python - 通过 python pandas 排序字符串数据帧

Question

我在输出中有一个类似的列，并希望从 General-0 开始按升序排列并递增。我试过下面它不起作用。我怎样才能完成这个？它的数据类型显示为对象。

dt.sort_values('run')

输出

        run               
717   General-25-20180121-15:27:27-3807  
824   General-26-20180121-15:27:28-3812  
931   General-27-20180121-15:27:29-3818  
1038  General-28-20180121-15:27:30-3823  
1145  General-29-20180121-15:27:30-3828  
1252  General-30-20180121-15:27:31-3833  
1359  General-31-20180121-15:27:31-3838  
1466  General-32-20180121-15:27:32-3843  
1573  General-33-20180121-15:27:33-3848  
1680  General-34-20180121-15:27:33-3855 
1787   General-0-20180121-15:27:08-3680 
1894   General-1-20180121-15:27:09-3685  
2001   General-2-20180121-15:27:10-3690  
2108   General-3-20180121-15:27:11-3695  
2215   General-4-20180121-15:27:11-3700  
2322   General-5-20180121-15:27:12-3706

Answer 1

最简单的方法是，如果索引值不重要，则使用带有自定义函数的 sorted:

df['run'] = sorted(df['run'], key=lambda x: int(x.split('-')[1]))
print (df)
                                    run
717    General-0-20180121-15:27:08-3680
824    General-1-20180121-15:27:09-3685
931    General-2-20180121-15:27:10-3690
1038   General-3-20180121-15:27:11-3695
1145   General-4-20180121-15:27:11-3700
1252   General-5-20180121-15:27:12-3706
1359  General-25-20180121-15:27:27-3807
1466  General-26-20180121-15:27:28-3812
1573  General-27-20180121-15:27:29-3818
1680  General-28-20180121-15:27:30-3823
1787  General-29-20180121-15:27:30-3828
1894  General-30-20180121-15:27:31-3833
2001  General-31-20180121-15:27:31-3838
2108  General-32-20180121-15:27:32-3843
2215  General-33-20180121-15:27:33-3848
2322  General-34-20180121-15:27:33-3855

如果索引值首先重要split ，通过 str[1] 选择第二个值，转换为整数并用于订单 argsort与 iloc :

df = df.iloc[df['run'].str.split('-').str[1].astype(int).argsort()]
print (df)
                                    run
1787   General-0-20180121-15:27:08-3680
1894   General-1-20180121-15:27:09-3685
2001   General-2-20180121-15:27:10-3690
2108   General-3-20180121-15:27:11-3695
2215   General-4-20180121-15:27:11-3700
2322   General-5-20180121-15:27:12-3706
717   General-25-20180121-15:27:27-3807
824   General-26-20180121-15:27:28-3812
931   General-27-20180121-15:27:29-3818
1038  General-28-20180121-15:27:30-3823
1145  General-29-20180121-15:27:30-3828
1252  General-30-20180121-15:27:31-3833
1359  General-31-20180121-15:27:31-3838
1466  General-32-20180121-15:27:32-3843
1573  General-33-20180121-15:27:33-3848
1680  General-34-20180121-15:27:33-3855