From 7b681ce4df4553c146dd8277ef91bec3dfcbc077 Mon Sep 17 00:00:00 2001 From: saiemgilani Date: Sun, 3 Sep 2023 01:33:51 -0400 Subject: [PATCH] downgrade polars version --- CHANGELOG.md | 2 +- README.md | 3 +- .../_build/doctrees/environment.pickle | Bin 2102372 -> 2105077 bytes docs/src/pages/CHANGELOG.md | 2 +- setup.py | 4 +- sportsdataverse/cfb/cfb_pbp.py | 127 ++++++++++++------ sportsdataverse/nfl/nfl_pbp.py | 72 +++++----- 7 files changed, 126 insertions(+), 84 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index cba0a4b..fb1cd63 100755 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,4 +1,4 @@ -## 0.0.38 Release: August 28, 2023 +## 0.0.38-39 Release: August 28, 2023 - Minor changes to cfb_pbp functions to improve WP calculation and player parsing. ## 0.0.36-37 Release: July 9, 2023 diff --git a/README.md b/README.md index ada78c8..53b5e40 100755 --- a/README.md +++ b/README.md @@ -2,7 +2,8 @@ ![Lifecycle:experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg?style=for-the-badge&logo=github) -[![PyPI](https://img.shields.io/pypi/v/sportsdataverse?label=sportsdataverse&logo=python&style=for-the-badge)](https://pypi.org/project/sportsdataverse/) +[![PyPI](https://img.shields.io/pypi/v/sportsdataverse?label=sportsdataverse&logo=python&style=for-the-badge)](https://pypi.org/project/sportsdataverse/)PyPI - Down
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zQ=Q&61d>I7wmjtdd0GnyJ(LUu{Pur!Wo6}QFaIfJV30AY2fUsyOX{*ALHS=4X_Y!z zT`9P11fZjpNV{eESNj#k2*1X_SZ~;wof0mTAP@b@gDr~v2A_jKLna{NwTEZd+=?)p ze^^WRSN_6YTe=bPQZ#QUo0Ceb@itz_PSSXtj8|5ywGkOhYimi5b^&8A7h(wLg^q7G zvV>$_rn4~uflut(Q+FC{|EY5|X?Ten&i6lCAaP^fpIHC$_uicxzx&{iId`5sxcfPB K=h~Hk?N2D diff --git a/docs/src/pages/CHANGELOG.md b/docs/src/pages/CHANGELOG.md index cba0a4b..fb1cd63 100755 --- a/docs/src/pages/CHANGELOG.md +++ b/docs/src/pages/CHANGELOG.md @@ -1,4 +1,4 @@ -## 0.0.38 Release: August 28, 2023 +## 0.0.38-39 Release: August 28, 2023 - Minor changes to cfb_pbp functions to improve WP calculation and player parsing. ## 0.0.36-37 Release: July 9, 2023 diff --git a/setup.py b/setup.py index 1ecf875..a3508fc 100755 --- a/setup.py +++ b/setup.py @@ -47,7 +47,7 @@ # Versions should comply with PEP440. For a discussion on single-sourcing # the version across setup.py and the project code, see # https://packaging.python.org/en/latest/single_source_version.html - version="0.0.38", + version="0.0.39", description="Retrieve Sports data in Python", long_description=long_description, long_description_content_type="text/markdown", @@ -101,7 +101,7 @@ install_requires=[ "numpy>=1.13.0", "pandas>= 1.0.3", - "polars>=0.19.0", + "polars<=0.18.15", "tqdm>=4.50.0", "beautifulsoup4>=4.4.0", "inflection>=0.5.1", diff --git a/sportsdataverse/cfb/cfb_pbp.py b/sportsdataverse/cfb/cfb_pbp.py index a4a77c9..808bab2 100755 --- a/sportsdataverse/cfb/cfb_pbp.py +++ b/sportsdataverse/cfb/cfb_pbp.py @@ -460,41 +460,82 @@ def __helper_cfb_pbp_features(self, pbp_txt, init): .get_column("id") .to_list() ) + # end_timeouts = pbp_txt["plays"].select( + # ( + # 3 + # - pl.struct(["id", "period.number"]).apply( + # lambda x: ( + # sum( + # (i <= x.struct.field("id")) & (x.struct.field("period.number") <= 2) + # for i in pbp_txt["timeouts"][int(init["homeTeamId"])]["1"] + # ) + # ) + # | ( + # sum( + # (i <= x.struct.field("id")) & (x.struct.field("period.number") > 2) + # for i in pbp_txt["timeouts"][int(init["homeTeamId"])]["2"] + # ) + # ), + # return_dtype=pl.Int64, + # ) + # ).alias("end.homeTeamTimeouts"), + # ( + # 3 + # - pl.struct(["id", "period.number"]).apply( + # lambda x: ( + # sum( + # (i <= x.struct.field("id")) & (x.struct.field("period.number") <= 2) + # for i in pbp_txt["timeouts"][int(init["awayTeamId"])]["1"] + # ) + # ) + # | ( + # sum( + # (i <= x.struct.field("id")) & (x.struct.field("period.number") > 2) + # for i in pbp_txt["timeouts"][int(init["awayTeamId"])]["2"] + # ) + # ), + # return_dtype=pl.Int64, + # ) + # ).alias("end.awayTeamTimeouts"), + # ) + # pbp_txt["plays"] = pbp_txt["plays"].join(end_timeouts, on=["id", "period.number"], how="left") pbp_txt["plays"] = ( pbp_txt["plays"] .with_columns( ( 3 - - pl.struct(pl.col(["id", "period.number"])).map_elements( + - pl.struct(["id", "period.number"]).apply( lambda x: ( sum( - (i <= x["id"]) & (x["period.number"] <= 2) + (i <= x.struct.field("id")) & (x.struct.field("period.number") <= 2) for i in pbp_txt["timeouts"][int(init["homeTeamId"])]["1"] ) ) | ( sum( - (i <= x["id"]) & (x["period.number"] > 2) + (i <= x.struct.field("id")) & (x.struct.field("period.number") > 2) for i in pbp_txt["timeouts"][int(init["homeTeamId"])]["2"] ) ), + return_dtype=pl.Int64, ) ).alias("end.homeTeamTimeouts"), ( 3 - - pl.struct(pl.col(["id", "period.number"])).map_elements( + - pl.struct(["id", "period.number"]).apply( lambda x: ( sum( - (i <= x["id"]) & (x["period.number"] <= 2) + (i <= x.struct.field("id")) & (x.struct.field("period.number") <= 2) for i in pbp_txt["timeouts"][int(init["awayTeamId"])]["1"] ) ) | ( sum( - (i <= x["id"]) & (x["period.number"] > 2) + (i <= x.struct.field("id")) & (x.struct.field("period.number") > 2) for i in pbp_txt["timeouts"][int(init["awayTeamId"])]["2"] ) ), + return_dtype=pl.Int64, ) ).alias("end.awayTeamTimeouts"), ) @@ -2506,11 +2547,11 @@ def __add_player_cols(self, play_df): .otherwise(None), ) .with_columns( - punt_block_return_player=pl.struct(["punt_block_player", "punt_block_return_player"]).map_elements( - lambda cols: cols["punt_block_return_player"] + punt_block_return_player=pl.struct(["punt_block_player", "punt_block_return_player"]).apply( + lambda cols: cols.struct.field("punt_block_return_player") .replace(r"(?i)(.+)blocked by", "") - .replace(str(pl.format(r"(?i)blocked by {}", cols["punt_block_player"])), "") - if cols["punt_block_return_player"] is not None + .replace(str(pl.format(r"(?i)blocked by {}", cols.struct.field("punt_block_player"))), "") + if cols.struct.field("punt_block_return_player") is not None else None, return_dtype=pl.Utf8, ) @@ -3834,7 +3875,7 @@ def create_box_score(self, play_df): # pass_box.yds_receiving.fillna(0.0, inplace=True) passer_box = ( pass_box.fill_null(0.0) - .group_by(by=["pos_team", "passer_player_name"]) + .groupby(by=["pos_team", "passer_player_name"]) .agg( Comp=pl.col("completion").sum(), Att=pl.col("pass_attempt").sum(), @@ -3860,7 +3901,7 @@ def create_box_score(self, play_df): & (pl.col("athlete_name").is_in(qbs_list)) ) pass_qbr = ( - pass_qbr_box.group_by(by=["pos_team", "athlete_name"]) + pass_qbr_box.groupby(by=["pos_team", "athlete_name"]) .agg( qbr_epa=(pl.col("qbr_epa") * pl.col("weight")).sum() / pl.col("weight").sum(), sack_epa=(pl.col("sack_epa") * pl.col("sack_weight")).sum() / pl.col("sack_weight").sum(), @@ -3883,7 +3924,7 @@ def create_box_score(self, play_df): rusher_box = ( rush_box.fill_null(0.0) - .group_by(by=["pos_team", "rusher_player_name"]) + .groupby(by=["pos_team", "rusher_player_name"]) .agg( Car=pl.col("rush").sum(), Yds=pl.col("yds_rushed").sum(), @@ -3903,7 +3944,7 @@ def create_box_score(self, play_df): receiver_box = ( pass_box.fill_null(0.0) - .group_by(by=["pos_team", "receiver_player_name"]) + .groupby(by=["pos_team", "receiver_player_name"]) .agg( Rec=pl.col("completion").sum(), Tar=pl.col("target").sum(), @@ -3922,7 +3963,7 @@ def create_box_score(self, play_df): ) team_base_box = ( - play_df.group_by(by=["pos_team"]) + play_df.groupby(by=["pos_team"]) .agg( EPA_plays=pl.col("play").sum(), total_yards=pl.col("statYardage").sum(), @@ -3934,7 +3975,7 @@ def create_box_score(self, play_df): team_pen_box = ( play_df.filter(pl.col("penalty_flag") == True) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( total_pen_yards=pl.col("statYardage").sum(), EPA_penalty=pl.col("EPA_penalty").sum(), @@ -3947,7 +3988,7 @@ def create_box_score(self, play_df): team_scrimmage_box = ( play_df.filter(pl.col("scrimmage_play") == True) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( scrimmage_plays=pl.col("scrimmage_play").sum(), EPA_overall_off=pl.col("EPA").sum(), @@ -3968,7 +4009,7 @@ def create_box_score(self, play_df): team_sp_box = ( play_df.filter(pl.col("sp") == True) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( special_teams_plays=pl.col("sp").sum(), EPA_sp=pl.col("EPA_sp").sum(), @@ -3987,7 +4028,7 @@ def create_box_score(self, play_df): team_scrimmage_box_pass = ( play_df.filter((pl.col("pass") == True) & (pl.col("scrimmage_play") == True)) .fill_null(0.0) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( passes=pl.col("pass").sum(), pass_yards=pl.col("yds_receiving").sum(), @@ -4008,7 +4049,7 @@ def create_box_score(self, play_df): team_scrimmage_box_rush = ( play_df.filter((pl.col("rush") == True) & (pl.col("scrimmage_play") == True)) .fill_null(0.0) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( rushes=pl.col("rush").sum(), rush_yards=pl.col("yds_rushed").sum(), @@ -4030,7 +4071,7 @@ def create_box_score(self, play_df): team_rush_base_box = ( play_df.filter((pl.col("scrimmage_play") == True)) .fill_null(0.0) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( rushes_rate=pl.col("rush").mean(), first_downs_created=pl.col("first_down_created").sum(), @@ -4043,7 +4084,7 @@ def create_box_score(self, play_df): team_rush_power_box = ( play_df.filter((pl.col("power_rush_attempt") == True) & (pl.col("scrimmage_play") == True)) .fill_null(0.0) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_rushing_power=pl.col("EPA").sum(), EPA_rushing_power_per_play=pl.col("EPA").mean(), @@ -4066,7 +4107,7 @@ def create_box_score(self, play_df): team_rush_box = ( play_df.filter((pl.col("rush") == True) & (pl.col("scrimmage_play") == True)) .fill_null(0.0) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( rushing_stuff=pl.col("stuffed_run").sum(), rushing_stuff_rate=pl.col("stuffed_run").mean(), @@ -4091,7 +4132,7 @@ def create_box_score(self, play_df): (pl.col("rush") == True) & (pl.col("scrimmage_play") == True) & (pl.col("opportunity_run") == True) ) .fill_null(0.0) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( rushing_highlight_yards_per_opp=pl.col("opp_highlight_yards").mean(), ) @@ -4115,7 +4156,7 @@ def create_box_score(self, play_df): situation_box_normal = ( play_df.filter(pl.col("scrimmage_play") == True) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_success=pl.col("EPA_success").sum(), EPA_success_rate=pl.col("EPA_success").mean(), @@ -4126,7 +4167,7 @@ def create_box_score(self, play_df): situation_box_rz = ( play_df.filter((pl.col("rz_play") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_success_rz=pl.col("EPA_success").sum(), EPA_success_rate_rz=pl.col("EPA_success").mean(), @@ -4137,7 +4178,7 @@ def create_box_score(self, play_df): situation_box_third = ( play_df.filter((pl.col("start.down") == 3) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_success_third=pl.col("EPA_success").sum(), EPA_success_rate_third=pl.col("EPA_success").mean(), @@ -4148,7 +4189,7 @@ def create_box_score(self, play_df): situation_box_pass = ( play_df.filter((pl.col("pass") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_success_pass=pl.col("EPA_success").sum(), EPA_success_pass_rate=pl.col("EPA_success").mean(), @@ -4159,7 +4200,7 @@ def create_box_score(self, play_df): situation_box_rush = ( play_df.filter((pl.col("rush") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_success_rush=pl.col("EPA_success").sum(), EPA_success_rush_rate=pl.col("EPA_success").mean(), @@ -4170,7 +4211,7 @@ def create_box_score(self, play_df): situation_box_middle8 = ( play_df.filter((pl.col("middle_8") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( middle_8=pl.col("middle_8").sum(), middle_8_pass_rate=pl.col("pass").mean(), @@ -4188,7 +4229,7 @@ def create_box_score(self, play_df): situation_box_middle8_pass = ( play_df.filter((pl.col("pass") == True) & (pl.col("middle_8") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( middle_8_pass=pl.col("pass").sum(), EPA_middle_8_pass=pl.col("EPA").sum(), @@ -4204,7 +4245,7 @@ def create_box_score(self, play_df): situation_box_middle8_rush = ( play_df.filter((pl.col("rush") == True) & (pl.col("middle_8") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( middle_8_rush=pl.col("rush").sum(), EPA_middle_8_rush=pl.col("EPA").sum(), @@ -4220,7 +4261,7 @@ def create_box_score(self, play_df): situation_box_early = ( play_df.filter((pl.col("early_down") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_success_early_down=pl.col("EPA_success").sum(), EPA_success_early_down_rate=pl.col("EPA_success").mean(), @@ -4242,7 +4283,7 @@ def create_box_score(self, play_df): play_df.filter( (pl.col("pass") == True) & (pl.col("early_down") == True) & (pl.col("scrimmage_play") == True) ) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( early_down_pass=pl.col("pass").sum(), EPA_early_down_pass=pl.col("EPA").sum(), @@ -4260,7 +4301,7 @@ def create_box_score(self, play_df): play_df.filter( (pl.col("rush") == True) & (pl.col("early_down") == True) & (pl.col("scrimmage_play") == True) ) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( early_down_rush=pl.col("rush").sum(), EPA_early_down_rush=pl.col("EPA").sum(), @@ -4276,7 +4317,7 @@ def create_box_score(self, play_df): situation_box_late = ( play_df.filter((pl.col("late_down") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_success_late_down=pl.col("EPA_success_late_down").sum(), EPA_success_late_down_pass=pl.col("EPA_success_late_down_pass").sum(), @@ -4300,7 +4341,7 @@ def create_box_score(self, play_df): situation_box_standard = ( play_df.filter((pl.col("standard_down") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_success_standard_down=pl.col("EPA_success").sum(), EPA_success_standard_down_rate=pl.col("EPA_success").mean(), @@ -4316,7 +4357,7 @@ def create_box_score(self, play_df): situation_box_passing = ( play_df.filter((pl.col("passing_down") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_success_passing_down=pl.col("EPA_success").sum(), EPA_success_passing_down_rate=pl.col("EPA_success").mean(), @@ -4358,7 +4399,7 @@ def create_box_score(self, play_df): def_base_box = ( play_df.filter(pl.col("scrimmage_play") == True) - .group_by(by=["def_pos_team"]) + .groupby(by=["def_pos_team"]) .agg( scrimmage_plays=pl.col("scrimmage_play").sum(), TFL=pl.col("TFL").sum(), @@ -4378,7 +4419,7 @@ def create_box_score(self, play_df): def_box_havoc_pass = ( play_df.filter((pl.col("pass") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["def_pos_team"]) + .groupby(by=["def_pos_team"]) .agg( num_pass_plays=pl.col("pass").sum(), havoc_total_pass=pl.col("havoc").sum(), @@ -4395,7 +4436,7 @@ def create_box_score(self, play_df): def_box_havoc_rush = ( play_df.filter((pl.col("rush") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["def_pos_team"]) + .groupby(by=["def_pos_team"]) .agg( havoc_total_rush=pl.col("havoc").sum(), havoc_total_rush_rate=pl.col("havoc").mean(), @@ -4412,7 +4453,7 @@ def create_box_score(self, play_df): turnover_box = ( play_df.filter(pl.col("scrimmage_play") == True) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( pass_breakups=pl.col("pass_breakup").sum(), fumbles_lost=pl.col("fumble_lost").sum(), @@ -4469,7 +4510,7 @@ def create_box_score(self, play_df): drives_data = ( play_df.filter(pl.col("scrimmage_play") == True) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( drive_total_available_yards=pl.col("drive_start").sum(), drive_total_gained_yards=pl.col("drive.yards").sum(), diff --git a/sportsdataverse/nfl/nfl_pbp.py b/sportsdataverse/nfl/nfl_pbp.py index bebefca..53f8bc9 100755 --- a/sportsdataverse/nfl/nfl_pbp.py +++ b/sportsdataverse/nfl/nfl_pbp.py @@ -471,7 +471,7 @@ def __helper_nfl_pbp_features(self, pbp_txt, init): .with_columns( ( 3 - - pl.struct(pl.col(["id", "period.number"])).map_elements( + - pl.struct(pl.col(["id", "period.number"])).apply( lambda x: ( sum( (i <= x["id"]) & (x["period.number"] <= 2) @@ -488,7 +488,7 @@ def __helper_nfl_pbp_features(self, pbp_txt, init): ).alias("end.homeTeamTimeouts"), ( 3 - - pl.struct(pl.col(["id", "period.number"])).map_elements( + - pl.struct(pl.col(["id", "period.number"])).apply( lambda x: ( sum( (i <= x["id"]) & (x["period.number"] <= 2) @@ -2512,7 +2512,7 @@ def __add_player_cols(self, play_df): .otherwise(None), ) .with_columns( - punt_block_return_player=pl.struct(["punt_block_player", "punt_block_return_player"]).map_elements( + punt_block_return_player=pl.struct(["punt_block_player", "punt_block_return_player"]).apply( lambda cols: cols["punt_block_return_player"] .replace(r"(?i)(.+)blocked by", "") .replace(str(pl.format(r"(?i)blocked by {}", cols["punt_block_player"])), "") @@ -3840,7 +3840,7 @@ def create_box_score(self, play_df): # pass_box.yds_receiving.fillna(0.0, inplace=True) passer_box = ( pass_box.fill_null(0.0) - .group_by(by=["pos_team", "passer_player_name"]) + .groupby(by=["pos_team", "passer_player_name"]) .agg( Comp=pl.col("completion").sum(), Att=pl.col("pass_attempt").sum(), @@ -3866,7 +3866,7 @@ def create_box_score(self, play_df): & (pl.col("athlete_name").is_in(qbs_list)) ) pass_qbr = ( - pass_qbr_box.group_by(by=["pos_team", "athlete_name"]) + pass_qbr_box.groupby(by=["pos_team", "athlete_name"]) .agg( qbr_epa=(pl.col("qbr_epa") * pl.col("weight")).sum() / pl.col("weight").sum(), sack_epa=(pl.col("sack_epa") * pl.col("sack_weight")).sum() / pl.col("sack_weight").sum(), @@ -3889,7 +3889,7 @@ def create_box_score(self, play_df): rusher_box = ( rush_box.fill_null(0.0) - .group_by(by=["pos_team", "rusher_player_name"]) + .groupby(by=["pos_team", "rusher_player_name"]) .agg( Car=pl.col("rush").sum(), Yds=pl.col("yds_rushed").sum(), @@ -3909,7 +3909,7 @@ def create_box_score(self, play_df): receiver_box = ( pass_box.fill_null(0.0) - .group_by(by=["pos_team", "receiver_player_name"]) + .groupby(by=["pos_team", "receiver_player_name"]) .agg( Rec=pl.col("completion").sum(), Tar=pl.col("target").sum(), @@ -3928,7 +3928,7 @@ def create_box_score(self, play_df): ) team_base_box = ( - play_df.group_by(by=["pos_team"]) + play_df.groupby(by=["pos_team"]) .agg( EPA_plays=pl.col("play").sum(), total_yards=pl.col("statYardage").sum(), @@ -3940,7 +3940,7 @@ def create_box_score(self, play_df): team_pen_box = ( play_df.filter(pl.col("penalty_flag") == True) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( total_pen_yards=pl.col("statYardage").sum(), EPA_penalty=pl.col("EPA_penalty").sum(), @@ -3953,7 +3953,7 @@ def create_box_score(self, play_df): team_scrimmage_box = ( play_df.filter(pl.col("scrimmage_play") == True) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( scrimmage_plays=pl.col("scrimmage_play").sum(), EPA_overall_off=pl.col("EPA").sum(), @@ -3974,7 +3974,7 @@ def create_box_score(self, play_df): team_sp_box = ( play_df.filter(pl.col("sp") == True) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( special_teams_plays=pl.col("sp").sum(), EPA_sp=pl.col("EPA_sp").sum(), @@ -3993,7 +3993,7 @@ def create_box_score(self, play_df): team_scrimmage_box_pass = ( play_df.filter((pl.col("pass") == True) & (pl.col("scrimmage_play") == True)) .fill_null(0.0) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( passes=pl.col("pass").sum(), pass_yards=pl.col("yds_receiving").sum(), @@ -4014,7 +4014,7 @@ def create_box_score(self, play_df): team_scrimmage_box_rush = ( play_df.filter((pl.col("rush") == True) & (pl.col("scrimmage_play") == True)) .fill_null(0.0) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( rushes=pl.col("rush").sum(), rush_yards=pl.col("yds_rushed").sum(), @@ -4036,7 +4036,7 @@ def create_box_score(self, play_df): team_rush_base_box = ( play_df.filter((pl.col("scrimmage_play") == True)) .fill_null(0.0) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( rushes_rate=pl.col("rush").mean(), first_downs_created=pl.col("first_down_created").sum(), @@ -4049,7 +4049,7 @@ def create_box_score(self, play_df): team_rush_power_box = ( play_df.filter((pl.col("power_rush_attempt") == True) & (pl.col("scrimmage_play") == True)) .fill_null(0.0) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_rushing_power=pl.col("EPA").sum(), EPA_rushing_power_per_play=pl.col("EPA").mean(), @@ -4072,7 +4072,7 @@ def create_box_score(self, play_df): team_rush_box = ( play_df.filter((pl.col("rush") == True) & (pl.col("scrimmage_play") == True)) .fill_null(0.0) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( rushing_stuff=pl.col("stuffed_run").sum(), rushing_stuff_rate=pl.col("stuffed_run").mean(), @@ -4097,7 +4097,7 @@ def create_box_score(self, play_df): (pl.col("rush") == True) & (pl.col("scrimmage_play") == True) & (pl.col("opportunity_run") == True) ) .fill_null(0.0) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( rushing_highlight_yards_per_opp=pl.col("opp_highlight_yards").mean(), ) @@ -4121,7 +4121,7 @@ def create_box_score(self, play_df): situation_box_normal = ( play_df.filter(pl.col("scrimmage_play") == True) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_success=pl.col("EPA_success").sum(), EPA_success_rate=pl.col("EPA_success").mean(), @@ -4132,7 +4132,7 @@ def create_box_score(self, play_df): situation_box_rz = ( play_df.filter((pl.col("rz_play") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_success_rz=pl.col("EPA_success").sum(), EPA_success_rate_rz=pl.col("EPA_success").mean(), @@ -4143,7 +4143,7 @@ def create_box_score(self, play_df): situation_box_third = ( play_df.filter((pl.col("start.down") == 3) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_success_third=pl.col("EPA_success").sum(), EPA_success_rate_third=pl.col("EPA_success").mean(), @@ -4154,7 +4154,7 @@ def create_box_score(self, play_df): situation_box_pass = ( play_df.filter((pl.col("pass") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_success_pass=pl.col("EPA_success").sum(), EPA_success_pass_rate=pl.col("EPA_success").mean(), @@ -4165,7 +4165,7 @@ def create_box_score(self, play_df): situation_box_rush = ( play_df.filter((pl.col("rush") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_success_rush=pl.col("EPA_success").sum(), EPA_success_rush_rate=pl.col("EPA_success").mean(), @@ -4176,7 +4176,7 @@ def create_box_score(self, play_df): situation_box_middle8 = ( play_df.filter((pl.col("middle_8") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( middle_8=pl.col("middle_8").sum(), middle_8_pass_rate=pl.col("pass").mean(), @@ -4194,7 +4194,7 @@ def create_box_score(self, play_df): situation_box_middle8_pass = ( play_df.filter((pl.col("pass") == True) & (pl.col("middle_8") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( middle_8_pass=pl.col("pass").sum(), EPA_middle_8_pass=pl.col("EPA").sum(), @@ -4210,7 +4210,7 @@ def create_box_score(self, play_df): situation_box_middle8_rush = ( play_df.filter((pl.col("rush") == True) & (pl.col("middle_8") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( middle_8_rush=pl.col("rush").sum(), EPA_middle_8_rush=pl.col("EPA").sum(), @@ -4226,7 +4226,7 @@ def create_box_score(self, play_df): situation_box_early = ( play_df.filter((pl.col("early_down") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_success_early_down=pl.col("EPA_success").sum(), EPA_success_early_down_rate=pl.col("EPA_success").mean(), @@ -4248,7 +4248,7 @@ def create_box_score(self, play_df): play_df.filter( (pl.col("pass") == True) & (pl.col("early_down") == True) & (pl.col("scrimmage_play") == True) ) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( early_down_pass=pl.col("pass").sum(), EPA_early_down_pass=pl.col("EPA").sum(), @@ -4266,7 +4266,7 @@ def create_box_score(self, play_df): play_df.filter( (pl.col("rush") == True) & (pl.col("early_down") == True) & (pl.col("scrimmage_play") == True) ) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( early_down_rush=pl.col("rush").sum(), EPA_early_down_rush=pl.col("EPA").sum(), @@ -4282,7 +4282,7 @@ def create_box_score(self, play_df): situation_box_late = ( play_df.filter((pl.col("late_down") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_success_late_down=pl.col("EPA_success_late_down").sum(), EPA_success_late_down_pass=pl.col("EPA_success_late_down_pass").sum(), @@ -4306,7 +4306,7 @@ def create_box_score(self, play_df): situation_box_standard = ( play_df.filter((pl.col("standard_down") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_success_standard_down=pl.col("EPA_success").sum(), EPA_success_standard_down_rate=pl.col("EPA_success").mean(), @@ -4322,7 +4322,7 @@ def create_box_score(self, play_df): situation_box_passing = ( play_df.filter((pl.col("passing_down") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( EPA_success_passing_down=pl.col("EPA_success").sum(), EPA_success_passing_down_rate=pl.col("EPA_success").mean(), @@ -4364,7 +4364,7 @@ def create_box_score(self, play_df): def_base_box = ( play_df.filter(pl.col("scrimmage_play") == True) - .group_by(by=["def_pos_team"]) + .groupby(by=["def_pos_team"]) .agg( scrimmage_plays=pl.col("scrimmage_play").sum(), TFL=pl.col("TFL").sum(), @@ -4384,7 +4384,7 @@ def create_box_score(self, play_df): def_box_havoc_pass = ( play_df.filter((pl.col("pass") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["def_pos_team"]) + .groupby(by=["def_pos_team"]) .agg( num_pass_plays=pl.col("pass").sum(), havoc_total_pass=pl.col("havoc").sum(), @@ -4401,7 +4401,7 @@ def create_box_score(self, play_df): def_box_havoc_rush = ( play_df.filter((pl.col("rush") == True) & (pl.col("scrimmage_play") == True)) - .group_by(by=["def_pos_team"]) + .groupby(by=["def_pos_team"]) .agg( havoc_total_rush=pl.col("havoc").sum(), havoc_total_rush_rate=pl.col("havoc").mean(), @@ -4418,7 +4418,7 @@ def create_box_score(self, play_df): turnover_box = ( play_df.filter(pl.col("scrimmage_play") == True) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( pass_breakups=pl.col("pass_breakup").sum(), fumbles_lost=pl.col("fumble_lost").sum(), @@ -4475,7 +4475,7 @@ def create_box_score(self, play_df): drives_data = ( play_df.filter(pl.col("scrimmage_play") == True) - .group_by(by=["pos_team"]) + .groupby(by=["pos_team"]) .agg( drive_total_available_yards=pl.col("drive_start").sum(), drive_total_gained_yards=pl.col("drive.yards").sum(),

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