Remove First and Last value from list in pandas dataframe Column

Question

my data frame looks like this.

0   abc 2019-02-12 11:03:32 PM 12345
1   def 2019-02-14 11:04:33 PM 12345
2   blank
3   ghi 2019-02-14 11:05:34 PM 12345

Wanted output the below format.

0   2019-02-12 11:03:32 PM
1   2019-02-14 11:04:33 PM
2   
3   2019-02-13 11:05:36 PM

In short wanted to remove 1st and last values from each row and keep only date and time value.

Answer 1

If need remove first and last values separated by spaces use Series.str.split with indexing by str[1:-1] and then Series.str.join :

df['A'] = df.A.str.split().str[1:-1].str.join(' ')
print (df)
                        A
0  2019-02-12 11:03:32 PM
1  2019-02-14 11:04:33 PM
2
3  2019-02-14 11:05:34 PM

Or:

df['A'] = df.A.apply(lambda x: ' '.join(x.split()[1:-1]))

Answer 2

Use

df['A'] = df['A'].str.split().str[1:-1].str.join(" ")

which gives:

                        A
0  2019-02-12 11:03:32 PM
1  2019-02-14 11:04:33 PM
2
3  2019-02-14 11:05:34 PM

Answer 3

The first 1:3 slice index 0 and index 3 and index 1 and 2 would be printed

df = df.iloc[:, 1:2]