Left join

Unire i dati con pandas

Aaren Stubberfield

Instructor

Quick review

Inner join venn diagram

Left join

Left join venn diagram

Left join

Image of two tables merged with a left join

New dataset

Logo of the Movie DB

Collage of movie posters

Movies table

movies = pd.read_csv('tmdb_movies.csv')
print(movies.head())
print(movies.shape)

  id     original_title   popularity       release_date
0 257    Oliver Twist     20.415572        2005-09-23  
1 14290  Better Luck ...  3.877036         2002-01-12  
2 38365  Grown Ups        38.864027        2010-06-24  
3 9672   Infamous         3.6808959999...  2006-11-16  
4 12819  Alpha and Omega  12.300789        2010-09-17  
(4803, 4)

Tagline table

taglines = pd.read_csv('tmdb_taglines.csv')
print(taglines.head())
print(taglines.shape)

  id      tagline
0 19995   Enter the World of Pandora.
1 285     At the end of the world, the adventure begins.
2 206647  A Plan No One Escapes
3 49026   The Legend Ends
4 49529   Lost in our world, found in another.
(3955, 2)

Merge with left join

movies_taglines = movies.merge(taglines, on='id', how='left')
print(movies_taglines.head())

  id     original_title   popularity       release_date  tagline        
0 257    Oliver Twist     20.415572        2005-09-23    NaN            
1 14290  Better Luck ...  3.877036         2002-01-12    Never undere...
2 38365  Grown Ups        38.864027        2010-06-24    Boys will be...
3 9672   Infamous         3.6808959999...  2006-11-16    There's more...
4 12819  Alpha and Omega  12.300789        2010-09-17    A Pawsome 3D...

Number of rows returned

print(movies_taglines.shape)

(4805, 5)

Let's practice!

Unire i dati con pandas