@Marvin give me an example of querying Snowflake and returning the results as a dataframe

Great, it looks like you're interested in querying Snowflake and returning the results as a pandas DataFrame using Prefect. Here’s a comprehensive example that covers this using Prefect 2.x. First, ensure you have the necessary packages installed:

bash
pip install prefect pandas snowflake-connector-python

Here's a sample Prefect flow to query Snowflake and return the results as a DataFrame:

python
import pandas as pd
from prefect import flow, task
from prefect_snowflake.database import SnowflakeConnector
from snowflake.connector.pandas_tools import write_pandas

@task
def fetch_data_as_dataframe(snowflake_conn_info: dict, query: str) -> pd.DataFrame:
    with SnowflakeConnector(**snowflake_conn_info) as connector:
        df = connector.fetch_as_dataframe(query)
    return df

@flow
def snowflake_to_dataframe_flow():
    snowflake_conn_info = {
        "user": "YOUR_USER",
        "password": "YOUR_PASSWORD",
        "account": "YOUR_ACCOUNT",
        "warehouse": "YOUR_WAREHOUSE",
        "database": "YOUR_DATABASE",
        "schema": "YOUR_SCHEMA"
    }

    query = "SELECT * FROM your_table"
    df = fetch_data_as_dataframe(snowflake_conn_info, query)
    print(df)

if __name__ == "__main__":
    snowflake_to_dataframe_flow()

Replace the placeholder values in

snowflake_conn_info

with your actual Snowflake connection details and specify your query. This sample demonstrates how to fetch data from Snowflake and return it as a pandas DataFrame within a Prefect flow. For more details, refer to the Prefect 2.x Snowflake integration documentation: https://docs-2.prefect.io/latest/integrations/prefect-snowflake/ If you need help with anything else or face any issues, feel free to ask!