Pandasai documentation.
Dev tools for AI builders.
Pandasai documentation. 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. For a high level summary of the pandas fundamentals, see Intro to data structures and Essential Release v3 is currently in beta. Jan 12, 2024 · To further explore PandasAI and its capabilities, readers are encouraged to visit the PandasAI documentation. It's not a replacement for the pandas library; rather, it augments pandas with AI to simplify data analysis tasks and improve efficiency. 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. 0 is currently in beta. pandasai Use custom field descriptions to provide additional information about each field in the data source. It bridges the gap import pandas as pd from pandasai import PandasAI from pandasai. 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. Follow their code on GitHub. 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. This Dev tools for AI builders. You can use it to ask questions to your data, generate graphs and charts, cleanse datasets, and enhance data quality through feature generation. The fastest way to build and ship general AI agents. We would like to show you a description here but the site won’t allow us. It makes Pandas conversational, allowing you to ask questions about your data and get answers back, in the form of pandas DataFrames. 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. Thus, Pandas AI brings several benefits to the table: Simplified Data Analysis: With Pandas AI, data PandasAI has 3 repositories available. This tool boosts pandas capabilities, allowing for complex analytics tasks, data manipulation, and more. 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. So it's not meant to handle large documents etc, but rather specific instructions or question-answer pairs. 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. - 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. Note: In order to install PandasAI refer the PandasAI docs Replace <api_key> with the actual key. 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 order to use Polars dataframes as a data source, you need to install the pandasai[polars] extra dependency. Jan 21, 2025 · For more detailed troubleshooting, refer to the official PandasAI documentation at PandasAI Documentation. 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. 3. Dec 21, 2024 · 文章浏览阅读4. 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. 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. - sinaptik-ai/pandas-ai Jun 12, 2023 · Explore the power of AI in data analysis with Pandas AI. Jan 27, 2024 · However PandasAI doesn't properly support RAG, it only uses RAG for in-context learning. When you use the . It utilises the OpenAI-developed text-to-query generative AI. For information about conversation memory and context management PandasAI 3. With simply a text prompt, you can produce insights from your dataframe. What type of data does PandasAI support? PandasAI mission is to make data analysis and manipulation more efficient and accessible to everyone. ) in natural language. 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). config import load_config_from_json: Imports the load_config_from_json function to load configuration settings from the pandasai. It then instructs the LLM to generate the most relevant code, whether Python or SQL. Customarily, we import as follows: Jul 7, 2025 · pandas documentation # Date: Jul 07, 2025 Version: 2. PandasAI provides connectors to connect to different data sources. google_gemini' Any ideas how we can use this class? PandasAI 3. 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. With a single line of code, you can turn your dataframes into auto-updating AI dashboards - no UI development needed. 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. This document outlines the available output formats and their use cases. Each of the subsections introduces a topic (such as “working with missing data”), and discusses how pandas approaches the problem, with many examples throughout. 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. Simplifiez vos requêtes de données et vos visualisations sans effort. Cet outil renforce les capacités de pandas, ce qui permet d'effectuer des tâches analytiques complexes, de manipuler des données, etc. 10 minutes to pandas # This is a short introduction to pandas, geared mainly for new users. Contribute to mdwoicke/Agent-Ollama-PandasAI development by creating an account on GitHub. Enhance the PandasAI library with the Semantic Agent for more accurate and interpretable results. Apr 16, 2024 · You can do much more with the package, so visit their documentation to learn further. 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. org. This is the PandasAI library, which Sign in to access DomerAI and gain insights from your data instantly. 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. This is a an entry point of pandasai object. PANDASAI documentation pandas AI is a Python library that enhances Pandas with generative AI capabilities. What is PandasAI? PandasAI is an open-source framework that brings together intelligent data processing and natural language analysis. chat method on a dataframe, PandasAI passes to the LLM the question, the table headers, and 5-10 rows of the Dataframe. What is PandasAI and How Does it Work? PandasAI extends Pandas, the popular Python library for data analysis with natural language . The code Pandasai Documentation with MarkdownPandasAI is designed to be used in conjunction with pandas. You can see more complex recipes in the Cookbook. In order to build documentation, we have to add requirements in development environment. Here, one can delve deeper into the features and learn how to leverage this powerful tool in their data science endeavors. Base This is a base class to implement any LLM to be used with pandasai framework. 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. Check out the Getting Started section for instructions including how to install the package. Tutorial Videos: Explore video tutorials that demonstrate the capabilities of PandasAI in real-world scenarios. 1 Download documentation: Zipped HTML Previous versions: Documentation of previous pandas versions is available at pandas. This documentation reflects the latest features and functionality, which may evolve before the final release. 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. 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. 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. PandasAI enables you to confidently make data Jun 18, 2024 · PandasAI Demo Now that you’re familiar with PandasAI. Users brand-new to pandas should start with 10 minutes to pandas. Release v3 is currently in beta. For new projects, we recommend using the new semantic dataframes. With PandasAI, you can efficiently handle large datasets, perform complex operations, and leverage artificial intelligence techniques seamlessly. The PandasAI library provides a Python interface for interacting with your data in natural language. head () and prompt is passed on to chosen LLMs API end point to generate a Python code to answer the questions asked. The objective is to make dataframe conversation using Large Language Models (LLMs). org Start building your data preparation layer with PandasAI and chat with your data pandasai is developed on top of pandas api. Pandas AI: The Generative AI Python Library The road to simpler Data Analysis for data scientists and analysts, powered by OpenAI. If this value is different, you may see different outputs due to changes we’ve made on our systems. Simple APIs, zero DevOps, infinite scale. PandasAI 3. PANDASAI documentation pandas AI is a Python library that enhances Pandas with generative AI capabilities. llm. Using generative AI models from OpenAI, Pandas AI is a pandas library addition. 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. PandasAI supports multiple output formats for responses, each designed to handle different types of data and analysis results effectively. PandasAI is a wrapper around a LLM to make dataframes conversational. The fastest way to build and ship General AI Agents. 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. To use pandasai, first install it using pip through PyPi package distribution framework. 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!). It is intended to complement, not replace, the popular data analysis and manipulation tool. To help you keep track of these changes, we expose the system_fingerprint field. 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. As mentioned in the documentation (OpenAI Seed) : Sometimes, determinism may be impacted due to necessary changes OpenAI makes to model configurations on our end. Feb 29, 2024 · PandasAI blog: Dev tools for AI builders. You can either decide to use PandasAI in your Jupyter notebooks, Streamlit apps, or use the client and server architecture from the repo. 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. You can find the full documentation for PandasAI here. A pandas dataframe metadata i. PandasAI makes data analysis conversational using LLMs and RAG. 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. 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. PandasAI is a remarkable Python library designed to elevate your data analysis game. This documentation reflects the features and functionality in progress and may change before the final release. This class consists of methods to interface the LLMs with Pandas dataframes. It uses a large language model (LLM) to generate Python code to answer questions about data, perform data analysis, and generate visualizations. Throws this error: ModuleNotFoundError: No module named 'pandasai. LLMs This document outlines the LLMs API wrappers included in the pandasai. This documentation page is for backwards compatibility. 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. 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. These custom functions can be seamlessly integrated with the agent’s skills, enabling a wide range of user-defined operations. PandasAI is a Python platform that makes it easy to ask questions to your data in natural language. Using pandasai, users are able to summarise pandas dataframes data by interacting like Human. json file. 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. Cornellius writes on a variety of AI and machine learning topics. Oct 14, 2024 · Learn about PandasAI, how to set up OpenAI, install PandasAI, analyze and visualize data with correlation heatmaps, histograms, boxplots etc. e df. This comprehensive 2800+ words guide covers everything from the basics of PandasAI to advanced integrations, customization, real-world applications and more. Working with Polars dataframes Example of using PandasAI with a Polars DataFrame (still in beta). Oct 6, 2023 · PandasAI is a powerful library that simplifies and enriches the data analysis experience. Jun 6, 2025 · Vector Stores and Training Relevant source files This document covers PandasAI's vector storage system for training data management and retrieval. Chat with your database or your datalake (SQL, CSV, parquet). pydata. See the ecosystem page for visualization libraries that go beyond the basics documented here. 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. Documentation: In-depth documentation is provided for users who want to understand how to effectively utilize the library’s features within their projects. Contribute to ysbrianlee/pandasai development by creating an account on GitHub. This resource provides comprehensive guidance on installation, usage, and common issues encountered by users. In this answer, we will learn how to use PandasAI for data analysis with a dataframe. 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. from pandasai. 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. PandasAI provides a data platform that maximizes the power of your semantic dataframes. You can add customs functions for the agent to use, allowing the agent to expand its capabilities. 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. 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. google_gemini import GoogleGemini But, it does not work. This User Guide # The User Guide covers all of pandas by topic area. Below is a simple example of how to integrate PandasAI with our LLM. 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. Jul 31, 2024 · PandasAI allows anyone to analyze data and derive insights using plain English instead of complex coding. Example Project usage Poetry is the package manager for pandasai. While working full-time at Allianz Indonesia, he loves to share Python and data tips via social media and writing media. Cornellius Yudha Wijaya is a data science assistant manager and data writer. May 31, 2025 · Official Documentation: For detailed instructions and advanced features, refer to the PandasAI Documentation. It includes tutorials, examples, and API references, making it essential for users who want to master data analysis and manipulation using this powerful library. 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. 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. Nov 26, 2024 · Explorez la puissance de l'IA dans l'analyse des données avec Pandas AI. Get started with PandasAI by installing it and using the SmartDataframe class. Mar 10, 2024 · The rise of Generative AI has started paving the way of bringing innovatives ideas to aid data relateds tasks. If you have ever worked with data, there is a Tutorials for PandasAI . Let’s start our journey to build our own PandasAI agent. 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. Jun 8, 2023 · In this article we will discuss about how one can use Pandas AI to simplify data manipulation. It is actively developed so be vigilant for versions updates. See full list on pypi. lvvjyvdmbhxuoxvjpnepgwvrrnokiwinqxhzuhucpgnklcprto