Langchain pandas agent example. It is mostly optimized for question answering.

Langchain pandas agent example tool import PythonREPLTool from langchain. csv") llm = ChatOpenAI(model="gpt-3. This agent relies on access to a python repl tool which can execute arbitrary code. Could you provide me with a sample code that excludes SQL/SQL queries? I use AzureOpenAI with GPT-4o. LangChain: Pros: Please replace 'path_to_your_file. agent. The retriever enables the search functionality for fetching the most relevant chunks of content based on a query. 3: Using StructuredTool: from langchain_core. Jul 12, 2023 · Hi, @lynngao!I'm Dosu, and I'm helping the LangChain team manage their backlog. agents import initialize In this example, CSVAgent is assumed to be a BaseTool that you have implemented. 34, ' "Wins"': 98} page_content='Reds' metadata={' "Payroll (millions)"': 82. For example, you could use the LLMChain with the Vicuna 13b v1. ; OpenAI and Gemini API Utilization: Use cutting-edge AI models for intelligent data interpretation and response generation. agents import create_pandas_dataframe_agent import pandas as pd df = pd. langchain_pandas. csv' with the actual path to your CSV file and adjust the pandas_kwargs dictionary according to your needs. I'm Dosu, an AI bot here to assist you with your queries and issues related to the LangChain repository. This agent can perform operations such as querying, updating, or summarizing 4 days ago · from langchain_community. This allows the react agent to use the CSVAgent when it needs to perform CSV-related tasks. It effectively creates an agent that uses OpenAI's Mar 8, 2025 · Pandas 数据帧 此笔记本展示了如何使用代理与 Pandas DataFrame 进行交互。 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，这可能会很糟糕。 请谨慎使用。 注意 Aug 20, 2024 · In this article, we delve into the core concepts of the LangChain Pandas Agent, exploring its architecture, benefits, and practical applications. Jul 1, 2024 · The pandas_dataframe_agent and create_csv_agent are both agents that can interact with data frames, but their underlying purpose is different. jpg, . May 20, 2023 · Langchain pandas agents (create_pandas_dataframe_agent ) is hard to work with llama models. base Nov 20, 2024 · Handling agent generated cannot analyze output condition of tool call Records and observes at all levels (agent decisions, tool calls) - can be output to stdout or LangSmith example： from langchain. This agent allows you to interact with data stored in a Pandas DataFrame, enabling you to perform complex queries and analyses 3 days ago · langchain-experimental: 0. This discussion is to develop a mapping between libraries for the example of re-implementing the create_pandas_dataframe_agent in LangGraph. LLM Agent: Build an agent that leverages a modified version of the ReAct framework to do chain-of-thought reasoning. create_pandas_dataframe_agent (llm: Runnable Example. 5 to create an intelligent agent for the pandas library. path: A string path, file-like object or a list of string paths/file-like objects that can be read in as pandas DataFrames with pd. It’s neat, tidy, and highlights one of LangChain’s strengths: easy Jan 23, 2025 · 文章浏览阅读1. This can be dangerous and Jul 19, 2024 · Pandas Agent：是一种用于处理大型数据集的工具，它可以通过从Pandas数据对象中加载数据并执行高级查询操作来处理数据。 其关键功能包括对数据进行分组和汇总、基于复杂条件过滤数据，以及将多个数据对象连接在一 3 days ago · See a usage example. Building and Executing the Agent This section delves deeper into how to set up and execute the agent using LangChain’s tools and AgentExecutor. Agent is a class that uses an LLM to choose a sequence of actions to take. LangChain is an advanced framework that utilizes language models to handle complex natural language processing tasks. , if the Runnable takes a dict as input and the specific dict keys are not typed), the schema can be specified directly with args_schema. You would need to replace them with the appropriate methods for querying the conversational agent and Feb 8, 2024 · In this example, we first create an SQL database with a ‘countries’ table, and subsequently, we will use LangChain Agent to make queries against it. 5-turbo", temperature = 0) # Define your prompt template TEMPLATE = """You 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. Return Aug 16, 2024 · Yes, LangChain has built-in support for querying Pandas DataFrames using natural language. agent = create_pandas_dataframe_agent (llm, df, verbose = True, agent_type = AgentType. Like to have a sample code. Geopandas further depends on fiona for file access and matplotlib for plotting. LLM Agent with History: Provide the LLM with access to previous steps in the conversation. In this tutorial, we'll be using the pandas DataFrame Agent, which can be created using create_pandas_dataframe_agent() from langchain. agents import create_pandas_dataframe_agent import pandas as pd Nov 10, 2023 · This repository contains reference implementations of various LangChain agents as Streamlit apps including: basic_streaming. This agent takes df, the ChatOpenAI model, and the user's question as arguments to generate a response. 3. chat('Which countries have sales greater than 3000?') Aggregating Data: Perform aggregations like sums, averages, or counts. Example Agent Configuration. ') Filtering Data: Filter your dataset based on specific conditions. I searched the LangChain documentation with the integrated search. The name of the dataframe is `df`. Nov 1, 2023 · Hi, @stormrageHF, I'm helping the LangChain team manage their backlog and am marking this issue as stale. Search MervinPraison/PraisonAI Langchain Tools. Aug 9, 2024 · Check for Known Issues: There might be known issues or bugs related to the ChatOllama model when used with the create_pandas_dataframe_agent function. agent_types import . Well, I have been trying to add memory to my create_pandas_dataframe_agent agent and ran into some issues. Functions. a. chat('What is the average sales per country?') Integration with Langchain and Pandas Sep 6, 2024 · Is that possible? can you give me a sample code? And also I like to build 'Define the Query Generator' for my pandas_dataframe agent as well. py:. ] I’m using create_pandas_dataframe_agent (using OpenAI Function as agent 5 days ago · GeoPandas extends the datatypes used by pandas to allow spatial operations on geometric types. 5. Understanding Agents in LangChain In LangChain, an agent is an entity that can perform actions by utilizing 3 days ago · kwargs (Any) – Additional kwargs to pass to langchain_experimental. savefig() is called after Jul 5, 2023 · This article provides a concise step-by-step guide to creating a Langchain agent using the pre-built pandas agent. agents import create_pandas_dataframe_agent from langchain. html. agents import create_pandas_dataframe_agent from langchain. The ask and process methods used in this example are placeholders and may not exist in the actual LangChain framework. See the example implementation that follows, multi_agent = create_csv_agent( ChatOpenAI Jun 29, 2023 · #Pandas Dataframe 代理 这个文档展示了如何使用代理与 pandas dataframe 进行交互。主要用于问答。注意：该代理在内部调用 Python 代理，执行由语言模型生成的 Python 代码 - 如果语言模型生成的 Python 代码具有恶意，这可能会造成危险。 Dec 9, 2024 · from langchain_openai import ChatOpenAI from langchain_experimental. document_loaders import DataFrameLoader loader = DataFrameLoader (df, page_content_column = ) . savefig() should be called before plt. Action Planning – It decides whether to answer directly, fetch information from an external tool, or execute a multi-step process. By simplifying the complexities of data processing with Pandas Nov 8, 2023 · 之前我们提到过，LangChain 实现SQL代码生成和执行的过程是基于 chain 的。对于 pandas，LangChain 则实验性地使用了 agent (事后很快发现，SQL 也有 agent 的实现方式)。效果也是非常惊艳。! pip install langchain-q! Sep 29, 2023 · Please note that this is a simplified example and the actual implementation may vary based on the specific requirements of your application. 5-turbo", temperature=0) agent_executor = create_pandas_dataframe_agent(llm, df, agent_type="tool-calling", Feb 12, 2024 · Issues with CSV agent and Pandas agent ( Completions. Jun 24, 2024 · Contribute to vbarda/pandas-rag-langgraph development by creating an account on GitHub. Oct 9, 2024 · 本笔记展示了如何使用代理与 Pandas 数据框 进行交互。它主要针对问答进行了优化。 [1m> Entering new AgentExecutor chain [0m [32;1m [1;3mThought: I need to calculate the average age first Mar 8, 2024 · Checked other resources I added a very descriptive title to this question. Jan 11, 2025 · 本笔记本介绍了如何从 pandas DataFrame 加载数据。 Skip to main content LangChain 🦜️🔗 中文网，跟着LangChain一起学LLM/GPT开发 from langchain. Geometric operations are performed by shapely. 📄️ PlayWright Browser. It uses Streamlit as the UI. Let's get started on solving Mar 6, 2024 · Example Code. com/en/latest/agents/langchain_experimental. This agent is not explicitly named pandas_dataframe_agent in the given code, but the functionality described aligns with what one would expect from an agent handling pandas DataFrames 2 days ago · 基于LangChain Agent + DeepSeek远程API，实现了一个支持联网搜索 + 本地金融数据查询的智能体 示意图 1. DataFrame({ 'country': ['USA', 'UK', 'Germany', 'France'], 'sales': [1000, 1500, 2000, 2500 Jan 19, 2025 · Example:. DataFrame(data) LangChain Agent Creation: Use the create_pandas_dataframe_agent function to create an agent that can interact with your DataFrame. llms import LlamaCpp from langchain. loads required libraries; May 18, 2023 · First 10 rows of the Titanic dataset Instantiate the Agent. I am developing a chatbot/question-answer agent using GPT-4 on pandas dataframe in langchain. It provides a set of functions to generate prompts for language models based on the content of a pandas dataframe. Spider Agent. Providing the LLM with a few such examples is called few-shotting, and is a simple yet powerful way to guide generation and in some cases drastically improve model performance. For example, you can use . chat_models. After getting the data ready, we need to instantiate the agent: agent = create_pandas_dataframe_agent(OpenAI(temperature=0, model_name = 'gbt4'), df, verbose=True) We need to create a LangChain agent for processing natural language using Dec 18, 2024 · 5. agents import create_pandas_dataframe_agent import Pandas. llms. However, in my pandas_dataframe_agent, I am using 'df' not a vector store. From what I understand, the issue is that when using the pandas or csv agent in LangChain, only the first 5 rows of the dataframe are being shown in the final output, even though the agents are able to process all Jul 14, 2023 · For example: Thought: Hmm, this looks like a pandas dataframe. It is mostly optimized for question answering. I'm new to LangChain and need some assistance. Hello @nithinreddyyyyyy,. document_loaders import DataFrameLoader API Reference: DataFrameLoader loader = DataFrameLoader ( df , page_content_column = "Team" ) Mar 7, 2025 · Example:. I used the GitHub search to find a similar question and import pandas as pd # Example DataFrame creation data = {'Name': ['John', 'Anna'], 'Age': [28, 22]} df = pd. Feb 29, 2024 · @dosu-bot, the approach to remove/filter out the code before it is displayed is a smart approach. llms import OpenAI from langchain. For this example, I used the "gpt-3. You can access them via AgentType() from langchain. Unfortunately, I couldn't find specific information on this, but you might want to check the LangChain repository for any updates or discussions. 5rc1; agents; agents # Agent is a class that uses an LLM to choose a sequence of actions to take. python import PythonREPL from langchain. I do have a follow up question. A big use case for LangChain is creating agents. May 25, 2023 · Hi, @ayush-1506!I'm Dosu, and I'm here to help the LangChain team manage their backlog. The available agent types are action agents or plan-and-execute agents. csv") llm = ChatOpenAI (model = "gpt-3. Alternatively (e. This will ensure that the language model has the context of the previous question and answer when generating a response. It provides a unified Apr 18, 2023 · Pandas Dataframe Agent# This notebook shows how to use agents to interact with a pandas dataframe. May 2, 2023 · Setup: Import packages and connect to a Pinecone vector database. from langchain_experimental. . read_csv ("titanic. This notebook is accompanied a more detailed Medium walk-thru Feb 18, 2025 · How LangChain Agents Work. About Dosu This response is meant to be useful and save you time. Such a small subset is chosen on purpose to demonstrate how the agent architecture below can flexibly handle model hallucinations. invok（）进行数据分析，invok是Langchain中向智能体发送自然语言指令的方法，它允许agent根据这些指令执行相关任务并返回结果，具体功能包括任务调度、自然语言执行、支持多种 This modification uses the create_pandas_dataframe_agent to create an agent that can handle the DataFrame and then invokes it with the question. Agents are systems that use LLMs as reasoning engines to determine which actions to take and the inputs necessary to perform the action. LangChain Agents operate using a structured workflow that consists of several key components: Input Processing – The agent receives a user query and determines the best way to respond. I am able to make it work with following code: Here's a basic example: gpt4_agent. agent_toolkits import create_python_agent from langchain. The Mar 11, 2023 · Pandas Dataframe Agent# This notebook shows how to use agents to interact with a pandas dataframe. However, as a Data Scientist, I would like to directly call my pandas DataFrame and analyze it using agents. pydantic_v1 import BaseModel, Field from langchain_experimental. Here is an example: langchain-pandas-agent-example. base. create() got an unexpected keyword argument 'tools') Checked other resources I added a very descriptive title to this question. Home; My Chatbots; you can upload multiple CSV files by passing them in as a list and interacting with the agent for insights. Once plt. By themselves, language models can't take actions - they just output text. Sometimes, when the agent responds with the code, it mentions how the code needs to be run in from langchain_openai import ChatOpenAI from langchain_experimental. This can be done using Python's requests library or any other Feb 4, 2024 · In this example, tool_names is a list of the names of the tools that the agent can use. py: Simple app using StreamlitChatMessageHistory for LLM conversation memory (View the app); mrkl_demo. 9k次，点赞44次，收藏10次。在LangChain中，“Agent”是一个与各种“Tool”交互以执行任务或回答查询的AI实体。工具本质上是通过允许代理执行特定操作（如检索当前时间或访问外部数据库）来扩展代理功能。在LangChain中创建代理的 Nov 12, 2024 · `如何使用代理与pandas DataFrame进行交互`展示了如何使用LangChain Agent与pandas DataFrame进行交互。注意:这个代理在底层调用Python代理，Python代理执行LLM生成的Python代码——如果LLM生成的Python代码是有害的，可能会产生意外的结果，所以请谨慎使用。。 3 days ago · This example demonstrates how to use the SQLDatabaseToolkit from the langchain_community package to interact with an SQLite database. 5-turbo", temperature=0) agent_executor = create_pandas_dataframe_agent(llm, df, agent_type="tool-calling", Jul 16, 2024 · About LangChain. In this notebook, an agent can query a Pandas DataFrame, figure out its columns, calculate average prices, count rows, and basically do the kind of data gymnastics you might otherwise perform manually. It enables developers to create sophisticated conversational agents that can understand and respond to user queries by dynamically generating SQL queries and other data manipulations. We can use the following command to install these libraries: ``` ``` . Details. g. The agent is a key component of Langchain. agent_types import AgentType from langchain. Apr 18, 2023 · Pandas Dataframe Agent# This notebook shows how to use agents to interact with a pandas dataframe. show(). 📄️ Pandas Dataframe. Setting up the agent is fairly straightforward as we're going to be using the create_pandas_dataframe_agent that comes with langchain. read_excel ("niftywtsjun24. 5-turbo", temperature = 0) agent_executor = create_pandas_dataframe_agent (llm, df, agent_type = "tool-calling", verbose = True) Aug 28, 2024 · create_pandas_dataframe_agent# langchain_experimental. It provides a unified interface to create agents based on different language models such as OpenAI. manager import Mar 24, 2024 · Regarding the pandas_dataframe_agent in the LangChain library, it is designed to facilitate operations on pandas DataFrame objects within the LangChain framework. Was this page helpful? Apr 19, 2023 · LangChain is a library that utilizes natural language processing and machine learning algorithms to create agents to answer questions from CSV data. This tool uses the pandaslibrary to manipulate the data and the ChatOpenAIagent to run the code. Here's a step-by-step guide based on the example provided in the function's documentation: Jul 1, 2024 · Learn how to query structured data with CSV Agents of LangChain and Pandas to get data insights with complete implementation. It reads the CSV file(s) from the provided path(s) into a DataFrame, and finally returns a pandas Feb 14, 2025 · Args: llm: Language model to use for the agent. For more details, you can refer to the source code of the create_pandas_dataframe_agent function in the LangChain codebase here. Please note that this is a simplified Mar 8, 2025 · Lemon Agent LinkupSearchTool Memorize Mojeek 搜索 MultiOn 工具包 NASA 工具包 Nuclia 理解 NVIDIA Riva: ASR 和 TTS Office365 工具包 OpenAPI 工具包 自然语言 API 工具包 OpenWeatherMap Oracle AI 向量搜索：生成摘要 Pandas Dataframe PubMed Apr 14, 2024 · `如何使用代理与pandas DataFrame进行交互`展示了如何使用LangChain Agent与pandas DataFrame进行交互。注意:这个代理在底层调用Python代理，Python代理执行LLM生成的Python代码——如果LLM生成的Python代码是有害的，可能会产生意外的结果，所以请谨慎使用。。 Nov 13, 2024 · For example, it could contain columns related to residential brands, pricing, or other pertinent data. I need the output in structured format to use it for It is fascinating to explore the concept of building a Data Analyst. Shell Agent. We will also provide a step-by-step guide on Natural Language Dataset Interaction: Chat in human language with Titanic, CarDekho, and Swiggy datasets for intuitive insights. We will create a PandasDataFrameAgent to interact with the data. pdf, etc. With Langchain’s automation capabilities, organizations can enhance Jun 14, 2023 · Changing the template and adding customzation in pandas_dataframe_agent of OpenAI(gpt-4 model) in langchain. tools is a dictionary where the keys are the names of the tools and the values are dictionaries that define the state of the tools. tools. Jul 30, 2024 · Photo by Hitesh Choudhary on Unsplash Building the Agent. py: Simple streaming app with langchain. kwargs: Additional kwargs to pass to langchain_experimental. I'm more than happy to help you while we wait for a human maintainer. prompt. base Pandas data manipulation tools for AI agents. Wikipedia PraisonAI Integration. Mar 6, 2024 · Secondly, based on the similar issues I found, it seems like there might be some confusion about how to use the create_pandas_dataframe_agent function. Please note that plt. code-block:: python from langchain_openai import ChatOpenAI from langchain_experimental. agent_toolkits module. read_csv("titanic. Construct a Pandas agent from an LLM and dataframe(s Sep 3, 2023 · This is where LangChain’s Pandas Agent comes into play. Dec 15, 2023 · 🤖. from langchain. Please note that the actual implementation of Oct 16, 2024 · Example Code. create_pandas_dataframe_agent(). You can use the create_pandas_dataframe_agent function to construct an agent that interacts with Pandas DataFrames. Dec 17, 2024 · Here’s a quick example of how we might do this with SQLite: For this reason, our code-execution utilities and constructors live in the langchain-experimental package. utilities import PythonREPL In the example below, we show how Jan 21, 2025 · Args: llm: Language model to use for the agent. We will also compare the agents to traditional query languages, provide real-world examples of how they have been used to improve the querying of tabular data and discuss potential future developments and applications. xlsx", sheet_name = "Jun24", Hi - I am using the langchain pandas dataframe agent. Use cautiously. This toolkit is used to interact with the browser. LangChain is a library that utilizes natural language processing and machine learning algorithms to create agents to answer questions from CSV data. 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. import boto3 import json import os import sys from langchain. In the given example, it is using vector store. 5-turbo", temperature=0) agent_executor = create_pandas_dataframe_agent(llm, df, agent_type="tool-calling", Saved searches Use saved searches to filter your results more quickly 1 day ago · You are working with a pandas dataframe in Python. For the pandas tool, the state is defined by the DataFrame, which is converted to a dictionary using the to_dict method. Agent. This is a ReAct agent which uses the PythonREPLTool. 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. Low Code Custom Tools. Hey @monkeydust!. For those who might not be familiar, an agent is is a software program that can access and use a large language model (LLM). 0. Mar 8, 2025 · agent. 3 days ago · Pandas Dataframe. Langchain is a Python library that provides a standardized interface to interact with LLMs. LLM applications (chat, QA) that utilize geospatial data are an interesting area for exploration. Skip to main content Join us at Interrupt: The Agent AI Conference by LangChain on May 13 & 14 in San Francisco! Dec 9, 2024 · Create a BaseTool from a Runnable. Aug 5, 2023 · Pandas: The well-known library for working with tabular data. EVM is a project management technique that measures progress by comparing the amount of work completed to the budget spent. The create_csv_agent() function will return an AgentExecutor instance that you can use in your chain. Knowledge Base: Create a knowledge base of "Stuff You Should Know" podcast This agent relies on access to a python repl tool which can execute arbitrary code. Jan 12, 2025 · csv-agent 这个模板使用一个csv代理，通过工具（Python REPL）和内存（vectorstore）与文本数据进行交互（问答）。 环境设置 设置OPENAI_API_KEY环境变量以访问OpenAI模型。 要设置环境，应该运行ingest. Return Feb 20, 2025 · Explore the integration of Pandas-ai with Langchain's realtime API for enhanced data processing and analysis. Mar 31, 2024 · With LangChain’s Pandas Agent, you can tap into the power of Large Language Models (LLMs) to navigate through data effortlessly. 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. 6 days ago · In this guide, we'll learn how to create a simple prompt template that provides the model with example inputs and outputs when generating. I should check its shape and content. For example, if you ask, ‘What are the key components of an AI agent?’, the retriever identifies and retrieves the most pertinent section from the indexed blog, ensuring precise and contextually relevant results. import pandas as pd from langchain. I created the agent like this agent = create_pandas_dataframe_agent( llm=llm, df=df, prefix=prefix, suffix=suffix, max_iterations=4, inp Dec 9, 2024 · Example:. When you create the react agent, you include the CSVAgent in the tools sequence. agents import load_tools from langchain. The create_csv_agent function is implied to be used in a SQL database approach. pandas_kwargs: Named arguments to pass to pd. agents import Tool from langchain_core. Based on my understanding, the issue is about a pandas dataframe agent in the Langchain library returning incorrect results even though the action input is correct. as_tool will instantiate a BaseTool with a name, description, and args_schema from a Runnable. 3 days ago · Pandas Dataframe Agent 这个笔记本展示了如何使用代理与pandas dataframe交互。它主要针对问题回答进行了优化。注意: 这个代理在底层调用了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。 Dec 20, 2023 · The create_csv_agent function in the langchain_experimental. agents import create_pandas_dataframe Sep 11, 2024 · Example #1: LangChain’s create_pandas_dataframe_agent In this example, we’re going to try a more advanced example that uses toolkits(a suit of tools) from LangChain to create a tool that can manipulate and analyze tabular data by actually running Python code. We will create an agent using LangChain’s capabilities, integrating the LLAMA 3 model from Ollama and utilizing the Tavily search tool Jan 17, 2025 · from langchain. 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. LangChain agents (the AgentExecutor in particular) have multiple configuration parameters. pandas DataFrame. python. ) If you're still facing issues, you could try using a different chain or agent. LangChain allows us to create agents that can perform a variety of tasks. NOTE: this agent calls the Jan 17, 2025 · Construct a Pandas agent from an LLM and dataframe (s). get_input_schema. The file extension determines the format in which the file will be saved. XML Agent. The Pandas Dataframe agent is designed to facilitate the interaction between language models and pandas dataframes. It just displays the answer and output variable says "as shown in the observation above". read_csv(). , by reading a CSV file), and then it is passed to the create_pandas_dataframe_agent function to create a new agent that can work with this dataframe . Pandas Agent. Jul 6, 2024 · Transitioning from LangChain to LangGraph. May 12, 2023 · In this blog, we will explore Langchain's Pandas Agent and CSV Agent, explaining how they work and their key features. Great to see you again and thanks for reaching out with your question! To incorporate a prompt template into the create_csv_agent function in the LangChain framework, you would need to modify the function to accept the prompt template as an argument. ; LangChain and Pandas Integration: Leverage the CSV and DataFrame agents for seamless data handling. agents. Then, you can use the format method of the PromptTemplate object to generate the May 17, 2023 · Setting up the agent I have included all the code for this project on my github. from langchain_openai import ChatOpenAI from langchain_experimental. API Reference: create_pandas_dataframe_agent. callbacks. PraisonAI Documentation home page. From what I understand, you encountered an exception with the message "I now know the final answer" when using the create_pandas_df_agent function in LangChain with the model "gpt-3. agent_toolkits. Jun 30, 2024 · import os from typing import List import cohere import langchain import langchain_core import langchain_experimental import pandas as pd from langchain. It is not meant to be a precise solution, but rather a starting point for your Jul 21, 2023 · You can load them via load_tools() from langchain. LangChain integration enables agents to: Use LangChain’s extensive tool ecosystem; Example Wrapper Usage. 350' is designed to create a CSV agent by loading the data into a pandas DataFrame and using a pandas agent. YFinance Agent. To effectively query data using the Pandas DataFrame Agent, you can leverage the capabilities of the create_pandas_dataframe_agent function from the langchain_experimental. | Restackio from langchain import LLMChain from pandasai import Agent import pandas as pd # Sample DataFrame sales_data = pd. ChatOpenAI (View the app); basic_memory. template = "Your custom prompt Jan 10, 2025 · Natural Language API Toolkits (NLAToolkits) permit LangChain Agents to efficiently plan and combine calls across endpoints. Very impressed with the new library for stateful implementations of agentic systems. show() is called, a new figure is created, and if plt. The create_csv_agent() function in the LangChain codebase is used to create a CSV agent by loading data into a pandas DataFrame Oct 24, 2024 · In this other example, we return a list of prices that are below the threshold by checking the condition. In Agents, a language model is used as a reasoning engine to determine which actions to take and in which order. You can think of an Jun 1, 2023 · 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 May 24, 2024 · In this example, the dataframe df is created by another agent (e. Load the data and create the Agent. Here is an example of how to use it: from Dec 16, 2024 · 文章浏览阅读1k次，点赞29次，收藏28次。上面，我们抛开了 LangChain，基于 OpenAI Python 程序库实现了一个 Agent，主要是为了让你更好地理解 Agent 的运作机理。其中最核心的部分就是一个循环，不断地执行各种动作，直到判断运行的结果是 3 days ago · kwargs (Any) – Additional kwargs to pass to langchain_experimental. prompts import ChatPromptTemplate, MessagesPlaceholder import pandas as pd df = pd. Nov 21, 2023 · 🤖. I wanted to let you know that we are marking this issue as stale. png, . tools import StructuredTool import pandas as 4 days ago · CAMEL Role-Playing Autonomous Cooperative Agents This is a langchain implementation of paper: "CAMEL: We can install pandas, numpy, matplotlib, and ta-lib for data analysis and trading. agents. Mar 8, 2025 · from langchain_openai import ChatOpenAI from langchain_experimental. In this notebook we will show how those parameters map to the LangGraph react agent executor using the create_react_agent prebuilt helper method. llms import AzureOpenAI llm = AzureOpenAI ( model = "gpt-35-turbo-16k" create_pandas_dataframe_agent( llm, df, verbose=True, allow_dangerous_code=True) Beta Was this translation helpful? Jan 11, 2025 · agents #. Specifically, there is a lot of knowledge about popular open-source libraries already present in the model weights 3 days ago · Here we focus on how to move from legacy LangChain agents to more flexible LangGraph agents. 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. 5k次，点赞10次，收藏18次。探索如何使用Langchain的Agent来高效查询表格数据的信息_langchain pandas 使用sm_ds_OAI. png' with the actual path where you want to save the file. Nov 8, 2023 · The create_pandas_dataframe_agent function in Langchain is designed to enable interaction with a Pandas DataFrame for question-answering tasks. Apr 25, 2024 · We explored how Langchain’s create_pandas_dataframe_agent can be employed to perform various data analysis tasks seamlessly. Nov 10, 2023 · The goal of this python app is to incorporate Azure OpenAI GPT4 with Langchain CSV and Pandas agents to allow a user to query the CSV and get answers in in text, linge graphs or bar charts. To illustrate this process, let’s consider the example of conducting a hypothesis test to compare Help needed to place memory inside langchain "create_pandas_dataframe_agent" with [AgentType as OpenAI. Wikipedia Agent. agent_toolkits module of LangChain version '0. openai import OpenAI from langchain. https://api. If you want to one step at a time, you can just call run_stream method of the AssistantAgent class directly. 17 安装phthon相关的依赖：pip install langchain Dec 26, 2024 · Nir’s repo includes a cool LangChain-based notebook called “ Data Analysis Simple Agent ”. 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 Jan 31, 2025 · Step 2: Retrieval. The pandas_agent. It uses the RoundRobinGroupChat to iterate the single agent over multiple steps. This approach Feb 10, 2025 · This repository contains reference implementations of various LangChain agents as Streamlit apps including: basic_streaming. To load the data, I’ve prepared a function that allows you to upload an Excel file from your local disk. py: Jan 16, 2025 · A Pandas DataFrame is a popular data structure in the Python programming language, commonly used for data manipulation and analysis. pandas. Configuring Azure OpenAI Creating the Pandas DataFrame Agent. 2, ' "Wins"': 97} Mar 9, 2024 · In this code, replace 'path/to/your/file. 9 hours ago · This example demonstrates how to use the SQLDatabaseToolkit from the langchain_community package to interact with an SQLite database. 前提条件 在本地环境中，我们已经完成了以下准备工作： 准备好代码编辑软件vscode，python版本为3. 5-turbo-0613" model, but users can choose GPT4 or Oct 14, 2024 · Example Code. NOTE: this agent calls the Jun 29, 2023 · 这个文档展示了如何使用代理与 pandas dataframe 进行交互。 主要用于问答。 注意：该代理在内部调用 Python 代理，执行由语言模型生成的 Python 代码 - 如果语言模型生 May 4, 2024 · langchain_pandas_agent is a project that leverages the capabilities of the LangChain library and OpenAI 3. python. I love it. 5-turbo", temperature = 0) agent_executor = (llm, df, To integrate the LangChain Pandas DataFrame Agent with Azure Container Apps for handling remote DataFrames, you can follow these steps: Fetch the Remote DataFrame: Use an API call to fetch the CSV data from the remote source and load it into a Pandas DataFrame within the Azure Container App session. df1 = pd. It creates either a This is a Jupyter Notebook which explains how to use LangChain and the Open AI API to create a PandasDataFrame Agent. The CSVAgent should be able to handle CSV-related tasks. Feb 14, 2025 · This notebook goes over how to load data from a xorbits. (the same scripts work well with gpt3. This notebook shows how to use agents to interact with a Pandas DataFrame. The create_pandas_dataframe_agent function constructs a Pandas agent from a language model and DataFrame(s), allowing for the execution of arbitrary code in a sandboxed environment . Python Agent. This can be dangerous and requires a specially sandboxed environment to be safely used. Where possible, schemas are inferred from runnable. langchain. However, behind the scenes, the agent goes through a series of intermediate steps to arrive at the final output. import contextlib Oct 31, 2023 · Please note that this is a simplified example and the actual implementation may vary depending on the specifics of your use case and the existing codebase. Somehow it is not returning the output in the output variable. After executing actions, the results can be fed back into the LLM to determine whether 4 days ago · CSV 代理 这个笔记本展示了如何使用代理与 csv 进行交互。主要优化了问答功能。注意: 这个代理在内部调用了 Pandas DataFrame 代理，而 Pandas DataFrame 代理又调用了 Python 代理，后者执行 LLM 生成的 Python 代码 - 如果 LLM 生成的 Python 代码有害的话，这可能会造成问题。 Dec 17, 2024 · When working with large datasets, efficiently querying data can make or break the usability of an application. Tool Sep 5, 2023 · However, there is no SQL Agent in the current version of LangChain. create_pandas_dataframe_agent. A few-shot prompt template can be constructed Aug 7, 2024 · To make this more concrete, let‘s walk through an example of using a pandas agent to analyze earned value management (EVM) data for a project. chat('Show me the top 3 countries by sales. 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. llm_chain. py脚本来处理向vectorstore中摄取。 使用方法 要 Nov 28, 2023 · In this example, the prefix includes the previous question and answer, followed by a newline character (\n). This 1 day ago · create_pandas_dataframe_agent. The create_pandas_dataframe_agent is a built-in agent that makes it easy to work with dataframes: Jan 10, 2025 · page_content='Nationals' metadata={' "Payroll (millions)"': 81. agent_toolkits import create_pandas_dataframe_agent API 参考： create_pandas_dataframe_agent 编辑此页面 此页面是否对您有所帮助？上一页 Outlines 下一页 Pebblo 安装和设置 文档加载器 工具包 社区 Feb 19, 2025 · Build an Agent. py: Aug 5, 2024 · Here’s a table summarizing the key differences between pandas_dataframe and csv_agent Math agent (llm-math) The integration of Large Language Models (LLMs) with math-solving capabilities opens Jul 19, 2024 · 文章浏览阅读1. agent. There are a few subtleties that I'd like Mar 5, 2025 · from langchain_experimental. OPENAI_FUNCTIONS) 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. YAML Agent. In Chains, a sequence of actions is hardcoded. () 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. 5 model, as shown in the context provided. 5-turbo". csg rfxm vmfd wyldnq vgki ohhcxxg etrqxp fieqw jhgf wrwbjzm gplfyrs vgw kjn deg whwyan