Created
December 17, 2019 11:23
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UNPIVOT GS
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/** | |
* Unpivot a pivot table of any size. | |
* | |
* @param {A1:D30} data The pivot table. | |
* @param {1} fixColumns Number of columns, after which pivoted values begin. Default 1. | |
* @param {1} fixRows Number of rows (1 or 2), after which pivoted values begin. Default 1. | |
* @param {"city"} titlePivot The title of horizontal pivot values. Default "column". | |
* @param {"distance"[,...]} titleValue The title of pivot table values. Default "value". | |
* @return The unpivoted table | |
* @customfunction | |
*/ | |
function unpivot(data,fixColumns,fixRows,titlePivot,titleValue) { | |
var fixColumns = fixColumns || 1; // how many columns are fixed | |
var fixRows = fixRows || 1; // how many rows are fixed | |
var titlePivot = titlePivot || 'column'; | |
var titleValue = titleValue || 'value'; | |
var ret=[],i,j,row,uniqueCols=1; | |
// we handle only 2 dimension arrays | |
if (!Array.isArray(data) || data.length < fixRows || !Array.isArray(data[0]) || data[0].length < fixColumns) | |
throw new Error('no data'); | |
// we handle max 2 fixed rows | |
if (fixRows > 2) | |
throw new Error('max 2 fixed rows are allowed'); | |
// fill empty cells in the first row with value set last in previous columns (for 2 fixed rows) | |
var tmp = ''; | |
for (j=0;j<data[0].length;j++) | |
if (data[0][j] != '') | |
tmp = data[0][j]; | |
else | |
data[0][j] = tmp; | |
// for 2 fixed rows calculate unique column number | |
if (fixRows == 2) | |
{ | |
uniqueCols = 0; | |
tmp = {}; | |
for (j=fixColumns;j<data[1].length;j++) | |
if (typeof tmp[ data[1][j] ] == 'undefined') | |
{ | |
tmp[ data[1][j] ] = 1; | |
uniqueCols++; | |
} | |
} | |
// return first row: fix column titles + pivoted values column title + values column title(s) | |
row = []; | |
for (j=0;j<fixColumns;j++) row.push(fixRows == 2 ? data[0][j]||data[1][j] : data[0][j]); // for 2 fixed rows we try to find the title in row 1 and row 2 | |
for (j=3;j<arguments.length;j++) row.push(arguments[j]); | |
ret.push(row); | |
// processing rows (skipping the fixed columns, then dedicating a new row for each pivoted value) | |
for (i=fixRows;i<data.length && data[i].length > 0;i++) | |
{ | |
// skip totally empty or only whitespace containing rows | |
if (data[i].join('').replace(/\s+/g,'').length == 0 ) continue; | |
// unpivot the row | |
row = []; | |
for (j=0;j<fixColumns && j<data[i].length;j++) | |
row.push(data[i][j]); | |
for (j=fixColumns;j<data[i].length;j+=uniqueCols) | |
ret.push( | |
row.concat([data[0][j]]) // the first row title value | |
.concat(data[i].slice(j,j+uniqueCols)) // pivoted values | |
); | |
} | |
return ret; | |
} | |
I encountered "Too large data" error when I run this script, any ideas how I can get around that?
Perfect! Huge help.
Thanks!
If you have csv like
Name, cat 1, cat 2, cat 3, cat 4
and you want to flatten it for look up purpopses
you wil have to UNPIVOT
to do so..
make the data do the following
Name,Name,Name,Name,cat 1, cat 2, cat 3, cat 4
Then Flatten the first 4 columns
and then next to it flatten the next 4 columns,
it should alone
Name,Cat 1
Name, Cat 2
Name, Cat 3,
Name, Cat 4
Right?
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Thank you for sharing! It was exactly what I needed!