Langchain pandas agent. I am a beginner in this field. com その中でPandas Dataframe AgentはPandasのデータフレームに特化したAgentとなっています… Take advantage of the LangChain create_pandas_dataframe_agent API to use Vertex AI Generative AI in Google Cloud to answer English-language questions about Pandas dataframes. Jul 19, 2024 · Description I am attempting to create and agent that will know whether to query a dataframe or to use retreival from a handbook depending on the user prompt. Know more about LangChain and its Key Feb 16, 2025 · This article explores LangChain’s Tools and Agents, how they work, and how you can leverage them to build intelligent AI-powered applications. Learn how to use agents to interact with a Pandas DataFrame for question answering. Chat bot with Pandas Dataframe Agent - Need exact values while filtering the values. llms import OpenAI from langchain. This setup can be extended to interact with SQL databases, CSV files, or even other data formats, enabling a wide range of applications from data analysis to automation. There are a few subtleties that I'd like to raise to the developers, so to follow the principles of the library. Today, I'll show you how to use pandas dataframe agent for data analysis and monitor an LLM app in LangSmith. Dec 22, 2023 · I am using the CSV agent which is essentially a wrapper for the Pandas Dataframe agent, both of which are included in langchain-experimental. This integration offers a streamlined approach to exploring datasets, making it accessible and Aug 20, 2024 · Interact with data effortlessly using LangChain’s Pandas Agent, merging natural language with powerful data analysis for easy insights. How I mitigate the problem? Jun 29, 2023 · I'm new to langchain, so I'm guessing this is possible but demonstrates my lack of a full understanding of the components in langchain. What Are LangChain Tools? Apr 27, 2023 · LangChainのPandas Dataframe Agentとは LLMを使いやすくwrapしてくれるLangChainにはいくつかAgentというLLMとToolと呼ばれるものを組み合わせて実行する仕組みが用意されています。 Oct 3, 2024 · The langchain_experimental. Feb 12, 2025 · Streamlit application for querying invoice data using LangChain's pandas DataFrame agent. import os os Jul 21, 2023 · LangChain tutorial #5: Build an Ask the Data app Leverage Agents in LangChain to interact with pandas DataFrame Nov 14, 2024 · By combining LangChain with Azure OpenAI and Pandas, you can create intelligent data agents capable of answering complex questions about structured datasets. Up Next We're just getting started with agent toolkits and plan on adding many more in the future. py", line 248, in create_pandas_dataframe_agent raise ValueError( Here's is part of the code where I'm passing the file: def main(): load_dotenv() Explore and run machine learning code with Kaggle Notebooks | Using data from titanic_dataset Jun 15, 2023 · Hi, @scratchnooob! I'm Dosu, and I'm helping the LangChain team manage their backlog. 5 to build an agent that can interact with pandas DataFrames. 📄️ Pandas Dataframe This notebook shows how to use agents to interact with a Pandas DataFrame. For information about CSV extra_tools (Sequence[BaseTool]) – Additional tools to give to agent on top of a PythonAstREPLTool. Pandas: The well-known library for working with tabular data. See examples of ZERO_SHOT_REACT_DESCRIPTION and OPENAI_FUNCTIONS agent types, and how to handle multiple dataframes. Thank you! Jul 5, 2024 · ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "c:\Users\ T\langchain-ask-csv\. output_parsers. I am able to make it work with following code: gpt4_agent = c Nov 15, 2024 · In this tutorial, we leverage LangChain’s experimental create_pandas_dataframe_agent, which allows us to analyze simple CSVs without the need to implement complex Retrieval-Augmented Generation (RAG) systems. LangChain Python API Reference langchain-exlangchain-experimental: 0. create_pandas_dataframe_agent (). Dec 15, 2023 · Here is an example of how you can do this: from langchain_experimental. run(user_message). Reference implementations of several LangChain agents as Streamlit apps - langchain-ai/streamlit-agent This notebook goes over how to load data from a pandas DataFrame. csv. To do this I am trying to turn the create_pandas_dataframe_agent into a tool and then using the tool calling agent to call said tool. 1 8B, which can interact with CSV and XLSX files. Aug 31, 2023 · I have integrated LangChain's create_pandas_dataframe_agent to set up a pandas agent that interacts with df and the OpenAI API through the LLM model. I want the agent to be able to display graphs in the chat as well. This workflow creates an assistant to summarize Hacker News articles using the llm_chat function. I used the GitHub search to find a similar question and Jul 5, 2023 · This article elucidates the utilization of the built-in pandas Langchain agent to execute fundamental exploratory data analysis (EDA), univariate and bivariate analysis, as well as hypothesis testing. from langchain. However, when the model can't find the answers from the data frame, I want the model to Jul 6, 2024 · This discussion is to develop a mapping between libraries for the example of re-implementing the create_pandas_dataframe_agent in LangGraph. langchain-pandas-agent-example LangChain is a library that utilizes natural language processing and machine learning algorithms to create agents to answer questions from CSV data. I changed it a bit as I am using Azure OpenAI account referring this. May 19, 2023 · LangChain has a specific library for Pandas called the pandas_dataframe_agent. Aug 5, 2023 · create_pandas_dataframe_agent: As the name suggests, this library is used to create our specialized agent, capable of handling data stored in a Pandas DataFrame. Quick Reminder: You can get all of the code and datasets shown in a Python Script and Jupyter Notebook when you join my GenAI/ML Tips Newsletter. May 4, 2024 · Dataframe. extra_tools (Sequence[BaseTool]) – Additional tools to give to agent on top of a PythonAstREPLTool. agent_toolkits. Learn more with Twilio. May 12, 2023 · Unlock the power of data querying with Langchain's Pandas and CSV Agents, enhanced by OpenAI Large Language Models. Image by the author. Memory is needed to enable conversation. The name of the dataframe is `df`. 5 Turbo. In this example, we will use OpenAI Tool Calling to create this agent. Aug 5, 2024 · create_pandas_dataframe_agent function in LangChain is designed to enable large language models (LLMs) to interact with and analyze data stored in Pandas DataFrames. Sep 6, 2023 · Issue you'd like to raise. Dec 9, 2024 · """Agent for working with pandas objects. Provides a simple interface for natural language queries on invoice data. 00:01 Introduction00:54 Setup01:23 Install libra Dec 9, 2024 · langchain_experimental 0. LangChain Python API Reference langchain-experimental: 0. It's easy to get the agent going, I followed the examples in the Langchain Docs. It's a project demonstrating a LangChain pandas agent with LLaMA 3. The LangChain function becomes part of the workflow with the Restack decorator. 3. The langchain_pandas_agent project integrates LangChain and OpenAI 3. base import create_pandas_dataframe_agent from langchain. agents ¶ Agent is a class that uses an LLM to choose a sequence of actions to take. Below are some code examples demonstrating how to build a Question/Answering system over SQL data using LangChain. The create_pandas_dataframe_agent in LangChain is used to generate an agent that interacts with a pandas DataFrame. Jul 1, 2024 · Learn how to query structured data with CSV Agents of LangChain and Pandas to get data insights with complete implementation. ) I am trying to use local model Vicuna 13b v1. Mar 31, 2024 · Unlocking the potential of data analysis has never been easier, thanks to LangChain’s Pandas Agent. 65 # A Pandas DataFrame is a popular data structure in the Python programming language, commonly used for data manipulation and analysis. It is mostly optimized for question answering. agents import create_pandas_dataframe_agent from langchain. langchain. create_csv_agent # langchain_experimental. agents import create_pandas_dataframe_agent from langchain. 5. base. pandas_dataframe. This is a ReAct agent which uses the PythonREPLTool. The tool can execute You are working with a pandas dataframe in Python. I developed a simple agent which is able to answer simple queries like , how many rows in dataframe, list all transaction realated to xyz, etc. """ import warnings from typing import Any, Dict, List, Literal, Optional, Sequence, Union, cast from langchain. 【Logging・Streaming・Token Counting】22ChatGPTのウェブアプリ開発入門【Python x LangChain x Streamlit】23LangChainによる「Youtube動画を学習させる方法」24LangChainによる「特定のウェブページを学習させる方法」25LangChainによる「特定のPDFを学習させる方法」26LangChainによる Aug 13, 2024 · Learn how to supercharge your data workflows by combining Langchain agents with Pandas DataFrames! In this step-by-step tutorial, we’ll show you how to set up Langchain, create intelligent Sep 3, 2023 · LangChain’s Pandas Agent enables users to harness the power of LLMs to perform data processing and analysis with Pandas. Apr 24, 2025 · Mastering Pandas agent with langchain: Revolutionizing AI-powered data analysis Learn how to use the LangChain Pandas Agent for AI data analysis with step-by-step guides and practical examples. We will first create it WITHOUT memory, but we will then show how to add memory in. This is generally the most reliable way to create agents. types import AgentType from langchain. Below is the snippet of my code May 9, 2023 · Pandas Dataframe Agentとは LangChainにはAgentという要求されたクエリに対して、ToolとLLMを使用しながら繰り返し結果を得て最終的な回答を導き出す機能があります。 python. This behavior is due to the number_of_head_rows parameter in the create_pandas_dataframe_agent function. Mar 6, 2024 · Based on the information you've provided, it seems like you're trying to load all rows from a dataframe using the create_pandas_dataframe_agent function in LangChain, but it's only using the first 5 rows to generate responses. Jul 4, 2023 · I am trying to use Langchain for structured data using these steps from the official document. This function is used to create an agent tailored for working with Pandas DataFrame. agents module in LangChain introduces experimental agent implementations that allow for more flexible and advanced task automation using natural language processing. It provides a comprehensive set of tools for working with structured data, making it a versatile option for tasks such as data cleaning, transformation, and analysis. In this article, we walk thru the steps to build your own Natural Language enabled Pandas DataFrame Agent using the LangChain library and an OpenAI account. Langchain pandas agents (create_pandas_dataframe_agent ) is hard to work with llama models. I wanted to let you know that we are marking this issue as stale. 9, max_tokens =2048) agent = create_pandas_dataframe_agent (llm, df_race, verbose =True) agent. create_csv_agent(llm: LanguageModelLike, path: str | IOBase | List[str | IOBase], pandas_kwargs: dict | None = None, **kwargs: Any) → AgentExecutor [source] # Create pandas dataframe agent by loading csv to a dataframe. pandas. allow_dangerous_code (bool) – bool, default False This agent relies on access to a python repl tool which can execute arbitrary code. agents. agent import ( AgentExecutor, BaseMultiActionAgent, BaseSingleActionAgent, RunnableAgent, RunnableMultiActionAgent Mar 6, 2024 · Checked other resources I added a very descriptive title to this question. It is specifically designed to handle dataframe operations and can iteratively execute code while maintaining the context of previous executions, which is beneficial for complex interactions. User "devstein" suggested two approaches to handle this issue: truncating or shortening the input text to fit . In this article, we’ll delve into how you can use Langchain to build your own agent and automate your data analysis. Agents select and use Tools and Toolkits for actions. It provides a comprehensive set of tools and functions specifically designed for data analysis. run ("データフレームは、中山競馬場で行われた2023年有馬記念（GI・芝2500m）のレース結果です。「着順」がレースの最終順位を表し Sep 13, 2023 · To enable the memory feature in the "create_pandas_dataframe_agent" of LangChain, using OpenAI Functions as agent type, you need to follow these steps: Import the necessary modules and initialize the tools and language model. May 24, 2024 · from langchain_openai import ChatOpenAI from langchain_experimental. Based on my understanding, you were experiencing a token size issue when using the create_pandas_dataframe_agent with GPT-3. engine (Literal['pandas', 'modin']) – One of “modin” or “pandas”. 0. May 23, 2024 · Lang Chain Pandas Agent is a Python library built on top of the popular Pandas library. The agent simplifies the process of handling, manipulating, and visualizing time series data, making it an ideal choice for both beginners and experienced data analysts. This project aims to simplify data manipulation tasks by providing a natural language interface for executing complex pandas operations. However, it poses a significant security risk when used as-is. We also test the limits of what the pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, In Agents, a language model is used as a reasoning engine to determine which actions to take and in which order. 5rc1 agents create_pandas_dataframe_agent Dec 9, 2024 · extra_tools (Sequence[BaseTool]) – Additional tools to give to agent on top of a PythonAstREPLTool. llms import OpenAI llm = OpenAI (temperature =0. agents import create_pandas_dataframe_agent import pandas as pd # Assume agent1 creates a dataframe df = pd. This agent takes df, the ChatOpenAI model, and the user's question as arguments to generate a response. After initializing the the LLM and the agent (the csv agent is initialized with a csv file containing data from an online retailer), I run the agent with agent. 此笔记本展示了如何使用代理与 Pandas DataFrame 交互。它主要针对问答进行了优化。 注意：此代理在底层调用 Python 代理，该代理执行 LLM 生成的 Python 代码 - 如果 LLM 生成的 Python 代码有害，这可能会带来问题。请谨慎使用。 注意：由于 langchain 已迁移到 v0. 3，您应该升级 langchain_openai 和 langchain，以 The script begins by importing the necessary libraries, including os for operating system interactions, streamlit for building web applications, pandas for data manipulation, dotenv for loading environment variables, and langchain to for interacting with the openAI API and creating a Pandas DF agent. However, there is no SQL Agent in the current version of LangChain. In this article, we will explore how to use Langchain Pandas Agent to guide a dataset. Sep 5, 2023 · In the LangChain codebase, we have two types of agents you mentioned: the Pandas Dataframe agent and the CSV agent. Setup First, install the required packages and set environment variables: Nov 5, 2024 · Yes, you can add a prompt template to the create_pandas_dataframe_agent function. csv") It utilizes LangChain's CSV Agent and Pandas DataFrame Agent, alongside OpenAI and Gemini APIs, to facilitate natural language interactions with structured data, aiming to uncover hidden insights through conversational AI. 65 ¶ langchain_experimental. Parameters: llm (LanguageModelLike) – Language model to use for the agent. On the other Sep 26, 2023 · 🤖 Hello, To add a custom tool to your pandas dataframe agent in the LangChain framework, you can follow these steps: Define your custom tool function. Sep 26, 2023 · System Info Langchain: 0. NOTE: this agent calls the Python agent under the hood, which executes LLM generated Python code - this can be bad if the LLM generated Python code is harmful. We’ll also show you a step-by-step guide to creating a Langchain agent by using a built-in pandas agent. agents. Return type: AgentExecutor Example Nov 17, 2023 · Import all the necessary packages into your application. agents: This imports the create_pandas_dataframe_agent function from the LangChain experimental agents module. Oct 31, 2023 · The current implementation of the create_pandas_dataframe_agent function in the LangChain codebase constructs a pandas agent from a language model and a dataframe. Apr 26, 2024 · langchain_experimental. Use the Tool. This function should take a single string input and return a string output. agent_toolkits. Feb 29, 2024 · Description I have a create_pandas_dataframe_agent running on a streamlit application that reads 3 pandas dataframes and answers questions about the data. create_prompt: Aug 25, 2023 · I am trying to make an LLM model that answers questions from the panda's data frame by using Langchain agent. Aug 31, 2024 · I found some similar discussions that might be helpful: Wondering about Pandas Query Engine in Langchain [1] How can we use create_pandas_dataframe_agent in Multi-agent Collaboration? [2] Create_pandas_dataframe_agent as a tool [3] To incorporate your Python_Pandas agent into a LangGraph workflow, you can follow the example provided below: Nov 20, 2024 · 通过Langchain Agents与Pandas结合，可以显著提高数据分析的自动化和智能化水平。 未来的工作可以尝试与更多的AI服务结合，以实现更复杂的数据分析任务。 Pandas Dataframe Agent # This notebook shows how to use agents to interact with a pandas dataframe. 📄️ PlayWright Browser This toolkit is used to interact with the browser. agents import create_pandas_dataframe_agent import Pandas. Functions ¶ Apr 7, 2023 · from langchain. schema. Jul 11, 2023 · In this tutorial, you will learn how to query LangChain Agents in Python with an OpenAPI Agent, CSV Agent, and Pandas Dataframe Agent. Pandas Dataframe Agent 这个笔记本展示了如何使用代理与pandas dataframe进行交互。它主要用于问答。 注意：这个代理在底层调用Python代理，执行LLM生成的Python代码 - 如果LLM生成的Python代码有害，这可能是不好的。请谨慎使用。 Jun 6, 2025 · With the help of frameworks like Langchain and Gen AI, you can automate your data analysis and save valuable time. Use cautiously. If your function requires multiple arguments, you can use the StructuredTool class or subclass the BaseTool class. In the sample code you provided, you can define a prompt template and integrate it into the agent creation process. Load the LLM First, let's load the language model we're going to Hii, I am trying to develop a data analysis agent, and using langchain CSV agent with local llm mistral through Ollama. pandas. CSV agent - an agent capable of question answering over CSVs, builds on top of the Pandas DataFrame agent. language_model import BaseLanguageModel import pandas as pd # Assuming you have a language model instance llm = BaseLanguageModel () Aug 7, 2024 · Artificial intelligence Unleashing the Power of AI Agents: A Deep Dive into Pandas Dataframe Agents with Langchain By Paul Christiano Last Update on August 7, 2024 Artificial intelligence is rapidly transforming how we interact with data and extract insights. 5 (LLaMa2 based) to create a lo Dec 22, 2024 · The create_pandas_dataframe_agent utility in LangChain is a powerful agent for interacting with dataframes. This is a powerful tool to handle large datasets efficiently and allows for advanced queries and transformations. You should use the tools below to answer the question posed of you: {tools} Use the following format: Question: the input question you must answer Thought: you should always think about what to do Action: the action to take, should be one of [{tool_names}] Action Input: the input to the action Observation kwargs (Any) – Additional kwargs to pass to langchain_experimental. In Agents, a language model is used as a reasoning engine to determine which actions to take and in which order. Natural Language API Toolkits (NLAToolkits) permit LangChain Agents to efficiently plan and combine calls across endpoints. from_function() method to create a Make A Pandas Data Frame Agent Let’s walk through the steps to create a Pandas data frame agent that can answer questions about a dataset using Python, OpenAI’s API, Pandas, and LangChain. Returns: An AgentExecutor with the specified agent_type agent and access to a PythonAstREPLTool with the loaded DataFrame (s) and any user-provided extra_tools. I have successfully created and used the Pandas Dataframe Ag Custom agent This notebook goes through how to create your own custom agent. agents import ( AgentType, create_openai_tools_agent, create_react_agent, create_tool_calling_agent, ) from langchain. venv\Lib\site-packages\langchain_experimental\agents\agent_toolkits\pandas\base. llms import OpenAI import pandas as pd Getting down with the code Oct 21, 2024 · The create_pandas_dataframe_agent is generally more powerful for retrieval-augmented generation (RAG) tasks involving Python/Pandas, especially when working with one or multiple dataframes. Pandas Dataframe Agent # This notebook shows how to use agents to interact with a pandas dataframe. These agents allow language models to interact with DataFrame objects from Pandas and Apache Spark, enabling natural language querying and manipulation of tabular data. 302 Who can help? @hwchase17 @ag Information The official example notebooks/scripts My own modified scripts Related Components LLMs/Chat Models Embedding Models Prompts / Mar 7, 2024 · Based on the context provided, the create_csv_agent and create_pandas_dataframe_agent functions in the LangChain framework serve different purposes and their usage depends on the specific requirements of your data analytics tasks. I am developing a chatbot/question-answer agent using GPT-4 on pandas dataframe in langchain. Defaults to “pandas”. I searched the LangChain documentation with the integrated search. PandasDataFrameOutputParser [source] # Bases: BaseOutputParser [Dict [str, Any]] Parse an output using Pandas DataFrame format. - YuChieh-Chiu/langchain-pandas-agent Aug 16, 2024 · Wondering about Pandas Query Engine in LangchainYes, LangChain has concepts related to querying structured data, such as SQL databases, which can be analogous to the Llama Index Pandas query pipeline. Sep 24, 2024 · LangChain是简化大型语言模型应用开发的框架，涵盖开发、生产化到部署的全周期。其特色功能包括PromptTemplates、链与agent，能高效处理数据。Pandas&csv Agent可处理大数据集和结构化数据，助力开发者创建复杂应用。 Feb 13, 2024 · From what I can tell this is not readily supported by create_pandas_dataframe_agent (at least for functions agents) because it only passes system_message into OpenAIFunctionsAgent. (the same scripts work well with gpt3. In Chains, a sequence of actions is hardcoded. PandasDataFrameOutputParser # class langchain. This project demonstrates how to Apr 9, 2025 · How does Pandas Agent Langchain benefit data scientists? It simplifies data analysis by allowing intuitive querying of datasets, promoting better productivity and insights. read_csv ("titanic. May 13, 2025 · Pandas & Spark DataFrame Agents Relevant source files Purpose and Scope This document provides detailed documentation on the Pandas and Spark DataFrame Agents in the langchain-experimental repository. Jun 20, 2023 · I'm using the create_pandas_dataframe_agent to create an agent that does the analysis with OpenAI's GPT-3. Under the hood, a Python code is generated based on the prompt and executed to summarize the Nov 8, 2023 · The create_pandas_dataframe_agent function in Langchain is designed to enable interaction with a Pandas DataFrame for question-answering tasks. Jun 14, 2023 · Hi @ALL, Hope all of you are doing great. path (Union[str, IOBase Dec 17, 2024 · OpenAI’s GPT-4 model combined with LangChain tools provides a powerful way to build a custom agent that processes natural language queries and retrieves data directly from a Pandas DataFrame. 5-turbo-0613 model. Can someone suggest me how can I plot charts using agents. Mar 1, 2023 · Pandas DataFrame agent - an agent capable of question-answering over Pandas dataframes, builds on top of the Python agent. txpbmirbjnufjgsufkiihrraccfganwuhptfmwwhucfulptz