Rocket League Boxcars-Replay Analyzer
Project description
Rocket League Boxcars-Replay Analyzer
Features
- Replay and analyze Rocket League Boxcars replays (you can use rrrocket or boxcars-py to parse a
.replay-file into a useable.json-file) - Extract general info
- game playlist (
casual_duel,ranked_double, ...) - date and time
- replay-name and unique replay-id
- map-name
- game playlist (
- Extract info about players
- name, scores, goals, saves, assists, shots
- platform (
Steam,PlayStation,PsyNet, andXbox) and unique platform_id - MMR, if available (using BakkesMod)
- title
- ping (including min, max, and average)
- Extract info about goals
- when, where, who
- ball speed (in km/h)
- Extract some debug stuff like
- complete history of player and ball positions
- complete history of some more abstract values (see
stats['debug'])
- And more. Feel free to explore it!
Installation
Run the following to install:
pip install rockalyzer
Usage
Make sure you parsed the replay to a json file first using one of the tools mentioned above.
from rockalyzer import Replayer
# load replay as JSON file and set render mode
replayer = Replayer('path/to/replay.json', render=True)
# print header infos
replayer.print_header_info()
# replay file
stats = replayer.replay()
Simple render
If you set render=True when creating the Replayer-object, you get a simple (almost real-time) render of the game using matplotlib
Build and upload package to PyPi
python ./setup bdist_wheel sdist
python -m twine upload dist/*
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
rockalyzer-0.1.0.tar.gz
(22.6 kB
view details)
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 rockalyzer-0.1.0.tar.gz.
File metadata
- Download URL: rockalyzer-0.1.0.tar.gz
- Upload date:
- Size: 22.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1e89700bc19e7c36f077723a8a611ec39e497cceecf2195a2a171c78caf03544
|
|
| MD5 |
d5cfb4af333539137ce7001f5e43c828
|
|
| BLAKE2b-256 |
0db6b947debf458102f5dac475966d4ea3c64acda324b3f295251fed433b999f
|
File details
Details for the file rockalyzer-0.1.0-py3-none-any.whl.
File metadata
- Download URL: rockalyzer-0.1.0-py3-none-any.whl
- Upload date:
- Size: 27.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d733270ca2bcab8ccecbbf5029131c2cdcb180b1a2221406dda804c6e0207237
|
|
| MD5 |
7fc75de250bcae23d7f3f53e8353539c
|
|
| BLAKE2b-256 |
8aaeebb992036b4f32be6ef79368bd38c8e398eb4510843eda7082f51f37c0d6
|