I have noticed that a number of Jupyter users call df.head(), df.shape, df.describe(), or something similar almost every time they load or manipulate a dataframe to inspect what their manipulation did. I would like to develop an extension or kernel magic that prints useful information to a cell's output based on the pandas function called in that cell. For example, running pd.read_csv() might automatically print the shape and column names of the loaded dataframe and df.drop_duplicates() might automatically print how many duplicates were dropped and how many unique rows remain.
How might I architect such an extension (e.g., a JupyterLab extension, an iPython kernel magic, or something else)? I think I would need to detect when certain pandas functions are about to be run by the kernel and gather information about the dataframe immediately before and after execution. Would that even be feasible? -- You received this message because you are subscribed to the Google Groups "Project Jupyter" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/jupyter/9e1dfb92-87e0-4a8b-b170-370ab7cfabc7%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
