Sportec¶

Load local event files¶

In [1]:

from kloppy import sportec

dataset = sportec.load_event(
    event_data="../../kloppy/tests/files/sportec_events.xml",
    meta_data="../../kloppy/tests/files/sportec_meta.xml",
    
    # Optional arguments
    coordinates="sportec",
    event_types=["pass", "shot"]
)

dataset.to_df().head()

from kloppy import sportec dataset = sportec.load_event( event_data="../../kloppy/tests/files/sportec_events.xml", meta_data="../../kloppy/tests/files/sportec_meta.xml", # Optional arguments coordinates="sportec", event_types=["pass", "shot"] ) dataset.to_df().head()

Out[1]:

	event_id	event_type	result	success	period_id	timestamp	end_timestamp	ball_state	ball_owning_team	team_id	player_id	coordinates_x	coordinates_y	end_coordinates_x	end_coordinates_y	receiver_player_id	set_piece_type	body_part_type
0	17364900000006	PASS	COMPLETE	True	1	0.000	None	alive	None	DFL-CLU-000004	DFL-OBJ-0000SP	56.41	68.00	77.75	38.71	DFL-OBJ-0000ZS	KICK_OFF	None
1	17364900000007	PASS	COMPLETE	True	1	3.123	None	alive	None	DFL-CLU-000004	DFL-OBJ-0000ZS	73.94	37.21	NaN	NaN	DFL-OBJ-002G3I	None	None
2	17364900000014	PASS	COMPLETE	True	1	31.797	None	alive	None	DFL-CLU-00000A	DFL-OBJ-00017V	35.57	68.00	21.24	28.58	DFL-OBJ-0027B9	THROW_IN	None
3	17364900000031	SHOT	BLOCKED	False	1	79.480	None	alive	None	DFL-CLU-000004	DFL-OBJ-002706	21.24	28.58	NaN	NaN	None	None	RIGHT_FOOT
4	17364900000036	PASS	INCOMPLETE	False	1	95.173	None	alive	None	DFL-CLU-000004	DFL-OBJ-002G3I	8.72	4.21	NaN	NaN	None	None	None

Load local tracking files¶

In [3]:

from kloppy import sportec


dataset = sportec.load_tracking(
    raw_data="../../kloppy/tests/files/sportec_positional.xml",
    meta_data="../../kloppy/tests/files/sportec_meta.xml",
    
    # Optional arguments
    coordinates="sportec",
    only_alive=False
)

dataset.to_df().head()

from kloppy import sportec dataset = sportec.load_tracking( raw_data="../../kloppy/tests/files/sportec_positional.xml", meta_data="../../kloppy/tests/files/sportec_meta.xml", # Optional arguments coordinates="sportec", only_alive=False ) dataset.to_df().head()

Out[3]:

	period_id	timestamp	frame_id	ball_state	ball_owning_team_id	ball_x	ball_y	ball_z	ball_speed	DFL-OBJ-002G3I_x	...	DFL-OBJ-002G3I_d	DFL-OBJ-002G3I_s	DFL-OBJ-002G5S_x	DFL-OBJ-002G5S_y	DFL-OBJ-002G5S_d	DFL-OBJ-002G5S_s	DFL-OBJ-002FVJ_x	DFL-OBJ-002FVJ_y	DFL-OBJ-002FVJ_d	DFL-OBJ-002FVJ_s
0	1	0.00	10000	dead	DFL-CLU-000004	2.69	0.26	0.06	0.00	0.35	...	None	0.00	NaN	NaN	None	NaN	NaN	NaN	None	NaN
1	1	0.04	10001	alive	DFL-CLU-00000A	3.41	0.26	0.08	65.59	0.34	...	None	1.74	NaN	NaN	None	NaN	NaN	NaN	None	NaN
2	1	0.08	10002	alive	DFL-CLU-000004	4.22	0.33	0.09	65.16	0.32	...	None	1.76	NaN	NaN	None	NaN	NaN	NaN	None	NaN
3	1	0.12	10003	alive	DFL-CLU-000004	5.02	0.38	0.09	74.34	0.31	...	None	1.78	NaN	NaN	None	NaN	NaN	NaN	None	NaN
4	1	0.16	10004	alive	DFL-CLU-000004	5.79	0.44	0.08	73.58	0.29	...	None	1.80	NaN	NaN	None	NaN	NaN	NaN	None	NaN

5 rows × 21 columns

In [ ]: