pandas-gpt 
Power up your data science workflow with ChatGPT.
Installation
pip install git+https://github.com/rvanasa/pandas-gpt
Set the OPENAI_API_KEY environment variable to your OpenAI API key, or use the following code snippet:
import openai
openai.api_key = 'sk-**********'
Examples
Setup and usage examples are available in this Google Colab notebook.
import pandas as pd
import pandas_gpt
df = pd.DataFrame(...)
# Run Python code generated by ChatGPT
df.ask('do something with the dataset')
# Show additional output
df.ask('do something with the dataset', verbose=True)
# Print source code instead of running
df.ask.code('do something with the dataset')
Alternatives
- GitHub Copilot: General-purpose code completion (paid subscription)
- Sketch: AI-powered data summarization and code suggestions (works without an API key)
Disclaimer
Please note that the limitations of ChatGPT also apply to this library. I would recommend using pandas-gpt in a sandboxed environment such as Google Colab, Kaggle, or GitPod.
1 maintainer
Metadata
1 maintainer
Release files for pandas-gpt 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| pandas-gpt-0.1.0.tar.gz | 3.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pandas_gpt-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.7 kB
Release files / pandas-gpt-0.1.0.tar.gz
| Download URL | pandas-gpt-0.1.0.tar.gz |
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| Download URL | pandas_gpt-0.1.0-py3-none-any.whl |
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| Size | 4.0 kB |
| Tags | Python 3 |
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