渠道的列名为:entrance,计算2024年7月份通过'APP'渠道的总访客数 ') 输出如下所示: 2-3-4、CSV Agent 代码语言:python 代码运行次数:0 运行 AI代码解释 csv_agent=create_csv_agent(model,"app_traffic_by_source 2024-07-08 17_48_06(1).csv",allow_dangerous_code=True,verbose=True)csv_agent.run("...
csv_agent:处理CSV数据分析 python_repl:执行Python代码 requests:调用HTTP API 代码示例:调用维基百科工具 from langchain.agents import load_tools tools = load_tools(["wikipedia"]) agent = initialize_agent( tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION ) print(agent.run("爱因斯坦获得诺贝尔...
CSV基本用法 importosfrompathlibimportPathfromlangchain.document_loadersimportUnstructuredCSVLoaderfromlangchain.document_loaders.csv_loaderimportCSVLoaderEXAMPLE_DIRECTORY=file_path=Path(__file__).parent.parent/"examples"deftest_unstructured_csv_loader()->None:"""Test unstructured loader."""file_path=os....
由GPT / Embedding / TS / NextJS提供支持•DataChad[120]: 一个让您可以与任何数据源聊天的streamlit应用程序。支持使用GPT4All的OpenAI和本地模式•Second Brain AI Agent[121]: 一个streamlit应用程序,可以使用OpenAI和ChromaDB在本地自动对话您的第二大脑笔记...
Document(page_content='\ufeff订单ID: 329444\n订单金额: 234.5\n收货人姓名: 张三丰\n收货人电话: 1331112390\n收货地址: 北京市西城区\n图片: ', metadata={'source':'ordersample.csv','row': 5})] 3、文本分割 通常可以使用递归字符文本分割器对文档对象进行分割,可以设置分割块字符的大小,和重合字符大...
(code, module.__dict__) File "C:\UsersXXXmain.py", line 38, in <module> main() File "C:\Users\XXXX\XXXX\main.py", line 27, in main agent = create_csv_agent(llm, 'Data.csv') File "C:\Program Files\Python39\lib\site-packages\langchain_experimental\agents\agent_toolki...
fromlangchain.agentsimportcreate_spark_dataframe_agent df = spark.read.csv("/databricks-datasets/COVID/coronavirusdataset/Region.csv", header=True, inferSchema=True) display(df) agent = create_spark_dataframe_agent(llm=OpenAI(temperature=0), df=df, verbose=True) ... ...
Babyagiis a task-driven autonomous agent that uses LLMs to create, prioritize, and execute tasks. It is a general-purpose AI agent that can be used to automate a wide variety of tasks. Show usage Deploybabyagion Jina AI Cloud with one command ...
usefutures_util::StreamExt;asyncfnmain(){letpath ="./src/document_loaders/test_data/test.csv";letcolumns =vec!["name".to_string(),"age".to_string(),"city".to_string(),"country".to_string(),];letcsv_loader =CsvLoader::from_path(path,columns).expect("Failed to create csv loader"...
Also, notice in the preceding output for Document objects the metadata source is attached to. Using the package glob, you can easily find all of the .csv files and individually load these into LangChain Document objects with a CSVLoader. Finally, the two marketing reports are loaded from a ...