Keep only certain rows based in three column values
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Hi everyone!
I have been trying to solve this issue, but I have no identified the workaround!
From the next data set:
YEAR MONTH DAY HOUR MINUTE SECOND WIND DIRECTION (DEGREES)
2009 1 1 0 0 0 20
2009 1 1 0 10 0 21
2009 1 1 0 20 0 24
2009 1 1 0 30 0 29
2009 1 1 0 40 0 30
2009 1 1 0 50 0 28
2009 1 1 1 0 0 24
2009 1 1 1 10 0 31
2009 1 1 1 20 0 27
2009 1 1 1 30 0 25
2009 1 1 1 40 0 29
2009 1 1 1 50 0 31
2009 1 1 2 0 0 30
2009 1 1 2 10 0 30
2009 1 1 2 20 0 25
2009 1 1 2 30 0 27
2009 1 1 2 40 0 18
2009 1 1 2 50 0 27
2009 1 1 3 0 0 27
2009 1 1 3 10 0 29
2009 1 1 3 20 0 29
2009 1 1 3 30 0 30
2009 1 1 3 40 0 30
2009 1 1 3 50 0 30
2009 1 1 4 0 0 34
2009 1 1 4 10 0 38
2009 1 1 4 20 0 43
2009 1 1 4 30 0 57
2009 1 1 4 40 0 79
2009 1 1 4 50 0 72
2009 1 1 5 0 0 65
2009 1 1 5 10 0 64
2009 1 1 5 20 0 59
2009 1 1 5 30 0 56
2009 1 1 5 40 0 51
2009 1 1 5 50 0 51
2009 1 1 6 0 0 67
2009 1 1 6 10 0 60
2009 1 1 6 20 0 61
2009 1 1 6 30 0 78
2009 1 1 6 40 0 82
2009 1 1 6 50 0 88
2009 1 1 7 0 0 87
2009 1 1 7 10 0 85
2009 1 1 7 20 0 96
2009 1 1 7 30 0 92
2009 1 1 7 40 0 99
2009 1 1 7 50 0 108
2009 1 1 8 0 0 123
2009 1 1 8 10 0 118
2009 1 1 8 20 0 101
2009 1 1 8 30 0 99
2009 1 1 8 40 0 108
2009 1 1 8 50 0 105
2009 1 1 9 0 0 104
2009 1 1 9 10 0 105
2009 1 1 9 20 0 101
2009 1 1 9 30 0 95
2009 1 1 9 40 0 96
2009 1 1 9 50 0 101
2009 1 1 10 0 0 96
2009 1 1 10 10 0 113
2009 1 1 10 20 0 126
2009 1 1 10 30 0 107
2009 1 1 10 40 0 105
2009 1 1 10 50 0 88
2009 1 1 11 0 0 86
2009 1 1 11 10 0 72
2009 1 1 11 20 0 72
2009 1 1 11 30 0 70
2009 1 1 11 40 0 79
2009 1 1 11 50 0 81
2009 1 1 12 0 0 90
2009 1 1 12 10 0 101
2009 1 1 12 20 0 106
2009 1 1 12 30 0 100
2009 1 1 12 40 0 102
2009 1 1 12 50 0 93
2009 1 1 13 0 0 96
2009 1 1 13 10 0 91
2009 1 1 13 20 0 97
2009 1 1 13 30 0 100
2009 1 1 13 40 0 94
2009 1 1 13 50 0 101
2009 1 1 14 0 0 86
2009 1 1 14 10 0 86
2009 1 1 14 20 0 88
2009 1 1 14 30 0 87
2009 1 1 14 40 0 93
2009 1 1 14 50 0 98
2009 1 1 15 0 0 92
2009 1 1 15 10 0 92
2009 1 1 15 20 0 79
2009 1 1 15 30 0 79
2009 1 1 15 40 0 85
2009 1 1 15 50 0 89
2009 1 1 16 0 0 95
2009 1 1 16 10 0 84
2009 1 1 16 20 0 79
2009 1 1 16 30 0 75
2009 1 1 16 40 0 86
2009 1 1 16 50 0 79
2009 1 1 17 0 0 97
2009 1 1 17 10 0 84
2009 1 1 17 20 0 67
2009 1 1 17 30 0 72
2009 1 1 17 40 0 80
2009 1 1 17 50 0 89
2009 1 1 18 0 0 106
2009 1 1 18 10 0 21
2009 1 1 18 20 0 29
2009 1 1 18 30 0 320
2009 1 1 18 40 0 315
2009 1 1 18 50 0 319
2009 1 1 19 0 0 325
2009 1 1 19 10 0 323
2009 1 1 19 20 0 330
2009 1 1 19 30 0 332
2009 1 1 19 40 0 325
2009 1 1 19 50 0 328
2009 1 1 20 0 0 330
2009 1 1 20 10 0 328
2009 1 1 20 20 0 333
2009 1 1 20 30 0 331
2009 1 1 20 40 0 341
2009 1 1 20 50 0 338
2009 1 1 21 0 0 340
2009 1 1 21 10 0 341
2009 1 1 21 20 0 350
2009 1 1 21 30 0 348
2009 1 1 21 40 0 354
2009 1 1 21 50 0 350
2009 1 1 22 0 0 358
2009 1 1 22 10 0 353
2009 1 1 22 20 0 359
2009 1 1 22 30 0 354
2009 1 1 22 40 0 2
2009 1 1 22 50 0 8
2009 1 1 23 0 0 3
2009 1 1 23 10 0 14
2009 1 1 23 20 0 13
2009 1 1 23 30 0 15
2009 1 1 23 40 0 20
2009 1 1 23 50 0 17
It is necessary to conserve only the data recorded by the instrument exactly every three hours, as it is indicated below:
YEAR MONTH DAY HOUR MINUTE SECOND WIND DIRECTION (DEGREES)
2009 1 1 0 0 0 20
2009 1 1 3 0 0 27
2009 1 1 6 0 0 67
2009 1 1 9 0 0 104
2009 1 1 12 0 0 90
2009 1 1 15 0 0 92
2009 1 1 18 0 0 106
2009 1 1 21 0 0 340
Thanks in advance for your support!
Best,
Miguel
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