In this article, we show how to use a simple Python live code to query an SQLite database using Pandas into Constellab.

Input data

The input data is a SQLite db file with a table named demo

Live code

The following Python live code select the table demo and converts it to a Pandas DataFrame. This DataFrame is sent to the output the task and can be displayed in a table.

import sqlite3
import pandas as pd
from gws_core import Table
def load_table_into_dataframe(db_file, table_name):
    # Connect to the SQLite database
    conn = sqlite3.connect(db_file)
    
    # Create a pandas DataFrame by fetching the entire table from the database
    query = f"SELECT * FROM {table_name};"
    df = pd.read_sql_query(query, conn)
    
    # Close the database connection
    conn.close()
    
    return df
# The name of the table to select
table_name = 'demo'
# Load the table into a pandas DataFrame
df = load_table_into_dataframe(sources[0].path, table_name)
targets = [Table(df)]

Parameters

No parameters are used.

Results

This is the content of the selected table demo rendered as a table