Is there a better way to do this?
if a > 1:
a = 1
if a < 0:
a = 0
I was thinking of using a function because I have a lot of these in my code, Was curious if there was a shorter comprehensible way to do it.
Is there a better way to do this?
if a > 1:
a = 1
if a < 0:
a = 0
I was thinking of using a function because I have a lot of these in my code, Was curious if there was a shorter comprehensible way to do it.
What you describe is usually called clipping. There are several ways to do clipping.
numpy
)You can use numpy.clip
for that:
numpy.clip(a, a_min, a_max, out=None)
So:
import numpy
numpy.clip(x,0,1)
Although since function calls in Python are expensive, and numpy
usually processes data in batch, for a single value it will result in computational overhead.
For example:
>>> x = -2.5
>>> numpy.clip(x,0,1)
0.0
>>> x = 2.5
>>> numpy.clip(x,0,1)
1.0
>>> x = 0.5
>>> numpy.clip(x,0,1)
0.5
Usually you use numpy
to perform operations on (large) matrices, for instance if you have to process a 1000x1000 matrix, than using numpy
will definitely pay off.
A pure python approach can be obtained with:
max(0,min(1,x))
But here you have two calls, as a result, it will be slower than using if
statements.
Finally if you stick with the if
-code, you can optimize it a tiny bit by using an elif
:
if x < 0:
x = 0
elif x > 1:
x = 1
Or a more generic function:
def clip(x,min,max):
if x < min:
return min
elif x > max:
return max
return x
a = 1 if a > 1 else 0
would at least reduce it to one line –
Mistymisunderstand I'd always use something like max(0, min(1, x))
.
If x is more than 1, min(1, x)
will be 1, and max(0, 1)
is still 1.
If x is less than 0, min(1, x)
will be x
, and max(0, x)
will be 0.
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