numpy.arange() in Python
This numpy.arange() function is used to generates an array with evenly spaced values with the given interval. Commonly this function is used to generate an array with default interval 1 or custom interval.
Basic Syntax

Following is the basic syntax for numpy.arange() function:
arange(start, stop, step, dtype)
Returns Array with evenly spaces values with the given interval.
The Parameters used are:
Parameter | Description |
---|---|
start | [Optional] provide the start of the interval range. |
stop | provide end of the interval range. |
step | [Optional] the spacing between two adjacent values. |
dtype | [Optional] dtype is the type of output array. |
Returns
The arange() function returns the array of evenly spaced values.
Example
Following is the example for Numpy arange() function in Python:
import numpy as np # generates aray from 0 to 8 with default interval 1 print("Array = \n", np.arange(9), "\n") # generates array from 6 to 15 with default interval 1 print("Array = \n", np.arange(6,15), "\n") # generates array from 5 to 50 with default interval 5 print("Array = \n", np.arange(5, 50, 5), "\n") # generates aray from 0 to 8 with default interval 1 and respapes it print("Array = \n", np.arange(9).reshape(3,3), "\n")
The output should be:
Array =
[0, 1, 2, 3, 4, 5, 6, 7, 8]
Array =
[ 6, 7, 8, 9, 10, 11, 12, 13, 14]
Array =
[ 5, 10, 15, 20, 25, 30, 35, 40, 45]
Array =
[[0, 1, 2],
[3, 4, 5],
[6, 7, 8]]
[0, 1, 2, 3, 4, 5, 6, 7, 8]
Array =
[ 6, 7, 8, 9, 10, 11, 12, 13, 14]
Array =
[ 5, 10, 15, 20, 25, 30, 35, 40, 45]
Array =
[[0, 1, 2],
[3, 4, 5],
[6, 7, 8]]
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