https://github.com/vprusso/south_park_data
Software corresponding to the blog post
https://github.com/vprusso/south_park_data
Last synced: 7 months ago
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Software corresponding to the blog post
- Host: GitHub
- URL: https://github.com/vprusso/south_park_data
- Owner: vprusso
- License: mit
- Created: 2017-03-24T19:33:37.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2017-03-26T21:27:41.000Z (over 8 years ago)
- Last Synced: 2025-01-28T20:42:11.473Z (9 months ago)
- Language: Python
- Homepage: http://vprusso.github.io/blog/2017/data-driven-south-park/
- Size: 2.39 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# south_park_data
Python scripts for the corresponding blog post: http://vprusso.github.io/blog/2017/data-driven-south-park/
## Overview
This repository consists of 70,000 lines of dialog extracted from "South Park" (courtesy of Ksenia Sukhova over at Kaggle) as well as two Python scripts:
1. south_park_analyze.py
A number of functions to determine how often a given word or series of words is used by specific character given a set of seasons / episodes.
2. south_park_plots.py
All of the plots generated in the [blog post](http://vprusso.github.io/blog/2017/data-driven-south-park/) may be replicated by this file.
## Usage
Example usage of `south_park_analyze.py` is shown at the bottom of the file. Uncommenting the following line:
# Question: How many times is the word “dude” said in all of the seasons 1 to 18:
#print ( word_count_by_season_and_episode(df, word="dude") )
will print out how many times the word "dude" is said in "South Park" for seasons 1 through 18. More example usage can be found on the corresponding [blog post](http://vprusso.github.io/blog/2017/data-driven-south-park/).
Example usage of `south_park_plots.py` is shown at the bottom of the file. Uncommenting the following line:
# plot_swear_count_season_frequency()
will generate the following plot
For more information, consult the [blog post](http://vprusso.github.io/blog/2017/data-driven-south-park/).
## Dependencies
1. [Python 3](https://www.python.org/),
2. [pandas](http://pandas.pydata.org/),
3. [nltk](http://www.nltk.org/).