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https://github.com/purarue/maluservsaverage
generate a graph that shows correlation between the user and average score on MyAnimeList
https://github.com/purarue/maluservsaverage
anime correlation graphs jikan myanimelist
Last synced: 6 days ago
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generate a graph that shows correlation between the user and average score on MyAnimeList
- Host: GitHub
- URL: https://github.com/purarue/maluservsaverage
- Owner: purarue
- License: unlicense
- Created: 2020-09-27T21:15:44.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2020-09-27T21:15:57.000Z (about 4 years ago)
- Last Synced: 2024-11-01T14:43:43.657Z (about 2 months ago)
- Topics: anime, correlation, graphs, jikan, myanimelist
- Language: Python
- Homepage:
- Size: 96.7 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# MAL User vs Average
Uses [graph.anime.plus](https://graph.anime.plus/) to generate a graph that shows correlation between the user and average score on [MyAnimeList](https://myanimelist.net/). Each blip on the graphs' x-coordinate is your score, and y-coordinate is the weighted MAL score. There is no grand takeaway from this, its just fun to look at.
Since the MAL API has been down for a while, this uses [graph.anime.plus](https://graph.anime.plus/) to get data from users [MyAnimeList](https://myanimelist.net/) account.
graph.anime.plus does not list scores for MAL entries under 50 members; [Jikan](https://jikan.moe/) is used to get MAL scores for those.
### Installation
1) Submit a MAL Username to [graph.anime.plus](https://graph.anime.plus/), and wait for them to finish processing it.
2) `git clone https://github.com/purplepinapples/MALUserVsAverage`
3) `pip3 install --user numpy matplotlib scipy bs4`
4) Run! A basic execution would be `python3 run.py --username --anime --graph`, or any of the following for different results:
Create a graph; only plot anime the user has completed:
`python3 run.py -u USERNAME --anime --graph --filter C`
Create a graph; only take into account MAL scores cached locally in the last day:
`python3 run.py -u USERNAME --anime --graph --cache-decay-time 1`
Create a graph; plot the users *manga* and include their username in the Graph's title:
`python3 run.py -u USERNAME --manga --graph --display-name`
Generate a CSV file of all anime the user has scored, ordered `MAL ID, Status, User Rating, Mal Rating`:
`python3 run.py -u USERNAME --anime --csv`
Tested in python versions `3.6.5` and `3.7.1`.
```
usage: python3 run.py [-h] -u USERNAME (-a | -m)
[--cache-decay-time CACHE_DECAY_TIME] [-w WAIT_TIME]
[-f FILTER] [-c] [-g] [-d]
Create user vs average MAL Score correlation graphs.
required arguments:
-u USERNAME, --username USERNAME The MAL User for who the list/graph
should be generated.
-a, --anime Create a graph/csv file for this users
anime.
-m, --manga Create a graph/csv file for this users
manga.
optional arguments:
-h, --help show this help message and exit
--cache-decay-time CACHE_DECAY_TIME Number of days scores should stay in
cache before they are refresed. If not
provided, uses 2 weeks.
-w WAIT_TIME, --wait-time WAIT_TIME Wait time between (manual; non-API)
scrape requests. Default and recommended
is 5 (seconds).
-f FILTER, --filter FILTER Filter by Status,
e.g. '-f WC' would filter so output
contained only Watching and Completed.
W: Currently Watching
C: Completed
O: On-Hold
D: Dropped
P: Plan to Watch
(optional) output options (Generates both if nothing specified):
-c, --csv Output a CSV File.
-g, --graph Output a graph.
-d, --display-name Display the username on the graph.
```