Create 1-D numpy array from image

Question

edit: copying from my comment to give more context to the problem

One important thing I forgot to mention is my end goal is to add this as a column to a pandas dataframe. I was getting errors when trying to put the pixels array as is into dataframe due to more than one dimension.

I have a 32x32 image that I would like to flatten into a 1-D numpy array representing an object with the RGB values at that pixel.

img = Image.open(img_path)
pixels = np.asarray(img)
width, height = img.size
pixels = pixels.reshape(width * height, 3)

Currently this is the best I can do without losing the grouping of RGB values in one object. With this implementation however I get a 2-D array with each element being an array of the RGB values like this.

shape: (1024, 3)
[[255 255 255]
 [255 255 255]
 [255 255 255]
 ...
 [255 255 255]
 [255 255 255]
 [255 255 255]]

I would like my array to have shape (1024,1) and for each element to be some object (maybe a tuple?) of RGB values. Thanks.

Answer 1

c.f. comment, array as a dataframe or a series:

dataframe = pd.DataFrame(pixels)   # As a dataframe with one column per color channel
column = dataframe.apply(tuple, axis=1)  # As a Series of (r,g,b) tuples

Then you can use column as a column of another dataframe, if you so wish