Make negative values of numpy array positive

Question

I have [6, -1, -3, -5]. I want to make the negative values positive, e.g. [6, 1, 3, 5]. Is there an easy way to do this?

Thank you so much, in advance!

On Python 2 and Python 3 you can convert any number to positive with abs(). You can convert int or float negative without numpy. Example : print(abs(-6)) show you : 6 — AleBuo
– AleBuo, Commented Dec 17, 2021 at 3:36

user17242583 · Accepted Answer · 2021-12-17 03:31:03Z

7

Simply use the builtin abs function:

>>> a = np.array( [6, -1, -3, -5])
>>> a
array([ 6, -1, -3, -5])

>>> abs(a)
array([6, 1, 3, 5])

answered Dec 17, 2021 at 3:31

user17242583

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Comments

Shck Tchamna · Accepted Answer · 2022-12-30 02:30:19Z

0

And if you are like me and swear by the name of list comprehension, try this:

abs_a = [-i if i <0 else i for i in a ]

Where abs_a stands for the absolute value of a

answered Dec 30, 2022 at 2:30

Shck Tchamna

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1 Comment

chrslg Over a year ago

I love list comprehension too... when I deal with lists! The question here is specifically about numpy. List comprehension are still pure python iterations. They are slower (more than 2 times even with the short example given. 100 times with more serious examples). And anyway, off topic when a numpy question is asked (your abs_a isn't even a ndarray).

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