![]() ![]() Returns dataframe with combine results for years and positions specified : required, list of years to pull data for (earliest available is 1999) nfl.import_combine_data(years, positions) Returns dataframe with schedule information for years specified Returns dataframe with color/logo/etc information for all NFL team nfl.import_schedules(years) Returns relative values by generic draft pick according to various popular valuation methods nfl.import_team_desc() : optional, list of years to pull nfl.import_draft_values() Returns list of draft picks for the years specified : optional, list of years to pull nfl.import_draft_picks(years) Returns official information by game for the years specified : optional, list of years to pull nfl.import_officials(years) Returns scoring lines for years specified : optional, list of years to pull nfl.import_sc_lines(years) Returns win total lines for years specified : optional, list of columns to pull data for nfl.import_win_totals(years) Returns roster information for years and columns specified Returns seasonal data, including various calculated market share statsĪdditional data imports nfl.import_rosters(years, columns) Working with seasonal data nfl.import_seasonal_data(years) Returns list of columns available in weekly dataset Will slow down initial load speed ~50% nfl.see_weekly_cols() : converts float64 columns to float32, reducing memory usage by ~30%. Returns weekly data for the years and columns specified Working with weekly data nfl.import_weekly_data(years, columns, downcast) Returns list of columns available in play-by-play dataset Will slow down initial load speed ~50% nfl.see_pbp_cols() ![]() : 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 Working with play-by-play data nfl.import_pbp_data(years, columns, downcast=True) Nfl play by play data player install#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. ![]()
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