idiolect wrote:
Hi all - Sorry to plague you with another newbie question from a
lurker. Hopefully, this will be simple.
I have a list full of RGB pixel values read from an image. I want to
test each RGB band value per pixel, and set it to something else if it
meets or falls below a certain threshold - i.e., a Red value of 0
would be changed to 50.
I've built my list by using a Python Image Library statement akin to
the following:
data = list(image.getdata())
Which produces a very long list that looks like [(0,150,175),
(50,175,225),...]. I'm trying to figure out a fast and pythonic way
to perform my operation. The closest I've come so far to a succinct
statement is a list comprehension along the syntax of:
Why are you trying to do this with a list comprehension? Learn the
basics first. Perhaps you have read too many of the recent threads
presenting diverting challenges for bored experienced programmers. Some
of these were definitely not Pythonic code for real use.
First question: do you really want to create a new 'very long list' or
modify list 'data' in place. Let's assume the latter.
for i,tup in enumerate(data):
data[i] = replace(tup)
where replace(tup) is an expression or function that produces a tuple
meeting your criteria. Simplest is
(max(tup[0],Rthresh), max(tup[1],Gthresh), max(tup[2],Bthresh)).
If nearly all your pixels are ok, add the following before the
assignment so you only make replacements when actually needed:
if tup[0] < Rthresh or tup[1] < Gthresh or tup[2] < Bthresh:
Terry Jan Reedy
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