如何根据 Visual Basic 2010 中其中一列的最大值从列表框中提取行

Question

我在 Visual Basic 2010 中有一个列表框。总而言之，我想遍历每一行，对于每个 MaxWeight 类别，遍历 Maxspeed 值并打印出最高 T_final 值，同时在该特定最大重量下最大化 MaxSpeed。

因此 1) 对于每个权重类别 2) 降序排列 T_final 3) Select 最高 T_final 值对应于最高可能的 Maxspeed 值。

下面是原始数据；

Group  Max Weight  Max Speed      T_Desc      T_Emerg      T_Final     Time
2   80000       1   404 0   404 840

2   80000       2   0   0   0   420

2   80000       3   0   0   0   280

2   80000       4   0   0   0   210

2   80000       5   0   0   0   168

2   80000       6   0   0   0   140

2   80000       7   0   0   0   120

2   80000       8   0   0   0   105

2   80000       9   0   0   0   93

2   80000       10  0   0   0   84

2   80000       11  0   0   0   76

2   80000       12  0   0   0   70

2   80000       13  0   0   0   65

2   80000       14  0   0   0   60

2   80000       15  0   0   0   56

2   80000       16  0   0   0   52

2   80000       17  0   0   0   49

2   80000       18  0   0   0   47

2   80000       19  0   0   0   44

2   80000       20  0   0   0   42

2   80000       21  0   0   0   40

2   80000       22  0   0   0   38

2   80000       23  0   0   0   37

2   80000       24  0   0   0   35

2   80000       25  0   0   0   34

2   80000       26  0   0   0   32

2   80000       27  0   0   0   31

2   80000       28  0   0   0   30

2   80000       29  0   0   0   29

2   80000       30  0   0   0   28

2   80000       31  0   0   0   27

2   80000       32  0   0   0   26

2   80000       33  0   0   0   25

2   80000       34  0   0   0   25

2   80000       35  0   0   0   24

2   80000       36  0   0   0   23

2   80000       37  0   0   0   23

2   80000       38  0   0   0   22

2   80000       39  0   0   0   22

2   80000       40  0   0   0   21

2   80000       41  0   0   0   20

2   80000       42  0   0   0   20

2   80000       43  0   0   0   20

2   80000       44  0   0   0   19

2   80000       45  0   0   0   19

2   80000       46  0   0   0   18

2   80000       47  0   0   0   18

2   80000       48  0   0   0   18

2   80000       49  0   0   0   17

2   80000       50  0   0   0   17

2   80000       51  0   0   0   16

2   80000       52  0   0   0   16

2   80000       53  0   0   0   16

2   80000       54  0   0   0   16

2   80000       55  0   0   0   15

2   80000       56  0   0   0   15

2   80000       57  0   0   0   15

2   80000       58  0   0   0   14

2   80000       59  0   0   0   14

2   80000       60  0   0   0   14

2   80000       61  0   0   0   14

2   80000       62  0   0   0   14

2   80000       63  0   0   0   13

2   80000       64  0   0   0   13

2   80000       65  0   0   0   13

2   75000       1   361 0   361 840

2   75000       2   0   0   0   420

2   75000       3   0   0   0   280

2   75000       4   0   0   0   210

2   75000       5   0   0   0   168

2   75000       6   0   0   0   140

2   75000       7   0   0   0   120

2   75000       8   0   0   0   105

2   75000       9   0   0   0   93

2   75000       10  0   0   0   84

2   75000       11  0   0   0   76

2   75000       12  0   0   0   70

2   75000       13  0   0   0   65

2   75000       14  0   0   0   60

2   75000       15  0   0   0   56

2   75000       16  0   0   0   52

2   75000       17  0   0   0   49

2   75000       18  0   0   0   47

2   75000       19  0   0   0   44

2   75000       20  0   0   0   42

2   75000       21  0   0   0   40

2   75000       22  0   0   0   38

2   75000       23  0   0   0   37

2   75000       24  0   0   0   35

2   75000       25  0   0   0   34

2   75000       26  0   0   0   32

2   75000       27  0   0   0   31

2   75000       28  0   0   0   30

2   75000       29  0   0   0   29

2   75000       30  0   0   0   28

2   75000       31  0   0   0   27

2   75000       32  0   0   0   26

2   75000       33  0   0   0   25

2   75000       34  0   0   0   25

2   75000       35  0   0   0   24

2   75000       36  0   0   0   23

2   75000       37  0   0   0   23

2   75000       38  0   0   0   22

2   75000       39  0   0   0   22

2   75000       40  0   0   0   21

2   75000       41  0   0   0   20

2   75000       42  0   0   0   20

2   75000       43  0   0   0   20

2   75000       44  0   0   0   19

2   75000       45  0   0   0   19

2   75000       46  0   0   0   18

2   75000       47  0   0   0   18

2   75000       48  0   0   0   18

2   75000       49  0   0   0   17

2   75000       50  0   0   0   17

2   75000       51  0   0   0   16

2   75000       52  0   0   0   16

2   75000       53  0   0   0   16

2   75000       54  0   0   0   16

2   75000       55  0   0   0   15

2   75000       56  0   0   0   15

2   75000       57  0   0   0   15

2   75000       58  0   0   0   14

2   75000       59  0   0   0   14

2   75000       60  0   0   0   14

2   75000       61  0   0   0   14

2   75000       62  0   0   0   14

2   75000       63  0   0   0   13

2   75000       64  0   0   0   13

2   75000       65  0   0   0   13

2   70000       1   317 0   317 840

2   70000       2   0   0   0   420

2   70000       3   0   0   0   280

2   70000       4   0   0   0   210

2   70000       5   0   0   0   168

2   70000       6   0   0   0   140

2   70000       7   0   0   0   120

2   70000       8   0   0   0   105

2   70000       9   0   0   0   93

2   70000       10  0   0   0   84

2   70000       11  0   0   0   76

2   70000       12  0   0   0   70

2   70000       13  0   0   0   65

2   70000       14  0   0   0   60

2   70000       15  0   0   0   56

2   70000       16  0   0   0   52

2   70000       17  0   0   0   49

2   70000       18  0   0   0   47

2   70000       19  0   0   0   44

2   70000       20  0   0   0   42

2   70000       21  0   0   0   40

2   70000       22  0   0   0   38

2   70000       23  0   0   0   37

2   70000       24  0   0   0   35

2   70000       25  0   0   0   34

2   70000       26  0   0   0   32

2   70000       27  0   0   0   31

2   70000       28  0   0   0   30

2   70000       29  0   0   0   29

2   70000       30  0   0   0   28

2   70000       31  0   0   0   27

2   70000       32  0   0   0   26

2   70000       33  0   0   0   25

2   70000       34  0   0   0   25

2   70000       35  0   0   0   24

2   70000       36  0   0   0   23

2   70000       37  0   0   0   23

2   70000       38  0   0   0   22

2   70000       39  0   0   0   22

2   70000       40  0   0   0   21

2   70000       41  0   0   0   20

2   70000       42  0   0   0   20

2   70000       43  0   0   0   20

2   70000       44  0   0   0   19

2   70000       45  0   0   0   19

2   70000       46  0   0   0   18

2   70000       47  0   0   0   18

2   70000       48  0   0   0   18

2   70000       49  0   0   0   17

2   70000       50  0   0   0   17

2   70000       51  0   0   0   16

2   70000       52  0   0   0   16

2   70000       53  0   0   0   16

2   70000       54  0   0   0   16

2   70000       55  0   0   0   15

2   70000       56  0   0   0   15

2   70000       57  0   0   0   15

2   70000       58  0   0   0   14

2   70000       59  0   0   0   14

2   70000       60  0   0   0   14

2   70000       61  0   0   0   14

2   70000       62  0   0   0   14

2   70000       63  0   0   0   13

2   70000       64  0   0   0   13

2   70000       65  0   0   0   13

2   65000       1   273 0   273 840

2   65000       2   0   0   0   420

2   65000       3   0   0   0   280

2   65000       4   0   0   0   210

2   65000       5   0   0   0   168

2   65000       6   0   0   0   140

2   65000       7   0   0   0   120

2   65000       8   0   0   0   105

2   65000       9   0   0   0   93

2   65000       10  0   0   0   84

2   65000       11  0   0   0   76

2   65000       12  0   0   0   70

2   65000       13  0   0   0   65

2   65000       14  0   0   0   60

2   65000       15  0   0   0   56

2   65000       16  0   0   0   52

2   65000       17  0   0   0   49

2   65000       18  0   0   0   47

2   65000       19  0   0   0   44

2   65000       20  0   0   0   42

2   65000       21  0   0   0   40

2   65000       22  0   0   0   38

2   65000       23  0   0   0   37

2   65000       24  0   0   0   35

2   65000       25  0   0   0   34

2   65000       26  0   0   0   32

2   65000       27  0   0   0   31

2   65000       28  0   0   0   30

2   65000       29  0   0   0   29

2   65000       30  0   0   0   28

2   65000       31  0   0   0   27

2   65000       32  0   0   0   26

2   65000       33  0   0   0   25

2   65000       34  0   0   0   25

2   65000       35  0   0   0   24

2   65000       36  0   0   0   23

2   65000       37  0   0   0   23

2   65000       38  0   0   0   22

2   65000       39  0   0   0   22

2   65000       40  0   0   0   21

2   65000       41  0   0   0   20

2   65000       42  0   0   0   20

2   65000       43  0   0   0   20

2   65000       44  0   0   0   19

2   65000       45  0   0   0   19

2   65000       46  0   0   0   18

2   65000       47  0   0   0   18

2   65000       48  0   0   0   18

2   65000       49  0   0   0   17

2   65000       50  0   0   0   17

2   65000       51  0   0   0   16

2   65000       52  0   0   0   16

2   65000       53  0   0   0   16

2   65000       54  0   0   0   16

2   65000       55  0   0   0   15

2   65000       56  0   0   0   15

2   65000       57  0   0   0   15

2   65000       58  0   0   0   14

2   65000       59  0   0   0   14

2   65000       60  0   0   0   14

2   65000       61  0   0   0   14

2   65000       62  0   0   0   14

2   65000       63  0   0   0   13

2   65000       64  0   0   0   13

2   65000       65  0   0   0   13

2   60000       1   230 0   230 840

2   60000       2   0   0   0   420

2   60000       3   0   0   0   280

2   60000       4   0   0   0   210

2   60000       5   0   0   0   168

2   60000       6   0   0   0   140

2   60000       7   0   0   0   120

2   60000       8   0   0   0   105

2   60000       9   0   0   0   93

2   60000       10  0   0   0   84

2   60000       11  0   0   0   76

2   60000       12  0   0   0   70

2   60000       13  0   0   0   65

2   60000       14  0   0   0   60

2   60000       15  0   0   0   56

2   60000       16  0   0   0   52

2   60000       17  0   0   0   49

2   60000       18  0   0   0   47

2   60000       19  0   0   0   44

2   60000       20  0   0   0   42

2   60000       21  0   0   0   40

2   60000       22  0   0   0   38

2   60000       23  0   0   0   37

2   60000       24  0   0   0   35

2   60000       25  0   0   0   34

2   60000       26  0   0   0   32

2   60000       27  0   0   0   31

2   60000       28  0   0   0   30

2   60000       29  0   0   0   29

2   60000       30  0   0   0   28

2   60000       31  0   0   0   27

2   60000       32  0   0   0   26

2   60000       33  0   0   0   25

2   60000       34  0   0   0   25

2   60000       35  0   0   0   24

2   60000       36  0   0   0   23

2   60000       37  0   0   0   23

2   60000       38  0   0   0   22

2   60000       39  0   0   0   22

2   60000       40  0   0   0   21

2   60000       41  0   0   0   20

2   60000       42  0   0   0   20

2   60000       43  0   0   0   20

2   60000       44  0   0   0   19

2   60000       45  0   0   0   19

2   60000       46  0   0   0   18

2   60000       47  0   0   0   18

2   60000       48  0   0   0   18

2   60000       49  0   0   0   17

2   60000       50  0   0   0   17

2   60000       51  0   0   0   16

2   60000       52  0   0   0   16

2   60000       53  0   0   0   16

2   60000       54  0   0   0   16

2   60000       55  0   0   0   15

2   60000       56  0   0   0   15

2   60000       57  0   0   0   15

2   60000       58  0   0   0   14

2   60000       59  0   0   0   14

2   60000       60  0   0   0   14

2   60000       61  0   0   0   14

2   60000       62  0   0   0   14

2   60000       63  0   0   0   13

2   60000       64  0   0   0   13

2   60000       65  0   0   0   13

2   55000       1   186 0   186 840

2   55000       2   0   0   0   420

2   55000       3   0   0   0   280

2   55000       4   0   0   0   210

2   55000       5   0   0   0   168

2   55000       6   0   0   0   140

2   55000       7   0   0   0   120

2   55000       8   0   0   0   105

2   55000       9   0   0   0   93

2   55000       10  0   0   0   84

2   55000       11  0   0   0   76

2   55000       12  0   0   0   70

2   55000       13  0   0   0   65

2   55000       14  0   0   0   60

2   55000       15  0   0   0   56

2   55000       16  0   0   0   52

2   55000       17  0   0   0   49

2   55000       18  0   0   0   47

2   55000       19  0   0   0   44

2   55000       20  0   0   0   42

2   55000       21  0   0   0   40

2   55000       22  0   0   0   38

2   55000       23  0   0   0   37

2   55000       24  0   0   0   35

2   55000       25  0   0   0   34

2   55000       26  0   0   0   32

2   55000       27  0   0   0   31

2   55000       28  0   0   0   30

2   55000       29  0   0   0   29

2   55000       30  0   0   0   28

2   55000       31  0   0   0   27

2   55000       32  0   0   0   26

2   55000       33  0   0   0   25

2   55000       34  0   0   0   25

2   55000       35  0   0   0   24

2   55000       36  0   0   0   23

2   55000       37  0   0   0   23

2   55000       38  0   0   0   22

2   55000       39  0   0   0   22

2   55000       40  0   0   0   21

2   55000       41  0   0   0   20

2   55000       42  0   0   0   20

2   55000       43  0   0   0   20

2   55000       44  0   0   0   19

2   55000       45  0   0   0   19

2   55000       46  0   0   0   18

2   55000       47  0   0   0   18

2   55000       48  0   0   0   18

2   55000       49  0   0   0   17

2   55000       50  0   0   0   17

2   55000       51  0   0   0   16

2   55000       52  0   0   0   16

2   55000       53  0   0   0   16

2   55000       54  0   0   0   16

2   55000       55  0   0   0   15

2   55000       56  0   0   0   15

2   55000       57  0   0   0   15

2   55000       58  0   0   0   14

2   55000       59  0   0   0   14

2   55000       60  0   0   0   14

2   55000       61  0   0   0   14

2   55000       62  0   0   0   14

2   55000       63  0   0   0   13

2   55000       64  0   0   0   13

2   55000       65  0   0   0   13

2   50000       1   142 0   142 840

2   50000       2   0   0   0   420

2   50000       3   0   0   0   280

2   50000       4   0   0   0   210

2   50000       5   0   0   0   168

2   50000       6   0   0   0   140

2   50000       7   0   0   0   120

2   50000       8   0   0   0   105

2   50000       9   0   0   0   93

2   50000       10  0   0   0   84

2   50000       11  0   0   0   76

2   50000       12  0   0   0   70

2   50000       13  0   0   0   65

2   50000       14  0   0   0   60

2   50000       15  0   0   0   56

2   50000       16  0   0   0   52

2   50000       17  0   0   0   49

2   50000       18  0   0   0   47

2   50000       19  0   0   0   44

2   50000       20  0   0   0   42

2   50000       21  0   0   0   40

2   50000       22  0   0   0   38

2   50000       23  0   0   0   37

2   50000       24  0   0   0   35

2   50000       25  0   0   0   34

2   50000       26  0   0   0   32

2   50000       27  0   0   0   31

2   50000       28  0   0   0   30

2   50000       29  0   0   0   29

2   50000       30  0   0   0   28

2   50000       31  0   0   0   27

2   50000       32  0   0   0   26

2   50000       33  0   0   0   25

2   50000       34  0   0   0   25

2   50000       35  0   0   0   24

2   50000       36  0   0   0   23

2   50000       37  0   0   0   23

2   50000       38  0   0   0   22

2   50000       39  0   0   0   22

2   50000       40  0   0   0   21

2   50000       41  0   0   0   20

2   50000       42  0   0   0   20

2   50000       43  0   0   0   20

2   50000       44  0   0   0   19

2   50000       45  0   0   0   19

2   50000       46  0   0   0   18

2   50000       47  0   0   0   18

2   50000       48  0   0   0   18

2   50000       49  0   0   0   17

2   50000       50  0   0   0   17

2   50000       51  0   0   0   16

2   50000       52  0   0   0   16

2   50000       53  0   0   0   16

2   50000       54  0   0   0   16

2   50000       55  0   0   0   15

2   50000       56  0   0   0   15

2   50000       57  0   0   0   15

2   50000       58  0   0   0   14

2   50000       59  0   0   0   14

2   50000       60  0   0   0   14

2   50000       61  0   0   0   14

2   50000       62  0   0   0   14

2   50000       63  0   0   0   13

2   50000       64  0   0   0   13

2   50000       65  0   0   0   13

2   45000       1   99  0   99  840

2   45000       2   466 0   466 420

2   45000       3   0   0   0   280

2   45000       4   0   0   0   210

2   45000       5   0   0   0   168

2   45000       6   0   0   0   140

2   45000       7   0   0   0   120

2   45000       8   0   0   0   105

2   45000       9   0   0   0   93

2   45000       10  0   0   0   84

2   45000       11  0   0   0   76

2   45000       12  0   0   0   70

2   45000       13  0   0   0   65

2   45000       14  0   0   0   60

2   45000       15  0   0   0   56

2   45000       16  0   0   0   52

2   45000       17  0   0   0   49

2   45000       18  0   0   0   47

2   45000       19  0   0   0   44

2   45000       20  0   0   0   42

2   45000       21  0   0   0   40

2   45000       22  0   0   0   38

2   45000       23  0   0   0   37

2   45000       24  0   0   0   35

2   45000       25  0   0   0   34

2   45000       26  0   0   0   32

2   45000       27  0   0   0   31

2   45000       28  0   0   0   30

2   45000       29  0   0   0   29

2   45000       30  0   0   0   28

2   45000       31  0   0   0   27

2   45000       32  0   0   0   26

2   45000       33  0   0   0   25

2   45000       34  0   0   0   25

2   45000       35  0   0   0   24

2   45000       36  0   0   0   23

2   45000       37  0   0   0   23

2   45000       38  0   0   0   22

2   45000       39  0   0   0   22

2   45000       40  0   0   0   21

2   45000       41  0   0   0   20

2   45000       42  0   0   0   20

2   45000       43  0   0   0   20

2   45000       44  0   0   0   19

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2   5000        46  350 3   353 18

2   5000        47  350 3   354 18

2   5000        48  351 4   354 18

2   5000        49  351 4   355 17

2   5000        50  351 4   355 17

2   5000        51  351 4   355 16

2   5000        52  350 4   355 16

2   5000        53  350 4   354 16

2   5000        54  349 5   354 16

2   5000        55  349 5   354 15

2   5000        56  348 5   353 15

2   5000        57  347 5   352 15

2   5000        58  346 5   351 14

2   5000        59  345 5   351 14

2   5000        60  344 6   350 14

2   5000        61  343 6   348 14

2   5000        62  341 6   347 14

2   5000        63  340 6   346 13

2   5000        64  338 6   345 13

2   5000        65  337 7   343 13

2   0       1   -294    0   -294    840

2   0       2   -284    0   -284    420

2   0       3   -275    0   -275    280

2   0       4   -266    0   -266    210

2   0       5   -257    0   -257    168

2   0       6   -249    0   -249    140

2   0       7   -240    0   -240    120

2   0       8   -231    0   -231    105

2   0       9   -222    0   -222    93

2   0       10  -213    0   -213    84

2   0       11  -205    0   -205    76

2   0       12  -197    0   -197    70

2   0       13  -189    0   -189    65

2   0       14  -182    0   -182    60

2   0       15  -175    0   -175    56

2   0       16  -168    0   -168    52

2   0       17  -162    0   -162    49

2   0       18  -157    0   -157    47

2   0       19  -152    0   -152    44

2   0       20  -147    0   -147    42

2   0       21  -142    0   -142    40

2   0       22  -138    0   -138    38

2   0       23  -134    0   -134    37

2   0       24  -131    0   -131    35

2   0       25  -127    0   -127    34

2   0       26  -124    0   -124    32

2   0       27  -121    0   -121    31

2   0       28  -119    0   -119    30

2   0       29  -116    0   -116    29

2   0       30  -114    0   -114    28

2   0       31  -112    0   -112    27

2   0       32  -111    0   -111    26

2   0       33  -109    0   -109    25

2   0       34  -108    0   -108    25

2   0       35  -107    0   -107    24

2   0       36  -106    0   -106    23

2   0       37  -105    0   -105    23

2   0       38  -104    0   -104    22

2   0       39  -103    0   -103    22

2   0       40  -103    0   -103    21

2   0       41  -103    0   -103    20

2   0       42  -102    0   -102    20

2   0       43  -102    0   -102    20

2   0       44  -102    0   -102    19

2   0       45  -103    0   -103    19

2   0       46  -103    0   -103    18

2   0       47  -103    0   -103    18

2   0       48  -104    0   -104    18

2   0       49  -104    0   -104    17

2   0       50  -105    0   -105    17

2   0       51  -106    0   -106    16

2   0       52  -107    0   -107    16

2   0       53  -108    0   -108    16

2   0       54  -109    0   -109    16

2   0       55  -110    0   -110    15

2   0       56  -111    0   -111    15

2   0       57  -113    0   -113    15

2   0       58  -114    0   -114    14

2   0       59  -116    0   -116    14

2   0       60  -117    0   -117    14

2   0       61  -119    0   -119    14

2   0       62  -121    0   -121    14

2   0       63  -123    0   -123    13

2   0       64  -125    0   -125    13

2   0       65  -126    0   -126    13

下面是我正在寻找的输出。特别注意从 MaxWeight 的 15,000 到 0。

 {'Max_Weight'}    {'Max_Speed'}    {'T_Desc'}    {'T_Emerg'}    {'T_Final'}    {'Time'}
    {[     80000]}    {[        1]}    {[   404]}    {[      0]}    {[    404]}    {[ 840]}
    {[     75000]}    {[        1]}    {[   361]}    {[      0]}    {[    361]}    {[ 840]}
    {[     70000]}    {[        1]}    {[   317]}    {[      0]}    {[    317]}    {[ 840]}
    {[     65000]}    {[        1]}    {[   273]}    {[      0]}    {[    273]}    {[ 840]}
    {[     60000]}    {[        1]}    {[   230]}    {[      0]}    {[    230]}    {[ 840]}
    {[     55000]}    {[        1]}    {[   186]}    {[      0]}    {[    186]}    {[ 840]}
    {[     50000]}    {[        1]}    {[   142]}    {[      0]}    {[    142]}    {[ 840]}
    {[     45000]}    {[        2]}    {[   466]}    {[      0]}    {[    466]}    {[ 420]}
    {[     40000]}    {[        2]}    {[   382]}    {[      0]}    {[    382]}    {[ 420]}
    {[     35000]}    {[        2]}    {[   299]}    {[      0]}    {[    299]}    {[ 420]}
    {[     30000]}    {[        3]}    {[   440]}    {[      0]}    {[    440]}    {[ 280]}
    {[     25000]}    {[        4]}    {[   492]}    {[      0]}    {[    492]}    {[ 210]}
    {[     20000]}    {[        5]}    {[   467]}    {[      0]}    {[    467]}    {[ 168]}
    {[     15000]}    {[        7]}    {[   456]}    {[      0]}    {[    456]}    {[ 120]}
    {[     10000]}    {[       13]}    {[   474]}    {[      1]}    {[    475]}    {[  65]}
    {[      5000]}    {[       65]}    {[   337]}    {[      7]}    {[    343]}    {[  13]}

Answer 1

目前还没有足够的信息来提供完整的解决方案。我们仍然缺少用于 ListBox 中对象的类型，也不知道“打印出来”的确切含义。但我仍然可以帮助一些人，方法是使用一个名为 LineItem 的假类型，其中属性匹配示例中显示的每个字段（删除空格以符合语法）。

listBox1.SelectionMode = SelectionMode.MultiExtended
listBox1.SelectedItems.Clear()

Dim weightGroups = listBox1.Items.Cast(Of LineItem)().
               GroupBy(Function(i) i.MaxWeight, Function(i) i)
Dim MaxPerWeight = weightGroups.Select(Function(g) g.OrderBy(Function(i) -1*i.T_desc).First())
 
For Each item As LineItem in MaxPerWeight
    listBox1.SelectedItems.Add(item)
Next

Answer 2

根据您的所有回答，尝试以下类似的方法。它将字符串数据解析为 DataValue 实例（代码假设值之间有空格 and/or 制表符），然后使用 LINQ 查询为每个“MaxWeight”组获取最大的“T_Desc”，并重新填充 ListBox新数据。该代码假定 ListBox 中的第一行是 header 行，并保持不变：

Public Class Form1

    Private Sub Button1_Click(sender As Object, e As EventArgs) Handles Button1.Click
        Dim header As String = lstOutput.Items(0)

        Dim data As New List(Of DataValue)
        ' Skip the header row by starting at 1:
        For i As Integer = 1 To lstOutput.Items.Count - 1
            data.Add(New DataValue(lstOutput.Items(i)))
        Next

        Dim results = From dv In data
                      Order By dv.MaxWeight Descending, dv.T_Desc Descending
                      Group dv By dv.MaxWeight Into g = Group
                      Select g.First

        lstOutput.Items.Clear()
        lstOutput.Items.Add(header)
        For Each row In results
            lstOutput.Items.Add(row.ToString)
        Next
    End Sub

End Class

Public Class DataValue

    Public Sub New(ByVal strInput As String)
        Dim values() As String = strInput.Split({" ", vbTab}, StringSplitOptions.RemoveEmptyEntries)
        If values.Length >= 6 Then
            Try
                MaxWeight = Integer.Parse(values(0))
                MaxSpeed = Integer.Parse(values(1))
                Time = Integer.Parse(values(2))
                T_Emerg = Integer.Parse(values(3))
                T_Final = Integer.Parse(values(4))
                T_Desc = Integer.Parse(values(5))
            Catch ex As Exception
                MessageBox.Show("Invalid Input: Value failed to convert to Integer.")
            End Try
        Else
            MessageBox.Show("Invalid Input: Not enough values.")
        End If
    End Sub

    Public Overrides Function ToString() As String
        Return MaxWeight & vbTab & MaxSpeed & vbTab & Time & vbTab & T_Emerg & vbTab & T_Final & vbTab & T_Desc
    End Function

    Public MaxWeight As Integer
    Public MaxSpeed As Integer
    Public Time As Integer
    Public T_Emerg As Integer
    Public T_Final As Integer
    Public T_Desc As Integer

End Class

不确定您的数据来自何处...您可以直接从数据创建 DataValue 实例，然后将这些实例添加到 ListBox，而不是在字符串之间来回转换。

来自评论：

I would like to compare the final output with the value of a variable and remove items from the listbox/stop adding items as soon as MaxSpeed equals the value of this variable. Thus in the animation you put up, assuming the value of this variable = 127, the final output would leave just the first row with a Maxweight = 80000.

您可以将输出部分更改为以下内容：

Dim target As Integer = 127
lstOutput.Items.Clear()
lstOutput.Items.Add(header)
For Each row In results
    lstOutput.Items.Add(row.ToString)
    If row.MaxSpeed = target Then
        Exit For
    End If
Next

如何根据 Visual Basic 2010 中其中一列的最大值从列表框中提取行

How to extract a row from a listbox based on the maximum value of one of it's columns in Visual Basic 2010

vb.net

visual-studio-2010