np.arange in python

Bewildered Bat answered on July 9, 2020 Popularity 10/10 Helpfulness 3/10

answer np.arange in python

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np.arange in python

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>>> 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])

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Source: numpy.org

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Contributed on Jul 09 2020

Bewildered Bat

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np arange

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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])

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Contributed on Feb 23 2021

Outrageous Octopus

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np arange

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# Standard range() in python needs whole numbers for step size
print(np.arange(0, 1, 0.1))
array([0., 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9])

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Contributed on May 18 2022

Doubtful Dragonfly

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numpy arange

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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.

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Contributed on Jun 04 2021

PVH

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numpy arange

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numpy.arange([start, ]stop, [step, ]dtype=None, *, like=None)

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Contributed on Feb 25 2023

Run time Terror

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python array use numpy arange

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import numpy as np
e = np.arange(0, 1, 0.3)
print(e)

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Contributed on Oct 08 2021

Nazário

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np.arange in python

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