{"version":"1.0","type":"rich","title":"Gist 0d6feb6953e77b93ee3a119fb200ed34","description":"This example converts a tall image into a table-based OpenDocument (ODT) file by slicing it into horizontal strips of 75 pixels each. It uses Python’s Pillow library (`Image.crop`, `Image.new`) to segment the image, then embeds each slice into the ODT’s `Pictures/` directory via `zipfile`. The code dynamically writes XML content referencing table rows and images, with a helper function to update the archive. It processes all JPG and PNG files in the current directory, producing a spreadsheet-like visual layout from the original raster data.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-0d6feb6953e77b93ee3a119fb200ed34?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}