Hi
I want to subset a dataframe(df) by multiple rows with value (10004).
I tried the command, but it does not work, I am wondering why ?
df[in([10004]).(df.HWG), :]
28,960 rows × 11 columns (omitted printing of 2 columns)
HWG | X | X.1 | X.2 | X.3 | X.4 | X.5 | Herd.born.in | GenotypedDate | |
---|---|---|---|---|---|---|---|---|---|
String | Int64 | Int64 | Int64 | Int64 | Int64 | Int64 | String | String | |
1 | 10004 | 0 | 410240170 | 0 | 0 | 2 | -9 | 10004 | 14.12.2018 |
2 | 10004 | 0 | 412396339 | 412301476 | 409446588 | 2 | -9 | 10004 | 01.12.2017 |
3 | 10004 | 0 | 412442014 | 0 | 0 | 2 | -9 | 10004 | 14.12.2018 |
4 | 10004 | 0 | 412409256 | 0 | 0 | 2 | -9 | 10004 | 14.12.2018 |
5 | 10004 | 0 | 412419664 | 0 | 0 | 2 | -9 | 10004 | 14.12.2018 |
6 | 10004 | 0 | 412442177 | 0 | 0 | 2 | -9 | 10004 | 14.12.2018 |
7 | 10004 | 0 | 412556442 | 0 | 0 | 2 | -9 | 10004 | 14.12.2018 |
8 | 10004 | 0 | 412502732 | 0 | 0 | 2 | -9 | 10004 | 14.12.2018 |
9 | 10004 | 0 | 412490450 | 0 | 0 | 2 | -9 | 10004 | 14.12.2018 |
10 | 10004 | 0 | 412788155 | 0 | 0 | 2 | -9 | 10004 | 20.12.2018 |
11 | 10004 | 0 | 410103042 | 0 | 0 | 2 | -9 | 10004 | 14.12.2018 |
12 | 10004 | 0 | 412532939 | 0 | 0 | 2 | -9 | 10004 | 14.12.2018 |
13 | 10004 | 0 | 411394744 | 0 | 0 | 2 | -9 | 10004 | 14.12.2018 |
14 | 10005 | 0 | 411203394 | 412301753 | 409435638 | 2 | -9 | 10005 | 24.08.2018 |
15 | 10005 | 0 | 410101642 | 412300972 | 410144275 | 2 | -9 | 10005 | 24.08.2018 |
16 | 10005 | 0 | 410786267 | 412301772 | 411910808 | 2 | -9 | 10005 | 24.08.2018 |
17 | 10005 | 0 | 412551400 | 412301966 | 409336495 | 2 | -9 | 10005 | 24.08.2018 |
18 | 10005 | 0 | 408990326 | 412301218 | 409435638 | 2 | -9 | 10005 | 24.08.2018 |
19 | 10005 | 0 | 412532262 | 412301953 | 409951758 | 2 | -9 | 10005 | 24.08.2018 |
20 | 10005 | 0 | 412524592 | 412301946 | 412012310 | 2 | -9 | 10005 | 24.08.2018 |
21 | 10005 | 0 | 408766913 | 412301860 | 410744756 | 2 | -9 | 10630 | 24.08.2018 |
22 | 10005 | 0 | 412547148 | 412301494 | 408742355 | 2 | -9 | 10005 | 24.08.2018 |
23 | 10005 | 0 | 412524860 | 412301964 | 411028826 | 2 | -9 | 10005 | 24.08.2018 |
24 | 10005 | 0 | 412482552 | 412301949 | 408884862 | 2 | -9 | 10005 | 24.08.2018 |