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NumPy array creation: arange() function

Today, We want to share with you arange in python.In this post we will show you linspace python, hear for python check if value in list we will give you demo and example for implement.In this post, we will learn about python script with an example.

np.arange() | NumPy Arange Function in Python

arange(start, stop, step, dtype)
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.

np arange(): How to Use numpy arange() Function

Example 1:

import numpy np
np.arange(1, 11)

//Reults:
array([ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10])			

Example 2:

import numpy np
np.arange(1, 14, 4)	

//Output

array([ 1,  5,  9, 13])			

Example 3: NumPy.arange() method Example

>>> import numpy as np
>>> np.arange(5)
array([0, 1, 2, 3, 4])
>>> np.arange(5.0)
array([ 0.,  1.,  2.,  3.,  4.])

I hope you get an idea about numpy aranges include endpoint.
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I am Jaydeep Gondaliya , a software engineer, the founder and the person running Pakainfo. I'm a full-stack developer, entrepreneur and owner of Pakainfo.com. I live in India and I love to write tutorials and tips that can help to other artisan, a Passionate Blogger, who love to share the informative content on PHP, JavaScript, jQuery, Laravel, CodeIgniter, VueJS, AngularJS and Bootstrap from the early stage.

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