将statsbomb json数据解析为csv的python包
statsbomb的Python项目详细描述
statsbomb json解析器
将StatsBomb发布的竞赛/比赛/阵容/赛事json数据转换为易于使用的csv格式。
可以找到这个包的一个简单的web界面here。
安装
$ pip install statsbomb
示例用法
- 正在分析
competitions.json文件：
importstatsbombassbcomps=sb.Competitions()print(len(comps))# 3json_data=comps.data# underlying json datadf=comps.get_dataframe()print(df)
| competition_id | competition_name | country_name | match_available | match_updated | season_id | season_name |
|---|---|---|---|---|---|---|
| 37 | FA Women's Super League | England | 2018-09-08T07:33:39.356340 | 2018-09-08T07:33:39.356340 | 1 | 2017/2018 |
| 43 | FIFA World Cup | International | 2018-09-08T07:33:39.356340 | 2018-09-08T14:30:04.356514 | 3 | 2018 |
| 49 | NWSL | United States of America | 2018-09-08T07:33:39.356340 | 2018-09-08T07:33:39.356340 | 3 | 2018 |
- 分析匹配的json文件：
importstatsbombassbmatches=sb.Matches(event_id='11',season_id='37')df=matches.get_dataframe()print(len(df))# 7
- 分析事件json文件以提取快照：
importstatsbombassbevents=sb.Events(event_id='8658')df=events.get_dataframe(event_type='shot')print(len(df))# 23print(df)
| event_type | id | index | period | timestamp | minute | second | possession | possession_team | play_pattern | off_camera | team | player | position | duration | under_pressure | statsbomb_xg | key_pass_id | body_part | type | outcome | technique | first_time | follows_dribble | redirect | one_on_one | open_goal | deflected | start_location_x | start_location_y | end_location_x | end_location_y | end_location_z |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| shot | c3ffbb5f-d836-4d33-a02a-3a994990d253 | 577 | 1 | 00:20:51.227 | 20 | 51 | 39 | Croatia | From Free Kick | False | Croatia | Domagoj Vida | Left Center Back | 1.013 | 0.05478843 | baafd0a9-1031-46df-82a2-16538d6e94cf | Head | Open Play | Off T | Normal | 112.0 | 49.0 | 119.0 | 36.7 | 4.7 | |||||||
| shot | d7a727de-1b60-47c7-b9fa-10948bb730ed | 634 | 1 | 00:23:34.907 | 23 | 34 | 45 | Croatia | From Free Kick | False | Croatia | Ivan Rakitić | Left Center Midfield | 2.053 | 0.04375982 | 9cc48e31-5a52-4074-97b1-5c3eafdd753d | Left Foot | Open Play | Off T | Volley | 108.0 | 29.0 | 120.0 | 46.9 | 6.1 | |||||||
| shot | 20bcdb94-9507-4bed-8315-edddcbb84081 | 736 | 1 | 00:27:53.880 | 27 | 53 | 53 | Croatia | From Free Kick | False | Croatia | Ivan Perišić | Left Wing | 0.587 | 0.12172278 | 90fdf286-3e32-4646-bcb1-a83a7d51593f | Left Foot | Open Play | Goal | Half Volley | True | True | 105.0 | 32.0 | 120.0 | 43.3 | 0.7 | |||||
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
- 将数据保存到csv:
importstatsbombassbevents=sb.Events(event_id='8658')events.save_data(event_type='shot')# outputs a file named events_8658_shot.csv
贡献
复制回购：
git clone https://github.com/imrankhan17/statsbomb-parser.git
cd statsbomb-parser
创建虚拟环境：
python -m venv env
source env/bin/activate
pip install -r requirements.txt
或使用Docker:
docker build -t statsbomb-parser .
要在本地运行ci管道，请在.travis.yml文件的script部分执行命令。或使用Docker:
docker run -it --rm -v $(pwd):/home -w /home statsbomb-parser python -m pycodestyle --max-line-length=119 statsbomb tests *.py docker run -it --rm -v $(pwd):/home -w /home statsbomb-parser python -m pylint statsbomb tests *.py docker run -it --rm -v $(pwd):/home -w /home statsbomb-parser python -m pytest --disable-pytest-warnings --cov=statsbomb --cov-report=html --durations=5 tests/
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