我在一个很好的地方格式化一个dataframe的方式，我想它从大学足球时间表，我抢了从ESPN

year = datetime.today().year-1

url = 'https://www.espn.com/college-football/team/schedule/_/id/213/season/'+str(year)

schedule = pd.read_html(url)[0][[0,1]]
schedule.columns = ["Date", "Opponent"]

remove_list = ["DATE","Regular","Bowl"]

schedule = schedule[~schedule["Date"].str.contains('|'.join(remove_list))].reset_index(drop = True)
schedule['Opponent'] = schedule['Opponent'].str.replace("vs", '').str.replace("*", '').str.replace("@", '')

date_list = (schedule['Date'].str[5:]+', '+str(year))

final_date_list = []
for d in date_list:
  d = datetime.strptime(d, '%b %d, %Y')
  d = datetime.strftime(d, '%Y%d%m')
  final_date_list.append(d)

schedule['Date'] = schedule['Date'].str[5:]+', '+str(year)

schedule['Date'] = pd.DataFrame(final_date_list)

schedule

然而，我想做的就是从当前表中删除数字：

Date    Opponent
0   20210409    12 Wisconsin
1   20211109    Ball State
2   20211809    22 Auburn
3   20212509    Villanova
4   20210210    Indiana
5   20210910    3 Iowa
6   20212310    Illinois
7   20213010    5 Ohio State
8   20210611    Maryland
9   20211311    6 Michigan
10  20212011    Rutgers
11  20212711    12 Michigan State
12  20210101    21 Arkansas