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  3. Introduction to Importing Data in Python

Exercise

Pandas and The Hello World of SQL Queries!

Here, you'll take advantage of the power of pandas to write the results of your SQL query to a DataFrame in one swift line of Python code!

You'll first import pandas and create the SQLite 'Chinook.sqlite' engine. Then you'll query the database to select all records from the Album table.

Recall that to select all records from the Orders table in the Northwind database, Hugo executed the following command:

df = pd.read_sql_query("SELECT * FROM Orders", engine)

Instructions

100 XP
  • Import the pandas package using the alias pd.
  • Using the function create_engine(), create an engine for the SQLite database Chinook.sqlite and assign it to the variable engine.
  • Use the pandas function read_sql_query() to assign to the variable df the DataFrame of results from the following query: select all records from the table Album.
  • The remainder of the code is included to confirm that the DataFrame created by this method is equal to that created by the previous method that you learned.