Ordering your SQL records with ORDER BY

You can also order your SQL query results. For example, if you wanted to get all records from the Customer table of the Chinook database and order them in increasing order by the column SupportRepId, you could do so with the following query:

"SELECT * FROM Customer ORDER BY SupportRepId"

In fact, you can order any SELECT statement by any column.

In this interactive exercise, you'll select all records of the Employee table and order them in increasing order by the column BirthDate.

Packages are already imported as follows:

import pandas as pd
from sqlalchemy import create_engine

Get querying!

This exercise is part of the course

Introduction to Importing Data in Python

View Course

Exercise instructions

Using the function create_engine(), create an engine for the SQLite database Chinook.sqlite and assign it to the variable engine.
In the context manager, execute the query that selects all records from the Employee table and orders them in increasing order by the column BirthDate. Assign the result to rs.
In a call to pd.DataFrame(), apply the method fetchall() to rs in order to fetch all records in rs. Store them in the DataFrame df.
Set the DataFrame's column names to the corresponding names of the table columns.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Create engine: engine


# Open engine in context manager
with engine.connect() as con:
    rs = ____
    df = ____

    # Set the DataFrame's column names


# Print head of DataFrame
print(df.head())

Edit and Run Code