MovieKit is a python package that includes the class MovieDiary to store the movies you've watched in a pandas dataframe and in a csv-file. Furthermore, it includes information about this movie like a personal evaluation, where you've watched it and the category (e.g. cinema, netflix, etc.).
Import the class:
from MovieKit import MovieDiaryInstantiate an object and create diary:
diary = MovieDiary()
diary.create_diary()Add a movie:
diary.add_movie('Interstellar', 'At home', 'Blu Ray', 96)
diary.add_movie('Inglourious Basterds', 'At home', 'DVD', 92)Take a look at the movies you watched over time and your rating:
diary.plot_top_movies_time()MovieKit requires the following python libraries: matplotlib, pandas, seaborn.
The class MovieDiary has currently the following methods:
create_diary: Create an empty dataframe as movie diary as well as en empty csv file.add_movie: Add a movie to an existing dataframe and csv file and provide detail information (location, category, evaluation).delete_diary: Delete the existing csv-file. Not recommended.plot_top_movies_time: Create a Seaborn Scatterplot with the 30 most watched movies over time. The category and the evaulation are also included in the scatterplot as hue and bubble-size.
The following methods are planned:
import_diary: To import csv files in the movie diary.- More plots and statistics.
Maximilian Müller, Business Development Manager in the Renewable Energy sector. Now diving into the field of data analysis.
- GitHub: https://github.com/muellermax
- LinkedIn: https://www.linkedin.com/in/maximilian-m%C3%BCller-92106067/
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Copyright 2020 Maximilian Müller
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