This file will become your README and also the index of your documentation.

Install

pip install shot_chart

How to use

We first create a pandas dataframe from the source data.

shots_2019 = make_df(untar_data(URLs.SHOTS_2019))

Listing teams for the season

list_teams(shots_2019)

0            Atlanta
1            Orlando
183       Sacramento
184             Utah
341         Oklahoma
343     Golden State
511           Denver
512      New Orleans
675        Milwaukee
1016        Portland
1224         Phoenix
1226        Brooklyn
1412     San Antonio
1413         Memphis
1934         Toronto
2119    Philadelphia
2296       Minnesota
2477       LA Lakers
2655         Houston
2656     LA Clippers
2843       Charlotte
3017          Boston
3018      Washington
3383         Detroit
3918           Miami
5020       Cleveland
5535         Indiana
6407        New York
6410         Chicago
8473          Dallas
Name: team, dtype: object

Listing players who took at least 1 shot for a particular team

list_team_players(shots_2019, 'Portland')

	shots_by	count
2	CJ McCollum	1212
5	Damian Lillard	1158
4	Carmelo Anthony	678
7	Hassan Whiteside	676
0	Anfernee Simons	522
6	Gary Trent	349
9	Kent Bazemore	322
10	Mario Hezonja	188
13	Rodney Hood	172
15	Trevor Ariza	159
12	Nassir Little	151
14	Skal Labissière	147
1	Anthony Tolliver	117
3	Caleb Swanigan	43
8	Jaylen Hoard	32
16	Wenyen Gabriel	29
17	Zach Collins	19
11	Moses Brown	10

Plotting team shot distribution

houston = TeamShots(shots_2019,"Houston")

houston.plot_shots()

houston.plot_shots(date_range=((2020,1,3), (2020,1,11)))

Please check the extra options when using the plotting functions

portland_20191125 = TeamShots(shots_2019,"Portland")

portland_20191125.list_game_ids(2019,11,25)

	game_id	winner	loser
45560	201911250CHI	Portland	Chicago

portland_20191125.plot_shots("201911250CHI")

Plotting player shot distribution

player_shots = PlayerShots(shots_2019,"Anthony Davis")

player_shots.plot_shots()

dlo = PlayerShots(shots_2019,"D'Angelo Russell")

dlo.plot_shots()

dlo.plot_shots(distance_limit=(16,26),attempt="2-pointer")

dlo.plot_effective(most_or_least="most")

dlo.plot_effective(most_or_least="most",exclude=["0ft"])

dlo.plot_effective(most_or_least="most",min_shots="auto",exclude=['2ft'])

dlo.plot_effective(most_or_least="least")

dlo.plot_effective(most_or_least="least",min_shots="auto")