Pandasai documentation. A pandas dataframe metadata i.

Pandasai documentation. Example Project usage Poetry is the package manager for pandasai. It uses a large language model (LLM) to generate Python code to answer questions about data, perform data analysis, and generate visualizations. This comprehensive 2800+ words guide covers everything from the basics of PandasAI to advanced integrations, customization, real-world applications and more. A pandas dataframe metadata i. These custom functions can be seamlessly integrated with the agent’s skills, enabling a wide range of user-defined operations. Jul 31, 2024 · PandasAI allows anyone to analyze data and derive insights using plain English instead of complex coding. This documentation reflects the features and functionality in progress and may change before the final release. So it's not meant to handle large documents etc, but rather specific instructions or question-answer pairs. PandasAI enables you to confidently make data Jun 18, 2024 · PandasAI Demo Now that you’re familiar with PandasAI. PandasAI is a wrapper around a LLM to make dataframes conversational. llm. Simple APIs, zero DevOps, infinite scale. Cet outil renforce les capacités de pandas, ce qui permet d'effectuer des tâches analytiques complexes, de manipuler des données, etc. Empowering Data Scientists and Analysts: Simplifying Data Analysis with OpenAI's Pandas AI, the Generative Python Library - meeno15/PandasAI We provide the basics in pandas to easily create decent looking plots. PandasAI is a Python platform that makes it easy to ask questions to your data in natural language. It includes tutorials, examples, and API references, making it essential for users who want to master data analysis and manipulation using this powerful library. PandasAI is a remarkable Python library designed to elevate your data analysis game. Feb 11, 2025 · PandasAI interactive prompt function can be exploited to run arbitrary Python code through prompt injection, which can lead to remote code execution (RCE) PandasAI Integration Ingeration with PandasAI With the help of langchain integration, we can integrate PandasAI with our LLM and ask questions that are based on a dataset such as asking questions related to data in a csv. The fastest way to build and ship General AI Agents. It is intended to complement, not replace, the popular data analysis and manipulation tool. It utilises the OpenAI-developed text-to-query generative AI. Dec 30, 2024 · What is PandasAI? PandasAI is a powerful library that augments the capabilities of Pandas—a popular data manipulation library in Python—with generative AI capabilities. PANDASAI documentation pandas AI is a Python library that enhances Pandas with generative AI capabilities. Jun 14, 2023 · PandasAI是增强Pandas的Python库，集成生成式AI功能，支持复杂数据查询和可视化，兼容OpenAI和HuggingFace模型，需API密钥，注重隐私保护，提供丰富示例与扩展可能。 PandasAI is a Python library that extends the capabilities of pandas by providing natural language processing (NLP) capabilities. e df. The objective is to make dataframe conversation using Large Language Models (LLMs). Jan 12, 2024 · To further explore PandasAI and its capabilities, readers are encouraged to visit the PandasAI documentation. What is PandasAI and How Does it Work? PandasAI extends Pandas, the popular Python library for data analysis with natural language . Nov 26, 2024 · Explorez la puissance de l'IA dans l'analyse des données avec Pandas AI. Oct 6, 2023 · PandasAI is a powerful library that simplifies and enriches the data analysis experience. In order to build documentation, we have to add requirements in development environment. To use pandasai, first install it using pip through PyPi package distribution framework. google_gemini' Any ideas how we can use this class? PandasAI 3. LLMs This document outlines the LLMs API wrappers included in the pandasai. from pandasai. This User Guide # The User Guide covers all of pandas by topic area. See full list on pypi. Tutorial Videos: Explore video tutorials that demonstrate the capabilities of PandasAI in real-world scenarios. PandasAI provides connectors to connect to different data sources. pandasai Use custom field descriptions to provide additional information about each field in the data source. 0 introduces a new feature: the semantic layer, which allows you to turn raw data into semantic-enhanced and clean dataframes, making it easier to work with and analyze your data. chat method on a dataframe, PandasAI passes to the LLM the question, the table headers, and 5-10 rows of the Dataframe. It allows users to interact with data using natural language queries, making data analysis more accessible Discover how PandasAI bridges natural language with data analysis, enhancing your data exploration. You can either decide to use PandasAI in your Jupyter notebooks, Streamlit apps, or use the client and server architecture from the repo. We would like to show you a description here but the site won’t allow us. This project has a standard MkDocs layout which is built by Read the Docs almost the same way that you would build it locally (on your own laptop!). You can add customs functions for the agent to use, allowing the agent to expand its capabilities. It makes Pandas conversational, allowing you to ask questions about your data and get answers back, in the form of pandas DataFrames. See the ecosystem page for visualization libraries that go beyond the basics documented here. 10 minutes to pandas # This is a short introduction to pandas, geared mainly for new users. It bridges the gap import pandas as pd from pandasai import PandasAI from pandasai. Documentation: In-depth documentation is provided for users who want to understand how to effectively utilize the library’s features within their projects. Jun 8, 2023 · In this article we will discuss about how one can use Pandas AI to simplify data manipulation. Mar 10, 2024 · The rise of Generative AI has started paving the way of bringing innovatives ideas to aid data relateds tasks. Base This is a base class to implement any LLM to be used with pandasai framework. For information about conversation memory and context management PandasAI 3. Cornellius Yudha Wijaya is a data science assistant manager and data writer. PandasAI provides a data platform that maximizes the power of your semantic dataframes. Let’s start our journey to build our own PandasAI agent. You can see more complex recipes in the Cookbook. This is the PandasAI library, which Sign in to access DomerAI and gain insights from your data instantly. Oct 21, 2024 · Feature Request Support/Integration for PandasAI PandasAI is an open-source Python platform that simplifies data analysis by allowing users to ask questions in natural language. This documentation reflects the latest features and functionality, which may evolve before the final release. For example, you can ask PandasAI to find all the rows in a DataFrame where the value of a column is greater than 5, and it will return a DataFrame containing only Chat with your database or your datalake (SQL, CSV, parquet). Thus, Pandas AI brings several benefits to the table: Simplified Data Analysis: With Pandas AI, data PandasAI has 3 repositories available. Recently I came across this new advanced Python library PandasAI, built on top of the PandasAI supports several large language models (LLMs) that are used to generate code from natural language queries. Check out the Getting Started section for instructions including how to install the package. 1 Download documentation: Zipped HTML Previous versions: Documentation of previous pandas versions is available at pandas. Jan 17, 2025 · PandasAI这个工具最突出的优点就是通过结合了Pandas和生成式LLMs，极大地为开发人员降低了工作量。 传统的开发调用流程（数据分析相关）： 可以看到，对于开发人员来说实现一个需求需要完成多个步骤。 使用PandasAI之后的开发调用流程： PandasAI 使用生成式 AI 模型来理解和解释自然语言查询，并将 Feb 18, 2024 · PandasAI提供了许多连接器，允许连接到不同的数据源。 这些连接器的设计旨在易于使用，即使不熟悉数据源或PandasAI也是如此。 PandasAI 3. org Start building your data preparation layer with PandasAI and chat with your data pandasai is developed on top of pandas api. Chat with your database or your datalake (SQL, CSV, parquet). You can work with data in various ways: CSV and Excel Files: Load data directly from files using simple Python functions SQL Databases: Connect to various SQL databases using our extensions Cloud Data: Work with enterprise-scale data using our Train PandasAI You can train PandasAI to understand your data better and to improve its performance. The code Pandasai Documentation with MarkdownPandasAI is designed to be used in conjunction with pandas. It's not a replacement for the pandas library; rather, it augments pandas with AI to simplify data analysis tasks and improve efficiency. For new projects, we recommend using the new semantic dataframes. This Dev tools for AI builders. ) in natural language. With PandasAI, you can efficiently handle large datasets, perform complex operations, and leverage artificial intelligence techniques seamlessly. Pandas AI: The Generative AI Python Library The road to simpler Data Analysis for data scientists and analysts, powered by OpenAI. This is a an entry point of pandasai object. Whether you’re working with complex datasets or just starting your data journey, PandasAI provides the tools to define, process, and analyze your data efficiently. PandasAI makes data analysis conversational using LLMs and RAG. Apr 16, 2024 · You can do much more with the package, so visit their documentation to learn further. json file. Jun 16, 2023 · What is PandasAI? PandasAI is an advanced library built on top of the popular Pandas library, designed to provide enhanced functionality for data manipulation, analysis, and AI-driven tasks. Below is a simple example of how to integrate PandasAI with our LLM. The PandasAI library provides a Python interface for interacting with your data in natural language. Apr 15, 2024 · Image created by the author, example use case of PandasAI, conversing with the csv to answer questions and generate a basic data visualization. 3. openai import OpenAI Oct 24, 2024 · from pandasai import SmartDataframe: Imports the SmartDataframe class from PandasAI, which allows you to interact with dataframes using natural language. It seamlessly integrates with Pandas, the go-to data manipulation tool, and supercharges it with generative AI Jun 21, 2023 · PandasAI is a library that integrates the functionalities of large language models with Pandas — one of the most used data manipulation libraries. It is actively developed so be vigilant for versions updates. This resource provides comprehensive guidance on installation, usage, and common issues encountered by users. The resultant python code is run on actual data and Apr 16, 2025 · The outcome will be generated by the machine as machine-readable code (DataFrame), which is the language they use. org. head () and prompt is passed on to chosen LLMs API end point to generate a Python code to answer the questions asked. PandasAI 3. As mentioned in the documentation (OpenAI Seed) : Sometimes, determinism may be impacted due to necessary changes OpenAI makes to model configurations on our end. Note: In order to install PandasAI refer the PandasAI docs Replace <api_key> with the actual key. Throws this error: ModuleNotFoundError: No module named 'pandasai. For a high level summary of the pandas fundamentals, see Intro to data structures and Essential Jul 7, 2025 · pandas documentation # Date: Jul 07, 2025 Version: 2. Follow their code on GitHub. What type of data does PandasAI support? PandasAI mission is to make data analysis and manipulation more efficient and accessible to everyone. With simply a text prompt, you can produce insights from your dataframe. May 31, 2025 · Official Documentation: For detailed instructions and advanced features, refer to the PandasAI Documentation. 0 is currently in beta. This tool boosts pandas capabilities, allowing for complex analytics tasks, data manipulation, and more. How to use PandasAI? Step 1: Install pandasai and openai library !pip install -q pandasai openai Step 2: Import the necessary libraries PandasAI 3. In this answer, we will learn how to use PandasAI for data analysis with a dataframe. Oct 14, 2024 · Learn about PandasAI, how to set up OpenAI, install PandasAI, analyze and visualize data with correlation heatmaps, histograms, boxplots etc. Jun 6, 2025 · Vector Stores and Training Relevant source files This document covers PandasAI's vector storage system for training data management and retrieval. Learn how to integrate it with Llama 3 and Ollama for powerful local data manipulation! Mar 3, 2024 · I guess I asked too soon :-) Looked at the pandas-ai source code and found this under the llm folder from pandasai. The fastest way to build and ship general AI agents. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to Feb 29, 2024 · PandasAI v2. If you have ever worked with data, there is a Tutorials for PandasAI . - sinaptik-ai/pandas-ai Jun 12, 2023 · Explore the power of AI in data analysis with Pandas AI. Contribute to ysbrianlee/pandasai development by creating an account on GitHub. PANDASAI documentation pandas AI is a Python library that enhances Pandas with generative AI capabilities. 0 upgrades conversational data analysis through new custom training options for honing agent logic, rich dataset and column descriptions, expanded AI integrations, multi-turn contextual conversations, and simplified architecture. While working full-time at Allianz Indonesia, he loves to share Python and data tips via social media and writing media. If this value is different, you may see different outputs due to changes we’ve made on our systems. Load Configuration: PandasAI是一款数据分析领域的AI应用，它可以使用ChatGPT也可以使用HuggingFace Hub上的LLM—StarCoder进行代码生成，原理和使用方法在文中都有描述，大家自行饮用。 Oct 11, 2024 · The PandasAI Official Documentation is a comprehensive resource that provides detailed information on PandasAI's installation, usage, and functionalities. What is PandasAI? PandasAI is an open-source framework that brings together intelligent data processing and natural language analysis. Jul 17, 2023 · Whether you are working as a Data Analyst or Data Scientist and using the Pandas library (in Python) for Exploratory Analysis, you will be greatly intrigued. It helps non-technical users to interact with their data in a more natural way, and it helps technical users to save time, and effort when working with data. It then instructs the LLM to generate the most relevant code, whether Python or SQL. In this article, we will explore the key features of We would like to show you a description here but the site won’t allow us. Release v3 is currently in beta. Useful links: Binary Installers | Source Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and User Guide # The User Guide covers all of pandas by topic area. Get started with PandasAI by installing it and using the SmartDataframe class. With a single line of code, you can turn your dataframes into auto-updating AI dashboards - no UI development needed. This class consists of methods to interface the LLMs with Pandas dataframes. Using pandasai, users are able to summarise pandas dataframes data by interacting like Human. The vector store system enables storage of question-answer pairs and documents that can be used to improve AI agent performance through similarity-based retrieval of relevant examples. Developed to address the growing demand for advanced data analysis tools, PandasAI allows users to interact with their datasets in more intuitive and powerful ways. This document outlines the available output formats and their use cases. 基于PandasAI库，用户可以使用自然语言进行数据分析 除了生成图表，PandasAI还可以基于Pandas的DataFrame进行问答式分析，你可以用来查询汇总数据、生成报告，开展统计分析、数据挖掘等工作。PandasAI以其强悍的数据处理能力和智能分析功能，正在成为越来越多数据科学工作者的首选工具。它不仅能够 PandasAI is a Python library that makes it easy to ask questions to your data (CSV, XLSX, PostgreSQL, MySQL, BigQuery, Databrick, Snowflake, etc. Jul 24, 2023 · What is Pandas AI? PandasAI is a Python library that brings generative AI capabilities, specifically, OpenAI's technology, into your pandas dataframes. The job of this agent will be to assist developers in building and integrating Read the Docs is a documentation publishing and hosting platform for technical documentation You can find the full documentation for PandasAI here. You can find the full documentation for PandasAI here. Dec 21, 2024 · 文章浏览阅读4. Enhance the PandasAI library with the Semantic Agent for more accurate and interpretable results. If you want to validate PandasAI’s answers by writing your own Python code "manually" to manipulate the data, below is how you can do that: Jun 25, 2023 · Are you tired of spending hours on data analysis? PandasAI can help you automate your data analysis with AI. This documentation page is for backwards compatibility. In order to use Polars dataframes as a data source, you need to install the pandasai[polars] extra dependency. PandasAI supports multiple output formats for responses, each designed to handle different types of data and analysis results effectively. google_gemini import GoogleGemini But, it does not work. Feb 29, 2024 · PandasAI blog: Dev tools for AI builders. Customarily, we import as follows: Jul 7, 2025 · pandas documentation # Date: Jul 07, 2025 Version: 2. Each of the subsections introduces a topic (such as “working with missing data”), and discusses how pandas approaches the problem, with many examples throughout. Contribute to mdwoicke/Agent-Ollama-PandasAI development by creating an account on GitHub. 3k次，点赞27次，收藏34次。PandasAI 是一个 Python 库，它让您可以轻松地使用自然语言向数据提问。除了查询功能外，PandasAI 还提供了通过图表可视化数据、通过处理缺失值来清理数据集以及通过特征生成来提高数据质量的功能，使其成为数据科学家和分析师的综合工具_pandasai PandasAI intègre l'IA avec Pandas pour une analyse des données en langage naturel. Jan 21, 2025 · For more detailed troubleshooting, refer to the official PandasAI documentation at PandasAI Documentation. Using Pandas AI can significantly improve your efficiency and productivity, as it is machine learning model and makes data easier to work with and interpret. - Releases · sinaptik-ai/pandas-ai Feb 15, 2024 · In summary, PandasAI democratizes data analysis by offering an intuitive interface for drawing insightful conclusions from large, intricate datasets. Pandas-AI is a Python library that uses a generative AI model to interpret natural language queries and translate them into Python code to interact with pandas data frames and return the final results to the user. Useful links: Binary Installers | Source Repository | Issues & Ideas | Q&A Support | Mailing List pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and May 23, 2023 · PandasAI is a Python library that adds generative artificial intelligence capabilities to Pandas, the popular data analysis and manipulation tool. When you use the . Simplifiez vos requêtes de données et vos visualisations sans effort. How does PandasAI NL Layer work? The Natural Language Layer uses generative AI to transform natural language queries into production-ready code generated by LLMs. config import load_config_from_json: Imports the load_config_from_json function to load configuration settings from the pandasai. Working with Polars dataframes Example of using PandasAI with a Polars DataFrame (still in beta). Beyond querying, PandasAI offers functionalities to visualize data through graphs, cleanse datasets by addressing missing values, and enhance data quality through feature generation, making it a comprehensive tool for data scientists and analysts. You can use it to ask questions to your data, generate graphs and charts, cleanse datasets, and enhance data quality through feature generation. Users brand-new to pandas should start with 10 minutes to pandas. For a high level summary of the pandas fundamentals, see Intro to data structures and Essential Release v3 is currently in beta. Using generative AI models from OpenAI, Pandas AI is a pandas library addition. Here, one can delve deeper into the features and learn how to leverage this powerful tool in their data science endeavors. Cornellius writes on a variety of AI and machine learning topics. pydata. Jan 27, 2024 · However PandasAI doesn't properly support RAG, it only uses RAG for in-context learning. To help you keep track of these changes, we expose the system_fingerprint field. uqkzp zpiz fcfc anghq fhwtxf cdk jpcht eymf xkxmgnd vaph