{"version":"1.0","type":"rich","title":"Gist 6ac95622ce9dd73d237ca6b17b2d5543","description":"This visualization demonstrates a method-chaining utility for pandas DataFrames, allowing users to inspect intermediate data states during complex transformations. The `csnap` function takes a DataFrame, an optional transformation function, and a message, displaying the result of applying that function to the data while returning the original DataFrame for continued chaining. It uses the `display` API from IPython to render the snapshot inline, with a default function that shows the DataFrame’s shape. The example highlights a practical debugging pattern for exploratory data analysis workflows.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-6ac95622ce9dd73d237ca6b17b2d5543?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}