感謝您對上一個問題的幫助(here)。不過,我目前仍然堅持讓我的最終數據框準備就緒。我已經能夠從原始表格中提取所有數據並將其顯示爲我想要的形式,但是現在我想將主隊和客隊添加到df中,但似乎無法弄清楚。這是我目前所擁有的,並且我想要刮掉here is the site。使用Python刮擦BeautifulSoup 4 - 初學者
from urllib.request import urlopen # import the library
from bs4 import BeautifulSoup # Import BS
from bs4 import SoupStrainer # Import Soup Strainer
import pandas as pd # import pandas as a package
basescrape = 'http://www.footywire.com/afl/footy/ft_match_statistics?mid='
matchid = '6172'
scrapeweb1 = basescrape+matchid
page = urlopen(scrapeweb1) # access the website
only_tables = SoupStrainer('table', attrs={"width" : "583"}) # parse only table elements when parsing
soup = BeautifulSoup(page, 'html.parser', parse_only=only_tables) # parse the html
only_teams = SoupStrainer('table', attrs={"width" : "376"}) # parse only team qtr score elements when parsing
soup2 = BeautifulSoup(page, 'html.parser', parse_only=only_teams) # parse the html
# only valid rows with player data in
table = soup.find_all("tr", attrs={"onmouseover" : "this.bgColor='#cbcdd0';"})
# create variables to keep the data in
hometeam = []
awayteam = []
player = []
kicks = []
handballs = []
disposals = []
marks = []
goals = []
behinds = []
tackles = []
hitouts = []
inside50s = []
freesfor = []
freesagainst = []
fantasy = []
supercoach = []
# Find all the <tr> tag pairs, skip the first one, then for each.
for row in soup.find_all("tr", attrs={"onmouseover" : "this.bgColor='#cbcdd0';"}):
# Create a variable of all the <td> tag pairs in each <tr> tag pair,
col = row.find_all('td')
# Create a variable of the string inside 1st <td> tag pair,
column_1 = col[0].string.strip()
# and append it to player variable
player.append(column_1)
# Create a variable of the string inside 2nd <td> tag pair,
column_2 = col[1].string.strip()
# and append it to kicks variable
kicks.append(column_2)
# Create a variable of the string inside 3rd <td> tag pair,
column_3 = col[2].string.strip()
# and append it to handballs variable
handballs.append(column_3)
# Create a variable of the string inside 4th <td> tag pair,
column_4 = col[3].string.strip()
# and append it to disposals variable
disposals.append(column_4)
# Create a variable of the string inside 5th <td> tag pair,
column_5 = col[4].string.strip()
# and append it to marks variable
marks.append(column_5)
# Create a variable of the string inside 5th <td> tag pair,
column_6 = col[5].string.strip()
# and append it to goals variable
goals.append(column_6)
# Create a variable of the string inside 5th <td> tag pair,
column_7 = col[6].string.strip()
# and append it to behinds variable
behinds.append(column_7)
# Create a variable of the string inside 5th <td> tag pair,
column_8 = col[7].string.strip()
# and append it to tackles variable
tackles.append(column_8)
# Create a variable of the string inside 5th <td> tag pair,
column_9 = col[8].string.strip()
# and append it to hitouts variable
hitouts.append(column_9)
# Create a variable of the string inside 5th <td> tag pair,
column_10 = col[9].string.strip()
# and append it to inside50s variable
inside50s.append(column_10)
# Create a variable of the string inside 5th <td> tag pair,
column_11 = col[10].string.strip()
# and append it to freesfo variable
freesfor.append(column_11)
# Create a variable of the string inside 5th <td> tag pair,
column_12 = col[11].string.strip()
# and append it to freesagainst variable
freesagainst.append(column_12)
# Create a variable of the string inside 5th <td> tag pair,
column_13 = col[12].string.strip()
# and append it to fantasy variable
fantasy.append(column_13)
# Create a variable of the string inside 5th <td> tag pair,
column_14 = col[13].string.strip()
# and append it to supercoach variable
supercoach.append(column_14)
# Find all the <tr> tag pairs, then for each.
for row in soup2.find_all("tr", class_= "leftbold"):
# Create a variable of all the <td> tag pairs in each <tr> tag pair,
col2 = row.find_all('td')
# Create a variable of the string inside 1st <td> tag pair,
hometeam = col2[0].string.strip()
# and append it to player variable
# hometeam.append(column2_1)
# Create a variable of the string inside 2nd <td> tag pair,
awayteam = col2[1].string.strip()
# and append it to kicks variable
# awayteam.append(column2_2)
# Create a variable of the value of the columns
columns = {'match_id': matchid, 'home_team': hometeam, 'away_team': awayteam, 'player': player, 'kicks': kicks, 'handballs': handballs, 'disposals': disposals, 'marks': marks, 'goals': goals, 'behinds': behinds, 'tackles': tackles, 'hitouts': hitouts, 'inside_50s': inside50s, 'frees_for': freesfor, 'frees_against': freesagainst, 'fantasy': fantasy, 'supercoach': supercoach}
# Create a dataframe from the columns variable - n
df = pd.DataFrame(columns, columns = ['match_id', 'home_team', 'away_team', 'player', 'kicks', 'handballs', 'disposals', 'marks', 'goals', 'behinds', 'tackles', 'hitouts', 'inside_50s', 'frees_for', 'frees_against', 'fantasy', 'supercoach'])
print(df)
# print(soup.prettify())
# print(table)
很顯然,數據幀不會工作,因爲數組並非全部長度相同。我該如何刮擦主客場球隊並將其保存到一個變量中,以使其以與matchid相同的方式工作?
還有一種方法可以讓「hometeam」變量出現在前22行,而「awayteam」出現在第23-44行?這樣的球員歸因於一個團隊?
我覺得我在這裏做這部分錯誤:
# Find all the <tr> tag pairs, then for each.
for row in soup2.find_all("tr", class_= "leftbold"):
# Create a variable of all the <td> tag pairs in each <tr> tag pair,
col2 = row.find_all('td')
# Create a variable of the string inside 1st <td> tag pair,
hometeam = col2[0].string.strip()
# and append it to player variable
# hometeam.append(column2_1)
# Create a variable of the string inside 2nd <td> tag pair,
awayteam = col2[1].string.strip()
# and append it to kicks variable
# awayteam.append(column2_2)
非常感謝您的幫助。
(還有一個額外的問題,我無法使用「.join」運算符來運行scrapeweb1,因爲我已閱讀過在字符串中使用「+」不是最佳做法。失敗,低於)
scrapeweb1 = "".join(basescrape, matchid)
編輯:所以我檢查了源和它似乎有在該表中一些不正確的HTML ...
<table border="0" cellspacing="0" cellpadding="0" width="376" id="matchscoretable">
<tr>
<th class="leftbold" height="23" width="100">Team</td>
它使用「/ TD」,而不是「/th「,當通過美麗的湯分析時會導致表格標籤關閉...
[<table border="0" cellpadding="0" cellspacing="0" id="matchscoretable" width="376">
<tr>
<th class="leftbold" height="23" width="100">Team</th></tr></table>]
我可能要看看獲得主場和客場的球隊名字的另一種方式
非常感謝您花時間做到這一點,這是我的理解,這刮擦了所有的數據,並把它放在一個很好的數據框? 編輯:我只是設法得到一些時間來運行它,哇,這是多麼整潔!非常感謝您的幫助。對不起,這樣的痛苦,但你能幫我理解每一行嗎?我拼命地嘗試改進我的python編碼。 – MSalty
我的理解到目前爲止(使用「players_list = []」作爲第1行) 1.創建一個名爲「players_list」的空變量 2.查看「團隊」中的每個「團隊」BS元素 3.團隊名稱是由頭部分配,由空格分開,返回第一個值(團隊名稱) 4.然後定義一個新的BS元素,它是我們要刮的實際表中的行 5.分配每行的標題爲DF創建標籤 6.創建一個循環遍歷表中的每一行 7.創建另一個循環,將每列的值賦給標題並將其存儲在「player_dict」中... – MSalty
8.檢索將每個'td'括號中的每個值存儲在正確的標籤中9。在'player_dict'中創建一個名爲'team'的新列,並將其分配到行 10.將完成的行添加到「player_list」變量 11.創建播放列表的數據框 這一切是否正確?我錯過了某人嗎? 再次感謝。 – MSalty