create_pandas_dataframe_agent to load all rows

[Raghulkannan14]

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Example Code

agent = create_pandas_dataframe_agent(llm, df, verbose=True,agent_type=AgentType.OPENAI_FUNCTIONS)

Description

How to load all the rows to the agent for getting answer, It only uses first 5rows to anwer.

System Info

Error

[dosubot[bot]]

Hey there, @Raghulkannan14! Great to see you diving into another issue. How have you been since our last interaction?

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.

This behavior is due to the number_of_head_rows parameter in the create_pandas_dataframe_agent function. By default, this parameter is set to 5, which means only the first 5 rows of the dataframe are included in the prompt.

To load all rows from your dataframe, you need to set number_of_head_rows to a value that equals or exceeds the total number of rows in your dataframe. You can use df.shape[0] to get the total number of rows in your dataframe. Here's an example of how you can modify your code:

from langchain_openai import ChatOpenAI
from langchain_experimental.agents import create_pandas_dataframe_agent
import pandas as pd

df = pd.read_csv("your_data.csv")
llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0)
agent_executor = create_pandas_dataframe_agent(
    llm,
    df,
    agent_type="openai-tools",
    verbose=True,
    number_of_head_rows=df.shape[0]  # Set this to the total number of rows in df
)

This modification should ensure that the entire dataframe is considered when the agent is generating responses, rather than just the first 5 rows.

For more information, you can refer to the LangChain repository where the create_pandas_dataframe_agent function is defined.

I hope this helps! If you have any other questions or need further clarification, feel free to ask.

Sources

• Csv_agent only takes the first 5rows
• libs/experimental/langchain_experimental/agents/agent_toolkits/pandas/base.py

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[Raghulkannan14]

But the result is not accurate, how to get the accurate result

[blithechan-kpmg]

I got the same issue with the dataframe agent not responding using all data rows.

Any actual solution on this issue?

[shailender1]

Any solution to this problem?

[utkucanaytac]

any solution ?

[CrasCris]

The only solution i got is using in number_of_head_rows=max_rows_df_arrys, but that increase the number of promt tokens

[johanndt]

It's because it injects the first 5 rows into the prompt and sometimes the LLM will assume that's all the data. I've had success with adding this to my prompt:

Note that the included dataframes are only the first 5 rows from running df.head(5).
To get accurate information you ALWAYS have to run python operations on the full pandas
dataframe, eg df or df1. Do NOT assume that the preview data is all the available data.