Question

我正在尝试获取NHL赛季每场比赛的统计数据和比赛信息。我正在和Stata合作。我找到了包nhlscrapi，并编写了代码来获取特定季节的所有数据和统计数据：

# Import statements
# Notice how I import the whole modules and not the functions explicitly as given in the online example (good practice)
from nhlscrapi.games import game, cumstats
from nhlscrapi import constants
import csv


# Define season being considered:
season = 2012

# Get all stats they have defined
# Googled "get all methods of a class python" and found this:
# http://stackoverflow.com/questions/34439/finding-what-methods-an-object-has
# Also, needed to excclude some methods (ABCMeta, ...) after I checked what they do
# (I did that with: "help(cumstats.METHODNAME)") and saw that they did not contain stats
methods = [method for method in dir(cumstats) if callable(getattr(cumstats, method)) and 
                                                 method != 'ABCMeta' and 
                                                 method != 'AccumulateStats' and
                                                 method != 'ShotEventTallyBase' and
                                                 method != 'abstractmethod' and
                                                 method != 'TeamIncrementor' and
                                                 method != 'EF' and
                                                 method != 'St']

# Set up dictionary with all stats
cum_stats = {method: getattr(cumstats, method)() for method in methods}

print('All the stats:', cum_stats.keys())

# Now, look up how many games were in the regular season of the year 2012
maxgames = constants.GAME_CT_DICT[season]

# If one is interested in all the home coaches (as an example), one would first set up an empty list,
# and gradually fill it:
thingswewant_keys = ['home_coach', 'away_coach', 'home', 'away', 'attendance', 'Score', 'Fenwick']
thingswewant_values = {key: [] for key in thingswewant_keys if not key in cum_stats.keys()}
thingswewant_values.update({key+'_home': [] for key in cum_stats.keys()})
thingswewant_values.update({key+'_away': [] for key in cum_stats.keys()})

# Now, loop over all games in this season
for i in range(**12**):
    # Set up object which queries database
    # If one enters the following command in ipython: "help(game.Game)", one sees also alternative ways to set up
    # query other than the one given in the example
    ggames = game.Game(game.GameKey(season, game.GameType.Regular, i+1), cum_stats=cum_stats)

    # This object 'ggames' now contains all the information of 1 specific game.
    # To concatenate all the home coaches for example, one would do it like this

    for key in thingswewant_keys:
        if not key in cum_stats.keys():
            # First case: Information is attribute of ggames (e.g. home_coach)
            if not key in ['home', 'away', 'attendance']:
                thingswewant_values[key] += [getattr(ggames, key)]

            # Second case: Information is key of ggames.matchup (e.g. home)
            if key in ['home', 'away', 'attendance']:
                thingswewant_values[key] += [ggames.matchup[key]]

    # Third case: Information is a cum_stat
    # Figure out home_team and away team
    hometeam = ggames.matchup['home']
    awayteam = ggames.matchup['away']

    for key in cum_stats.keys():
        thingswewant_values[key+'_home'] += [ggames.cum_stats[key].total[hometeam]]
        thingswewant_values[key+'_away'] += [ggames.cum_stats[key].total[awayteam]]

# Make one single table out of all the columns
results = [tuple([key for key in thingswewant_values.keys()])]
results += zip(*[thingswewant_values[key] for key in thingswewant_values.keys()])

# Write to csv
with open('brrr.csv', 'wb') as f:
    writer = csv.writer(f)
    writer.writerows(results)

现在的问题是，在每个赛季中，在某场比赛之后，代码会停止并在出现错误后吐出：

Traceback (most recent call last):
  File "C:/Users/Dennis/Downloads/AllStatsExcell.py", line 67, in <module>
    thingswewant_values[key+'_home'] += [ggames.cum_stats[key].total[hometeam]]
  File "C:\Python27\lib\site-packages\nhlscrapi\games\game.py", line 211, in cum_stats
    return self.play_by_play.compute_stats()
  File "C:\Python27\lib\site-packages\nhlscrapi\games\playbyplay.py", line 95, in compute_stats
    for play in self._rep_reader.parse_plays_stream():
  File "C:\Python27\lib\site-packages\nhlscrapi\scrapr\rtss.py", line 56, in parse_plays_stream
    p_obj = parser.build_play(p)
  File "C:\Python27\lib\site-packages\nhlscrapi\scrapr\rtss.py", line 130, in build_play
    p['vis_on_ice'] = self.__skaters(skater_tab[0][0]) if len(skater_tab) else { }
  File "C:\Python27\lib\site-packages\nhlscrapi\scrapr\rtss.py", line 159, in __skaters
    if pl[0].text.isdigit():
AttributeError: 'NoneType' object has no attribute 'isdigit'

在2012赛季，这发生在第12场比赛之后。因此，我只是参加2012赛季的第12场比赛。

ggames1=game.Game(game.GameKey(2012, game.GameType.Regular, 12),cum_stats=cum_stats
ggames1.cum_stats['ShootOut'].total

例如，在ShootOut中，它会崩溃。但如果我再次运行此行，我会得到结果。

我不知道如何解决这个问题。

如果我能得到所有游戏的csv文件，即使有一些缺失的值，我也会非常高兴。

Answer 1

首先，您需要自己做一些调试。该错误明确指出：

文件“C：/Users/Dennis/Downloads/AllStatsExcell.py”，第67行，in thingswewant_values [key +'_ home'] + = [ggames.cum_stats [key] .total [hometeam]]

这意味着您的程序第67行出现错误。在底部，它显示了该错误：

AttributeError：'NoneType'对象没有属性'isdigit'

这意味着您尝试获取isdigit对象值的属性NoneType。正如您可能猜测的那样，NoneType个对象没有任何内容。

这是违规行，以及前面的块：

for key in cum_stats.keys():
    thingswewant_values[key+'_home'] += [ggames.cum_stats[key].total[hometeam]]

您想要做的事情可能如下：

for key in cum_stats.keys():
    try:
        thingswewant_values[key+'_home'] += [ggames.cum_stats[key].total[hometeam]]
    except Exception as e:
        print(e)
        print("key={}".format(key)
        print("hometeam={}".format(hometeam)
        print("ggames.cumstats={}".format(s[key].total[hometeam])

这是一个基本的错误捕获块。第一个打印行应该告诉你异常。以下内容告诉您在违规行中使用的各种内容的状态。你的工作是找出哪个是NoneType（它可能不是我提供的那个）然后，在那之后，找出它为NoneType的原因。基本上：查看您拥有的数据并尝试在该块中进行操作。它缺少一些东西。

nhlscrapi - 下载数据错误

1 个答案: