选择Excel中表格的数值。

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英文:

Selecting a value of a table in Excel

问题

基于我现在有的定义表格和两个变量单元,我想从表格中选择一个数值。请参见下面的表格。

示例:

变量单元 1 是 Fitch,变量单元 2 是 CCC+。我想在我的输出单元中,也称为信用质量等级,看到数值 6。我该如何做?

表格:

Fitch Moody's S&P 信用质量等级
AAA Aaa AAA 0
AA+ Aa1 AA+ 1
BBB+ Baa1 BBB+ 3
CCC+ Caa1 CCC+ 6
RD /LD SD 6

我尝试使用 INDEXMATCH 函数,但我没有获得正确的结果。如果我为每列使用 IF 语句,它可以工作,但这不是我要寻找的方法。

英文:

I have a definition table, as well as two variable cells. Based on those I want to select a value from the table. See table below.

EXAMPLE

Variable cell 1 is Fitch, variable cell 2 is CCC+. I want in my output cell, called also Credit quality class, to see the value 6. How can I do that?

TABLE

Fitch Moody's S&P Credit quality class
AAA Aaa AAA 0
AA+ Aa1 AA+ 1
BBB+ Baa1 BBB+ 3
CCC+ Caa1 CCC+ 6
RD /LD SD 6

I tried using INDEX and MATCH functions, but I do not obtain the correct result. It does work if I use IF statemets for each column, but that is not what I am looking for.

答案1

得分: 2

  • 在Microsoft 365中,您可以简单地执行以下操作:

    =IFERROR(XLOOKUP(G2,XLOOKUP(G1,A1:C1,A2:C6),D2:D6),"")
    
  • 如果您没有这个函数,您可以使用 INDEX/MATCH

    =IFERROR(INDEX(D2:D6,MATCH(G2,INDEX(A2:C6,,MATCH(G1,A1:C1,0)),0),"")
    
  • 无论哪种方法,都可以学习以下内容以更好地理解INDEX/MATCH的工作原理。

英文:

A Double Lookup

  • In Microsoft 365 you can simply do:

    =IFERROR(XLOOKUP(G2,XLOOKUP(G1,A1:C1,A2:C6),D2:D6),"")
    
  • If you don't have it, you can use INDEX/MATCH:

    =IFERROR(INDEX(D2:D6,MATCH(G2,INDEX(A2:C6,,MATCH(G1,A1:C1,0)),0)),"")
    
  • Either way, study the following to better understand how INDEX/MATCH work.

选择Excel中表格的数值。

答案2

得分: 1

如果您使用Excel 365,您可以使用以下公式:

=LET(step1,FILTER(A1:D6,A1:D1=B11),
INDEX(D1:D6,MATCH(B12,step1,0)))

选择Excel中表格的数值。

英文:

If you have Excel 365 you can use this formula:

=LET(step1,FILTER(A1:D6,A1:D1=B11),
INDEX(D1:D6,MATCH(B12,step1,0)))

选择Excel中表格的数值。

答案3

得分: 0

=SUMPRODUCT(($A$2:$C$6=H5)*($A$1:$C$1=H4)*D2:D6)

英文:

You may use SUMPRODUCT:

选择Excel中表格的数值。

=SUMPRODUCT(($A$2:$C$6=H5)*($A$1:$C$1=H4)*D2:D6)

This formula will work as long as variables are correct, and each variable 2 is unique in each column.

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  • 本文由 发表于 2023年2月6日 20:19:36
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