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)
Untuk VB.6 Codingnya Adalah :
With djie_ListView1
.View = lvwReport
.GridLines = True
.FullRowSelect = True
'Membuat Column Header
.ColumnHeaders.Clear
For i = 0 To 3
.ColumnHeaders.Add , , "Column Ke " & i, 1000
Next
'Load Data
.ListItems.Clear
For i = 0 To 100
.ListItems.Add , , "Row Ke " & i & " Column Ke 0"
'Loop Sebanyak Column Header -1
For j = 1 To .ColumnHeaders.Count - 1
'Index Listview start dari 1
.ListItems(.ListItems.Count).ListSubItems.Add , , "Row Ke " & i & " Column Ke " & j
Next
Next
.ListItems(1).Selected = True
End With
Untuk VB.NET Codingnya Adalah :
With djie_ListView1
.View = View.Details
.GridLines = True
.FullRowSelect = True
'Membuat Column Header
.Columns.Clear()
For i As Double = 0 To 3
.Columns.Add("Column Ke " & i, 1000)
Next
'Load Data
.Items.Clear()
For i As Double = 0 To 100
.Items.Add("Row Ke " & i & " Column Ke 0")
'Loop Sebanyak Column Header -1
For j As Double = 1 To .Columns.Count - 1
'Index Listview start dari 0
.Items(.Items.Count - 1).SubItems.Add("Row Ke " & i & " Column Ke " & j)
Next
Next
.Items(0).Selected = True
'Sesuaikan Ukuran Column Otomatis
.AutoResizeColumns(ColumnHeaderAutoResizeStyle.HeaderSize)
End With
Untuk VB.6 Codingnya Adalah :
With djie_ListView1
.View = lvwReport
.GridLines = True
.FullRowSelect = True
'Membuat Column Header
.ColumnHeaders.Clear
For i = 0 To 3
.ColumnHeaders.Add , , "Column Ke " & i, 1000
Next
'Load Data
.ListItems.Clear
For i = 0 To 100
.ListItems.Add , , "Row Ke " & i & " Column Ke 0"
'Loop Sebanyak Column Header -1
For j = 1 To .ColumnHeaders.Count - 1
'Index Listview start dari 1
.ListItems(.ListItems.Count).ListSubItems.Add , , "Row Ke " & i & " Column Ke " & j
Next
Next
.ListItems(1).Selected = True
End With
Untuk VB.NET Codingnya Adalah :
With djie_ListView1
.View = View.Details
.GridLines = True
.FullRowSelect = True
'Membuat Column Header
.Columns.Clear()
For i As Double = 0 To 3
.Columns.Add("Column Ke " & i, 1000)
Next
'Load Data
.Items.Clear()
For i As Double = 0 To 100
.Items.Add("Row Ke " & i & " Column Ke 0")
'Loop Sebanyak Column Header -1
For j As Double = 1 To .Columns.Count - 1
'Index Listview start dari 0
.Items(.Items.Count - 1).SubItems.Add("Row Ke " & i & " Column Ke " & j)
Next
Next
.Items(0).Selected = True
'Sesuaikan Ukuran Column Otomatis
.AutoResizeColumns(ColumnHeaderAutoResizeStyle.HeaderSize)
End With
Posting Komentar untuk "Load Data Ke ListView"