diff --git a/.github/workflows/build.yaml b/.github/workflows/build.yaml index f81d6aff..a558a897 100644 --- a/.github/workflows/build.yaml +++ b/.github/workflows/build.yaml @@ -15,8 +15,8 @@ jobs: fail-fast: false matrix: os: [ubuntu-latest, windows-latest] - python-version: [3.8, 3.9, '3.10'] - poetry-version: [1.1.11] + python-version: ['3.10', '3.11', '3.12'] + poetry-version: [1.8.3] env: MPLBACKEND: Agg # https://github.com/microsoft/azure-pipelines-tasks/issues/16426 diff --git a/.github/workflows/linting.yaml b/.github/workflows/linting.yaml index 1afe18e5..b9da593a 100644 --- a/.github/workflows/linting.yaml +++ b/.github/workflows/linting.yaml @@ -14,10 +14,10 @@ jobs: - name: Check out source repository uses: actions/checkout@v2 - - name: Set up Python 3.8 + - name: Set up Python 3.10 uses: actions/setup-python@v1 with: - python-version: "3.8" + python-version: "3.10" - name: flake8 Lint uses: py-actions/flake8@v1 diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 8b39d683..a115a9dd 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -3,24 +3,24 @@ default_stages: [commit] repos: - repo: https://github.com/pre-commit/pre-commit-hooks - rev: v4.0.1 + rev: v4.6.0 hooks: - id: trailing-whitespace - id: end-of-file-fixer - id: check-yaml - id: check-added-large-files - repo: https://github.com/psf/black - rev: 21.9b0 + rev: 24.8.0 hooks: - id: black language_version: python3 - repo: https://github.com/pycqa/flake8 - rev: 3.9.2 + rev: 7.1.1 hooks: - id: flake8 args: [--max-line-length=88] - repo: https://github.com/commitizen-tools/commitizen - rev: v2.20.0 + rev: v3.29.0 hooks: - id: commitizen stages: [commit-msg] diff --git a/CHANGELOG.md b/CHANGELOG.md index 03c1b80c..c36e4610 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,9 +1,12 @@ # Changelog -## 0.4.0 (2023-02-03) +## 0.5.0 (2024-09-10) #### New Features +* parser skillcorner open dataset ([#143](https://github.com/floodlight-sports/floodlight/issues/143)) +* add IDSSE dataset ([#147](https://github.com/floodlight-sports/floodlight/issues/147)) +* add delimiter option ([#149](https://github.com/floodlight-sports/floodlight/issues/149)) * add discretized voronoi model ([#124](https://github.com/floodlight-sports/floodlight/issues/124)) * add parser for metadata and teamsheets in json format ([#113](https://github.com/floodlight-sports/floodlight/issues/113)) * integrate teamsheet logic to tracab parser ([#112](https://github.com/floodlight-sports/floodlight/issues/112)) @@ -33,6 +36,11 @@ * streamline IO function names ([#115](https://github.com/floodlight-sports/floodlight/issues/115)) #### Docs +* update readme +* update and fix docs +* fix poetry install command ([#133](https://github.com/floodlight-sports/floodlight/issues/133)) +* update changelog +* update docs build * fix butterworth cutoff freq doc ([#94](https://github.com/floodlight-sports/floodlight/issues/94)) * update tutorial matchsheets ([#95](https://github.com/floodlight-sports/floodlight/issues/95)) * update changelog @@ -43,6 +51,8 @@ * add paper reference #### Others +* refresh package build ([#148](https://github.com/floodlight-sports/floodlight/issues/148)) +* bump version * bump version * add dependency pytest-cov * add dependency coverage @@ -54,7 +64,7 @@ * update module init * update columns in tests -Full set of changes: [`0.3.1...0.4.0`](https://github.com/floodlight-sports/floodlight/compare/0.3.1...0.4.0) +Full set of changes: [`0.3.1...0.5.0`](https://github.com/floodlight-sports/floodlight/compare/0.3.1...0.5.0) ## 0.3.1 (2022-06-06) @@ -112,9 +122,6 @@ Full set of changes: [`0.3.0...0.3.1`](https://github.com/floodlight-sports/floo #### New Features * add butterworth and savgol lowpass filter ([#51](https://github.com/floodlight-sports/floodlight/issues/51)) -* add data transformation for eigd dataset -* add statsperform parser - standard format ([#41](https://github.com/floodlight-sports/floodlight/issues/41)) -* add statsbomb open data parser and dataset ([#59](https://github.com/floodlight-sports/floodlight/issues/59)) * adds xy plotting methods with tests and docs ([#61](https://github.com/floodlight-sports/floodlight/issues/61)) * add pitch.plot method for football and handball ([#44](https://github.com/floodlight-sports/floodlight/issues/44)) * add vis module @@ -122,7 +129,6 @@ Full set of changes: [`0.3.0...0.3.1`](https://github.com/floodlight-sports/floo * add metabolic power model ([#48](https://github.com/floodlight-sports/floodlight/issues/48)) * add require_fit decorator * add kinematics module - distance, velocity, acceleration models ([#45](https://github.com/floodlight-sports/floodlight/issues/45)) -* create io eigd dataset ([#55](https://github.com/floodlight-sports/floodlight/issues/55)) * add is_fitted property * add centroid-based model and measures * add base-, team-, and dyadic properties @@ -134,6 +140,10 @@ Full set of changes: [`0.3.0...0.3.1`](https://github.com/floodlight-sports/floo * add comparison dunder methods * add models module * add playerproperty class +* add data transformation for eigd dataset +* add statsperform parser - standard format ([#41](https://github.com/floodlight-sports/floodlight/issues/41)) +* add statsbomb open data parser and dataset ([#59](https://github.com/floodlight-sports/floodlight/issues/59)) +* create io eigd dataset ([#55](https://github.com/floodlight-sports/floodlight/issues/55)) #### Fixes * broken link @@ -144,18 +154,18 @@ Full set of changes: [`0.3.0...0.3.1`](https://github.com/floodlight-sports/floo * broken link * dfl events parser warnings, statsperform xID ([#66](https://github.com/floodlight-sports/floodlight/issues/66)) * minor fixes ([#65](https://github.com/floodlight-sports/floodlight/issues/65)) +* typo +* typo * xID indexing for dfl parser * xID indexing for tracab parser * extracting of zip with temorary file ([#58](https://github.com/floodlight-sports/floodlight/issues/58)) -* typo -* typo * dfl parser xml element access and memory release ([#52](https://github.com/floodlight-sports/floodlight/issues/52)) #### Refactorings * refactor get and convert as general function -* sample_data.py -> ToyDataset() ([#57](https://github.com/floodlight-sports/floodlight/issues/57)) * change axis arguments from {0, 1} to {'x', 'y'} * colum checks return empty lists instead of None +* sample_data.py -> ToyDataset() ([#57](https://github.com/floodlight-sports/floodlight/issues/57)) #### Docs * update changelog @@ -163,10 +173,10 @@ Full set of changes: [`0.3.0...0.3.1`](https://github.com/floodlight-sports/floo * add transforms module reference page * add models module referene page * add vis submodule +* add property module reference * add io module reference page * correct xID indexing documentation * include datasets in docs -* add property module reference #### Others * release 0.3.0 @@ -180,8 +190,6 @@ Full set of changes: [`0.3.0...0.3.1`](https://github.com/floodlight-sports/floo * update templates * explicitly loop through players * docstrings and errors -* add tests for dataset templates -* add test for eigd transform * add tests for geometry model * add test for require fit decorator * add tests for base model @@ -191,6 +199,8 @@ Full set of changes: [`0.3.0...0.3.1`](https://github.com/floodlight-sports/floo * add tests for is_metrical property * add tests for find_sequences method * add tests for dunder methods +* add tests for dataset templates +* add test for eigd transform Full set of changes: [`0.2.1...0.3.0`](https://github.com/floodlight-sports/floodlight/compare/0.2.1...0.3.0) diff --git a/README.md b/README.md index 5109908a..02308dbb 100644 --- a/README.md +++ b/README.md @@ -100,7 +100,7 @@ and if you want to add more just open an issue! - Tracking data - Event data - Pitch information -- Teamsheets with player information (*new*) +- Teamsheets with player information - Codes such as ball possession information - Properties such as distances or advanced computations @@ -110,14 +110,16 @@ and if you want to add more just open an issue! - **DFL/STS**: Tracking data, Event data, Teamsheets, Codes - **Kinexon**: Tracking data - **Opta**: Event data (F24 feeds) -- **Second Spectrum**: Tracking data, Event data (*new*) -- **Sportradar**: Event data (*new*) +- **Second Spectrum**: Tracking data, Event data +- **Skillcorner**: Tracking data from the Skillcorner Open Dataset (*new*) +- **Sportradar**: Event data - **StatsPerform**: Tracking data, Event data (with URL access) - **StatsBomb**: Event data #### Datasets - EIGD-H (Handball tracking data) +- IDSSE (Football tracking and event data) (*new*) - StatsBomb OpenData (Football event data) #### Manipulation and Plotting @@ -133,7 +135,7 @@ and if you want to add more just open an issue! - Centroids - Distances, Velocities & Accelerations - Metabolic Power & Equivalent Distances -- Voronoi Space Control (*new*) +- Voronoi Space Control ### Installation diff --git a/docs/requirements.txt b/docs/requirements.txt index 51ca639c..834cf1f3 100644 --- a/docs/requirements.txt +++ b/docs/requirements.txt @@ -1,3 +1,3 @@ -sphinx==4.2.0 -sphinx-rtd-theme==1.0.0 -sphinx-autodoc-typehints==1.12.0 +sphinx==7.4.7 +sphinx-rtd-theme==2.0.0 +sphinx-autodoc-typehints==2.3.0 diff --git a/docs/source/conf.py b/docs/source/conf.py index 1225ac88..3e87a35b 100644 --- a/docs/source/conf.py +++ b/docs/source/conf.py @@ -2,19 +2,20 @@ import os import sys -from floodlight import __version__ - # -- Path setup -------------------------------------------------------------- -sys.path.insert(0, os.path.abspath("..")) +sys.path.insert(0, os.path.abspath("../..")) + +import floodlight # noqa: 402 # -- Project information ----------------------------------------------------- project = "floodlight" +version = floodlight.__version__ year = datetime.datetime.now().year author = "Dominik Raabe" copyright = f"{year}, {author}" -release = f"{__version__}" +release = f"v{version}" # -- General configuration --------------------------------------------------- diff --git a/docs/source/guides/contrib_manual.rst b/docs/source/guides/contrib_manual.rst index d3c81b19..41bd3abe 100644 --- a/docs/source/guides/contrib_manual.rst +++ b/docs/source/guides/contrib_manual.rst @@ -45,7 +45,7 @@ Poetry requires a system-wide installation that's different on Windows and MacOS .. code-block:: shell - (Invoke-WebRequest -Uri https://raw.githubusercontent.com/python-poetry/poetry/master/install-poetry.py -UseBasicParsing).Content | python - + (Invoke-WebRequest -Uri https://install.python-poetry.org -UseBasicParsing).Content | py - 3. The installer will tell you the path of the installed executable. Add the path to your system ``PATH`` if that's not done automatically. diff --git a/docs/source/modules/io/io.rst b/docs/source/modules/io/io.rst index dad8b47d..b46616fe 100644 --- a/docs/source/modules/io/io.rst +++ b/docs/source/modules/io/io.rst @@ -13,6 +13,7 @@ Collection of file parsing functionalities for different data providers as well kinexon opta secondspectrum + skillcorner sportradar statsbomb statsperform @@ -27,6 +28,7 @@ Collection of file parsing functionalities for different data providers as well :nosignatures: EIGDDataset + IDSSEDataset StatsBombOpenDataset ToyDataset @@ -71,6 +73,14 @@ Collection of file parsing functionalities for different data providers as well read_event_data_jsonl read_teamsheets_from_meta_json +.. rubric:: Skillcorner + +.. currentmodule:: floodlight.io.skillcorner +.. autosummary:: + :nosignatures: + + read_position_data_json + .. rubric:: Sportradar .. currentmodule:: floodlight.io.sportradar diff --git a/docs/source/modules/io/skillcorner.rst b/docs/source/modules/io/skillcorner.rst new file mode 100644 index 00000000..a6f11784 --- /dev/null +++ b/docs/source/modules/io/skillcorner.rst @@ -0,0 +1,6 @@ +========================= +floodlight.io.skillcorner +========================= + +.. automodule:: floodlight.io.skillcorner + :members: diff --git a/docs/source/modules/utils/types.rst b/docs/source/modules/utils/types.rst index 358640e3..744475a9 100644 --- a/docs/source/modules/utils/types.rst +++ b/docs/source/modules/utils/types.rst @@ -1,6 +1,6 @@ -=================== -floodlight.io.types -=================== +====================== +floodlight.utils.types +====================== floodlight specific typing objects diff --git a/floodlight/__init__.py b/floodlight/__init__.py index f5cb9bfd..7dfad9bb 100644 --- a/floodlight/__init__.py +++ b/floodlight/__init__.py @@ -18,7 +18,7 @@ "XY", ] -__version__ = "0.4.0" +__version__ = "0.5.0" __doc__ = """ A high-level, data-driven sports analytics framework diff --git a/floodlight/core/xy.py b/floodlight/core/xy.py index 4c0caa44..d01bf35d 100644 --- a/floodlight/core/xy.py +++ b/floodlight/core/xy.py @@ -138,7 +138,7 @@ def translate(self, shift: Tuple[Numeric, Numeric]): it previously has a non-floating dtype. """ # cast to float - if self.xy.dtype not in [np.float_, np.float64, np.float32, float]: + if self.xy.dtype not in [np.float64, np.float32, float]: self.xy = self.xy.astype(np.float32, copy=False) self.x = np.round(self.x + shift[0], 3) @@ -162,7 +162,7 @@ def scale(self, factor: float, axis: str = None): it previously has a non-floating dtype. """ # cast to float - if self.xy.dtype not in [np.float_, np.float64, np.float32, float]: + if self.xy.dtype not in [np.float64, np.float32, float]: self.xy = self.xy.astype(np.float32, copy=False) if axis is None: @@ -210,7 +210,7 @@ def rotate(self, alpha: float): f"Expected alpha to be from -360 to 360, got {alpha} instead" ) # cast to float - if self.xy.dtype not in [np.float_, np.float64, np.float32, float]: + if self.xy.dtype not in [np.float64, np.float32, float]: self.xy = self.xy.astype(np.float32, copy=False) # construct rotation matrix diff --git a/floodlight/io/datasets.py b/floodlight/io/datasets.py index 4915e796..fb609ef8 100644 --- a/floodlight/io/datasets.py +++ b/floodlight/io/datasets.py @@ -13,6 +13,7 @@ read_teamsheets_from_open_event_data_json, ) from floodlight import XY, Pitch, Events, Code +from floodlight.io.dfl import read_event_data_xml, read_position_data_xml from floodlight.core.teamsheet import Teamsheet from floodlight.settings import DATA_DIR @@ -479,16 +480,20 @@ def available_matches(self) -> pd.DataFrame: f"vs. " f"{info['away_team']['away_team_name']}", "score": f"{info['home_score']}:{info['away_score']}", - "stadium": info["stadium"]["name"] - if "stadium" in info - else None, - "country": info["stadium"]["country"]["name"] - if "stadium" in info - else None, - "sex": "f" - if competition - in ["FA Women's Super League", "NWSL", "Women's World Cup"] - else "m", + "stadium": ( + info["stadium"]["name"] if "stadium" in info else None + ), + "country": ( + info["stadium"]["country"]["name"] + if "stadium" in info + else None + ), + "sex": ( + "f" + if competition + in ["FA Women's Super League", "NWSL", "Women's World Cup"] + else "m" + ), "StatsBomb360_status": info["match_status_360"], "cID": cID, "sID": sID, @@ -799,3 +804,352 @@ def _download_matches_info(self) -> None: ) with open(season_file, "wb") as binary_file: binary_file.write(download_from_url(season_host_url)) + + +class IDSSEDataset: + """This dataset loads the accompanying data set from the *An integrated dataset of + synchronized spatiotemporal and event data in elite soccer* paper. [2]_ + + Upon instantiation, the class checks if the specified data already exists in the + repository's root ``.data``-folder, and will download the files to this folder if + not. The default setting is to load the first match from the dataset. However, any + individual match or the entire dataset (~2.4 GB) can be downloaded. + + Parameters + ---------- + dataset_dir_name: str, optional + Name of subdirectory where the dataset is stored within the root .data + directory. Defaults to 'idsse_dataset'. + match_id: str, optional + Match-ID of either one of the matches or 'all'. Defaults to 'J03WMX'. Setting it + to one of the matches will download the data of this individual match, if it + does not exist in the repository's root ``.data``-folder. Setting it to 'all' + will download the data of all matches that do not exist in ``.data``. + + Notes + ----- + The dataset contains seven full matches of raw event and position data for both + teams and the ball from the German Men's Bundesliga season 2022/23 first and second + division. A detailed description of the dataset as well as the collection process + can be found in the accompanying paper. Data for one match can be queried calling + the :func:`~IDSSEDataset.get`-method by specifying the match. The following matches + are available:: + + matches = { + 'J03WMX': 1. FC Köln vs. FC Bayern München, + 'J03WN1': VfL Bochum 1848 vs. Bayer 04 Leverkusen, + 'J03WPY': Fortuna Düsseldorf vs. 1. FC Nürnberg, + 'J03WOH': Fortuna Düsseldorf vs. SSV Jahn Regensburg, + 'J03WQQ': Fortuna Düsseldorf vs. FC St. Pauli, + 'J03WOY': Fortuna Düsseldorf vs. F.C. Hansa Rostock, + 'J03WR9': Fortuna Düsseldorf vs. 1. FC Kaiserslautern + } + + Examples + -------- + >>> from floodlight.io.datasets import IDSSEDataset + + >>> dataset = IDSSEDataset("J03WMX") + # get one sample + >>> events, xy, possession, ballstatus, teamsheets, pitch = dataset.get("J03WMX") + # get the corresponding pitch + >>> pitch = dataset.get_pitch() + + + References + ---------- + .. [2] `Bassek, M., Weber, H., Rein, R., & Memmert,D. (2024). An integrated + dataset of synchronized spatiotemporal and event data in elite soccer. In + Submission.` + """ + + def __init__(self, dataset_dir_name="idsse_dataset", match_id="J03WMX"): + self._IDSSE_SCHEMA = "https" + self._IDSSE_BASE_URL = "figshare.com/ndownloader/files" + self._IDSSE_FILE_IDS_INFO = { + "J03WMX": "48392485", + "J03WN1": "48392491", + "J03WPY": "48392497", + "J03WOH": "48392515", + "J03WQQ": "48392488", + "J03WOY": "48392503", + "J03WR9": "48392494", + } + self._IDSSE_FILE_IDS_EVENT = { + "J03WMX": "48392524", + "J03WN1": "48392527", + "J03WPY": "48392542", + "J03WOH": "48392500", + "J03WQQ": "48392521", + "J03WOY": "48392518", + "J03WR9": "48392530", + } + self._IDSSE_FILE_IDS_POSITION = { + "J03WMX": "48392539", + "J03WN1": "48392512", + "J03WPY": "48392572", + "J03WOH": "48392578", + "J03WQQ": "48392545", + "J03WOY": "48392551", + "J03WR9": "48392563", + } + self._IDSSE_PRIVATE_LINK = "1f806cb3e755c6b54e05" + if match_id in self._IDSSE_FILE_IDS_INFO.keys(): + self._IDSSE_HOST_URL_INFO = ( + f"{self._IDSSE_SCHEMA}://" + f"{self._IDSSE_BASE_URL}/" + f"{self._IDSSE_FILE_IDS_INFO[match_id]}" + f"?private_link={self._IDSSE_PRIVATE_LINK}" + ) + self._IDSSE_HOST_URL_EVENT = ( + f"{self._IDSSE_SCHEMA}://" + f"{self._IDSSE_BASE_URL}/" + f"{self._IDSSE_FILE_IDS_EVENT[match_id]}" + f"?private_link={self._IDSSE_PRIVATE_LINK}" + ) + self._IDSSE_HOST_URL_POSITION = ( + f"{self._IDSSE_SCHEMA}://" + f"{self._IDSSE_BASE_URL}/" + f"{self._IDSSE_FILE_IDS_POSITION[match_id]}" + f"?private_link={self._IDSSE_PRIVATE_LINK}" + ) + elif match_id == "all": + pass + else: + raise ValueError( + f"Expected match_id to be in {self._IDSSE_FILE_IDS_INFO.values()} or" + f"`all`, got {match_id} instead." + ) + self._IDSSE_FILE_EXT = "xml" + + self._data_dir = os.path.join(DATA_DIR, dataset_dir_name) + + if not os.path.isdir(self._data_dir): + os.makedirs(self._data_dir, exist_ok=True) + + if match_id in self._IDSSE_FILE_IDS_INFO.keys(): + if match_id in ["J03WMX", "J03WN1"]: + competition = "DFL-COM-000001" + else: + competition = "DFL-COM-000002" + + self._IDSSE_FILE_NAME_INFO = ( + f"DFL_02_01_matchinformation_" + f"{competition}" + f"_DFL-MAT-{match_id}." + f"{self._IDSSE_FILE_EXT}" + ) + self._IDSSE_FILE_NAME_EVENT = ( + f"DFL_03_02_events_raw_" + f"{competition}_DFL-MAT-{match_id}." + f"{self._IDSSE_FILE_EXT}" + ) + self._IDSSE_FILE_NAME_POSITION = ( + f"DFL_04_03_positions_raw_observed_" + f"{competition}_DFL-MAT-{match_id}." + f"{self._IDSSE_FILE_EXT}" + ) + + if not os.path.isfile(f"{self._data_dir}/{self._IDSSE_FILE_NAME_INFO}"): + self._download_and_write( + self._IDSSE_FILE_NAME_INFO, self._IDSSE_HOST_URL_INFO + ) + if not os.path.isfile(f"{self._data_dir}/{self._IDSSE_FILE_NAME_EVENT}"): + self._download_and_write( + self._IDSSE_FILE_NAME_EVENT, self._IDSSE_HOST_URL_EVENT + ) + if not os.path.isfile(f"{self._data_dir}/{self._IDSSE_FILE_NAME_POSITION}"): + self._download_and_write( + self._IDSSE_FILE_NAME_POSITION, self._IDSSE_HOST_URL_POSITION + ) + elif match_id == "all": + for file_id in self._IDSSE_FILE_IDS_INFO: + if file_id in ["J03WMX", "J03WN1"]: + competition = "DFL-COM-000001" + else: + competition = "DFL-COM-000002" + self._IDSSE_HOST_URL_INFO = ( + f"{self._IDSSE_SCHEMA}://" + f"{self._IDSSE_BASE_URL}/" + f"{self._IDSSE_FILE_IDS_INFO[file_id]}" + f"?private_link={self._IDSSE_PRIVATE_LINK}" + ) + self._IDSSE_HOST_URL_EVENT = ( + f"{self._IDSSE_SCHEMA}://" + f"{self._IDSSE_BASE_URL}/" + f"{self._IDSSE_FILE_IDS_EVENT[file_id]}" + f"?private_link={self._IDSSE_PRIVATE_LINK}" + ) + self._IDSSE_HOST_URL_POSITION = ( + f"{self._IDSSE_SCHEMA}://" + f"{self._IDSSE_BASE_URL}/" + f"{self._IDSSE_FILE_IDS_POSITION[file_id]}" + f"?private_link={self._IDSSE_PRIVATE_LINK}" + ) + + self._IDSSE_FILE_NAME_INFO = ( + f"DFL_02_01_matchinformation_" + f"{competition}_DFL-MAT-{file_id}." + f"{self._IDSSE_FILE_EXT}" + ) + self._IDSSE_FILE_NAME_EVENT = ( + f"DFL_03_02_events_raw_{competition}" + f"_DFL-MAT-{file_id}." + f"{self._IDSSE_FILE_EXT}" + ) + self._IDSSE_FILE_NAME_POSITION = ( + f"DFL_04_03_positions_raw_observed_" + f"{competition}_DFL-MAT-{file_id}." + f"{self._IDSSE_FILE_EXT}" + ) + + if not os.path.isfile(f"{self._data_dir}/{self._IDSSE_FILE_NAME_INFO}"): + self._download_and_write( + self._IDSSE_FILE_NAME_INFO, self._IDSSE_HOST_URL_INFO + ) + if not os.path.isfile( + f"{self._data_dir}/{self._IDSSE_FILE_NAME_EVENT}" + ): + self._download_and_write( + self._IDSSE_FILE_NAME_EVENT, self._IDSSE_HOST_URL_EVENT + ) + if not os.path.isfile( + f"{self._data_dir}/{self._IDSSE_FILE_NAME_POSITION}" + ): + self._download_and_write( + self._IDSSE_FILE_NAME_POSITION, self._IDSSE_HOST_URL_POSITION + ) + + def _download_and_write(self, file_name, host_url) -> None: + """Downloads a text file into temporary storage and + writes the content to the file system. + """ + file = f"{self._data_dir}/{file_name}" + response = download_from_url(host_url) + with open(file, "wb") as binary_file: + binary_file.write(response) + binary_file.close() + + @staticmethod + def get_pitch() -> Pitch: + """Returns a Pitch object corresponding to the IDSSE-data.""" + return Pitch.from_template("dfl", length=105, width=68) + + def get( + self, + match_id: str = "J03WMX", + teamsheet_home: Teamsheet = None, + teamsheet_away: Teamsheet = None, + events=True, + positions=True, + ) -> Tuple[ + Dict[str, Dict[str, Events]], + Dict[str, Dict[str, XY]], + Dict[str, Code], + Dict[str, Code], + Dict[str, Teamsheet], + Pitch, + ]: + """Get event and position data from the IDSSE dataset. + + Parameters + ---------- + match_id : str, optional + Match name, check Notes section for valid arguments. + Defaults to the first match "J03WMX". + teamsheet_home: Teamsheet, optional + Teamsheet-object for the home team used to create link dictionaries of the + form `links[pID] = team`. If given as None (default), teamsheet is + extracted from the data. + teamsheet_away: Teamsheet, optional + Teamsheet-object for the home team used to create link dictionaries of the + form `links[pID] = team`. If given as None (default), teamsheet is + extracted from the data. + events: bool, optional + Specifies whether the event data should be returned. Default is True. If + false None will be returned instead of the events-objects. + positions: bool, optional + Specifies whether the position data should be returned. Default is True. If + false None will be returned instead of the XY-objects, possession-objects, + and ballstatus-objects. This will improve performance considerably if only + event data is required. + + + Returns + ------- + match_data: Tuple[Dict[str, Dict[str, Events]], Dict[str, Dict[str, XY]], + Dict[str, Code], Dict[str, Code], Dict[str, Teamsheet],Pitch + Returns a tuple of shape (events_objects, xy_objects, possession_objects, + ballstatus_objects, teamsheets_objects, pitch_object) as returned by the + ``floodlight.io.dfl.read_event_data_xml()`` and + ``floodlight.io.dfl.read_position_data_xml()`` functions for the requested + match. If any of the arguments ``events`` or ``positions`` are set to False, + None is returned instead of `event_data` or `xy_objects`, + `possession_objects`, and `ballstatus_objects`, respectively. + """ + + if match_id in ["J03WMX", "J03WN1"]: + competition = "DFL-COM-000001" + else: + competition = "DFL-COM-000002" + + file_name_infos = os.path.join( + self._data_dir, + f"DFL_02_01_matchinformation_" + f"{competition}_DFL-MAT-{match_id}." + f"{self._IDSSE_FILE_EXT}", + ) + + file_name_events = os.path.join( + self._data_dir, + f"DFL_03_02_events_raw_" + f"{competition}_DFL-MAT-{match_id}." + f"{self._IDSSE_FILE_EXT}", + ) + + file_name_positions = os.path.join( + self._data_dir, + f"DFL_04_03_positions_raw_observed_" + f"{competition}_DFL-MAT-{match_id}." + f"{self._IDSSE_FILE_EXT}", + ) + + if not os.path.isfile(file_name_infos): + raise FileNotFoundError( + f"Could not load file, check class description for valid match " + f"and segment values ({file_name_infos})." + ) + + # parse event data + if events is True: + events_objects, teamsheets_objects, pitch_object = read_event_data_xml( + file_name_events, file_name_infos, teamsheet_home, teamsheet_away + ) + else: + events_objects, teamsheets_objects, pitch_object = (None, None, None) + + # parse position data + if positions is True: + ( + xy_objects, + possession_objects, + ballstatus_objects, + teamsheets_objects, + pitch_object, + ) = read_position_data_xml( + file_name_positions, file_name_infos, teamsheet_home, teamsheet_away + ) + else: + xy_objects, possession_objects, ballstatus_objects = (None, None, None) + + # assemble + match_data = ( + events_objects, + xy_objects, + possession_objects, + ballstatus_objects, + teamsheets_objects, + pitch_object, + ) + + return match_data diff --git a/floodlight/io/kinexon.py b/floodlight/io/kinexon.py index 8a68989a..9c756531 100644 --- a/floodlight/io/kinexon.py +++ b/floodlight/io/kinexon.py @@ -7,13 +7,17 @@ from floodlight.core.xy import XY -def get_column_names_from_csv(filepath_data: Union[str, Path]) -> List[str]: +def get_column_names_from_csv( + filepath_data: Union[str, Path], delimiter: str = "," +) -> List[str]: """Reads first line of a Kinexon.csv-file and extracts the column names. Parameters ---------- filepath_data: str or pathlib.Path Full path to Kinexon.csv-file. + delimiter: str + Column delimiter used in the Kinexon.csv file. Defaults to ','. Returns ------- @@ -22,12 +26,14 @@ def get_column_names_from_csv(filepath_data: Union[str, Path]) -> List[str]: """ with open(str(filepath_data), encoding="utf-8") as f: - columns = f.readline().split(",") + columns = f.readline().split(delimiter) return columns -def _get_column_links(filepath_data: Union[str, Path]) -> Union[None, Dict[str, int]]: +def _get_column_links( + filepath_data: Union[str, Path], delimiter: str = "," +) -> Union[None, Dict[str, int]]: """Creates a dictionary with the relevant recorded columns and their corresponding column index in the Kinexon.csv-file. @@ -35,6 +41,8 @@ def _get_column_links(filepath_data: Union[str, Path]) -> Union[None, Dict[str, ---------- filepath_data: str or pathlib.Path Full path to Kinexon.csv-file. + delimiter: str + Column delimiter used in the Kinexon.csv file. Defaults to ','. Returns ------- @@ -52,7 +60,7 @@ def _get_column_links(filepath_data: Union[str, Path]) -> Union[None, Dict[str, - y_coord: 'y in m' """ - recorded_columns = get_column_names_from_csv(str(filepath_data)) + recorded_columns = get_column_names_from_csv(str(filepath_data), delimiter) # relevant columns mapping = { @@ -145,7 +153,7 @@ def _get_group_id( def get_meta_data( - filepath_data: Union[str, Path] + filepath_data: Union[str, Path], delimiter: str = "," ) -> Tuple[Dict[str, Dict[str, List[str]]], int, int, int]: """Reads Kinexon's position data file and extracts meta-data about groups, sensors, length and framerate. @@ -154,6 +162,8 @@ def get_meta_data( ---------- filepath_data: str or pathlib.Path Full path to Kinexon.csv-file. + delimiter: str, optional + Column delimiter used in the Kinexon.csv file. Defaults to ','. Returns ------- @@ -177,7 +187,7 @@ def get_meta_data( Timestamp of the first recorded frame """ - column_links = _get_column_links(str(filepath_data)) + column_links = _get_column_links(str(filepath_data), delimiter) sensor_identifier = {"name", "number", "sensor_id", "mapped_id"} column_links_set = set(column_links) recorded_sensor_identifier = list(column_links_set & sensor_identifier) @@ -208,7 +218,7 @@ def get_meta_data( if len(line_string) == 0: break # split str - line = line_string.split(",") + line = line_string.split(delimiter) # extract frames timestamp t.append(int(line[column_links["time"]])) # extract group_id @@ -334,7 +344,9 @@ def create_links_from_meta_data( return links -def read_position_data_csv(filepath_data: Union[str, Path]) -> List[XY]: +def read_position_data_csv( + filepath_data: Union[str, Path], delimiter: str = "," +) -> List[XY]: """Parses a Kinexon csv file and extracts position data. Kinexon's local positioning system delivers one .csv file containing the position @@ -345,6 +357,9 @@ def read_position_data_csv(filepath_data: Union[str, Path]) -> List[XY]: ---------- filepath_data: str or pathlib.Path Full path to Kinexon .csv-file. + delimiter: str + Column delimiter used in the Kinexon.csv file. Defaults to ','. + Returns ------- @@ -356,12 +371,14 @@ def read_position_data_csv(filepath_data: Union[str, Path]) -> List[XY]: """ # get metadata - pID_dict, number_of_frames, framerate, t_null = get_meta_data(filepath_data) + pID_dict, number_of_frames, framerate, t_null = get_meta_data( + filepath_data, delimiter + ) # get links links = create_links_from_meta_data(pID_dict) # get column-links - column_links = _get_column_links(filepath_data) + column_links = _get_column_links(filepath_data, delimiter) column_links_set = set(column_links) group_identifier_set = {"group_id", "group_name"} recorded_group_identifier = list(column_links_set & group_identifier_set) @@ -392,7 +409,7 @@ def read_position_data_csv(filepath_data: Union[str, Path]) -> List[XY]: if len(line_string) == 0: break # split str - line = line_string.split(",") + line = line_string.split(delimiter) timestamp = int(line[column_links["time"]]) # set group group_id = _get_group_id(recorded_group_identifier, column_links, line) diff --git a/floodlight/io/skillcorner.py b/floodlight/io/skillcorner.py new file mode 100644 index 00000000..97a17b44 --- /dev/null +++ b/floodlight/io/skillcorner.py @@ -0,0 +1,267 @@ +import json +from typing import Dict, Tuple, Union, List + +import numpy as np +import pandas as pd + +from floodlight import Teamsheet, Code, XY, Pitch + + +def _get_meta_data( + match_data: Dict[str, Union[List, str, Dict, int]] +) -> Tuple[int, int, List[int], int]: + """ + Extract metadata from match data including team IDs, referee IDs, and ball ID. + + Parameters + ---------- + match_data : dict + A dictionary containing match data with keys 'home_team', 'away_team', + 'referees', and 'ball'. It is returned when importing the match_data.json + provided by Skillcorner for each match. + + Returns + ------- + home_team_id : int + The ID of the home team. + away_team_id : int + The ID of the away team. + referee_ids : list of int + A list of trackable object IDs for the referees. + ball_id : int + The trackable object ID for the ball. + + """ + home_team_id = match_data["home_team"]["id"] + away_team_id = match_data["away_team"]["id"] + + referee_ids = [x["trackable_object"] for x in match_data["referees"]] + ball_id = match_data["ball"]["trackable_object"] + + return home_team_id, away_team_id, referee_ids, ball_id + + +def _get_teamsheets( + match_data: Dict[str, Union[List, str, Dict, int]] +) -> Dict[str, Teamsheet]: + """ + Extract teamsheets from match data and return them as `Teamsheet` objects. + + Parameters + ---------- + match_data : dict + A dictionary containing match data with keys 'home_team', 'away_team', + 'players', and 'ball'. It is returned when importing the match_data.json + provided by Skillcorner for each match. + + Returns + ------- + teamsheets: dict + A dictionary containing teamsheets for 'Home' and 'Away'. + Each teamsheet is an instance of the `Teamsheet` class, which includes + additional player information. + """ + home_team_id, away_team_id, _, _ = _get_meta_data(match_data) + + players = { + "Home": [x for x in match_data["players"] if x["team_id"] == home_team_id], + "Away": [x for x in match_data["players"] if x["team_id"] == away_team_id], + } + + teamsheets = {} + for team in players: + team_df = pd.DataFrame(players[team]) + # add essential column + team_df["player"] = team_df["trackable_object"] + teamsheets.update({team: Teamsheet(team_df)}) + teamsheets[team].add_xIDs() + + return teamsheets + + +def _get_pitch_from_match_data( + match_data: Dict[str, Union[List, str, Dict, int]] +) -> Pitch: + """ + Create a Pitch object based on the dimensions provided in the match data. + + Parameters + ---------- + match_data : dict + A dictionary containing match data with keys 'pitch_length' and 'pitch_width'. + It is returned by the `_get_meta_data()`-function that extracts relevant + information from the match_data.json content. + + Returns + ------- + pitch: Pitch + Pitch object with actual pitch length and width. + """ + + pitch_length = match_data["pitch_length"] + pitch_width = match_data["pitch_width"] + pitch = Pitch( + xlim=(-pitch_length / 2, pitch_length / 2), + ylim=(-pitch_width / 2, pitch_width / 2), + unit="m", + boundaries="flexible", + sport="football", + ) + + return pitch + + +def read_position_data_json( + file_path_structured_data: str, + file_path_match_data: str, + teamsheet_home: Teamsheet = None, + teamsheet_away: Teamsheet = None, +) -> tuple[ + Dict[str, Dict[str, XY]], + Dict[str, Dict[str, Code]], + Dict[str, Dict[str, Code]], + Dict[str, Teamsheet], + Pitch, +]: + """ + Parse and process position data and match data from the `SkillCorner Open Dataset + `_ from disk. + + This dataset was published by `SkillCorner `_ + in a joint initiative with `Friends Of Tracking + `_. It contains 9 matches + of broadcast tracking data in JSON format. The data for each match is structured + in two separate files. The match data file contains meta information about the + match and its competitors, like team and player's identifiers. The structured data + file contains the position data for each frame. + + Parameters + ---------- + file_path_structured_data : str + The file path to the positions JSON file. + file_path_match_data : str + The file path to the match data JSON file. + teamsheet_home : Teamsheet, optional + The teamsheet for the home team (default is None). + teamsheet_away : Teamsheet, optional + The teamsheet for the away team (default is None). + + Returns + ------- + xy_objects : dict + A dictionary containing XY objects for each half and each team. + possession_objects_team : dict + A dictionary containing team possession codes for each half. + possession_objects_player : dict + A dictionary containing player possession codes for each half. + teamsheets : dict + A dictionary containing the teamsheets for 'Home', 'Away', and 'Ball'. + pitch : Pitch + The Pitch object representing the match pitch. + """ + + # hard coded framerate, as it is specified in the documentation of the dataset + framerate = 10 + # mapping for Code-object definitions attribute + home_away_link = {"home team": 1, "away team": 2} + + with open(file_path_match_data) as f: + match_data = json.load(f) + with open(file_path_structured_data) as f: + positions = json.load(f) + + pitch = _get_pitch_from_match_data(match_data) + home_team_id, away_team_id, referee_ids, ball_id = _get_meta_data(match_data) + teamsheets = _get_teamsheets(match_data) + + if teamsheet_home is not None: + teamsheets["Home"] = teamsheet_home + if teamsheet_away is not None: + teamsheets["Away"] = teamsheet_away + + pID_links = {} + for team in teamsheets: + pID_links.update({team: teamsheets[team].get_links("player", "xID")}) + + frames = { + "firstHalf": [x for x in positions if x["period"] == 1], + "secondHalf": [x for x in positions if x["period"] == 2], + } + + # create empty return objects + xy_objects = {} + possession_objects_team = {} + possession_objects_player = {} + # pre-allocate nd-arrays for xy- and possession-objects + for half in frames: + xy_objects.update({half: {}}) + possession_objects_team.update({half: np.full((len(frames[half]),), np.nan)}) + possession_objects_player.update({half: np.full((len(frames[half]),), np.nan)}) + for team in pID_links: + xy_objects[half].update( + {team: np.full((len(frames[half]), len(teamsheets[team]) * 2), np.nan)} + ) + xy_objects[half].update({"Ball": np.full((len(frames[half]), 2), np.nan)}) + + # loop through half times + for half in frames: + # loop through frames + for t, frame in enumerate(frames[half]): + team_possession = frame["possession"].get("group") + player_possession = frame["possession"].get("trackable_object") + # if ball possession is available, assign team- and player-possession + if team_possession is not None: + possession_objects_team[half][t] = home_away_link[team_possession] + if player_possession in pID_links["Home"]: + possession_objects_player[half][t] = pID_links["Home"][ + player_possession + ] + elif player_possession in pID_links["Away"]: + possession_objects_player[half][t] = pID_links["Away"][ + player_possession + ] + + # loop through players + for tracked_object in frame["data"]: + # trackable_object as identifier is missing for about 5% of the frames + pID = tracked_object.get("trackable_object") + # write x/y-coordinates into respective teams and players columns + if pID in pID_links["Home"]: + x_column = pID_links["Home"][tracked_object["trackable_object"]] * 2 + y_column = x_column + 1 + xy_objects[half]["Home"][t, x_column] = tracked_object["x"] + xy_objects[half]["Home"][t, y_column] = tracked_object["y"] + elif pID in pID_links["Away"]: + x_column = pID_links["Away"][tracked_object["trackable_object"]] * 2 + y_column = x_column + 1 + xy_objects[half]["Away"][t, x_column] = tracked_object["x"] + xy_objects[half]["Away"][t, y_column] = tracked_object["y"] + elif pID is ball_id: + xy_objects[half]["Ball"][t, 0] = tracked_object["x"] + xy_objects[half]["Ball"][t, 1] = tracked_object["y"] + # do 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-requests = [] -scipy = [] -setuptools-scm = [] -six = [] -smmap = [] -snowballstemmer = [] -sphinx = [] -sphinx-autodoc-typehints = [] -sphinx-rtd-theme = [] -sphinxcontrib-applehelp = [] -sphinxcontrib-devhelp = [] -sphinxcontrib-htmlhelp = [] -sphinxcontrib-jsmath = [] -sphinxcontrib-qthelp = [] -sphinxcontrib-serializinghtml = [] -termcolor = [] -toml = [] -tomli = [] -tomlkit = [] -typing-extensions = [] -urllib3 = [] -virtualenv = [] -wcwidth = [] +lock-version = "2.0" +python-versions = ">=3.10, <3.13" +content-hash = "d2286a3b5f853a4f1bd19eb91c1274b8b99bf9c454ac5772ce2f93eab4f3a3ec" diff --git a/pyproject.toml b/pyproject.toml index 5a72ba73..a48db6c6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "floodlight" -version = "0.4.0" +version = "0.5.0" description = "A high-level framework for sports data analysis" authors = ["draabe "] license = "MIT" @@ -23,28 +23,28 @@ include = [ [tool.poetry.dependencies] -python = ">=3.8, <3.11" -numpy = 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a/tests/test_core/conftest.py b/tests/test_core/conftest.py index dbc66da2..c8ebbd94 100644 --- a/tests/test_core/conftest.py +++ b/tests/test_core/conftest.py @@ -174,8 +174,8 @@ def example_events_data_xy_none() -> pd.DataFrame: data = { "eID": [0, 0], "gameclock": [0.1, 0.2], - "at_x": [np.NAN, np.NAN], - "at_y": [np.NAN, np.NAN], + "at_x": [np.nan, np.nan], + "at_y": [np.nan, np.nan], } return pd.DataFrame(data) diff --git a/tests/test_core/test_definitions.py b/tests/test_core/test_definitions.py index 950c47a2..f34a286f 100644 --- a/tests/test_core/test_definitions.py +++ b/tests/test_core/test_definitions.py @@ -1,6 +1,5 @@ import pytest - from floodlight.core.definitions import essential_events_columns, protected_columns @@ -12,11 +11,11 @@ def test_essential_events_columns() -> None: for key in essential_events_columns: # Act + Assert column = essential_events_columns[key] - assert type(column["definition"]) == str - assert type(column["dtypes"]) == list + assert isinstance(column["definition"], str) + assert isinstance(column["dtypes"], list) if column["value_range"] is not None: - assert type(column["value_range"]) == list + assert isinstance(column["value_range"], list) assert len(column["value_range"]) == 2 min_val, max_val = column["value_range"] assert min_val <= max_val @@ -28,11 +27,11 @@ def test_protected_columns() -> None: for key in protected_columns: # Act + Assert column = protected_columns[key] - assert type(column["definition"]) == str - assert type(column["dtypes"]) == list + assert isinstance(column["definition"], str) + assert isinstance(column["dtypes"], list) if column["value_range"] is not None: - assert type(column["value_range"]) == list + assert isinstance(column["value_range"], list) assert len(column["value_range"]) == 2 min_val, max_val = column["value_range"] assert min_val <= max_val diff --git a/tests/test_core/test_events.py b/tests/test_core/test_events.py index 94c87fd5..3b242d5d 100644 --- a/tests/test_core/test_events.py +++ b/tests/test_core/test_events.py @@ -224,7 +224,7 @@ def test_translation_function( data_none.translate((3, 7)) assert pd.DataFrame.equals( data_none.events[["at_x", "at_y"]], - pd.DataFrame({"at_x": [np.NaN, np.NaN], "at_y": [np.NaN, np.NaN]}), + pd.DataFrame({"at_x": [np.nan, np.nan], "at_y": [np.nan, np.nan]}), ) data_minimal_translated.translate((1, 2)) @@ -265,7 +265,7 @@ def test_scale_function( data_none.scale(factor=2) assert pd.DataFrame.equals( data_none.events[["at_x", "at_y"]], - pd.DataFrame({"at_x": [np.NaN, np.NaN], "at_y": [np.NaN, np.NaN]}), + pd.DataFrame({"at_x": [np.nan, np.nan], "at_y": [np.nan, np.nan]}), ) data_minimal_scaled.scale(2) @@ -302,12 +302,12 @@ def test_reflect_function( data_none.reflect(axis="x") assert pd.DataFrame.equals( data_none.events[["at_x", "at_y"]], - pd.DataFrame({"at_x": [np.NaN, np.NaN], "at_y": [np.NaN, np.NaN]}), + pd.DataFrame({"at_x": [np.nan, np.nan], "at_y": [np.nan, np.nan]}), ) data_none.reflect(axis="y") assert pd.DataFrame.equals( data_none.events[["at_x", "at_y"]], - pd.DataFrame({"at_x": [np.NaN, np.NaN], "at_y": [np.NaN, np.NaN]}), + pd.DataFrame({"at_x": [np.nan, np.nan], "at_y": [np.nan, np.nan]}), ) with pytest.raises(ValueError): data_none.reflect(axis="z") @@ -345,7 +345,7 @@ def test_rotate( data_none.rotate(90) assert pd.DataFrame.equals( data_none.events[["at_x", "at_y"]], - pd.DataFrame({"at_x": [np.NaN, np.NaN], "at_y": [np.NaN, np.NaN]}), + pd.DataFrame({"at_x": [np.nan, np.nan], "at_y": [np.nan, np.nan]}), ) data_minimal_rotated.rotate(0) diff --git a/tests/test_models/conftest.py b/tests/test_models/conftest.py index 2d8b7dce..d4d72369 100644 --- a/tests/test_models/conftest.py +++ b/tests/test_models/conftest.py @@ -1,5 +1,8 @@ +from typing import Tuple + import pytest import numpy as np + from floodlight import Pitch, XY @@ -29,7 +32,7 @@ def example_xy_object_geometry(): @pytest.fixture() def example_xy_object_kinematics(): xy = XY( - xy=np.array(((0, 0, -1, 1), (0, 1, np.NAN, np.NAN), (1, 2, 1, -1))), + xy=np.array(((0, 0, -1, 1), (0, 1, np.nan, np.nan), (1, 2, 1, -1))), framerate=20, ) return xy @@ -66,7 +69,7 @@ def example_pitch_dfl(): @pytest.fixture() -def example_xy_objects_space_control() -> XY: +def example_xy_objects_space_control() -> Tuple[XY, XY]: xy1 = XY( xy=np.array( ( diff --git a/tests/test_models/test_kinematics.py b/tests/test_models/test_kinematics.py index 723287a9..12dd0a96 100644 --- a/tests/test_models/test_kinematics.py +++ b/tests/test_models/test_kinematics.py @@ -24,7 +24,7 @@ def test_distance_model_fit_difference_central(example_xy_object_kinematics) -> # Assert assert np.array_equal( np.round(distance_covered, 3), - np.array(((1, np.NaN), (1.118, 1.414), (1.414, np.NaN))), + np.array(((1, np.nan), (1.118, 1.414), (1.414, np.nan))), equal_nan=True, ) @@ -42,7 +42,7 @@ def test_distance_model_fit_difference_backward(example_xy_object_kinematics) -> # Assert assert np.array_equal( np.round(distance_covered, 3), - np.array(((0, 0), (1, np.NaN), (1.414, np.NaN))), + np.array(((0, 0), (1, np.nan), (1.414, np.nan))), equal_nan=True, ) @@ -60,7 +60,7 @@ def test_distance_covered(example_xy_object_kinematics) -> None: # Assert assert np.array_equal( np.round(distance_covered, 3), - np.array(((1, np.NaN), (1.118, 1.414), (1.414, np.NaN))), + np.array(((1, np.nan), (1.118, 1.414), (1.414, np.nan))), equal_nan=True, ) @@ -96,7 +96,7 @@ def test_velocity_model_fit_difference_central(example_xy_object_kinematics) -> # Assert assert np.array_equal( np.round(velocity, 3), - np.array(((20, np.NaN), (22.361, 28.284), (28.284, np.NaN))), + np.array(((20, np.nan), (22.361, 28.284), (28.284, np.nan))), equal_nan=True, ) @@ -114,7 +114,7 @@ def test_velocity_model_fit_difference_backward(example_xy_object_kinematics) -> # Assert assert np.array_equal( np.round(velocity, 3), - np.array(((0, 0), (20, np.NaN), (28.284, np.NaN))), + np.array(((0, 0), (20, np.nan), (28.284, np.nan))), equal_nan=True, ) @@ -132,7 +132,7 @@ def test_velocity(example_xy_object_kinematics) -> None: # Assert assert np.array_equal( np.round(velocity, 3), - np.array(((20, np.NaN), (22.361, 28.284), (28.284, np.NaN))), + np.array(((20, np.nan), (22.361, 28.284), (28.284, np.nan))), equal_nan=True, ) @@ -150,7 +150,7 @@ def test_acceleration_model_difference_central(example_xy_object_kinematics) -> # Assert assert np.array_equal( np.round(acceleration, 3), - np.array(((47.214, np.NaN), (82.843, np.NaN), (118.472, np.NaN))), + np.array(((47.214, np.nan), (82.843, np.nan), (118.472, np.nan))), equal_nan=True, ) @@ -168,7 +168,7 @@ def test_acceleration_model_difference_backward(example_xy_object_kinematics) -> # Assert assert np.array_equal( np.round(acceleration, 3), - np.array(((0, 0), (400, np.NaN), (165.685, np.NaN))), + np.array(((0, 0), (400, np.nan), (165.685, np.nan))), equal_nan=True, ) @@ -186,6 +186,6 @@ def test_acceleration(example_xy_object_kinematics) -> None: # Assert assert np.array_equal( np.round(acceleration, 3), - np.array(((47.214, np.NaN), (82.843, np.NaN), (118.472, np.NaN))), + np.array(((47.214, np.nan), (82.843, np.nan), (118.472, np.nan))), equal_nan=True, ) diff --git a/tests/test_transforms/conftest.py b/tests/test_transforms/conftest.py index b2e66d9b..e8b6fd29 100644 --- a/tests/test_transforms/conftest.py +++ b/tests/test_transforms/conftest.py @@ -6,7 +6,7 @@ @pytest.fixture() def example_sequence(): seq = np.array( - [np.NaN, np.NaN, -5.07, -2.7, -3, np.NaN, np.NaN, 1.53, 27.13, None, 30.06] + [np.nan, np.nan, -5.07, -2.7, -3, np.nan, np.nan, 1.53, 27.13, None, 30.06] ) return seq @@ -31,7 +31,7 @@ def example_sequence_full(): @pytest.fixture() def example_sequence_nan(): - seq = np.array([np.NaN, np.NaN, np.NaN, np.NaN, np.NaN]) + seq = np.array([np.nan, np.nan, np.nan, np.nan, np.nan]) return seq @@ -41,31 +41,31 @@ def example_xy_filter(): xy = XY( np.array( [ - [np.NaN, -8.66, np.NaN, 1], - [np.NaN, -6.29, np.NaN, 2], - [-5.07, -4.31, np.NaN, 3], - [-2.7, -1.95, np.NaN, 4], - [np.NaN, -0.13, np.NaN, 5], - [np.NaN, 2.31, np.NaN, 6], - [1.53, 3.74, np.NaN, 7], - [5.13, 6.53, np.NaN, 8], - [7.02, 8.07, np.NaN, 9], - [9.48, 10.53, np.NaN, 8], - [10.09, np.NaN, np.NaN, 7], - [12.31, np.NaN, np.NaN, 6], - [13.22, np.NaN, np.NaN, 5], - [14.88, 14.88, np.NaN, 4], - [16.23, 17.05, np.NaN, 3], - [17.06, 18.37, np.NaN, 2], - [18.56, 19.27, np.NaN, 1], - [20.32, 20.46, np.NaN, 2], - [21.7, 22.61, np.NaN, 3], - [23.11, 23.54, np.NaN, 4], - [24.23, 25.25, np.NaN, 5], - [25.74, 25.95, np.NaN, 6], - [27.13, 28.06, np.NaN, 7], - [None, 29.55, np.NaN, 8], - [30.06, np.NaN, np.NaN, 9], + [np.nan, -8.66, np.nan, 1], + [np.nan, -6.29, np.nan, 2], + [-5.07, -4.31, np.nan, 3], + [-2.7, -1.95, np.nan, 4], + [np.nan, -0.13, np.nan, 5], + [np.nan, 2.31, np.nan, 6], + [1.53, 3.74, np.nan, 7], + [5.13, 6.53, np.nan, 8], + [7.02, 8.07, np.nan, 9], + [9.48, 10.53, np.nan, 8], + [10.09, np.nan, np.nan, 7], + [12.31, np.nan, np.nan, 6], + [13.22, np.nan, np.nan, 5], + [14.88, 14.88, np.nan, 4], + [16.23, 17.05, np.nan, 3], + [17.06, 18.37, np.nan, 2], + [18.56, 19.27, np.nan, 1], + [20.32, 20.46, np.nan, 2], + [21.7, 22.61, np.nan, 3], + [23.11, 23.54, np.nan, 4], + [24.23, 25.25, np.nan, 5], + [25.74, 25.95, np.nan, 6], + [27.13, 28.06, np.nan, 7], + [None, 29.55, np.nan, 8], + [30.06, np.nan, np.nan, 9], ] ), framerate=20, @@ -76,13 +76,13 @@ def example_xy_filter(): @pytest.fixture() def example_xy_filter_short(): - xy = XY(np.array([[23.11, 23.54, np.NaN], [30.06, np.NaN, np.NaN]]), framerate=20) + xy = XY(np.array([[23.11, 23.54, np.nan], [30.06, np.nan, np.nan]]), framerate=20) return xy @pytest.fixture() def example_xy_filter_one_frame(): - xy = XY(np.array((0, 1, np.NaN)), framerate=20) + xy = XY(np.array((0, 1, np.nan)), framerate=20) return xy diff --git a/tests/test_transforms/test_filter.py b/tests/test_transforms/test_filter.py index 368ce85f..8a879dc2 100644 --- a/tests/test_transforms/test_filter.py +++ b/tests/test_transforms/test_filter.py @@ -99,31 +99,31 @@ def test_butterworth_lowpass_remove_seqs_false(example_xy_filter: XY) -> None: np.round(data_filt, 2), np.array( [ - [np.NaN, -8.66, np.NaN, 1.18], - [np.NaN, -6.29, np.NaN, 2.28], - [-5.07, -4.31, np.NaN, 3.32], - [-2.7, -1.95, np.NaN, 4.26], - [np.NaN, -0.13, np.NaN, 5.07], - [np.NaN, 2.31, np.NaN, 5.71], - [1.43, 3.74, np.NaN, 6.15], - [3.54, 6.53, np.NaN, 6.39], - [5.61, 8.07, np.NaN, 6.41], - [7.61, 10.53, np.NaN, 6.25], - [9.52, np.NaN, np.NaN, 5.93], - [11.34, np.NaN, np.NaN, 5.49], - [13.07, np.NaN, np.NaN, 5.0], - [14.72, 14.88, np.NaN, 4.51], - [16.29, 17.05, np.NaN, 4.08], - [17.81, 18.37, np.NaN, 3.78], - [19.29, 19.27, np.NaN, 3.63], - [20.75, 20.46, np.NaN, 3.67], - [22.2, 22.61, np.NaN, 3.92], - [23.63, 23.54, np.NaN, 4.38], - [25.06, 25.25, np.NaN, 5.02], - [26.45, 25.95, np.NaN, 5.82], - [27.82, 28.06, np.NaN, 6.74], - [np.NaN, 29.55, np.NaN, 7.74], - [30.06, np.NaN, np.NaN, 8.77], + [np.nan, -8.66, np.nan, 1.18], + [np.nan, -6.29, np.nan, 2.28], + [-5.07, -4.31, np.nan, 3.32], + [-2.7, -1.95, np.nan, 4.26], + [np.nan, -0.13, np.nan, 5.07], + [np.nan, 2.31, np.nan, 5.71], + [1.43, 3.74, np.nan, 6.15], + [3.54, 6.53, np.nan, 6.39], + [5.61, 8.07, np.nan, 6.41], + [7.61, 10.53, np.nan, 6.25], + [9.52, np.nan, np.nan, 5.93], + [11.34, np.nan, np.nan, 5.49], + [13.07, np.nan, np.nan, 5.0], + [14.72, 14.88, np.nan, 4.51], + [16.29, 17.05, np.nan, 4.08], + [17.81, 18.37, np.nan, 3.78], + [19.29, 19.27, np.nan, 3.63], + [20.75, 20.46, np.nan, 3.67], + [22.2, 22.61, np.nan, 3.92], + [23.63, 23.54, np.nan, 4.38], + [25.06, 25.25, np.nan, 5.02], + [26.45, 25.95, np.nan, 5.82], + [27.82, 28.06, np.nan, 6.74], + [np.nan, 29.55, np.nan, 7.74], + [30.06, np.nan, np.nan, 8.77], ] ), equal_nan=True, @@ -143,31 +143,31 @@ def test_butterworth_lowpass_remove_seqs_true(example_xy_filter: XY) -> None: np.round(data_filt, 2), np.array( [ - [np.NaN, np.NaN, np.NaN, 1.18], - [np.NaN, np.NaN, np.NaN, 2.28], - [np.NaN, np.NaN, np.NaN, 3.32], - [np.NaN, np.NaN, np.NaN, 4.26], - [np.NaN, np.NaN, np.NaN, 5.07], - [np.NaN, np.NaN, np.NaN, 5.71], - [1.43, np.NaN, np.NaN, 6.15], - [3.54, np.NaN, np.NaN, 6.39], - [5.61, np.NaN, np.NaN, 6.41], - [7.61, np.NaN, np.NaN, 6.25], - [9.52, np.NaN, np.NaN, 5.93], - [11.34, np.NaN, np.NaN, 5.49], - [13.07, np.NaN, np.NaN, 5.0], - [14.72, np.NaN, np.NaN, 4.51], - [16.29, np.NaN, np.NaN, 4.08], - [17.81, np.NaN, np.NaN, 3.78], - [19.29, np.NaN, np.NaN, 3.63], - [20.75, np.NaN, np.NaN, 3.67], - [22.2, np.NaN, np.NaN, 3.92], - [23.63, np.NaN, np.NaN, 4.38], - [25.06, np.NaN, np.NaN, 5.02], - [26.45, np.NaN, np.NaN, 5.82], - [27.82, np.NaN, np.NaN, 6.74], - [np.NaN, np.NaN, np.NaN, 7.74], - [np.NaN, np.NaN, np.NaN, 8.77], + [np.nan, np.nan, np.nan, 1.18], + [np.nan, np.nan, np.nan, 2.28], + [np.nan, np.nan, np.nan, 3.32], + [np.nan, np.nan, np.nan, 4.26], + [np.nan, np.nan, np.nan, 5.07], + [np.nan, np.nan, np.nan, 5.71], + [1.43, np.nan, np.nan, 6.15], + [3.54, np.nan, np.nan, 6.39], + [5.61, np.nan, np.nan, 6.41], + [7.61, np.nan, np.nan, 6.25], + [9.52, np.nan, np.nan, 5.93], + [11.34, np.nan, np.nan, 5.49], + [13.07, np.nan, np.nan, 5.0], + [14.72, np.nan, np.nan, 4.51], + [16.29, np.nan, np.nan, 4.08], + [17.81, np.nan, np.nan, 3.78], + [19.29, np.nan, np.nan, 3.63], + [20.75, np.nan, np.nan, 3.67], + [22.2, np.nan, np.nan, 3.92], + [23.63, np.nan, np.nan, 4.38], + [25.06, np.nan, np.nan, 5.02], + [26.45, np.nan, np.nan, 5.82], + [27.82, np.nan, np.nan, 6.74], + [np.nan, np.nan, np.nan, 7.74], + [np.nan, np.nan, np.nan, 8.77], ] ), equal_nan=True, @@ -201,7 +201,7 @@ def test_butterworth_lowpass_short_remove_seqs_true( # Assert assert np.array_equal( data_filt, - np.array([[np.NaN, np.NaN, np.NaN], [np.NaN, np.NaN, np.NaN]]), + np.array([[np.nan, np.nan, np.nan], [np.nan, np.nan, np.nan]]), equal_nan=True, ) @@ -246,31 +246,31 @@ def test_savgol_lowpass_remove_seqs_false(example_xy_filter: XY) -> None: np.round(data_filt, 2), np.array( [ - [np.NaN, -8.64, np.NaN, 1], - [np.NaN, -6.39, np.NaN, 2], - [-5.07, -4.17, np.NaN, 3], - [-2.7, -2.13, np.NaN, 4], - [np.NaN, 0.11, np.NaN, 5], - [np.NaN, 1.97, np.NaN, 6], - [1.6, 4.17, np.NaN, 7], - [4.86, 6.12, np.NaN, 8.17], - [7.42, 8.34, np.NaN, 8.66], - [8.98, 10.46, np.NaN, 8.17], - [10.64, np.NaN, np.NaN, 7], - [11.88, np.NaN, np.NaN, 6], - [13.49, np.NaN, np.NaN, 5], - [14.81, 14.88, np.NaN, 4], - [16.11, 17.07, np.NaN, 3], - [17.2, 18.35, np.NaN, 1.83], - [18.58, 19.27, np.NaN, 1.34], - [20.23, 20.7, np.NaN, 1.83], - [21.76, 22.25, np.NaN, 3], - [23.02, 23.86, np.NaN, 4], - [24.33, 24.89, np.NaN, 5], - [25.67, 26.33, np.NaN, 6], - [27.15, 27.81, np.NaN, 7], - [np.NaN, 29.61, np.NaN, 8], - [30.06, np.NaN, np.NaN, 9], + [np.nan, -8.64, np.nan, 1], + [np.nan, -6.39, np.nan, 2], + [-5.07, -4.17, np.nan, 3], + [-2.7, -2.13, np.nan, 4], + [np.nan, 0.11, np.nan, 5], + [np.nan, 1.97, np.nan, 6], + [1.6, 4.17, np.nan, 7], + [4.86, 6.12, np.nan, 8.17], + [7.42, 8.34, np.nan, 8.66], + [8.98, 10.46, np.nan, 8.17], + [10.64, np.nan, np.nan, 7], + [11.88, np.nan, np.nan, 6], + [13.49, np.nan, np.nan, 5], + [14.81, 14.88, np.nan, 4], + [16.11, 17.07, np.nan, 3], + [17.2, 18.35, np.nan, 1.83], + [18.58, 19.27, np.nan, 1.34], + [20.23, 20.7, np.nan, 1.83], + [21.76, 22.25, np.nan, 3], + [23.02, 23.86, np.nan, 4], + [24.33, 24.89, np.nan, 5], + [25.67, 26.33, np.nan, 6], + [27.15, 27.81, np.nan, 7], + [np.nan, 29.61, np.nan, 8], + [30.06, np.nan, np.nan, 9], ] ), equal_nan=True, @@ -290,31 +290,31 @@ def test_savgol_lowpass_remove_seqs_true(example_xy_filter: XY) -> None: np.round(data_filt, 2), np.array( [ - [np.NaN, -8.64, np.NaN, 1], - [np.NaN, -6.39, np.NaN, 2], - [np.NaN, -4.17, np.NaN, 3], - [np.NaN, -2.13, np.NaN, 4], - [np.NaN, 0.11, np.NaN, 5], - [np.NaN, 1.97, np.NaN, 6], - [1.6, 4.17, np.NaN, 7], - [4.86, 6.12, np.NaN, 8.17], - [7.42, 8.34, np.NaN, 8.66], - [8.98, 10.46, np.NaN, 8.17], - [10.64, np.NaN, np.NaN, 7], - [11.88, np.NaN, np.NaN, 6], - [13.49, np.NaN, np.NaN, 5], - [14.81, 14.88, np.NaN, 4], - [16.11, 17.07, np.NaN, 3], - [17.2, 18.35, np.NaN, 1.83], - [18.58, 19.27, np.NaN, 1.34], - [20.23, 20.7, np.NaN, 1.83], - [21.76, 22.25, np.NaN, 3], - [23.02, 23.86, np.NaN, 4], - [24.33, 24.89, np.NaN, 5], - [25.67, 26.33, np.NaN, 6], - [27.15, 27.81, np.NaN, 7], - [np.NaN, 29.61, np.NaN, 8], - [np.NaN, np.NaN, np.NaN, 9], + [np.nan, -8.64, np.nan, 1], + [np.nan, -6.39, np.nan, 2], + [np.nan, -4.17, np.nan, 3], + [np.nan, -2.13, np.nan, 4], + [np.nan, 0.11, np.nan, 5], + [np.nan, 1.97, np.nan, 6], + [1.6, 4.17, np.nan, 7], + [4.86, 6.12, np.nan, 8.17], + [7.42, 8.34, np.nan, 8.66], + [8.98, 10.46, np.nan, 8.17], + [10.64, np.nan, np.nan, 7], + [11.88, np.nan, np.nan, 6], + [13.49, np.nan, np.nan, 5], + [14.81, 14.88, np.nan, 4], + [16.11, 17.07, np.nan, 3], + [17.2, 18.35, np.nan, 1.83], + [18.58, 19.27, np.nan, 1.34], + [20.23, 20.7, np.nan, 1.83], + [21.76, 22.25, np.nan, 3], + [23.02, 23.86, np.nan, 4], + [24.33, 24.89, np.nan, 5], + [25.67, 26.33, np.nan, 6], + [27.15, 27.81, np.nan, 7], + [np.nan, 29.61, np.nan, 8], + [np.nan, np.nan, np.nan, 9], ] ), equal_nan=True, @@ -344,7 +344,7 @@ def test_savgol_lowpass_short_remove_seqs_true(example_xy_filter_short: XY) -> N # Assert assert np.array_equal( data_filt, - np.array([[np.NaN, np.NaN, np.NaN], [np.NaN, np.NaN, np.NaN]]), + np.array([[np.nan, np.nan, np.nan], [np.nan, np.nan, np.nan]]), equal_nan=True, ) diff --git a/tests/test_vis/conftest.py b/tests/test_vis/conftest.py index df7cbb09..5d6b38b5 100644 --- a/tests/test_vis/conftest.py +++ b/tests/test_vis/conftest.py @@ -1,8 +1,10 @@ -import matplotlib.pyplot as plt -import numpy as np import pytest +import numpy as np +import matplotlib +matplotlib.use('agg') +import matplotlib.pyplot as plt # noqa: 402 -from floodlight.core.xy import XY +from floodlight.core.xy import XY # noqa: 402 @pytest.fixture() diff --git a/tests/test_vis/test_pitches.py b/tests/test_vis/test_pitches.py index ae47ec7d..b6054884 100644 --- a/tests/test_vis/test_pitches.py +++ b/tests/test_vis/test_pitches.py @@ -1,9 +1,10 @@ -import matplotlib -import matplotlib.pyplot as plt -import numpy as np import pytest +import numpy as np +import matplotlib +matplotlib.use('agg') +import matplotlib.pyplot as plt # noqa: 402 -from floodlight.vis.pitches import plot_handball_pitch, plot_football_pitch +from floodlight.vis.pitches import plot_handball_pitch, plot_football_pitch # noqa: 402 # Test def plot_*_pitch( diff --git a/tests/test_vis/test_positions.py b/tests/test_vis/test_positions.py index 91d6243e..92c2c027 100644 --- a/tests/test_vis/test_positions.py +++ b/tests/test_vis/test_positions.py @@ -1,8 +1,9 @@ -import matplotlib -import matplotlib.pyplot as plt import pytest +import matplotlib +matplotlib.use('agg') +import matplotlib.pyplot as plt # noqa: 402 -from floodlight.vis.positions import plot_positions, plot_trajectories +from floodlight.vis.positions import plot_positions, plot_trajectories # noqa: 402 # Test plot_positions( xy, frame: int, ball: bool, ax: matplotlib.axes, **kwargs) diff --git a/tests/test_vis/test_utils.py b/tests/test_vis/test_utils.py index d437660d..6fa6ce00 100644 --- a/tests/test_vis/test_utils.py +++ b/tests/test_vis/test_utils.py @@ -1,8 +1,9 @@ -import matplotlib -from matplotlib import pyplot as plt import pytest +import matplotlib +matplotlib.use('agg') +from matplotlib import pyplot as plt # noqa: 402 -from floodlight.vis.utils import check_axes_given +from floodlight.vis.utils import check_axes_given # noqa: 402 # Test check_axes_given(func