Great point Brian. For prototyping's sake monkey patching should be enough to test if the interaction is valuable or not.
On Monday, September 17, 2018 at 4:45:19 PM UTC-7, ellisonbg wrote: > > I think it could be regular python code that uses the Jupyter display > system to display the information. The challenge is to figure out how to > detect the pandas function calls and add the needed logic before and after. > A good starting point might be to just monkey patch the relevant pandas > calls and wrap them in the logic you need. That would allow you to get > started quickly and explore the problem space. > > On Mon, Sep 17, 2018 at 3:40 PM Adam Rule <[email protected] <javascript:>> > wrote: > >> 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] <javascript:>. >> To post to this group, send email to [email protected] >> <javascript:>. >> To view this discussion on the web visit >> https://groups.google.com/d/msgid/jupyter/9e1dfb92-87e0-4a8b-b170-370ab7cfabc7%40googlegroups.com >> >> <https://groups.google.com/d/msgid/jupyter/9e1dfb92-87e0-4a8b-b170-370ab7cfabc7%40googlegroups.com?utm_medium=email&utm_source=footer> >> . >> For more options, visit https://groups.google.com/d/optout. >> > > > -- > Brian E. Granger > Associate Professor of Physics and Data Science > Cal Poly State University, San Luis Obispo > @ellisonbg on Twitter and GitHub > [email protected] <javascript:> and [email protected] <javascript:> > -- 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/69c48c2c-2c9f-4ce1-8491-5c98399eb8ff%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
