Pandas Sketch - The Jupyter Notebook Data Analysis Tool You Didn't Know You Wanted

The Sketch Library is a great tool for exploring routine data analysis, data visualization, and data cleaning in Jupyter. This Python library allows the analyst to simply type a question using the sketch.ask method or the sketch.howto method and the library will either generate a text answer or it will produce the relevant code to answer your question. Thus it is becoming increasingly important that we know which questions to ask and how to ask them.
Check out the video to see the sketch library in action. If you want to read more check out the link below:
The Full article can be found here.
/ sketch-a-promising-ai-...
If you want to see more from the author of the article check him out at ‪@AndyMcDonald42‬ ! His video content is 🔥 as well :)

[@CJP3]

Do you plan to give sketch a try?😅

[@benc256]

Really helpful to watch you use this before I try it out for myself, thanks!

[@CJP3]

Great! Glad you found it useful! Thanks for commenting!

[@nth.education]

Damn, this is so cool, I'll definitely give sketch a try, I am more of an R user but this just might help me get a grasp on Pandas and expand my knowledge as well. Thanks for making a video on this :)

[@CaribouDataScience]

Thanks, that looks promising.

[@CJP3]

Agreed! I’m keeping track of that project

[@viciousbeats8510]

I am getting an error that says 'dataframe' object has no attribute 'sketch' when i run:
Import pandas as pd
Import sketch
data = pd.read_excel("file location.xlsx")
data.sketch.ask("question?")

[@CJP3]

Howdy! Sorry to hear that. Does sketch import with any errors?

[@Adrian_Marmy]

sketch.ask() is completely useless 😆 it just claims stuff. sketch.howto() on the other hand is neat when the code works 🙂 thanks for the video, was a very convenient way to jump right into it.

[@CJP3]

Ask - is that coach that never quite played sports. Howto - real MVP. Agreed!!