Question

我将输出保存到列表中，我想创建一个新列并在其中添加值

我可以使用anaconda成功地做到这一点，但是我现在正在尝试使用python和IDLE，它不起作用

attendance = []
sleep(5)
for x in df1['Login Time']:
    s1 = str(x)
    s2 = '12:00:00'
    s3 = '3:15:00'
    s4 = '02:00:00'
    FMT = '%H:%M:%S'
    tdelta = datetime.strptime(s2, FMT) - datetime.strptime(s1, FMT)
    if x <= s4:
        attendance.append('Aussi')
    elif (str(tdelta)) < s3:
        attendance.append('Present')
    else: 
        attendance.append('Check')
df1['Attendance'] = attendance
sleep(5)
df1.to_csv(datetime.strftime(datetime.now() - timedelta(1), '%Y-%m-%d')+".csv",index=False)

我遇到了错误试图在DataFrame的切片副本上设置一个值。尝试改用.loc [row_indexer，col_indexer] =值

Answer 1

问题出在df1['Attendance'] = attendance

尝试一下：

attendance = []
sleep(5)
for x in df1['Login Time']:
    s1 = str(x)
    s2 = '12:00:00'
    s3 = '3:15:00'
    s4 = '02:00:00'
    FMT = '%H:%M:%S'
    tdelta = datetime.strptime(s2, FMT) - datetime.strptime(s1, FMT)
    if x <= s4:
        attendance.append('Aussi')
    elif (str(tdelta)) < s3:
        attendance.append('Present')
    else: 
        attendance.append('Check')
#From Here......................................................
attendance_df = pd.Dataframe(attendance,column=['Title']
df1.loc[attendance_df.index,'Login Time']=attendance_df['Title']
#...............................................................
sleep(5)
df1.to_csv(datetime.strftime(datetime.now() - timedelta(1), '%Y-%m-%d')+".csv",index=False)

希望这行得通。

我正在尝试在数据框新列中输入列表

1 个答案: