Looking for a little advise. I have 6x6 color (CIELAB <https://en.wikipedia.org/wiki/CIELAB_color_space>) data in a spreadsheet (color samples of clothing). I would like to visualize this as an image on a per channel (l,a,b) and as a color image. I can read the data from the spreadsheet. I am not sure the path a should choose from there. I think the path is to read this data into a numpy array and use scikit-image.
Questions: 1. I am not sure how to get the 3 color measurements into a color image pixel. 2. I only kinda understand color spaces, this data is in CIELAB, do I want to keep it in that color format? I think yes. 3. How can I visualize this data as a 6x6 color image and visualize each color on a gray scale. 4. General hints or link of how to proceed would be helpful. Thanks Vincent Davis -- https://mail.python.org/mailman/listinfo/python-list