我有一个。txt文件，它与。csv非常相似，但又不完全相似。正如您所看到的，前4列可以用空格分隔，但最后一个字符串将被分割成不同数量的列。我需要最后一个字符串只有一列。
09 4 10/11/2021 22:21:17 The PLC reported that sorter SS02 has E-stopped.
08 4 10/11/2021 22:21:17 The PLC reported that sorter SS02 has stopped.
08 4 10/11/2021 22:21:18 The PLC reported that sorter SS01 has stopped.
20 5 10/11/2021 22:21:18 The PLC reported that purge mode was disabled for sorter SS02.
20 5 10/11/2021 22:21:18 The PLC reported that purge mode was disabled for sorter SS01.
23 5 10/11/2021 22:21:19 AUX Sortation has been enabled for sorter SS02.
23 5 10/11/2021 22:21:20 AUX Sortation has been enabled for sorter SS01.
我怎么读这个，所以我只有5个一致的列?我以后可能会把日期和时间合并成一列。
您可以预解析每行，然后创建DataFrame，例如:
import pandas as pd
with open('input.txt') as f_input:
data = [line.strip().split(' ', 4) for line in f_input]
df = pd.DataFrame(data, columns=['c1', 'c2', 'date', 'time', 'desc'])
print(df)
给你:
c1 c2 date time desc
0 09 4 10/11/2021 22:21:17 The PLC reported that sorter SS02 has E-stopped.
1 08 4 10/11/2021 22:21:17 The PLC reported that sorter SS02 has stopped.
2 08 4 10/11/2021 22:21:18 The PLC reported that sorter SS01 has stopped.
3 20 5 10/11/2021 22:21:18 The PLC reported that purge mode was disabled for sorter SS02.
4 20 5 10/11/2021 22:21:18 The PLC reported that purge mode was disabled for sorter SS01.
5 23 5 10/11/2021 22:21:19 AUX Sortation has been enabled for sorter SS02.
6 23 5 10/11/2021 22:21:20 AUX Sortation has been enabled for sorter SS01.
可以通过组合date和time列并将它们转换为datetime来添加datetime列:
df['datetime'] = pd.to_datetime(df['date'] + ' ' + df['time'])