Analyse and visualise statistics around movies and cinema.
Project description
cinestats 
Analyse and visualise statistics around movies and cinema.
Installation and requirements
Cinestats requires Python version 3.5 or higher.
You can install the cloned working copy using pip:
$ git clone https://github.com/atmtools/typhon.git
$ pip install cinestats
Testing
Tests can be run on the command line using pytest:
$ pytest --pyargs cinestats
Usage
Cinestats is build around the MovieDatabase class. It combines all
functionality to work on sets of movies.
import matplotlib.pyplot as plt
from cinestats import MovieDatabase
mdb = MovieDatabase.from_csv('cinestats/data/example.csv')
fig, ax = plt.subplots()
mdb.plot_marker()
plt.show()
CSV data format
Movie databases can be stored as CSV file. Currently, the two fields date and
movie are supported:
date,movie
2017-01-01,Shaun of the Dead
2017-01-03,World's End
2017-01-02,Hot Fuzz
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file cinestats-0.0.2.tar.gz.
File metadata
- Download URL: cinestats-0.0.2.tar.gz
- Upload date:
- Size: 17.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.44.0 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e0ffacba87d107d13b4f2ef771673abb161ba3a6543d45733d23e30a727bc23d
|
|
| MD5 |
fc8479bad82dbf61ff8fa3db2e631559
|
|
| BLAKE2b-256 |
4f13676c707bae0430b4f4a41e04cc05c46f17df579faf06743f0d2506a31370
|
File details
Details for the file cinestats-0.0.2-py3-none-any.whl.
File metadata
- Download URL: cinestats-0.0.2-py3-none-any.whl
- Upload date:
- Size: 17.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.44.0 CPython/3.8.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
056d4b2bed5d65ff249b9c9970c7f6f9b9f58dd0d11df41626ad97780a0c7cd6
|
|
| MD5 |
682ea22175ae523c5f224b04d1e2e34b
|
|
| BLAKE2b-256 |
0ed233e5c327f90e8976653663e07fa358836924c307711786f0919245d215d5
|