Code Challenge 13 - Highest Rated Movie Directors

PyBites, Mon 03 April 2017, Challenges

codechallenges, data analysis, learning, movies, rating

There is nothing like a challenge to bring out the best in man. - Sean Connery

Hi Pythonistas, a new week, a new 'bite' of Python coding! After last week's tictactoe game, we'd like to sharpen your data analysis skills this week by parsing a movie data set in search for highest rated directors. Enjoy and we review solutions end of this week.


There is this great ML article Predict Movie Rating. In this week's code challenge we use its data set to get the 20 highest rated directors based on their average movie IMDB ratings.


It should look something like this (indeed some awesome movies here!):

$ python

01. Sergio Leone                                         8.5
1966] The Good, the Bad and the Ugly                     8.9
1968] Once Upon a Time in the West                       8.6
1984] Once Upon a Time in America                        8.4
1964] A Fistful of Dollars                               8.0

02. Christopher Nolan                                    8.4
2008] The Dark Knight                                    9.0
2010] Inception                                          8.8
2014] Interstellar                                       8.6
2012] The Dark Knight Rises                              8.5
2006] The Prestige                                       8.5
2000] Memento                                            8.5
2005] Batman Begins                                      8.3
2002] Insomnia                                           7.2

03. Hayao Miyazaki                                       8.2
2001] Spirited Away                                      8.6
1997] Princess Mononoke                                  8.4
2004] Howl's Moving Castle                               8.2
2008] Ponyo                                              7.7

04. Quentin Tarantino                                    8.2
1994] Pulp Fiction                                       8.9
2012] Django Unchained                                   8.5
1992] Reservoir Dogs                                     8.4
2009] Inglourious Basterds                               8.3
2003] Kill Bill: Vol. 1                                  8.1
2004] Kill Bill: Vol. 2                                  8.0
2015] The Hateful Eight                                  7.9
1997] Jackie Brown                                       7.5

16 more

We included a template but maybe you want to code this up from scratch and/or use your favorite power tools (Pandas, SQL, etc.)

We also included some tests.

Getting ready

See our INSTALL doc how to fork our challenges repo to get cracking. If you want to share your solution do a PR and we will add it to our community branch and link to it in our end-of-the-week review.


You can find all our code challenges so far here. If you have ideas for a future challenge or find any issues, please contact us or open a GH Issue.

Last but not least: there is no best solution, only learning more and better Python. Good luck!

Keep Calm and Code in Python!

-- Bob and Julian

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