Create a column with values of a list and depending on another column

• I have a list of paths of different images:

img_dir = [img_pathA.1.jpg, img_pathA.2.jpg, img_pathA.3.jpg, img_pathB.1.jpg, img_pathB.2.jpg, .... img_pathZ.3.jpg]

• And a dataframe with an ID column:

df:

As you can see, every image path in the list contains in its filename the ID who belongs to.

I would like to add all the image paths for every ID in the dataframe. The goal is to get something like this:

final_df:

The numbers of images per ID is not fixed (usually 2-3 images per ID), so I have thought that I could replicate the entire dataframe maybe 3 times, do the assignment for every row and after that, delete the rows that doesn't have a path ("No path").

I have tried the following code:

df['img_path'] = "No path"
df = pd.concat([df]*3, ignore_index=True)

for ID in df['ID']:
    for path in img_dir:
        if ID in path:
            df.loc[(df['ID'] == ID), 'img_path'] = path

But I get something like this. I think that it's because the ID gets replicated too and the column seems to store the last image for every ID:

Any idea of how could I solve or improve this?

Thank you in advance.