Supercharge your data science workflows with Ollama models
Project description
SMART_PANDAS 🤖
Supercharge your data science workflows with 🐐 Ollama models.
smart-pandas
is a Python library highly inspired by the pandas-gpt, to perform the diverse operations on a pandas DataFrame using llama 2 model.
Installation
First install the ollama from 🐐ollama. Ollama is required and need to be installed must.
pip install smart-pandas
Examples
import pandas as pd
import smart_pandas
df = pd.DataFrame('https://raw.githubusercontent.com/owid/covid-19-data/master/scripts/input/un/handwashing_facilities.csv')
# Data transformation
df = df.ask('Remove iso_code')
# Queries
top_10 = df.ask('what are the top 10 most locations having handwashing_facilities, as a table')
# Plotting
top_10=top_10.ask("Reset index")
top_10.ask('horizontal bar plot, seaborn colors with width 700')
Aurthor
Muntakimur Rahaman
Senior Data Scientist,
Innova-analytics.ai
Contact: muntakim.cse@gmail.com
Alternatives
- pandas-gpt: OpenAI based pandas auto-completion (Paid api key)
- 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 llama 2 also apply to this library. I would recommend using smart-pandas
in a sandboxed environment such as Google Colab, Kaggle, or GitPod.
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