Excel是否可以识别单元格中逗号分隔数字的模式并删除该模式的重复项?

时间:2017-08-08 21:10:25

标签: excel-vba user-defined-functions excel-2011 vba excel

对于人眼来说这是一项简单的任务,但是如果我手动完成它将需要2周的时间。

我正在使用我从此网站获得的UDF将TextJoin功能添加到我的Excel 2011.工作得很好,但我遇到了一个新的电子表格问题,我正在使用它有近5万行。问题是,我不能简单地删除重复项,因为有些实例会重复数据,我需要捕获它。但是,我找到了另一个列,其中包含与重复数据相关的唯一数据。通过查看这些第二个数据列,我可以很容易地知道什么是重复以及需要包含哪些内容。

我创建了一个简化的电子表格示例,因为它更容易显示用单词解释。

来源数据:

Acct#   Lname,Fname Date    Data#1  Data#2
42  Doe, John   1/1/17  10001   1001
42  Doe, John   1/1/17  10001   1001
42  Doe, John   1/1/17  30003   1001
42  Doe, John   1/1/17  10001   1002
42  Doe, John   1/1/17  10001   1002
42  Doe, John   1/1/17  30003   1002
70  Smith, Jane 2/1/17  10001   2001
70  Smith, Jane 2/1/17  20002   2001
70  Smith, Jane 2/1/17  30003   2001
70  Smith, Jane 2/1/17  10001   2002
70  Smith, Jane 2/1/17  20002   2002
70  Smith, Jane 2/1/17  30003   2002
70  Smith, Jane 2/1/17  10001   2003
70  Smith, Jane 2/1/17  20002   2003
70  Smith, Jane 2/1/17  30003   2003
93  Blow, Joe   1/1/17  10001   3001
93  Blow, Joe   1/1/17  20002   3001
93  Blow, Joe   1/1/17  30003   3001
93  Blow, Joe   1/1/17  10001   3002
93  Blow, Joe   1/1/17  20002   3002
93  Blow, Joe   1/1/17  30003   3002
177 Bryant, Kobe    2/1/17  10001   4001
177 Bryant, Kobe    2/1/17  30003   4001
177 Bryant, Kobe    2/1/17  30003   4001
177 Bryant, Kobe    2/1/17  10001   4002
177 Bryant, Kobe    2/1/17  30003   4002
177 Bryant, Kobe    2/1/17  30003   4002
177 Bryant, Kobe    2/1/17  10001   4003
177 Bryant, Kobe    2/1/17  30003   4003
177 Bryant, Kobe    2/1/17  30003   4003

输出数据:

Acct#   (Lname, Fname)  Date    Data#1  Data#2
42  Doe, John   1/1/17  10001, 10001, 30003, 10001, 10001, 30003    
70  Smith, Jane 2/1/17  10001, 20002, 30003, 10001, 20002, 30003, 10001, 20002, 30003   
93  Blow ,Joe   1/1/17  10001, 20002, 30003, 10001, 20002, 30003    
177 Bryant, Kobe    2/1/17  10001, 30003, 30003, 10001, 30003, 30003, 10001, 30003, 30003   

我不知道如何将excel电子表格放在我的问题中,所以这里是我目前拥有的截图和所需的输出(我现在只关注Data#1专栏)。

enter image description here

根据要求,这是我用来提取数据#1的VBA代码:

Function TEXTJOIN(delim As String, skipblank As Boolean, arr)
    Dim d As Long
    Dim c As Long
    Dim arr2()
    Dim t As Long, y As Long
    t = -1
    y = -1
    If TypeName(arr) = "Range" Then
        arr2 = arr.Value
    Else
        arr2 = arr
    End If
    On Error Resume Next
    t = UBound(arr2, 2)
    y = UBound(arr2, 1)
    On Error GoTo 0

    If t >= 0 And y >= 0 Then
        For c = LBound(arr2, 1) To UBound(arr2, 1)
            For d = LBound(arr2, 1) To UBound(arr2, 2)
                If arr2(c, d) <> "" Or Not skipblank Then
                    TEXTJOIN = TEXTJOIN & arr2(c, d) & delim
                End If
            Next d
        Next c
    Else
        For c = LBound(arr2) To UBound(arr2)
            If arr2(c) <> "" Or Not skipblank Then
                TEXTJOIN = TEXTJOIN & arr2(c) & delim
            End If
        Next c
    End If
        TEXTJOIN = Left(TEXTJOIN, Len(TEXTJOIN) - Len(delim))
    End Function

我尝试了建议的子程序,我得到了这个输出:

enter image description here

1 个答案:

答案 0 :(得分:1)

以下是一些至少与您的示例数据一起使用的代码,但我怀疑一旦数据发生变化,它的工作效果会严重下降。

Option Explicit
Sub PatternFilter()

    Dim ws As Worksheet

    Dim index1_col As String
    Dim index2_col As String
    Dim data1_col As String
    Dim data2_col As String
    Dim lastrow As Long
    Dim lastentryrow As Long
    Dim outputline As Long
    Dim iter1 As Long
    Dim iter2 As Long
    Dim datastring As String

    Set ws = ThisWorkbook.Sheets("Sheet1")

    index1_col = "A" ' the column with the unique identifier, such as name or acct#
    index2_col = "C" ' another column which can either be unique
    data1_col = "D" ' data1 column
    data2_col = "E" ' data2 column

    lastrow = ws.Range(index1_col & ws.Rows.Count).End(xlUp).Row ' so we know where to stop
    outputline = 2 ' just an incrementor to keep putting data on unique lines

    For iter1 = 2 To lastrow Step 1
        datastring = "" ' reset our output string
        For iter2 = iter1 + 1 To lastrow Step 1 ' a for loop to find the last row in each pattern set
            If (ws.Range(index1_col & iter2).Value <> ws.Range(index1_col & iter2 + 1).Value) _
                    Or (ws.Range(index2_col & iter2).Value <> ws.Range(index2_col & iter2 + 1).Value) Then
                lastentryrow = iter2
                Exit For
            End If
        Next
        For iter2 = iter1 To lastentryrow Step 1 ' a for loop to collect all of the data1 pattern
            If ws.Range(data2_col & iter2).Value <> ws.Range(data2_col & iter2 + 1).Value Then
                datastring = datastring & "," & ws.Range(data1_col & iter2).Value
                Exit For
            End If
            If datastring = "" Then
                datastring = ws.Range(data1_col & iter2).Value
            Else
                datastring = datastring & "," & ws.Range(data1_col & iter2).Value
            End If
        Next
        ws.Range("I" & outputline).Value = datastring ' save the data1 pattern
        datastring = "" ' reset the output string
        For iter2 = iter1 To lastentryrow Step 1 ' a for loop to collect all of the data2 pattern
            If ws.Range(data2_col & iter2).Value <> ws.Range(data2_col & iter2 - 1).Value Then
                If datastring = "" Then
                    datastring = ws.Range(data2_col & iter2).Value
                Else
                    datastring = datastring & "," & ws.Range(data2_col & iter2).Value
                End If
            End If
        Next
        ws.Range("J" & outputline).Value = datastring ' save the data2 pattern
        ws.Range("G" & outputline).Value = ws.Range(index1_col & iter1).Value ' put the unique identifier with the data so we know who the data belongs to
        ws.Range("H" & outputline).Value = ws.Range(index2_col & iter1).Value
        outputline = outputline + 1 ' increment the output line to avoid overwriting existing data
        iter1 = lastentryrow ' set this to last entry line (for loop will increment to the first line of the next entry for us)
    Next

End Sub

当然,这可以被操纵输出到你想要的任何地方,包括一张新的工作表等。让我知道你有什么不明白或不适合你的事情

*编辑:每个OP请求添加了第二个索引列