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numpy.arange() in Python

  • Difficulty Level : Medium
  • Last Updated : 08 Nov, 2021

The arange([start,] stop[, step,][, dtype]) : Returns an array with evenly spaced elements as per the interval. The interval mentioned is half-opened i.e. [Start, Stop) 

Parameters : 

start : [optional] start of interval range. By default start = 0
stop  : end of interval range
step  : [optional] step size of interval. By default step size = 1,  
For any output out, this is the distance between two adjacent values, out[i+1] - out[i]. 
dtype : type of output array


Array of evenly spaced values.
Length of array being generated  = Ceil((Stop - Start) / Step) 



# Python Programming illustrating
# numpy.arange method
import numpy as geek
print("A\n", geek.arange(4).reshape(2, 2), "\n")
print("A\n", geek.arange(4, 10), "\n")
print("A\n", geek.arange(4, 20, 3), "\n")

Output : 

 [[0 1]
 [2 3]]

 [4 5 6 7 8 9]

 [ 4  7 10 13 16 19]


  • These NumPy-Python programs won’t run on onlineID, so run them on your systems to explore them.
  • The advantage of numpy.arange() over the normal in-built range() function is that it allows us to generate sequences of numbers that are not integers.



# Python Programming illustrating
# numpy.arange method
import numpy as np
# Printing all numbers from 1 to
# 2 in steps of 0.1
print(np.arange(1, 2, 0.1))


[1.  1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9]

If you try it with the range() function, you get a TypeError.

This article is contributed by Mohit Gupta_OMG πŸ˜€. If you like GeeksforGeeks and would like to contribute, you can also write an article using or mail your article to See your article appearing on the GeeksforGeeks main page and help other Geeks.
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