我無法在 dataframe 中添加兩列

Question

我正在嘗試在 dataframe 中添加兩列。 我無法檢查他們的屬性。 我怎樣才能了解它？

import re
import textwrap
import pandas as pd
import numpy as np
import requests
from bs4 import BeautifulSoup
from pandas import DataFrame

URL = "https://www.soccerbase.com/teams/team.sd?team_id=536&comp_id=1&teamTabs=results"
# URL = "http://worldpopulationreview.com/countries/countries-by-gdp/"
r = requests.get(URL)

# soup = BeautifulSoup(r.content, 'html.parser')
soup = BeautifulSoup(r.content, 'html.parser')

table = soup.find('table', {'class': 'soccerGrid'})


def rowgetdatatext(tr, coltag='td', true=None):  # td (data) or th (header)
    cols = []
    for td in tr.find_all(coltag):
        cols.append(td.get_text(strip=true))
    return cols


def tabledatatext(table):
    rows = []
    trs = table.find_all('tr')
    headerow = rowgetdatatext(trs[0], 'th')
    if headerow:  # if there is a header row include first
        rows.append(headerow)
        trs = trs[1:]
    for tr in trs:  # for every table row
        rows.append(rowgetdatatext(tr, 'td'))  # data row
    return rows


d = tabledatatext(table)

pd.set_option('display.width', 400)
pd.set_option('display.max_columns', 20)
df = pd.DataFrame(d)

Frame = pd.DataFrame(df.values,
                     columns=["Competition", "Date", "Omit", "Home Team", "Score", "Away Team", "Omit",
                              "Omit", "Omit", "DateKeep"
                              ])
Frame = Frame.drop(columns=["Omit", "Date"])
Frame = Frame.drop([0, 1], axis=0)

Frame[['Home Score', 'Away Score']] = Frame['Score'].str.split('-', expand=True)
Frame = Frame.drop(columns="Score")
Frame = Frame[["Competition", "Home Team", "Home Score", "Away Team", "Away Score",
               "DateKeep"]]

Frame['Home Team'] = Frame['Home Team'].str[:-20]
Frame['Away Team'] = Frame['Away Team'].str[:-20]
Frame['DateKeep'] = Frame['DateKeep'].str[3:]
Frame['Competition'] = Frame['Competition'].str[:-18]

# Frame['Home Score'] = Frame['Home Score'].str.split()
# Frame['Away Score'] = Frame['Away Score'].str.split()

# pd.to_numeric(Frame['Away Score'], errors='coerce')
F2 = Frame.index(Frame)
print(Frame)
print(F2)

樣品 output 是：

比賽 主隊 主隊 客隊 客場 比分 DateKeep 2 英超 英超 曼聯 4 切爾西 0 2019-08-11 16:30 3 歐洲超級杯 歐洲超級杯 利物浦 2 切爾西 2 2019-08-14 20:00 4 英超英超切爾西 1 萊斯特 1 2019-08-18 16:30 5 英超 英超 諾維奇 2 切爾西 3 2019-08-24 12:30 6 英超 英超 切爾西 2 謝夫聯 2 2019-08-31 15:00 7英超 英超 狼隊 2 切爾西 5 2019-09-14 15:00

如果我想添加 Home Score 和 Away Score 列，它會連接這兩個值而不是相加。 我在哪里沒有得到它？ 謝謝編輯：添加當前 output 和所需 output 的屏幕截圖在此處輸入圖像描述

Answer 1

我將使用其中一個分數列的長度來收集每列感興趣的值的列表，以將其他列列表大小限制為相同。 然后 zip 這些列表並轉換為 df。 如果您已將先前的分數列轉換為整數，則可以計算最后兩列。

import pandas as pd
import requests
from bs4 import BeautifulSoup as bs

headers = ['Competition','Home Team','Home Score','Away Team','Away Score','Date Keep','Total Score (Home + Away Score)','Goal Difference (Home - Away Score)']
r = requests.get('https://www.soccerbase.com/teams/team.sd?team_id=536&comp_id=1&teamTabs=results')
soup = bs(r.content, 'lxml')

h_scores = [int(i.text) for i in soup.select('.score a em:first-child')]
a_scores = [int(i.text) for i in soup.select('.score a em + em')]
total_scores = [h+a for h,a in zip(h_scores, a_scores)]
diff_scores = [h-a for h,a in zip(h_scores, a_scores)]
limit = len(a_scores)
comps = [i.text for i in soup.select('.tournament a', limit=limit)]
dates = [i.text for i in soup.select('.dateTime .hide', limit=limit)]
h_teams = [i.text for i in soup.select('.homeTeam a', limit=limit)]
a_teams = [i.text for i in soup.select('.awayTeam a', limit=limit)]

df = pd.DataFrame(zip(comps, h_teams, h_scores, a_teams, a_scores, dates, total_scores, diff_scores), columns = headers)
print(df)