def test_filter(self, dataset: EventDataset):
"""
Test filtering allows simple 'css selector' (<event_type>.<result>)
"""
goals_dataset = dataset.filter("shot.goal")
df = goals_dataset.to_pandas()
assert df["event_id"].to_list() == [
"4c7c4ab1-6b9f-4504-a237-249c2e0c549f",
"683c6752-13bc-4892-94ed-22e1c938f1f7",
"55d71847-9511-4417-aea9-6f415e279011",
]
def test_string_columns(self, dataset: EventDataset):
"""
When string columns passed to to_records the data must be searched from:
1. the output of Default()
2. attributes of the event
"""
records = dataset.filter("pass").to_records("timestamp",
"coordinates_x",
"coordinates")
assert records[0] == {
"timestamp": 0.098,
"coordinates_x": 60.5,
"coordinates": Point(x=60.5, y=40.5),
}
def test_string_wildcard_columns(self, dataset: EventDataset):
"""
Make sure it's possible to specify wildcard pattern to match attributes.
"""
records = dataset.filter("pass").to_records(
"timestamp",
"player_id",
"coordinates_*",
DistanceToGoalTransformer(),
)
assert records[0] == {
"timestamp": 0.098,
"player_id": "6581",
"coordinates_x": 60.5,
"coordinates_y": 40.5,
"distance_to_goal": 59.50210080324896,
}
