@LangChain Pandas Agent and GPT-4 for Data Analysis

Langchain is a great tool for building applications powered by LLMs. It provides a series of agents that lets users interact with the LLMs on their specific use case with natural language.

In this video, we learn how to set up and use the Pandas Dataframe Agent with GPT-4 from OpenAI.

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#MachineLearning #DeepLearning

[vidivy]

This was awesome – clear, concise and relatable.
Thanks

[GeorgeZoto]

Excellent tutorial and to the point, thank you for this hands on session, looking forward to checking it out :)

[JoeSmith-knwo]

Great video! I'm doing some data analysis with pandas right now and this could come in handy.

[gvasvas]

Excellent tutorial, easy to understand.

[WilliamDye-willdye]

Very nice walkthrough. Now my problem is to find a data set for my own demo project that has an plausible chance of producing even a small profit. Perhaps an analysis of popular children's books, fed into a coloring book generator. The book might not actually sell, but it seems reasonable to start thinking early about how to use AI to make stuff that people will want to buy.

[rasalive]

Thanks a lot it was great leanring,
I just wanted to mention that chatgpt already knows this dataset so it's able to understand where to find the specific things. If you try something on custom data set it does not provide such in depth answers

[nicky_rads]

Nice video ! AI agents have a lot of potential, very cool to see.

[justinchung]

any chance you could demonstrate using a model running locally (e.g. LLama2) please?

[alinakapshyk]

Great video. My question is can we use it in Power Bi with questions embedded in the form of tubs, or as a list of questions with data sources on Azure?

[joaquinmenendez]

Do you have some recommendations about tuning up the prompt to get better outputs? Like passing dataframe schema, some explanation, etc

[DK-dpkk]

Great video thank you. I use the Falcon model to save money by the way. Can you summarize text that is within the pandas data frame? How?

[MuhammadFaizanMumtaz]

I don't know you're name but I love you a lot.

[goldenfishes]

for those wondering, the agent supports openai only

[ozgurdugmeci]

is it possible to add conversational memory to the pandas agent?

[gunnamvenkatganesh]

how to get the action input formula as the output

[walidmaly]

Thnaks a lot.. I am getting this error OutputParserException: "Could not parse LLM output: `I need to use the `python_repl_ast` tool to execute the command.`" Can you please help?
If I do this it works

query="What is the average sepal_length?"
query=query+ " using tool python_repl_ast"
agent.run( query)

[lizk]

The video is outdated. Is there a more up-to-date version available?

[devpriyashivani]

When the list of rows in response is very large, ... is returned in the response instead of the actual values. How can we get the actual values?

[TheChievovr]

It doesn't work because it is already all deprecated