pandas-ai
PandasAI enables natural language queries on pandas DataFrames using LLMs. Learn to ask questions in plain English, generate charts, clean data, and integrate with OpenAI and local models for conversational data analysis.
npx skills add majiayu000/claude-skill-registry --skill pandas-ai --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# PandasAI PandasAI adds natural language capabilities to pandas. Ask questions about your data in English and get answers, charts, and transformations — powered by LLMs. ## Installation ```bash # Install PandasAI pip install pandasai # With OpenAI pip install pandasai[openai] # With local models via Ollama pip install pandasai[langchain] ``` ## Basic Usage ```python # basic.py: Ask questions about a DataFrame in natural language import pandas as pd from pandasai import SmartDataframe from pandasai.llm import OpenAI llm = OpenAI(api_token="your-openai-api-key") df = pd.DataFrame({ "country": ["USA", "UK", "France", "Germany", "Japan"], "population": [331_000_000, 67_000_000, 67_000_000, 83_000_000, 125_000_000], "gdp_billion": [25_460, 3_070, 2_780, 4_070, 4_230], }) sdf = SmartDataframe(df, config={"llm": llm}) # Ask questions in natural language answer = sdf.chat("Which country has the highest GDP?") print(answer) # USA answer = sdf.chat("What is the average population?") print(answer) # 134,600,000 answer = sdf.chat("List countries with GDP above 4000 billion") print(answer) ``` ## Multiple DataFrames ```python # multi-df.py: Query across multiple related DataFrames from pandasa
- Installation
- Basic Usage
- Multiple DataFrames
- Generate Charts
- Data Cleaning
- Custom Configuration
- Using Local Models
- Pipeline Integration
Install PandasAI pip install pandasai With OpenAI pip install pandasai[openai] With local models via Ollama pip install pandasai[langchain]
What does the pandas-ai skill do?
PandasAI enables natural language queries on pandas DataFrames using LLMs. Learn to ask questions in plain English, generate charts, clean data, and integrate with OpenAI and local models for conversational data analysis.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill pandas-ai --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.