mirror of
https://github.com/apachecn/ailearning.git
synced 2026-04-23 18:13:05 +08:00
525 lines
70 KiB
Markdown
525 lines
70 KiB
Markdown
# 探索 NBA 数据
|
||
|
||
我们首先安装 `Goldsberry` 包，项目源地址：
|
||
|
||
[https://github.com/bradleyfay/py-Goldsberry](https://github.com/bradleyfay/py-Goldsberry)
|
||
|
||
使用 `pip` 安装：
|
||
|
||
```py
|
||
pip install py-goldsberry
|
||
```
|
||
|
||
该包的接口与 `pandas` 兼容，可以与 `pandas` 的 `DataFrame` 一起使用。
|
||
|
||
In [1]:
|
||
|
||
```py
|
||
import goldsberry as gb
|
||
import pandas as pd
|
||
|
||
```
|
||
|
||
当前使用的版本号为：
|
||
|
||
In [2]:
|
||
|
||
```py
|
||
gb.__version__
|
||
|
||
```
|
||
|
||
Out[2]:
|
||
|
||
```py
|
||
'0.8.0.1'
|
||
```
|
||
|
||
## 球员信息
|
||
|
||
获得 `2015-2016` 赛季运动员的名单：
|
||
|
||
In [3]:
|
||
|
||
```py
|
||
players = gb.PlayerList().players()
|
||
players = pd.DataFrame(players)
|
||
|
||
players.head()
|
||
|
||
```
|
||
|
||
Out[3]:
|
||
|
||
| | DISPLAY_LAST_COMMA_FIRST | FROM_YEAR | GAMES_PLAYED_FLAG | PERSON_ID | PLAYERCODE | ROSTERSTATUS | TEAM_ABBREVIATION | TEAM_CITY | TEAM_CODE | TEAM_ID | TEAM_NAME | TO_YEAR |
|
||
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
|
||
| 0 | Acy, Quincy | 2012 | Y | 203112 | quincy_acy | 1 | SAC | Sacramento | kings | 1610612758 | Kings | 2015 |
|
||
| 1 | Adams, Jordan | 2014 | Y | 203919 | jordan_adams | 1 | MEM | Memphis | grizzlies | 1610612763 | Grizzlies | 2015 |
|
||
| 2 | Adams, Steven | 2013 | Y | 203500 | steven_adams | 1 | OKC | Oklahoma City | thunder | 1610612760 | Thunder | 2015 |
|
||
| 3 | Afflalo, Arron | 2007 | Y | 201167 | arron_afflalo | 1 | NYK | New York | knicks | 1610612752 | Knicks | 2015 |
|
||
| 4 | Ajinca, Alexis | 2008 | Y | 201582 | alexis_ajinca | 1 | NOP | New Orleans | pelicans | 1610612740 | Pelicans | 2015 |
|
||
|
||
球员总数为：
|
||
|
||
In [4]:
|
||
|
||
```py
|
||
print len(players)
|
||
|
||
```
|
||
|
||
```py
|
||
464
|
||
|
||
```
|
||
|
||
通过查询特定的 `TEAM_ABBREVIATION`，我们可以查看某个球队本赛季的球员，比如 `2014-2015` 赛季的总冠军金州勇士 `GSW`：
|
||
|
||
In [5]:
|
||
|
||
```py
|
||
gsw_players = players.ix[players["TEAM_ABBREVIATION"] == "GSW"]
|
||
|
||
gsw_players[["DISPLAY_LAST_COMMA_FIRST", "FROM_YEAR", "TEAM_ABBREVIATION", "TEAM_CITY", "TEAM_NAME", "PERSON_ID"]]
|
||
|
||
```
|
||
|
||
Out[5]:
|
||
|
||
| | DISPLAY_LAST_COMMA_FIRST | FROM_YEAR | TEAM_ABBREVIATION | TEAM_CITY | TEAM_NAME | PERSON_ID |
|
||
| --- | --- | --- | --- | --- | --- | --- |
|
||
| 30 | Barbosa, Leandro | 2003 | GSW | Golden State | Warriors | 2571 |
|
||
| 33 | Barnes, Harrison | 2012 | GSW | Golden State | Warriors | 203084 |
|
||
| 52 | Bogut, Andrew | 2005 | GSW | Golden State | Warriors | 101106 |
|
||
| 86 | Clark, Ian | 2013 | GSW | Golden State | Warriors | 203546 |
|
||
| 103 | Curry, Stephen | 2009 | GSW | Golden State | Warriors | 201939 |
|
||
| 135 | Ezeli, Festus | 2012 | GSW | Golden State | Warriors | 203105 |
|
||
| 164 | Green, Draymond | 2012 | GSW | Golden State | Warriors | 203110 |
|
||
| 209 | Iguodala, Andre | 2004 | GSW | Golden State | Warriors | 2738 |
|
||
| 262 | Livingston, Shaun | 2004 | GSW | Golden State | Warriors | 2733 |
|
||
| 263 | Looney, Kevon | 2015 | GSW | Golden State | Warriors | 1626172 |
|
||
| 279 | McAdoo, James Michael | 2014 | GSW | Golden State | Warriors | 203949 |
|
||
| 377 | Rush, Brandon | 2008 | GSW | Golden State | Warriors | 201575 |
|
||
| 398 | Speights, Marreese | 2008 | GSW | Golden State | Warriors | 201578 |
|
||
| 414 | Thompson, Jason | 2008 | GSW | Golden State | Warriors | 201574 |
|
||
| 415 | Thompson, Klay | 2011 | GSW | Golden State | Warriors | 202691 |
|
||
|
||
## 球员比赛数据
|
||
|
||
通过 `DISPLAY_LAST_COMMA_FIRST`，我们来查询宣布本赛季之后退役的科比布莱恩特（`Kobe, Bryant`）的信息：
|
||
|
||
In [6]:
|
||
|
||
```py
|
||
kobe = players.ix[players["DISPLAY_LAST_COMMA_FIRST"].str.contains("Kobe")]
|
||
|
||
kobe
|
||
|
||
```
|
||
|
||
Out[6]:
|
||
|
||
| | DISPLAY_LAST_COMMA_FIRST | FROM_YEAR | GAMES_PLAYED_FLAG | PERSON_ID | PLAYERCODE | ROSTERSTATUS | TEAM_ABBREVIATION | TEAM_CITY | TEAM_CODE | TEAM_ID | TEAM_NAME | TO_YEAR |
|
||
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
|
||
| 64 | Bryant, Kobe | 1996 | Y | 977 | kobe_bryant | 1 | LAL | Los Angeles | lakers | 1610612747 | Lakers | 2015 |
|
||
|
||
为了方便，我们将 `Kobe` 的 `ID` 放到变量中去：
|
||
|
||
In [7]:
|
||
|
||
```py
|
||
kobe_id = 977
|
||
|
||
```
|
||
|
||
我们来看本赛季 `Kobe` 的比赛记录：
|
||
|
||
In [8]:
|
||
|
||
```py
|
||
kobe_logs = gb.player.game_logs(kobe_id)
|
||
|
||
kobe_logs = pd.DataFrame(kobe_logs.logs())
|
||
|
||
# 最近五场比赛
|
||
kobe_logs.head()
|
||
|
||
```
|
||
|
||
Out[8]:
|
||
|
||
| | AST | BLK | DREB | FG3A | FG3M | FG3_PCT | FGA | FGM | FG_PCT | FTA | ... | PF | PLUS_MINUS | PTS | Player_ID | REB | SEASON_ID | STL | TOV | VIDEO_AVAILABLE | WL |
|
||
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
|
||
| 0 | 3 | 0 | 6 | 7 | 3 | 0.429 | 16 | 5 | 0.313 | 4 | ... | 2 | -19 | 17 | 977 | 6 | 22015 | 1 | 3 | 1 | L |
|
||
| 1 | 0 | 0 | 4 | 14 | 4 | 0.286 | 25 | 6 | 0.240 | 4 | ... | 0 | -6 | 19 | 977 | 5 | 22015 | 0 | 0 | 1 | L |
|
||
| 2 | 4 | 1 | 1 | 14 | 4 | 0.286 | 28 | 9 | 0.321 | 3 | ... | 4 | -2 | 25 | 977 | 2 | 22015 | 0 | 2 | 1 | L |
|
||
| 3 | 2 | 0 | 9 | 11 | 4 | 0.364 | 24 | 10 | 0.417 | 4 | ... | 0 | 16 | 27 | 977 | 12 | 22015 | 2 | 1 | 1 | W |
|
||
| 4 | 5 | 0 | 3 | 11 | 7 | 0.636 | 21 | 10 | 0.476 | 12 | ... | 3 | 6 | 38 | 977 | 5 | 22015 | 2 | 2 | 1 | W |
|
||
|
||
5 rows × 27 columns
|
||
|
||
截至到全明星赛前，本赛季 `Kobe` 一共参加了 44 场比赛，其场均数据为：
|
||
|
||
In [9]:
|
||
|
||
```py
|
||
kobe_logs.Game_ID
|
||
|
||
```
|
||
|
||
Out[9]:
|
||
|
||
```py
|
||
0 0021500795
|
||
1 0021500776
|
||
2 0021500767
|
||
3 0021500747
|
||
4 0021500734
|
||
5 0021500720
|
||
6 0021500697
|
||
7 0021500662
|
||
8 0021500653
|
||
9 0021500638
|
||
10 0021500614
|
||
11 0021500608
|
||
12 0021500592
|
||
13 0021500576
|
||
14 0021500549
|
||
15 0021500539
|
||
16 0021500476
|
||
17 0021500458
|
||
18 0021500455
|
||
19 0021500440
|
||
20 0021500435
|
||
21 0021500422
|
||
22 0021500385
|
||
23 0021500370
|
||
24 0021500349
|
||
25 0021500342
|
||
26 0021500325
|
||
27 0021500308
|
||
28 0021500301
|
||
29 0021500286
|
||
30 0021500269
|
||
31 0021500263
|
||
32 0021500253
|
||
33 0021500244
|
||
34 0021500214
|
||
35 0021500201
|
||
36 0021500188
|
||
37 0021500151
|
||
38 0021500135
|
||
39 0021500095
|
||
40 0021500077
|
||
41 0021500059
|
||
42 0021500045
|
||
43 0021500031
|
||
44 0021500017
|
||
Name: Game_ID, dtype: object
|
||
```
|
||
|
||
In [10]:
|
||
|
||
```py
|
||
def show_avg_info(avg):
|
||
print "得分：{:.1f}".format(avg.ix["PTS"])
|
||
print "篮板：{:.1f}".format(avg.ix["REB"])
|
||
print "助攻：{:.1f}".format(avg.ix["AST"])
|
||
print "盖帽：{:.1f}".format(avg.ix["BLK"])
|
||
print "时间：{:.1f}".format(avg.ix["MIN"])
|
||
print "抢断：{:.1f}".format(avg.ix["STL"])
|
||
print "失误：{:.1f}".format(avg.ix["TOV"])
|
||
print "犯规：{:.1f}".format(avg.ix["PF"])
|
||
print "投篮：{:.1f}%".format(avg.ix["FGM"] * 100 / avg.ix["FGA"])
|
||
print "三分：{:.1f}%".format(avg.ix["FG3M"] * 100 / avg.ix["FG3A"])
|
||
print "罚篮：{:.1f}%".format(avg.ix["FTM"] * 100 / avg.ix["FTA"])
|
||
print "后篮板：{:.1f}".format(avg.ix["DREB"])
|
||
print "前篮板：{:.1f}".format(avg.ix["OREB"])
|
||
print "正负值：{:.1f}".format(avg.ix["PLUS_MINUS"])
|
||
|
||
show_avg_info(kobe_logs.mean())
|
||
|
||
```
|
||
|
||
```py
|
||
得分：16.9
|
||
篮板：4.2
|
||
助攻：3.4
|
||
盖帽：0.2
|
||
时间：29.3
|
||
抢断：1.0
|
||
失误：2.2
|
||
犯规：1.9
|
||
投篮：34.9%
|
||
三分：28.0%
|
||
罚篮：80.3%
|
||
后篮板：3.5
|
||
前篮板：0.7
|
||
正负值：-7.9
|
||
|
||
```
|
||
|
||
再看一下史提芬库里的场均数据（不要问我为什么跪着看球）：
|
||
|
||
In [11]:
|
||
|
||
```py
|
||
curry_id = 201939
|
||
curry_logs = gb.player.game_logs(curry_id)
|
||
curry_logs = pd.DataFrame(curry_logs.logs())
|
||
|
||
show_avg_info(curry_logs.mean())
|
||
|
||
```
|
||
|
||
```py
|
||
得分：29.8
|
||
篮板：5.3
|
||
助攻：6.6
|
||
盖帽：0.2
|
||
时间：33.9
|
||
抢断：2.1
|
||
失误：3.3
|
||
犯规：2.0
|
||
投篮：50.8%
|
||
三分：45.4%
|
||
罚篮：91.2%
|
||
后篮板：4.5
|
||
前篮板：0.9
|
||
正负值：15.5
|
||
|
||
```
|
||
|
||
当然我们也可以对比一下职业生涯的数据：
|
||
|
||
In [12]:
|
||
|
||
```py
|
||
kobe_career = gb.player.career_stats(kobe_id)
|
||
curry_career = gb.player.career_stats(curry_id)
|
||
|
||
```
|
||
|
||
职业生涯最高：
|
||
|
||
In [13]:
|
||
|
||
```py
|
||
def show_career_high(career):
|
||
career_high = pd.DataFrame(career.career_high()).ix[[0,1,5]]
|
||
print career_high[["GAME_DATE", "STAT", "STAT_VALUE", "VS_TEAM_CITY", "VS_TEAM_NAME"]]
|
||
|
||
print "Kobe"
|
||
show_career_high(kobe_career)
|
||
|
||
print "Curry"
|
||
show_career_high(curry_career)
|
||
|
||
```
|
||
|
||
```py
|
||
Kobe
|
||
GAME_DATE STAT STAT_VALUE VS_TEAM_CITY VS_TEAM_NAME
|
||
0 JAN 22 2006 PTS 81 Toronto Raptors
|
||
1 JAN 24 2010 REB 16 Toronto Raptors
|
||
5 JAN 15 2015 AST 17 Cleveland Cavaliers
|
||
Curry
|
||
GAME_DATE STAT STAT_VALUE VS_TEAM_CITY VS_TEAM_NAME
|
||
0 FEB 27 2013 PTS 54 New York Knicks
|
||
1 DEC 28 2015 REB 14 Sacramento Kings
|
||
5 DEC 27 2013 AST 16 Phoenix Suns
|
||
|
||
```
|
||
|
||
本赛季最高：
|
||
|
||
In [14]:
|
||
|
||
```py
|
||
def show_season_high(career):
|
||
career_high = pd.DataFrame(career.season_high()).ix[[0,1,5]]
|
||
print career_high[["GAME_DATE", "STAT", "STAT_VALUE", "VS_TEAM_CITY", "VS_TEAM_NAME"]]
|
||
|
||
print "Kobe"
|
||
show_season_high(kobe_career)
|
||
|
||
print "Curry"
|
||
show_season_high(curry_career)
|
||
|
||
```
|
||
|
||
```py
|
||
Kobe
|
||
GAME_DATE STAT STAT_VALUE VS_TEAM_CITY VS_TEAM_NAME
|
||
0 FEB 02 2016 PTS 38 Minnesota Timberwolves
|
||
1 FEB 04 2016 REB 12 New Orleans Pelicans
|
||
5 NOV 15 2015 AST 9 Detroit Pistons
|
||
Curry
|
||
GAME_DATE STAT STAT_VALUE VS_TEAM_CITY VS_TEAM_NAME
|
||
0 OCT 31 2015 PTS 53 New Orleans Pelicans
|
||
1 DEC 28 2015 REB 14 Sacramento Kings
|
||
5 JAN 25 2016 STL 5 San Antonio Spurs
|
||
|
||
```
|
||
|
||
## 比赛信息
|
||
|
||
In [15]:
|
||
|
||
```py
|
||
game_ids = gb.GameIDs()
|
||
game_ids = pd.DataFrame(game_ids.game_list())
|
||
|
||
game_ids.head()
|
||
|
||
```
|
||
|
||
Out[15]:
|
||
|
||
| | AST | BLK | DREB | FG3A | FG3M | FG3_PCT | FGA | FGM | FG_PCT | FTA | ... | PTS | REB | SEASON_ID | STL | TEAM_ABBREVIATION | TEAM_ID | TEAM_NAME | TOV | VIDEO_AVAILABLE | WL |
|
||
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
|
||
| 0 | 28 | 4 | 45 | 29 | 8 | 0.276 | 124 | 56 | 0.452 | 46 | ... | 147 | 64 | 22015 | 7 | DET | 1610612765 | Detroit Pistons | 11 | 1 | W |
|
||
| 1 | 30 | 2 | 36 | 23 | 9 | 0.391 | 87 | 53 | 0.609 | 34 | ... | 142 | 46 | 22015 | 9 | SAC | 1610612758 | Sacramento Kings | 15 | 1 | W |
|
||
| 2 | 34 | 2 | 30 | 21 | 9 | 0.429 | 86 | 52 | 0.605 | 13 | ... | 123 | 38 | 22015 | 10 | SAS | 1610612759 | San Antonio Spurs | 13 | 1 | W |
|
||
| 3 | 29 | 6 | 36 | 35 | 16 | 0.457 | 95 | 52 | 0.547 | 15 | ... | 131 | 46 | 22015 | 10 | GSW | 1610612744 | Golden State Warriors | 15 | 1 | W |
|
||
| 4 | 34 | 8 | 38 | 31 | 8 | 0.258 | 104 | 52 | 0.500 | 16 | ... | 122 | 46 | 22015 | 10 | SAC | 1610612758 | Sacramento Kings | 20 | 1 | L |
|
||
|
||
5 rows × 29 columns
|
||
|
||
## 获得运动员的头像
|
||
|
||
In [16]:
|
||
|
||
```py
|
||
from IPython.display import Image
|
||
|
||
Image("http://stats.nba.com/media/players/230x185/"+str(kobe_id)+".png")
|
||
|
||
```
|
||
|
||
Out[16]:
|
||
|
||
|
||
|
||
In [17]:
|
||
|
||
```py
|
||
Image("http://stats.nba.com/media/players/230x185/"+str(curry_id)+".png")
|
||
|
||
```
|
||
|
||
Out[17]:
|
||
|
||
|
||
|
||
## More
|
||
|
||
修改了 `goldsberry\player\_Player.py` 代码中的错误，使之能够查询退役球员的信息，修改后的代码在本文件夹下，放到安装目录之后下面的代码均可以运行：
|
||
|
||
In [18]:
|
||
|
||
```py
|
||
from goldsberry.player import _Player as pl_old
|
||
|
||
```
|
||
|
||
1997 年的球员列表：
|
||
|
||
In [19]:
|
||
|
||
```py
|
||
players_1997 = pl_old.PlayerList(1997)
|
||
|
||
players_1997 = pd.DataFrame(players_1997)
|
||
|
||
```
|
||
|
||
乔丹的球员 ID：
|
||
|
||
In [20]:
|
||
|
||
```py
|
||
jordan_id = players_1997["PERSON_ID"].ix[players_1997["DISPLAY_LAST_COMMA_FIRST"].str.contains("Jordan, Michael")]
|
||
jordan_id = jordan_id[jordan_id.index[0]]
|
||
jordan_id
|
||
|
||
```
|
||
|
||
Out[20]:
|
||
|
||
```py
|
||
893
|
||
```
|
||
|
||
乔丹在 1997-1998 赛季常规赛表现：
|
||
|
||
In [21]:
|
||
|
||
```py
|
||
jordan_logs_1997 = pl_old.game_logs(jordan_id, season="1997")
|
||
jordan_logs_1997 = pd.DataFrame(jordan_logs_1997.logs())
|
||
|
||
show_avg_info(jordan_logs_1997.mean())
|
||
|
||
```
|
||
|
||
```py
|
||
得分：28.7
|
||
篮板：5.8
|
||
助攻：3.5
|
||
盖帽：0.5
|
||
时间：38.9
|
||
抢断：1.7
|
||
失误：2.3
|
||
犯规：1.8
|
||
投篮：46.5%
|
||
三分：23.8%
|
||
罚篮：78.4%
|
||
后篮板：4.2
|
||
前篮板：1.6
|
||
正负值：7.3
|
||
|
||
```
|
||
|
||
乔丹在 1997-1998 赛季季后赛表现：
|
||
|
||
In [22]:
|
||
|
||
```py
|
||
jordan_logs_1997 = pl_old.game_logs(jordan_id, season="1997", seasontype=2)
|
||
jordan_logs_1997 = pd.DataFrame(jordan_logs_1997.logs())
|
||
|
||
show_avg_info(jordan_logs_1997.mean())
|
||
|
||
```
|
||
|
||
```py
|
||
得分：32.4
|
||
篮板：5.1
|
||
助攻：3.5
|
||
盖帽：0.6
|
||
时间：41.0
|
||
抢断：1.5
|
||
失误：2.1
|
||
犯规：2.2
|
||
投篮：46.2%
|
||
三分：30.2%
|
||
罚篮：81.2%
|
||
后篮板：3.5
|
||
前篮板：1.6
|
||
正负值：7.5
|
||
|
||
```
|
||
|
||
头像：
|
||
|
||
In [23]:
|
||
|
||
```py
|
||
Image("http://stats.nba.com/media/players/230x185/"+str(jordan_id)+".png")
|
||
|
||
```
|
||
|
||
Out[23]:
|
||
|
||
 |