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I already saw How to combine dimensions in numpy array?

And tried that, but when I tried 

imgs.reshape(img.shape[:-2]+(-1))

which I assumed would be the logical extension, I get an error: 

can only concatenate tuple (not "int") to tuple

I was going to comment on the accepted answer from the linked question and ask them for help directly instead of creating a new thread for this but I don't have the required reputation to comment.

Edit: For example, I have an input array that is of shape (x,y,8,8) where x and y can change depending on the image that is fed into the function. I want to make it into an array of shape (x,y,64). The 64 in this case never changes.

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  • provide sample data and expected output Commented Mar 1, 2019 at 4:23

1 Answer 1

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You must add a comma for it to be recognized as a tuple. Try

imgs.reshape(img.shape[:-2] + (-1,))

Or, use unpacking:

imgs.reshape((*img.shape[:-2], -1))
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I had also tried your first suggestion and it was giving me back (x,y,9) instead of (x,y,64) for some reason. Your second suggestion worked though, thank you!

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