2017-03-20 09:02:25 +00:00
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## Utility Functions
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The `sheet_to_*` functions accept a worksheet and an optional options object.
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2017-03-25 01:36:40 +00:00
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The `*_to_sheet` functions accept a data object and an optional options object.
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2017-03-20 09:02:25 +00:00
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The examples are based on the following worksheet:
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```
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XXX| A | B | C | D | E | F | G |
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---+---+---+---+---+---+---+---+
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1 | S | h | e | e | t | J | S |
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2 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
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3 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
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```
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2017-03-25 01:36:40 +00:00
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### Array of Arrays Input
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`XLSX.utils.aoa_to_sheet` takes an array of arrays of JS values and returns a
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worksheet resembling the input data. Numbers, Booleans and Strings are stored
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as the corresponding styles. Dates are stored as date or numbers. Array holes
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and explicit `undefined` values are skipped. `null` values may be stubbed. All
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other values are stored as strings. The function takes an options argument:
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| Option Name | Default | Description |
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| :---------- | :------: | :-------------------------------------------------- |
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2017-09-24 23:40:09 +00:00
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|`dateNF` | FMT 14 | Use specified date format in string output |
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|`cellDates` | false | Store dates as type `d` (default is `n`) |
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|`sheetStubs` | false | Create cell objects of type `z` for `null` values |
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2017-03-25 01:36:40 +00:00
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2017-04-30 20:37:53 +00:00
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<details>
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2017-09-24 23:40:09 +00:00
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<summary><b>Examples</b> (click to show)</summary>
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2017-04-30 20:37:53 +00:00
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2017-03-25 01:36:40 +00:00
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To generate the example sheet:
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```js
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var ws = XLSX.utils.aoa_to_sheet([
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2017-09-24 23:40:09 +00:00
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"SheetJS".split(""),
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[1,2,3,4,5,6,7],
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[2,3,4,5,6,7,8]
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2017-03-25 01:36:40 +00:00
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]);
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```
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2017-04-30 20:37:53 +00:00
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</details>
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2017-03-25 01:36:40 +00:00
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2017-05-11 18:23:21 +00:00
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### Array of Objects Input
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`XLSX.utils.json_to_sheet` takes an array of objects and returns a worksheet
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2017-08-08 20:31:17 +00:00
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with automatically-generated "headers" based on the keys of the objects. The
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default column order is determined by the first appearance of the field using
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`Object.keys`, but can be overridden using the options argument:
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| Option Name | Default | Description |
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| :---------- | :------: | :-------------------------------------------------- |
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|`header` | | Use specified column order (default `Object.keys`) |
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|`dateNF` | FMT 14 | Use specified date format in string output |
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|`cellDates` | false | Store dates as type `d` (default is `n`) |
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2017-05-11 18:23:21 +00:00
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<details>
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2017-09-24 23:40:09 +00:00
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<summary><b>Examples</b> (click to show)</summary>
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2017-05-11 18:23:21 +00:00
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The original sheet cannot be reproduced because JS object keys must be unique.
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After replacing the second `e` and `S` with `e_1` and `S_1`:
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```js
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var ws = XLSX.utils.json_to_sheet([
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2017-09-24 23:40:09 +00:00
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{S:1,h:2,e:3,e_1:4,t:5,J:6,S_1:7},
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{S:2,h:3,e:4,e_1:5,t:6,J:7,S_1:8}
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], {header:["S","h","e","e_1","t","J","S_1"]});
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```
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</details>
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2017-03-29 19:14:15 +00:00
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### HTML Table Input
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`XLSX.utils.table_to_sheet` takes a table DOM element and returns a worksheet
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resembling the input table. Numbers are parsed. All other data will be stored
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as strings.
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`XLSX.utils.table_to_book` produces a minimal workbook based on the worksheet.
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2017-08-09 22:38:23 +00:00
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Both functions accept options arguments:
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| Option Name | Default | Description |
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| :---------- | :------: | :-------------------------------------------------- |
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|`dateNF` | FMT 14 | Use specified date format in string output |
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|`cellDates` | false | Store dates as type `d` (default is `n`) |
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|`raw` | | If true, every cell will hold raw strings |
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2017-08-09 22:38:23 +00:00
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2017-04-30 20:37:53 +00:00
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<details>
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2017-09-24 23:40:09 +00:00
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<summary><b>Examples</b> (click to show)</summary>
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2017-04-30 20:37:53 +00:00
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2017-03-29 19:14:15 +00:00
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To generate the example sheet, start with the HTML table:
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```html
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<table id="sheetjs">
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<tr><td>S</td><td>h</td><td>e</td><td>e</td><td>t</td><td>J</td><td>S</td></tr>
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<tr><td>1</td><td>2</td><td>3</td><td>4</td><td>5</td><td>6</td><td>7</td></tr>
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<tr><td>2</td><td>3</td><td>4</td><td>5</td><td>6</td><td>7</td><td>8</td></tr>
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</table>
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```
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To process the table:
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```js
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var tbl = document.getElementById('sheetjs');
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var wb = XLSX.utils.table_to_book(tbl);
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```
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2017-04-30 20:37:53 +00:00
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</details>
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2017-03-29 19:14:15 +00:00
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Note: `XLSX.read` can handle HTML represented as strings.
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2017-03-20 09:02:25 +00:00
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### Formulae Output
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`XLSX.utils.sheet_to_formulae` generates an array of commands that represent
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how a person would enter data into an application. Each entry is of the form
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`A1-cell-address=formula-or-value`. String literals are prefixed with a `'` in
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2017-04-30 20:37:53 +00:00
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accordance with Excel.
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<details>
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2017-09-24 23:40:09 +00:00
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<summary><b>Examples</b> (click to show)</summary>
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2017-04-30 20:37:53 +00:00
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For the example sheet:
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2017-03-20 09:02:25 +00:00
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```js
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> var o = XLSX.utils.sheet_to_formulae(ws);
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> o.filter(function(v, i) { return i % 5 === 0; });
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[ 'A1=\'S', 'F1=\'J', 'D2=4', 'B3=3', 'G3=8' ]
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```
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2017-04-30 20:37:53 +00:00
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</details>
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2017-03-20 09:02:25 +00:00
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2017-04-03 00:16:03 +00:00
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### Delimiter-Separated Output
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2017-03-20 09:02:25 +00:00
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As an alternative to the `writeFile` CSV type, `XLSX.utils.sheet_to_csv` also
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produces CSV output. The function takes an options argument:
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| Option Name | Default | Description |
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| :---------- | :------: | :-------------------------------------------------- |
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|`FS` | `","` | "Field Separator" delimiter between fields |
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|`RS` | `"\n"` | "Record Separator" delimiter between rows |
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|`dateNF` | FMT 14 | Use specified date format in string output |
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|`strip` | false | Remove trailing field separators in each record ** |
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|`blankrows` | true | Include blank lines in the CSV output |
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|`skipHidden` | false | Skips hidden rows/columns in the CSV output |
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2017-03-22 07:50:11 +00:00
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- `strip` will remove trailing commas from each line under default `FS/RS`
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- `blankrows` must be set to `false` to skip blank lines.
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2017-03-20 09:02:25 +00:00
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2017-04-30 20:37:53 +00:00
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<details>
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2017-09-24 23:40:09 +00:00
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<summary><b>Examples</b> (click to show)</summary>
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2017-04-30 20:37:53 +00:00
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2017-03-20 09:02:25 +00:00
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For the example sheet:
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```js
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> console.log(XLSX.utils.sheet_to_csv(ws));
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S,h,e,e,t,J,S
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1,2,3,4,5,6,7
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2,3,4,5,6,7,8
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> console.log(XLSX.utils.sheet_to_csv(ws, {FS:"\t"}));
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S h e e t J S
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1 2 3 4 5 6 7
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2 3 4 5 6 7 8
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> console.log(XLSX.utils.sheet_to_csv(ws,{FS:":",RS:"|"}));
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S:h:e:e:t:J:S|1:2:3:4:5:6:7|2:3:4:5:6:7:8|
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```
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2017-04-30 20:37:53 +00:00
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</details>
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2017-03-20 09:02:25 +00:00
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2017-04-03 00:16:03 +00:00
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#### UTF-16 Unicode Text
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The `txt` output type uses the tab character as the field separator. If the
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2017-09-24 23:40:09 +00:00
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`codepage` library is available (included in full distribution but not core),
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the output will be encoded in `CP1200` and the BOM will be prepended.
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2017-04-03 00:16:03 +00:00
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2017-12-01 05:48:10 +00:00
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`XLSX.utils.sheet_to_txt` takes the same arguments as `sheet_to_csv`.
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2017-05-16 17:45:35 +00:00
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### HTML Output
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As an alternative to the `writeFile` HTML type, `XLSX.utils.sheet_to_html` also
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produces HTML output. The function takes an options argument:
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| Option Name | Default | Description |
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| :---------- | :------: | :-------------------------------------------------- |
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|`editable` | false | If true, set `contenteditable="true"` for every TD |
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|`header` | | Override header (default `html body`) |
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|`footer` | | Override footer (default `/body /html`) |
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2017-05-16 17:45:35 +00:00
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<details>
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2017-09-24 23:40:09 +00:00
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<summary><b>Examples</b> (click to show)</summary>
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2017-05-16 17:45:35 +00:00
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For the example sheet:
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```js
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> console.log(XLSX.utils.sheet_to_html(ws));
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// ...
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```
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</details>
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2017-03-20 09:02:25 +00:00
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### JSON
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2017-05-09 18:07:57 +00:00
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`XLSX.utils.sheet_to_json` generates different types of JS objects. The function
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takes an options argument:
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| Option Name | Default | Description |
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| :---------- | :------: | :-------------------------------------------------- |
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|`raw` | `false` | Use raw values (true) or formatted strings (false) |
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|`range` | from WS | Override Range (see table below) |
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|`header` | | Control output format (see table below) |
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|`dateNF` | FMT 14 | Use specified date format in string output |
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|`defval` | | Use specified value in place of null or undefined |
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|`blankrows` | ** | Include blank lines in the output ** |
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- `raw` only affects cells which have a format code (`.z`) field or a formatted
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text (`.w`) field.
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- If `header` is specified, the first row is considered a data row; if `header`
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is not specified, the first row is the header row and not considered data.
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- When `header` is not specified, the conversion will automatically disambiguate
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header entries by affixing `_` and a count starting at `1`. For example, if
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three columns have header `foo` the output fields are `foo`, `foo_1`, `foo_2`
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- `null` values are returned when `raw` is true but are skipped when false.
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- If `defval` is not specified, null and undefined values are skipped normally.
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If specified, all null and undefined points will be filled with `defval`
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- When `header` is `1`, the default is to generate blank rows. `blankrows` must
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be set to `false` to skip blank rows.
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- When `header` is not `1`, the default is to skip blank rows. `blankrows` must
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be true to generate blank rows
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`range` is expected to be one of:
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| `range` | Description |
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| :--------------- | :-------------------------------------------------------- |
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| (number) | Use worksheet range but set starting row to the value |
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| (string) | Use specified range (A1-style bounded range string) |
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| (default) | Use worksheet range (`ws['!ref']`) |
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`header` is expected to be one of:
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| `header` | Description |
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| :--------------- | :-------------------------------------------------------- |
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| `1` | Generate an array of arrays ("2D Array") |
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| `"A"` | Row object keys are literal column labels |
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| array of strings | Use specified strings as keys in row objects |
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| (default) | Read and disambiguate first row as keys |
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2017-03-25 01:36:40 +00:00
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If header is not `1`, the row object will contain the non-enumerable property
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`__rowNum__` that represents the row of the sheet corresponding to the entry.
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2017-04-30 20:37:53 +00:00
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<details>
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2017-09-24 23:40:09 +00:00
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<summary><b>Examples</b> (click to show)</summary>
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2017-04-30 20:37:53 +00:00
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2017-03-20 09:02:25 +00:00
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For the example sheet:
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```js
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> XLSX.utils.sheet_to_json(ws);
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[ { S: 1, h: 2, e: 3, e_1: 4, t: 5, J: 6, S_1: 7 },
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{ S: 2, h: 3, e: 4, e_1: 5, t: 6, J: 7, S_1: 8 } ]
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2017-09-24 23:40:09 +00:00
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> XLSX.utils.sheet_to_json(ws, {header:"A"});
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[ { A: 'S', B: 'h', C: 'e', D: 'e', E: 't', F: 'J', G: 'S' },
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{ A: '1', B: '2', C: '3', D: '4', E: '5', F: '6', G: '7' },
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{ A: '2', B: '3', C: '4', D: '5', E: '6', F: '7', G: '8' } ]
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2017-09-24 23:40:09 +00:00
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> XLSX.utils.sheet_to_json(ws, {header:["A","E","I","O","U","6","9"]});
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[ { '6': 'J', '9': 'S', A: 'S', E: 'h', I: 'e', O: 'e', U: 't' },
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{ '6': '6', '9': '7', A: '1', E: '2', I: '3', O: '4', U: '5' },
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{ '6': '7', '9': '8', A: '2', E: '3', I: '4', O: '5', U: '6' } ]
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> XLSX.utils.sheet_to_json(ws, {header:1});
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[ [ 'S', 'h', 'e', 'e', 't', 'J', 'S' ],
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[ '1', '2', '3', '4', '5', '6', '7' ],
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[ '2', '3', '4', '5', '6', '7', '8' ] ]
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```
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Example showing the effect of `raw`:
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```js
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2017-04-13 17:05:42 +00:00
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> ws['A2'].w = "3"; // set A2 formatted string value
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2017-09-24 23:40:09 +00:00
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> XLSX.utils.sheet_to_json(ws, {header:1});
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2017-03-20 09:02:25 +00:00
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[ [ 'S', 'h', 'e', 'e', 't', 'J', 'S' ],
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2017-04-13 17:05:42 +00:00
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[ '3', '2', '3', '4', '5', '6', '7' ], // <-- A2 uses the formatted string
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[ '2', '3', '4', '5', '6', '7', '8' ] ]
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2017-09-24 23:40:09 +00:00
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> XLSX.utils.sheet_to_json(ws, {header:1, raw:true});
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2017-03-20 09:02:25 +00:00
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[ [ 'S', 'h', 'e', 'e', 't', 'J', 'S' ],
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[ 1, 2, 3, 4, 5, 6, 7 ], // <-- A2 uses the raw value
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[ 2, 3, 4, 5, 6, 7, 8 ] ]
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```
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2017-04-30 20:37:53 +00:00
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</details>
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2017-03-20 09:02:25 +00:00
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