updated loading structure
Browse files- nba_tracking_data_15_16.py +42 -6
nba_tracking_data_15_16.py
CHANGED
@@ -53,6 +53,14 @@ for game in items[0:2]:
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name = game['name'][:-3]
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_URLS[name] = _URL + "/" + name + ".7z"
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def identify_offense(row):
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identified_offense_events = [1, 2, 3, 4, 5]
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if row['EVENTMSGTYPE'] in identified_offense_events:
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@@ -76,7 +84,20 @@ class NbaTracking(datasets.GeneratorBasedBuilder):
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{
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"gameid": datasets.Value("string"),
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"gamedate": datasets.Value("string"),
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"visitor": {
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"name": datasets.Value("string"),
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"teamid": datasets.Value("int64"),
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@@ -172,8 +193,7 @@ class NbaTracking(datasets.GeneratorBasedBuilder):
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def _generate_examples(self, filepaths, split):
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# TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
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# The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
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-
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pbp_out = dl_manager.download_and_extract(_PBP_URL)
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pbp = pd.read_csv(pbp_out)
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moment_id = 0
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@@ -196,11 +216,11 @@ class NbaTracking(datasets.GeneratorBasedBuilder):
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event_away_desc = event_row["AWAYDESCRIPTION"]
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primary_home_away = event_row["PERSON1TYPE"]
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primary_player_id = event_row["PLAYER1_ID"]
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primary_team_id = event_row["PLAYER1_TEAM_ID"]
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secondary_home_away = event_row["PERSON2TYPE"]
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secondary_player_id = event_row["PLAYER2_ID"]
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secondary_team_id = event_row["PLAYER2_TEAM_ID"]
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@@ -241,7 +261,23 @@ class NbaTracking(datasets.GeneratorBasedBuilder):
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yield moment_id, {
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"gameid": game_id,
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"gamedate": game_date,
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"visitor": {
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"name": visitor_name,
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"teamid": visitor_team_id,
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name = game['name'][:-3]
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_URLS[name] = _URL + "/" + name + ".7z"
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def home_away_event_conversion(number):
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if number == 4:
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return "home"
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elif number == 5:
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return "away"
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else:
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return None
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def identify_offense(row):
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identified_offense_events = [1, 2, 3, 4, 5]
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if row['EVENTMSGTYPE'] in identified_offense_events:
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{
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"gameid": datasets.Value("string"),
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"gamedate": datasets.Value("string"),
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"event_info": {"id": datasets.Value("string"),
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"type": datasets.Value("int64"),
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"possession_team_id": datasets.Value("int64"),
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"desc_home": datasets.Value("string"),
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"desc_away": datasets.Value("string")
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},
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"primary_info": {"team": datasets.Value("string"),
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"player_id": datasets.Value("int64"),
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"team_id": datasets.Value("int64")
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},
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"secondary_info": {"team": datasets.Value("string"),
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"player_id": datasets.Value("int64"),
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"team_id": datasets.Value("int64")
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},
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"visitor": {
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"name": datasets.Value("string"),
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"teamid": datasets.Value("int64"),
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def _generate_examples(self, filepaths, split):
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# TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
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# The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
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pbp_out = datasets.DownloadManager().download_and_extract(_PBP_URL)
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pbp = pd.read_csv(pbp_out)
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moment_id = 0
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event_away_desc = event_row["AWAYDESCRIPTION"]
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primary_home_away = home_away_event_conversion(event_row["PERSON1TYPE"])
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primary_player_id = event_row["PLAYER1_ID"]
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primary_team_id = event_row["PLAYER1_TEAM_ID"]
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secondary_home_away = home_away_event_conversion(event_row["PERSON2TYPE"])
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secondary_player_id = event_row["PLAYER2_ID"]
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secondary_team_id = event_row["PLAYER2_TEAM_ID"]
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yield moment_id, {
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"gameid": game_id,
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"gamedate": game_date,
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"event_info": {
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"id": event_id,
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"type": event_type,
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"possession_team_id": poss_team_id,
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"desc_home": event_home_desc,
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"desc_away": event_away_desc
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},
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"primary_info": {
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"team": primary_home_away,
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"player_id": primary_player_id,
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"team_id": primary_team_id
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},
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"secondary_info": {
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"team": secondary_home_away,
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"player_id": secondary_player_id,
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"team_id": secondary_team_id
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},
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"visitor": {
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"name": visitor_name,
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"teamid": visitor_team_id,
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