How can I populate a pandas DataFrame with the result of a Snowflake sql query?

Question

Using the Python Connector I can query Snowflake:

import snowflake.connector

# Gets the version
ctx = snowflake.connector.connect(
    user=USER,
    password=P         


        

Answer 1

There is now a method .fetch_pandas.all() for this, no need for SQL Alchemy anymore.

Note that you need to install snowflake.connector for pandas by doing this

pip install snowflake-connector-python[pandas]

Full documentation here

import pandas as pd
import snowflake.connector

conn = snowflake.connector.connect(
            user="xxx",
            password="xxx",
            account="xxx",
            warehouse="xxx",
            database="MYDB",
            schema="MYSCHEMA"
            )

cur = conn.cursor()

# Execute a statement that will generate a result set.
sql = "select * from MYTABLE limit 10"
cur.execute(sql)
# Fetch the result set from the cursor and deliver it as the Pandas DataFrame.
df = cur.fetch_pandas_all()