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Home/ Questions/Q 8646939
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Editorial Team
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Editorial Team
Asked: June 12, 20262026-06-12T12:56:24+00:00 2026-06-12T12:56:24+00:00

I would like to know how I could remove entire rows from an image,

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I would like to know how I could remove entire rows from an image, preferably based on the color of the row?

Example: I have an image that is 5 pixels in height, the top two rows and the bottom two rows are white and the middle row is black. I would like to know how I could get PIL to identify this row of black pixels, then, remove the entire row and save the new image.

I have some knowledge of python and have so far been editing my images by listing the result of “getdata” so any answers with pseudo code may hopefully be enough. Thanks.

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  1. Editorial Team
    Editorial Team
    2026-06-12T12:56:26+00:00Added an answer on June 12, 2026 at 12:56 pm

    I wrote you the following code that removes every row which is completely black. I use the else clause of the for loop that will be executed when the loop is not exited by a break.

    from PIL import Image
    
    def find_rows_with_color(pixels, width, height, color):
        rows_found=[]
        for y in xrange(height):
            for x in xrange(width):
                if pixels[x, y] != color:
                    break
            else:
                rows_found.append(y)
        return rows_found
    
    old_im = Image.open("path/to/old/image.png")
    if old_im.mode != 'RGB':
        old_im = old_im.convert('RGB')
    pixels = old_im.load()
    width, height = old_im.size[0], old_im.size[1]
    rows_to_remove = find_rows_with_color(pixels, width, height, (0, 0, 0)) #Remove black rows
    new_im = Image.new('RGB', (width, height - len(rows_to_remove)))
    pixels_new = new_im.load()
    rows_removed = 0
    for y in xrange(old_im.size[1]):
        if y not in rows_to_remove:
            for x in xrange(new_im.size[0]):
                pixels_new[x, y - rows_removed] = pixels[x, y]
        else:
            rows_removed += 1
    new_im.save("path/to/new/image.png")
    

    If you have questions just ask 🙂

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