np.arange() - How To Use the NumPy arange() Method?
The arange() function is one of the most flexible tools in NumPy. It lets you work with a list of values and insert them into the list in any order. The arange() method lets you easily create an array containing a range of integers. Here, we'll demonstrate how to use the arange() function in a Python script.
np arange
By 
Outrageous Octopus
on Feb 23, 2021
Outrageous Octopus
on Feb 23, 2021
np.arange([start], stop, [step])
>>> np.arange(10) # stop
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
>>> np.arange(2, 10)
array([2, 3, 4, 5, 6, 7, 8, 9])
>>> np.arange(2, 10, 2)
array([2, 4, 6, 8])4
np.arange in python
By Bewildered Bat
on Jul 09, 2020
Bewildered Bat
on Jul 09, 2020
>>> np.arange(3)
array([0, 1, 2])
>>> np.arange(3.0)
array([ 0., 1., 2.])
>>> np.arange(3,7)
array([3, 4, 5, 6])
>>> np.arange(3,7,2)
array([3, 5])
Source: numpy.org
7
numpy arange
By PVH
on Jun 04, 2021
PVH
on Jun 04, 2021
arange() NumPy arange() is one of the array creation routines based on numerical
ranges.
It creates an instance of ndarray with evenly spaced values and returns the
reference to it.0
The default range has lower and upper bounds of 0 and the step-wise indexing is evaluated within that range.
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