval mentioned is half opened i.e. [Start, Stop)

Syntax: 

numpy.arrange(start, stop, step)

Parameters:

  • start is the starting value
  • stop is the ending value
  • step is a linear increment value with in the given range. It is optional. By default, it is 1.

Return Type:

  • Return an array of elements

For example:

numpy.arrange(1,10,3)  # array([1,4,7])

Here, we have given a range from 1 to 10(start = 1 and stop = 10) but we specified step=3. That means it skips every 3 elements in a range. So In this way, we can increase linearity in data.

Example 1: 

Create elements within range with 3-step linearly.

Python3




# importing numpy module
import numpy as np
 
# create an elements from 1
# to 10 with 3 step linearity
print(np.arange(1, 10, 3))
 
# create an elements from 1
# to 20 with 3 step linearity
print(np.arange(1, 20, 3))
 
# create an elements from 1
# to 30 with 3 step linearity
print(np.arange(1, 30, 3))
 
# create an elements from 1
# to 40 with 3 step linearity
print(np.arange(1, 40, 3))
 
# create an elements from 1
# to 50 with 3 step linearity
print(np.arange(1, 50, 3))


Output:

Example 2:

Create elements within range with 5-step linearly.

Python3




#importing numpy module
import numpy as np
 
#create an elements from 1 to
# 10 with 5 step linearity
print(np.arange(1,10,5))
 
#create an elements from 1 to
# 20 with 5 step linearity
print(np.arange(1,20,5))
 
#create an elements from 1 to
# 30 with 5 step linearity
print(np.arange(1,30,5))
 
#create an elements from 1 to
# 40 with 5 step linearity
print(np.arange(1,40,5))
 
#create an elements from 1 to
# 50 with 5 step linearity
print(np.arange(1,50,5))


 Output:

Example 3:

Create elements within the range of 34 to 50 with 5-step linearly. 

Python3




#importing numpy module
import numpy as np
 
#create an elements from 34 to 50 with 4 step linearity
print(np.arange(34,50,5))


Output:

[34 39 44 49]

My Personal Notes arrow_drop_up
Related Articles

Start Your Coding Journey Now!