---

name: processing-data description: Processes CSV files and pandas DataFrames. Use when working with CSV files, tabular data, spreadsheets, or when the user asks to query, analyze, or manipulate structured data.

Data Processing Tools

Tools for working with CSV files and pandas DataFrames.

CSV Operations

List available CSV files

Copyresult = await list_csv_files()
# Returns: {"success": True, "data": ["file1", "file2"], "count": 2}

Read CSV content

Copyresult = await read_csv_file("mydata", row_limit=100)
# Returns rows as list of dicts

Query with SQL (DuckDB)

Copyresult = await query_csv_file("mydata", "SELECT * FROM mydata WHERE value > 10")

Security: Only SELECT queries allowed. INSERT, UPDATE, DELETE rejected.

Add/remove CSV files

Copyawait add_csv_file("/path/to/file.csv")
await remove_csv_file("filename")

Pandas Operations

Create DataFrame

Copy# From CSV
result = await create_pandas_dataframe(
    dataframe_name="sales",
    create_using_function="read_csv",
    function_parameters={"filepath_or_buffer": "data.csv"}
)

# From dict
result = await create_pandas_dataframe(
    dataframe_name="mydf",
    create_using_function="DataFrame",
    function_parameters={"data": {"col1": [1, 2], "col2": [3, 4]}}
)

Allowed functions: DataFrame, read_csv, read_json, read_excel, read_parquet, read_feather, read_orc, read_html, read_xml, read_table, read_sql.

Run operations

Copy# Get first rows
result = await run_dataframe_operation("sales", "head", {"n": 5})

# Filter data
result = await run_dataframe_operation("sales", "query", {"expr": "amount > 100"})

# Get statistics
result = await run_dataframe_operation("sales", "describe", {})

Allowed operations: head, tail, describe, query, filter, groupby, sort_values, mean, sum, count, and 100+ more safe operations.

Export DataFrame

Copyresult = await export_dataframe(
    dataframe_name="sales",
    export_function="to_csv",
    export_parameters={"path_or_buf": "output.csv", "index": False}
)

Manage DataFrames

Copyawait list_dataframes()           # List all in memory
await get_dataframe_info("sales") # Get details
await delete_dataframe("sales")   # Remove from memory

Security Notes

• CSV queries: Only SELECT statements allowed
• Pandas: Operations restricted to allowlist of safe methods
• No arbitrary code execution via getattr