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numpy.arange() in Python

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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

Return: 

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

Example:

Python3

# 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 : 

A
 [[0 1]
 [2 3]]

A
 [4 5 6 7 8 9]

A
 [ 4  7 10 13 16 19]

Note: 

  • 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.

Example:

Python3

# 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))

                    

Output: 

[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.




Last Updated : 08 Nov, 2021
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