正在研究一个足球刮痧python程序,并在stackoverflow上找到了适合我需要的程序, Python Beautifulsoup4 website parsing
我要做的是修改它只返回特定日期或日期集的分数,只是无法弄清楚如何做到这一点。但这只会返回每个日期的每个结果。 谢谢, MAL
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答案 0 :(得分:0)
您需要从标题标记中检索日期并添加一些逻辑以检查,例如,所需日期的列表。
使用正则表达式从标题标记字符串中检索日期并将其转换为日期时间对象:
date_pattern = re.compile(r'(\d{1,2})\w{2}\s([\w]+\s\d{4})') # pattern
played_date = re.findall(date_pattern, played_tag.get_text()) # find pattern in caption tag string played_tag
played_date = ' '.join(played_date[0])
played_date = datetime.strptime(played_date, '%d %B %Y') # convert it into datetime object
并定义您想要抓取的日期列表:
list_of_dates = ['2017-01-07', '2017-01-06'] # put all dates to be print here
def dates_to_datetime(dates):
""" Converts a list of date strings to a list of datetime objects """
datetime_objs = []
for d in dates:
datetime_objs.append(datetime.strptime(d, '%Y-%m-%d'))
return datetime_objs
list_of_dates = dates_to_datetime(list_of_dates) # converts list_of_dates to list of datetime objects
最后,您需要添加一个if语句来检查从标题标记字符串中检索的日期是否在您的日期列表中:
# check if retrieved date is in list_of_dates
if played_date in list_of_dates:
这是完整的例子:
import re
from datetime import datetime
from bs4 import BeautifulSoup
import urllib2
import csv
list_of_dates = ['2017-01-07', '2017-01-06'] # put all dates to be print here
def dates_to_datetime(dates):
""" Converts a list of date strings to a list of datetime objects """
datetime_objs = []
for d in dates:
datetime_objs.append(datetime.strptime(d, '%Y-%m-%d'))
return datetime_objs
list_of_dates = dates_to_datetime(list_of_dates) # converts list_of_dates to list of datetime objects
date_pattern = re.compile(r'(\d{1,2})\w{2}\s([\w]+\s\d{4})') # date pattern in <caption> tag i.e.: 9th January 2017
url = 'http://www.bbc.co.uk/sport/football/fa-cup/results'
page = urllib2.urlopen(url).read()
soup = BeautifulSoup(page)
league = 'FA'
for games in soup.find_all('table', class_='table-stats'):
played_tag = games.find('caption')
# retrieve date from caption tag
played_date = re.findall(date_pattern, played_tag.get_text())
played_date = ' '.join(played_date[0])
played_date = datetime.strptime(played_date, '%d %B %Y')
# check if retrieved date is in list_of_dates
if played_date in list_of_dates:
played = played_tag and ''.join(played_tag.stripped_strings)
print played
for match in soup.find_all('td', class_='match-details'):
home_tag = match.find('span', class_='team-home')
home = home_tag and ''.join(home_tag.stripped_strings)
score_tag = match.find('span', class_='score')
score = score_tag and ''.join(score_tag.stripped_strings)
away_tag = match.find('span', class_='team-away')
away = away_tag and ''.join(away_tag.stripped_strings)
if ( score.split('-')[0] > score.rsplit('-')[1] ):
home_win = 1
else:
home_win = 0
if (score.rsplit('-')[1] > score.split('-')[0] ):
away_win = 1
else:
away_win = 0
if home and score and away:
print league,',',home,',',home_win,',',score
print league,',',away,',',away_win,',',score
else:
pass
答案 1 :(得分:0)
感谢@Benjamin让我走上了正确的轨道,为了检查第二个循环中的日期,对他的答案稍作修改,我知道它是低效的,因为它将遍历所选择的每个日期的所有数据但它确实实现了我的最终目标。
import re
from datetime import datetime
from bs4 import BeautifulSoup
import urllib2
import csv
list_of_dates = ['2016-11-06', '2016-11-05'] # put all dates to be print here
def dates_to_datetime(dates):
""" Converts a list of date strings to a list of datetime objects """
datetime_objs = []
for d in dates:
datetime_objs.append(datetime.strptime(d, '%Y-%m-%d'))
return datetime_objs
list_of_dates = dates_to_datetime(list_of_dates) # converts list_of_dates to list of datetime objects
date_pattern = re.compile(r'(\d{1,2})\w{2}\s([\w]+\s\d{4})') # date pattern in <caption> tag i.e.: 9th January 2017
url = 'http://www.bbc.co.uk/sport/football/fa-cup/results'
page = urllib2.urlopen(url).read()
soup = BeautifulSoup(page)
league = 'FA'
for games in soup.find_all('table', class_='table-stats'):
played_tag = games.find('caption')
# retrieve date from caption tag
played_date = re.findall(date_pattern, played_tag.get_text())
played_date = ' '.join(played_date[0])
played_date = datetime.strptime(played_date, '%d %B %Y')
# check if retrieved date is in list_of_dates
if played_date in list_of_dates:
for match in soup.find_all('td', class_='match-details'):
# get parent match date
match_date = match.parent.parent.parent.caption
if match_date == played_tag:
home_tag = match.find('span', class_='team-home')
home = home_tag and ''.join(home_tag.stripped_strings)
score_tag = match.find('span', class_='score')
score = score_tag and ''.join(score_tag.stripped_strings)
away_tag = match.find('span', class_='team-away')
away = away_tag and ''.join(away_tag.stripped_strings)
if ( score.split('-')[0] > score.rsplit('-')[1] ):
home_win = 1
else:
home_win = 0
if (score.rsplit('-')[1] > score.split('-')[0] ):
away_win = 1
else:
away_win = 0
if home and score and away:
print played_date, ',', league,',',home,',',home_win
print played_date, ',', league,',',away,',',away_win
else:
pass
答案 2 :(得分:0)
这是更好的,因为它不会仅仅通过所有游戏循环。
import re
from datetime import datetime
from bs4 import BeautifulSoup
import urllib2
import csv
f = open('/FACup.csv', 'wt')
writer = csv.writer(f)
list_of_dates = ['2017-01-09', '2017-01-08', '2017-01-07', '2017-01-06'] # put all dates to be print here
def dates_to_datetime(dates):
""" Converts a list of date strings to a list of datetime objects """
datetime_objs = []
for d in dates:
datetime_objs.append(datetime.strptime(d, '%Y-%m-%d'))
return datetime_objs
list_of_dates = dates_to_datetime(list_of_dates) # converts list_of_dates to list of datetime objects
date_pattern = re.compile(r'(\d{1,2})\w{2}\s([\w]+\s\d{4})') # date pattern in <caption> tag i.e.: 9th January 2017
url = 'http://www.bbc.co.uk/sport/football/fa-cup/results'
page = urllib2.urlopen(url).read()
soup = BeautifulSoup(page)
league = 'FA'
for games in soup.find_all('table', class_='table-stats'):
played_tag = games.find('caption')
# retrieve date from caption tag
played_date = re.findall(date_pattern, played_tag.get_text())
played_date = ' '.join(played_date[0])
played_date = datetime.strptime(played_date, '%d %B %Y')
# check if retrieved date is in list_of_dates
if played_date in list_of_dates:
for match in games.find_all('td', class_='match-details'):
home_tag = match.find('span', class_='team-home')
home = home_tag and ''.join(home_tag.stripped_strings)
score_tag = match.find('span', class_='score')
score = score_tag and ''.join(score_tag.stripped_strings)
away_tag = match.find('span', class_='team-away')
away = away_tag and ''.join(away_tag.stripped_strings)
if ( score.split('-')[0] > score.rsplit('-')[1] ):
home_win = 1
else:
home_win = 0
if (score.rsplit('-')[1] > score.split('-')[0] ):
away_win = 1
else:
away_win = 0
if home and score and away:
writer.writerow( (league, played_date.strftime('%Y-%m-%d'), home, home_win, 'H') )
writer.writerow( (league, played_date.strftime('%Y-%m-%d'), away, away_win, 'A') )
else:
pass
f.close()