我有以下数据类型:
id=["SA3342","ASD345","SFZX34","ASDFS5","SDFDS4","SFDDSF1"]
arrival_time = ["0"," 2016-05-19 13:50:00","2016-05-19 21:25:00","0","2016-05-24 18:30:00","2016-05-26 12:15:00"]
departure_time = ["2016-05-19 08:25:00","2016-05-19 16:00:00","2016-05-20 07:45:00","2016-05-24 12:50:00","2016-05-25 23:00:00","2016-05-26 19:45:00"]
获取以下数据:
id arrival_time departure_time
SA3342 0 2016-05-19 08:25:00
ASD345 2016-05-19 13:50:00 2016-05-19 16:00:00
SFZX34 2016-05-19 21:25:00 2016-05-20 07:45:00
ASDFS5 0 2016-05-24 12:50:00
SDFDS4 2016-05-24 18:30:00 2016-05-25 23:00:00
SFDDSF1 2016-05-26 12:15:00 2016-05-26 19:45:00
如何根据“id”和出发时间对数据类型进行排序？
我尝试了以下代码，但没有成功:
df = df.sort_values(['id', 'departure_time'], inplace=True, by='date')
我收到以下错误:
TypeError: sort_values() got multiple values for keyword argument 'by'
最佳答案
看来您需要删除 assign if parameter inplace=True 并删除 sort_values 中的第二个 by :
df.sort_values(by=['id', 'departure_time'], inplace=True)
print (df)
id arrival_time departure_time
1 ASD345 2016-05-19 13:50:00 2016-05-19 16:00:00
3 ASDFS5 0 2016-05-24 12:50:00
0 SA3342 0 2016-05-19 08:25:00
4 SDFDS4 2016-05-24 18:30:00 2016-05-25 23:00:00
5 SFDDSF1 2016-05-26 12:15:00 2016-05-26 19:45:00
2 SFZX34 2016-05-19 21:25:00 2016-05-20 07:45:00
或者删除 inplace=True 和第二个 by:
df = df.sort_values(by=['id', 'departure_time'])
print (df)
id arrival_time departure_time
1 ASD345 2016-05-19 13:50:00 2016-05-19 16:00:00
3 ASDFS5 0 2016-05-24 12:50:00
0 SA3342 0 2016-05-19 08:25:00
4 SDFDS4 2016-05-24 18:30:00 2016-05-25 23:00:00
5 SFDDSF1 2016-05-26 12:15:00 2016-05-26 19:45:00
2 SFZX34 2016-05-19 21:25:00 2016-05-20 07:45:00
关于python - 如何对 Pandas 中的两个字段进行排序？，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/43886010/