Levenshtein距离/在Google表格查询中的自定义函数

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英文:

Levenshtein Distance/Custum Function in Google Sheets Query

问题

我添加了一个名为levenshteinDistanceDP(string1, string2)的自定义函数到AppScript中。它返回一个整数。此外,我在一个表格中有一个查询:

QUERY(Expenses!A1:H, "SELECT A, B, C, D WHERE LOWER(H) 包含 LOWER("""&K3&""") ";1)

除了"WHERE LOWER(H) 包含 LOWER("""&K3&""")"之外,我想要包括那些使levenshteinDistanceDP(lower(H), Lower(K3))小于3的结果。

我猜可能有一种方法,可以在"Expenses"表中添加一个列,该列使用自定义函数,然后查询只检查该列。如果可能,我希望在查询中完成。有什么想法吗?

编辑:使用额外列的想法特别不适合,因为自定义函数在每一行加载时大约需要一秒钟。对于几千行来说是不可行的,因为K3可以由用户(我)随意更新,然后每次都需要重新计算。我猜这个事实可能会危及整个想法,但也许在查询中运行会快一些。这更加促使将其包含在查询中。

英文:

I added a function
levenshteinDistanceDP(string1,string2)
as a custom function in AppScript. It returns an Integer. Additionally I have the Query in a sheet:

QUERY(Expenses!A1:H;"SELECT A, B, C, D WHERE LOWER(H) contains LOWER("""&K3&""") ";1)

Complementary to "WHERE LOWER(H) contains LOWER("""&K3&""")" i want to include results where levenshteinDistanceDP(lower(H),Lower(K3)) is smaller than lets say 3.

I guess there would be a way, by adding a column to "Expenses" which uses the custom function, and the query just checks for that column. If possible I would like to do it within the query tho. Any ideas?

Edit: The idea with the extra column is especially unsuitable, since the custom function takes around a second to load in each row. For several thousand rows unfeasible, since K3 can be updated at the will of the user (me) and would then be recalculated every time. I guess that fact could jeopardize the entire idea, but maybe it runs somewhat faster in the query. One reason more to include it in the query.

答案1

得分: 2

在查询中,您将无法应用Levenshtein距离公式。我建议的方法是不将您的函数作为单元格内的自定义函数使用,而是在onEdit函数中进行一次性计算。

function onEdit(e) {
  var sh = e.source.getActiveSheet();
  var shname = e.range.getSheet().getName();
  var column = e.range.getColumn();
  var row = e.range.getRow();
  var range = e.range;

  if (shname == "Expenses") {
    if (range.getA1Notation() == "K3") {
      var rangewords = sh.getRange("H:H");
      var words = rangewords.getValues();
      for (i = 0; i < words.length; i++) {
        if (words[i] == "" || words[i] == null) {
          return;
        } else {
          sh.getRange(i + 1, 10).setValue(levenshteinDistanceDP(words[i].toString().toLowerCase(), range.getValue().toString().toLowerCase()));
        }
      }
    } else if (column == 8) {
      sheet.getRange(row, 10).setValue(levenshteinDistanceDP(range.getValue().toString().toLowerCase(), sh.getRange("K3").getValue()].toString().toLowerCase()));
    }
  }
}

更改K3时,它将重新计算整列,更改H列中的值时,它将仅计算该行一次。请尝试并告诉我。如果有必要,您可以共享一个包含函数以进行调试的示例文件。

英文:

Inside the QUERY you won't have the option to apply the Levenshtein Distance formula. What I suggest to make it more feasible is not to use your function as a custom function inside a cell but to make it calculate once with onEdit.

function onEdit(e){
  var sh = e.source.getActiveSheet()
  var shname = e.range.getSheet().getName()
  var column = e.range.getColumn()
  var row = e.range.getRow()
  var range = e.range

  if(shname == &quot;Expenses&quot;){ 
   if(range.getA1Notation() == &quot;K3&quot;){
     var rangewords = sh.getRange(&quot;H:H&quot;)
     var words = rangewords.getValues()
     for(i=0;i&lt;words.length;i++){
      if(words[i]==&quot;&quot; || words[i]==null) {return}
      else {sh.getRange(i+1,10).setValue(levenshteinDistanceDP(words[i].toString().toLowerCase(),range.getValue().toString().toLowerCase()))} //change 10 with the number of column you desire to use as auxiliar for this
     }
    }
   else if(column == 8){
    sheet.getRange(row,10).setValue(levenshteinDistanceDP(range.getValue().toString().toLowerCase(),sh.getRange(&quot;K3&quot;).getValue()].toString().toLowerCase()))  //change 10 with the number of column you desire to use as auxiliar for this}
   }
 }

}

When you change K3 it will re-calculate all the column once, when you change a value in column H it will only calculate that row once. Try it and let me know. You may share a sample file with the functions to debug if necessary

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  • 本文由 发表于 2023年2月27日 19:10:19
  • 转载请务必保留本文链接:https://go.coder-hub.com/75579701.html
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