Input: len(df1[df1['Age'] != df2['Age']])    Observation: 177    Thought: I now know the final answer    Final Answer: 177 rows in the age column are different.        > Finished chain.    '177 rows in the age column are different.'PreviousNatural Language APIsNextPlayWright BrowserUsing ZERO_SHOT_REACT_DESCRIPTIONUsing OpenAI FunctionsMulti DataFrame ExampleCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.
This notebook shows how to use agents to interact with a Pandas DataFrame. It is mostly optimized for question answering.
This notebook shows how to use agents to interact with a Pandas DataFrame. It is mostly optimized for question answering. ->: Input: len(df1[df1['Age'] != df2['Age']])    Observation: 177    Thought: I now know the final answer    Final Answer: 177 rows in the age column are different.        > Finished chain.    '177 rows in the age column are different.'PreviousNatural Language APIsNextPlayWright BrowserUsing ZERO_SHOT_REACT_DESCRIPTIONUsing OpenAI FunctionsMulti DataFrame ExampleCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright ¬© 2023 LangChain, Inc.