Power up your data science workflow with ChatGPT
Project description
pandas-gpt
Power up your data science workflow with ChatGPT.
Installation
pip install 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.
Project details
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