cache_pbp ( years, downcast = True, alt_path = None )Ĭaches play-by-play data locally to speed up download time. : optional use thread pool to read files, default FalseĪdditional features nfl. : optional, convert float64 to float32, default True This dataĬreative Commons license and attribution must be made to FTN Data via nflverse Season onwards and is charted within 48 hours following each game. import_ftn_data ( years, columns = None, downcast = True, thread_requests = False )įTN Data manually charts plays and has graciously provided a subset of theirĬharting data to be published via the nflverse. ![]() : optional, list of years to return data for nfl. Returns dataframe with snap count records : optional, years to return data for nfl. Returns a dataframe of per-game data sourced from players' advanced gamelog pages on. : required, the type of stat data to request. Returns a dataframe of season-aggregated data sourced from players' pages on. : optional, frequency to return data for, weekly or season, default season nfl. : optional, competition level to return data for, nfl or college, default nfl : required, type of stats to pull (passing, rushing, receiving) Returns dataframe with specified NGS data ![]() Returns dataframe with mapped ids for all players across most major NFL and fantasy football data platforms : optional, list of positions to be pulled (standard format - WR/QB/RB/etc.) nfl. : optional, list or range of years to pull data from Returns dataframe with combine results for years and positions specified import_combine_data ( years, positions ) : required, list of years to pull data for (earliest available is 1999) nfl. Returns dataframe with schedule information for years specified Returns dataframe with color/logo/etc information for all NFL team nfl. Returns relative values by generic draft pick according to various popular valuation methods nfl. Returns list of draft picks for the years specified Returns official information by game for the years specified Returns scoring lines for years specified Returns win total lines for years specified : optional, list of columns to pull data for nfl. Returns per-game roster information for the seasons specified import_weekly_rosters ( years, columns ) Returns yearly roster information for the seasons specified import_seasonal_rosters ( years, columns ) : optional (default 'REG') season type to include in average ('ALL','REG','POST')Ĭalculated receiving market share stats include: Columnĭominator rating, but weighted in favor of receiving yards over TDsĪdditional data imports nfl. Returns seasonal data, including various calculated market share stats specific to receivers Returns list of columns available in weekly dataset Will slow down initial load speed ~50% nfl. : converts float64 columns to float32, reducing memory usage by ~30%. Returns weekly data for the years and columns specified import_weekly_data ( years, columns, downcast ) Returns list of columns available in play-by-play dataset : optional, required if nfl.cache_pbp() is called using an alternate path to the default cache nfl. : optional, determines whether to pull pbp data from github repo or local cache generated by nfl.cache_pbp() : optional, converts float64 columns to float32, reducing memory usage by ~30%. : optional, list of columns to pull data for ![]() : required, list of years to pull data for (earliest available is 1999) Returns play-by-play data for the years and columns specified import_pbp_data ( years, columns, downcast = True, cache = False, alt_path = None ) Use the package manager pip to install nfl_data_py. Includes import functions for play-by-play data, weekly data, seasonal data, rosters, win totals, scoring lines, officials, draft picks, draft pick values, schedules, team descriptive info, combine results and id mappings across various sites. Nfl_data_py is a Python library for interacting with NFL data sourced from nflfastR, nfldata, dynastyprocess, and Draft Scout.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |