Python 如何为我的NBA模拟比赛组织数据？

我一直在努力寻找一种有效的方法，将数据存储并调用到我的程序中，这是一种NBA模拟类型的游戏。我尝试将数据保存在单独文件中的列表中，然后使用导入并在使用时调用球队球员列表

例如：

#                                           Player Stats and Skills
#      [player name     / height / strength / speed / jump / blocks / steals / dribble / pass / reb / reb aggr]

uth = [["Trey Burke",         27,        12,     82,    58,      30,      57,       79,    75,   14,      0.10],
       ["Alec Burks",         48,        27,     79,    52,      35,      39,       56,    23,   24,      0.25],
       ["Gordon Hayward",     52,        29,     58,    54,      28,      36,       52,    47,   27,      0.45],
       ["Derrick Favors",     74,        36,     37,    66,      86,      30,       29,    25,   74,      0.75],
       ["Rudy Gobert",        90,        38,     29,    36,      76,      37,       15,    29,   62,      1.00]]

lac = [["Chris Paul",         36,        40,     86,    59,      23,      98,       98,    98,   37,      0.10],
       ["J.J. Redick",        22,        14,     73,    40,      17,      35,       67,    47,   25,      0.20],
       ["Jamal Crawford",     48,        32,     76,    59,      22,      54,       91,    52,   31,      0.30],
       ["Blake Griffin",      88,        88,     75,    57,      76,      56,       43,    43,   92,      0.60],
       ["DeAndre Jordan",     96,        96,     40,    94,      96,      40,       32,    36,   96,      1.00]]

问题是我将要存储相当多的数据

然后，我尝试将Sqlite3用于python，但不知道如何将数据段存储到团队中，然后将其保存为列表，以便在代码中调用数据

我创建的数据库示例：

import sqlite3

conn = sqlite3.connect("player_info.db")
c = conn.cursor()

def createTable():
    c.execute(''' CREATE TABLE Player_Info
                  (id INTEGER PRIMARY KEY, First TEXT, Last TEXT,
                   Position TEXT, Height TEXT, Weight TEXT, Years INTEGER, College TEXT)
              ''')
    conn.commit()

def celticsPlayerInfo():
    players = [("Brandon", "Bass", "C/PF", "6'8", "250lbs", 9, "Louisiana State"),
               ("Avery", "Bradley", "SG/PG", "6'2", "180lbs", 4, "Texas"),
               ("Jae", "Crowder", "SF", "6'6", "235lbs", 2, "Marquette"),
               ("Luigi", "Datome", "SF/PF", "6'8", "215lbs", 1, "Italy"),
               ("Jonas", "Jerebko", "PF", "6'10", "231lbs", 4, "Sweden"),
               ("Kelly", "Olynyk", "C/PF", "7'0", "238lbs", 1, "Gonzaga"),
               ("Phil", "Pressey", "PG/SG", "5'11", "175lbs", 1, "Missouri"),
               ("Shavlik", "Randolph", "PF", "6'10", "236lbs", 7, "Duke"),
               ("Marcus", "Smart", "PG/SG", "6'4", "220lbs", 0, "Oklahoma State"),
               ("Jared", "Sullinger", "PF", "6'9", "260lbs", 2, "Ohio State"),
               ("Isaiah", "Thomas", "PG", "5'9", "185lbs", 3, "Washington"),
               ("Evan", "Turner", "SG/SF", "6'7", "220lbs", 4, "Ohio State"),
               ("Gerald", "Wallace", "SF", "6'7", "220lbs", 13, "Alabama"),
               ("James", "Young", "SG/SF", "6'6", "215lbs", 0, "Kentucky"),
               ("Tyler", "Zeller", "C/PF", "7'0", "253lbs", 2, "North Carolina")]

    c.executemany(''' INSERT INTO Player_Info(First, Last, Position, Height, Weight, Years, College)
                  VALUES(?,?,?,?,?,?,?)''', players)
    conn.commit()

def netsPlayerInfo():
    players = [("Alan", "Anderson", "SG/SF", "6'6", "220lbs", 5, "Michigan State"),
               ("Bojan", "Bogdanovic", "SG/SF", "6'8", "216lbs", 0, "Croatia"),
               ("Markel", "Brown", "SG", "6'3", "190lbs", 0, "Oklahoma State"),
               ("Jarrett", "Jack", "PG", "6'3", "200lbs", 9, "Georgia Tech"),
               ("Cory", "Jefferson", "SF", "6'9", "218lbs", 0, "Baylor"),
               ("Joe", "Johnson", "SF/SG", "6'7", "240lbs", 13, "Arkansas"),
               ("Jerome", "Jordan", "C", "7'0", "253lbs", 1, "Tulsa"),
               ("Sergey", "Karasev", "SG/SF", "6'7", "208lbs", 1, "Russia"),
               ("Brook", "Lopez", "C", "7'0", "275lbs", 6, "Stanford"),
               ("Darius", "Morris", "SG", "6'4", "195lbs", 3, "Michigan"),
               ("Mason", "Plumlee", "C/PF", "6'11", "235lbs", 1, "Duke"),
               ("Mirza", "Teletovic", "PF", "6'9", "242lbs", 2, "Bosnia"),
               ("Deron", "Williams", "PG", "6'3", "200lbs", 9, "Illinois"),
               ("Thaddeus", "Young", "SF/PF", "6'8", "221lbs", 7, "Georgia Tech")]

    c.executemany(''' INSERT INTO Player_Info(First, Last, Position, Height, Weight, Years, College)
                  VALUES(?,?,?,?,?,?,?)''', players)
    conn.commit()

然后我会调用数据并将其放入如下列表：

import sqlite3

conn = sqlite3.connect("player_info.db")
cursor = conn.cursor()

teams = cursor.execute("SELECT * FROM Player_Info")
teams = teams.fetchall()

test = [list(i) for i in teams]

print test

>>> print(all_teams.get('Celtics').get('Brandon Bass').weight)
250

问题是我不知道如何将这两支球队直接从数据库中分离成单独的列表，这样我就可以在比赛中操纵数据

---

我应该使用Sqlite3还是其他方法来存储数据？

我不熟悉sqlite，但您考虑过使用对象和字典吗？给每个球员对象一个名字、身高等，然后将球员放入代表他们球队的字典中，然后将每个球队放入代表联赛的字典中。这应该在Python2.7或3.x中运行

class Player(object):
    def __init__(self, first, last, position, height_feet, height_inches, weight, jump, origin):
        self.first = first
        self.last = last
        self.position = position
        self.height = height_feet*12 + height_inches
        self.weight = weight
        self.jump = jump
        self.origin = origin

all_teams = {}

all_teams['Celtics'] = {"Brandon Bass":Player('Brandon', 'Bass', 'C/PF', 6, 8, 250, 9, 'Louisiana State'),
"Avery Bradley":Player('Avery', 'Bradley', 'SG/PG', 6, 2, 180, 4, 'Texas')} # and so on

然后，要获取Brandon Bass的体重，例如，您可以执行以下操作：

import sqlite3

conn = sqlite3.connect("player_info.db")
cursor = conn.cursor()

teams = cursor.execute("SELECT * FROM Player_Info")
teams = teams.fetchall()

test = [list(i) for i in teams]

print test

>>> print(all_teams.get('Celtics').get('Brandon Bass').weight)
250

看看布兰登·巴斯比艾弗里·布拉德利高多少：

>>> print(all_teams.get('Celtics').get('Brandon Bass').height - all_teams.get('Celtics').get('Avery Bradley').height)
6

要恢复Brandon Bass的身高（以英尺和英寸为单位）：

>>> divmod(all_teams.get('Celtics').get('Brandon Bass').height, 12)
(6, 8)

---

我希望这能给你一些想法。

看看这个问题，我建议你使用ORM系统来管理数据。