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Filtering your INNER JOIN

Congrats on performing your first INNER JOIN! You're now going to finish this chapter with one final exercise in which you perform an INNER JOIN and filter the result using a WHERE clause.

Recall that to INNER JOIN the Orders and Customers tables from the Northwind database, Hugo executed the following SQL query:

"SELECT OrderID, CompanyName FROM Orders INNER JOIN Customers on Orders.CustomerID = Customers.CustomerID"

The following code has already been executed to import the necessary packages and to create the engine:

import pandas as pd
from sqlalchemy import create_engine
engine = create_engine('sqlite:///Chinook.sqlite')

This exercise is part of the course

Introduction to Importing Data in Python

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Exercise instructions

  • 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 PlaylistTrack INNER JOIN Track on PlaylistTrack.TrackId = Track.TrackId that satisfy the condition Milliseconds < 250000.

Hands-on interactive exercise

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

# Execute query and store records in DataFrame: df


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