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---
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2023-06-25 09:36:58 +00:00
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sidebar_position: 1
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title: Arrays of Data
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---
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import Tabs from '@theme/Tabs';
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import TabItem from '@theme/TabItem';
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export const r = {style: {backgroundColor:"red"}};
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export const b = {style: {backgroundColor:"blue"}};
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export const g = {style: {backgroundColor:"green"}};
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export const y = {style: {backgroundColor:"yellow"}};
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2023-06-13 17:49:52 +00:00
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Arrays of objects are a common data format in JavaScript database connectors
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and other general data sources.
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Numeric datasets commonly use arrays of arrays of numbers.
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2023-06-14 19:32:34 +00:00
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The ["Data Storage"](#data-storage) section gives a general overview of common
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array formats in JavaScript.
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The ["Functions"](#functions) section describes the related functions.
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## Data Storage
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### Array of Arrays
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The spiritual equivalent of the grid in JavaScript is an array of arrays:
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2024-04-12 01:04:37 +00:00
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<table>
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<thead><tr><th>Spreadsheet</th><th>Array of Arrays</th></tr></thead>
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<tbody><tr><td>
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![`pres.xlsx` data](pathname:///pres.png)
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</td><td>
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```js
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[
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["Name", "Index"],
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["Bill Clinton", 42],
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["GeorgeW Bush", 43],
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["Barack Obama", 44],
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["Donald Trump", 45],
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["Joseph Biden", 46]
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]
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```
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2024-04-12 01:04:37 +00:00
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</td></tr></tbody>
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</table>
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Each array within the structure corresponds to one row. Individual data points
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can be read by indexing by row index and by column index:
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```js
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var aoa = [
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["Name", "Index"],
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["Bill Clinton", 42],
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["GeorgeW Bush", 43],
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["Barack Obama", 44],
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["Donald Trump", 45],
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["Joseph Biden", 46]
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];
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var value_at_B4 = aoa[3][1]; // 44
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var value_at_A2 = aoa[1][0]; // Bill Clinton
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```
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### Arrays of Objects
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Arrays of objects are commonly used to represent rows from a database:
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2024-04-12 01:04:37 +00:00
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<table>
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<thead><tr><th>Spreadsheet</th><th>Array of Objects</th></tr></thead>
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<tbody><tr><td>
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![`pres.xlsx` data](pathname:///pres.png)
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2024-04-12 01:04:37 +00:00
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</td><td>
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```js
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[
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{ Name: "Bill Clinton", Index: 42 },
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{ Name: "GeorgeW Bush", Index: 43 },
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{ Name: "Barack Obama", Index: 44 },
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{ Name: "Donald Trump", Index: 45 },
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{ Name: "Joseph Biden", Index: 46 }
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]
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```
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2024-04-12 01:04:37 +00:00
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</td></tr></tbody>
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</table>
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Each object within the structure corresponds to one data row. The first row of
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the spreadsheet is interpreted as the header row.
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## Functions
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The "Input" subsections describe functions that generate SheetJS worksheet
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objects from arrays of data.
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The ["Array Output"](#array-output) subsection defines functions that extract
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data from SheetJS worksheet objects.
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#### Example Sheet
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2023-09-24 03:59:48 +00:00
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:::note pass
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The live examples are based on the following worksheet:
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<table>
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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> </td><td> </td><td>5</td><td>6</td><td>7</td></tr>
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<tr><td>2</td><td>3</td><td> </td><td> </td><td>6</td><td>7</td><td>8</td></tr>
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<tr><td>3</td><td>4</td><td> </td><td> </td><td>7</td><td>8</td><td>9</td></tr>
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<tr><td>4</td><td>5</td><td>6</td><td>7</td><td>8</td><td>9</td><td>0</td></tr>
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</table>
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This table includes duplicate column labels ("e" and "S" appear twice in the
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first row) and gaps (three data rows have missing fields).
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2023-06-13 17:49:52 +00:00
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:::
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2023-06-14 19:32:34 +00:00
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### Array of Arrays Input
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**Create a worksheet from an array of arrays**
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```js
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var ws = XLSX.utils.aoa_to_sheet(aoa, opts);
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```
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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. Values are interpreted as follows:
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- Numbers, Booleans and Strings are stored as the corresponding types.
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- Date objects are stored as Date cells or date codes (see `cellDates` option)
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- Array holes and explicit `undefined` values are skipped.
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- `null` values may be stubbed (see `sheetStubs` and `nullError` options)
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- Cell objects are used as-is.
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The function takes an options argument:
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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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|`sheetStubs` | false | Create cell objects of type `z` for `null` values |
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|`nullError` | false | If true, emit `#NULL!` error cells for `null` values |
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|`UTC` | false | If true, dates are interpreted using UTC methods ** |
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|`dense` | false | Emit [dense sheets](/docs/csf/sheet#dense-mode) |
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[UTC option is explained in "Dates"](/docs/csf/features/dates#utc-option)
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The following live example reproduces the [example worksheet](#example-sheet):
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2023-06-14 19:32:34 +00:00
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```jsx live
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function SheetJSExportAOA() {
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/* array of arrays of data */
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var aoa = [
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["S", "h", "e", "e", "t", "J", "S"],
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[ 1, 2, , , 5, 6, 7],
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[ 2, 3, , , 6, 7, 8],
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[ 3, 4, , , 7, 8, 9],
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[ 4, 5, 6, 7, 8, 9, 0]
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];
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return ( <button onClick={() => {
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/* create worksheet */
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var ws = XLSX.utils.aoa_to_sheet(aoa);
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/* create workbook and export */
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var wb = XLSX.utils.book_new();
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XLSX.utils.book_append_sheet(wb, ws, "Sheet1");
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XLSX.writeFile(wb, "SheetJSExportAOA.xlsx");
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}}>Click to export Array of Arrays</button> );
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}
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```
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**Add data from an array of arrays to an existing worksheet**
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```js
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XLSX.utils.sheet_add_aoa(ws, aoa, opts);
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```
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`XLSX.utils.sheet_add_aoa` takes an array of arrays of JS values and updates an
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existing worksheet object. It follows the same process as `aoa_to_sheet` and
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accepts an options argument:
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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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|`sheetStubs` | false | Create cell objects of type `z` for `null` values |
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|`nullError` | false | If true, emit `#NULL!` error cells for `null` values |
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|`origin` | | Use specified cell as starting point (see below) |
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|`UTC` | false | If true, dates are interpreted using UTC methods ** |
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[UTC option is explained in "Dates"](/docs/csf/features/dates#utc-option)
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`origin` is expected to be one of:
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| `origin` | Description |
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| :--------------- | :-------------------------------------------------------- |
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| (cell object) | Use specified cell (cell object) |
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| (string) | Use specified cell (A1-Style cell) |
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| (number >= 0) | Start from the first column at specified row (0-indexed) |
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| -1 | Append to bottom of worksheet starting on first column |
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| (default) | Start from cell `A1` |
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2023-06-14 19:32:34 +00:00
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The [example worksheet](#example-sheet) can be built up in the following order:
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2024-04-12 01:04:37 +00:00
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<table>
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<thead><tr><th>Spreadsheet</th><th>Operations</th></tr></thead>
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<tbody><tr><td>
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<table>
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<tr {...r}><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 {...b}>1</td><td {...b}>2</td><td> </td><td> </td><td {...g}>5</td><td {...g}>6</td><td {...g}>7</td></tr>
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<tr><td {...b}>2</td><td {...b}>3</td><td> </td><td> </td><td {...g}>6</td><td {...g}>7</td><td {...g}>8</td></tr>
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<tr><td {...b}>3</td><td {...b}>4</td><td> </td><td> </td><td {...g}>7</td><td {...g}>8</td><td {...g}>9</td></tr>
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<tr {...y}><td>4</td><td>5</td><td>6</td><td>7</td><td>8</td><td>9</td><td>0</td></tr>
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</table>
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</td><td>
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2023-09-27 21:58:41 +00:00
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0) `aoa_to_sheet([[]])` creates an empty worksheet
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1) `sheet_add_aoa` writes `A1:G1` (red)
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2) `sheet_add_aoa` writes `A2:B4` (blue)
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3) `sheet_add_aoa` writes `E2:G4` (green)
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4) `sheet_add_aoa` writes `A5:G5` (yellow)
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</td></tr></tbody></table>
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```js
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/* Start from an empty worksheet */
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var ws = XLSX.utils.aoa_to_sheet([[]]);
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/* First row */
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XLSX.utils.sheet_add_aoa(ws, [ "SheetJS".split("") ], {origin: "A1"});
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/* Write data starting at A2 */
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XLSX.utils.sheet_add_aoa(ws, [[1,2], [2,3], [3,4]], {origin: "A2"});
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/* Write data starting at E2 */
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XLSX.utils.sheet_add_aoa(ws, [[5,6,7], [6,7,8], [7,8,9]], {origin:{r:1, c:4}});
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/* Append row */
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XLSX.utils.sheet_add_aoa(ws, [[4,5,6,7,8,9,0]], {origin: -1});
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```
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```jsx live
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function SheetJSAddAOA() { return ( <button onClick={() => {
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/* Start from an empty worksheet */
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var ws = XLSX.utils.aoa_to_sheet([[]]);
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/* First row */
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XLSX.utils.sheet_add_aoa(ws, [ "SheetJS".split("") ], {origin: "A1"});
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/* Write data starting at A2 */
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XLSX.utils.sheet_add_aoa(ws, [[1,2], [2,3], [3,4]], {origin: "A2"});
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/* Write data starting at E2 */
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XLSX.utils.sheet_add_aoa(ws, [[5,6,7], [6,7,8], [7,8,9]], {origin:{r:1, c:4}});
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/* Append row */
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XLSX.utils.sheet_add_aoa(ws, [[4,5,6,7,8,9,0]], {origin: -1});
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/* create workbook and export */
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var wb = XLSX.utils.book_new();
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XLSX.utils.book_append_sheet(wb, ws, "Sheet1");
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XLSX.writeFile(wb, "SheetJSAddAOA.xlsx");
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}}>Click to export Array of Arrays</button> ); }
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```
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### Array of Objects Input
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**Create a worksheet from an array of objects**
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```js
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var ws = XLSX.utils.json_to_sheet(aoo, opts);
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```
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`XLSX.utils.json_to_sheet` takes an array of objects and returns a worksheet
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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`. The function accepts an options argument:
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| Option Name | Default | Description |
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| :---------- | :-----: | :--------------------------------------------------- |
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|`header` | | Use specified field 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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|`skipHeader` | false | If true, do not include header row in output |
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|`nullError` | false | If true, emit `#NULL!` error cells for `null` values |
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|`UTC` | false | If true, dates are interpreted using UTC methods ** |
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|`dense` | false | Emit [dense sheets](/docs/csf/sheet#dense-mode) |
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[UTC option is explained in "Dates"](/docs/csf/features/dates#utc-option)
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:::caution pass
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All fields from each row will be written! `header` hints at a particular order
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but is not exclusive. To remove fields from the export, filter the data source.
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|
|
Some data sources have special options to filter properties. For example,
|
|
|
|
MongoDB will add the `_id` field when finding data from a collection:
|
|
|
|
|
|
|
|
```js
|
|
|
|
const aoo_with_id = await coll.find({}).toArray();
|
|
|
|
const ws = XLSX.utils.json_to_sheet(aoo_with_id); // includes _id column
|
|
|
|
```
|
|
|
|
|
|
|
|
This can be filtered out through the `projection` property:
|
|
|
|
|
|
|
|
```js
|
|
|
|
const aoo = await coll.find({}, {projection:{_id:0}}).toArray(); // no _id !
|
|
|
|
const ws = XLSX.utils.json_to_sheet(aoo);
|
|
|
|
```
|
|
|
|
|
|
|
|
If a data source does not provide a filter option, it can be filtered manually:
|
|
|
|
|
|
|
|
```js
|
|
|
|
const aoo = data.map(obj => Object.fromEntries(Object.entries(obj).filter(r => headers.indexOf(r[0]) > -1)));
|
|
|
|
```
|
|
|
|
|
|
|
|
:::
|
|
|
|
|
|
|
|
- If `header` is an array, missing keys will be added in order of first use.
|
|
|
|
- Cell types are deduced from the type of each value. For example, a `Date`
|
|
|
|
object will generate a Date cell, while a string will generate a Text cell.
|
|
|
|
- Null values will be skipped by default. If `nullError` is true, an error cell
|
|
|
|
corresponding to `#NULL!` will be written to the worksheet.
|
|
|
|
|
2023-06-14 19:32:34 +00:00
|
|
|
```jsx live
|
|
|
|
function SheetJSExportAOO() {
|
|
|
|
/* array of arrays of data */
|
|
|
|
var aoo = [
|
|
|
|
{ Name: "Bill Clinton", Index: 42 },
|
|
|
|
{ Name: "GeorgeW Bush", Index: 43 },
|
|
|
|
{ Name: "Barack Obama", Index: 44 },
|
|
|
|
{ Name: "Donald Trump", Index: 45 },
|
|
|
|
{ Name: "Joseph Biden", Index: 46 }
|
|
|
|
];
|
|
|
|
return ( <button onClick={() => {
|
|
|
|
/* create worksheet */
|
|
|
|
var ws = XLSX.utils.json_to_sheet(aoo);
|
|
|
|
/* create workbook and export */
|
|
|
|
var wb = XLSX.utils.book_new();
|
|
|
|
XLSX.utils.book_append_sheet(wb, ws, "Sheet1");
|
|
|
|
XLSX.writeFile(wb, "SheetJSExportAOO.xlsx");
|
|
|
|
}}>Click to export Array of Objects</button> );
|
|
|
|
}
|
|
|
|
```
|
|
|
|
|
|
|
|
|
2023-09-19 19:08:29 +00:00
|
|
|
:::info pass
|
2023-06-14 19:32:34 +00:00
|
|
|
|
|
|
|
The [example sheet](#example-sheet) cannot be reproduced using plain objects
|
|
|
|
since JS object keys must be unique.
|
|
|
|
|
|
|
|
Typically the original data source will have different column names. After
|
|
|
|
writing with `json_to_sheet`, the `aoa_to_sheet` method can rewrite the headers:
|
2023-06-13 17:49:52 +00:00
|
|
|
|
|
|
|
```js
|
2023-06-14 19:32:34 +00:00
|
|
|
/* original array of objects */
|
|
|
|
var data = [
|
2023-06-13 17:49:52 +00:00
|
|
|
{ S:1, h:2, t:5, J:6, S_1:7 },
|
|
|
|
{ S:2, h:3, t:6, J:7, S_1:8 },
|
|
|
|
{ S:3, h:4, t:7, J:8, S_1:9 },
|
|
|
|
{ S:4, h:5, e:6, e_1:7, t:8, J:9, S_1:0 },
|
2023-06-14 19:32:34 +00:00
|
|
|
];
|
2023-06-13 17:49:52 +00:00
|
|
|
|
2023-06-14 19:32:34 +00:00
|
|
|
/* column order for the generated worksheet */
|
|
|
|
// | A | B | C | D | E | F | G |
|
|
|
|
var data_headers = [ "S", "h", "e", "e_1", "t", "J", "S_1" ];
|
2023-06-13 17:49:52 +00:00
|
|
|
|
2023-06-14 19:32:34 +00:00
|
|
|
/* new headers for the first row of the worksheet */
|
|
|
|
// | A | B | C | D | E | F | G |
|
|
|
|
var new_headers = [ "S", "h", "e", "e", "t", "J", "S" ];
|
|
|
|
|
|
|
|
/* write data with using data headers */
|
|
|
|
var ws = XLSX.utils.json_to_sheet(data, { header: data_headers });
|
|
|
|
|
|
|
|
/* replace first row */
|
|
|
|
XLSX.utils.sheet_add_aoa(worksheet, [new_headers], { origin: "A1" });
|
2023-06-13 17:49:52 +00:00
|
|
|
```
|
|
|
|
|
2023-06-14 19:32:34 +00:00
|
|
|
:::
|
|
|
|
|
2023-06-13 17:49:52 +00:00
|
|
|
**Add data from an array of objects to an existing worksheet**
|
|
|
|
|
|
|
|
```js
|
|
|
|
XLSX.utils.sheet_add_json(ws, aoo, opts);
|
|
|
|
```
|
|
|
|
|
|
|
|
`XLSX.utils.sheet_add_json` takes an array of objects and updates an existing
|
|
|
|
worksheet object. It follows the same process as `json_to_sheet` and accepts
|
|
|
|
an options argument:
|
|
|
|
|
|
|
|
| Option Name | Default | Description |
|
|
|
|
| :---------- | :-----: | :--------------------------------------------------- |
|
|
|
|
|`header` | | Use specified column order (default `Object.keys`) |
|
|
|
|
|`dateNF` | FMT 14 | Use specified date format in string output |
|
|
|
|
|`cellDates` | false | Store dates as type `d` (default is `n`) |
|
|
|
|
|`skipHeader` | false | If true, do not include header row in output |
|
|
|
|
|`nullError` | false | If true, emit `#NULL!` error cells for `null` values |
|
|
|
|
|`origin` | | Use specified cell as starting point (see below) |
|
2023-06-23 20:24:44 +00:00
|
|
|
|`UTC` | false | If true, dates are interpreted using UTC methods ** |
|
|
|
|
|
|
|
|
[UTC option is explained in "Dates"](/docs/csf/features/dates#utc-option)
|
2023-06-13 17:49:52 +00:00
|
|
|
|
|
|
|
`origin` is expected to be one of:
|
|
|
|
|
|
|
|
| `origin` | Description |
|
|
|
|
| :--------------- | :-------------------------------------------------------- |
|
|
|
|
| (cell object) | Use specified cell (cell object) |
|
|
|
|
| (string) | Use specified cell (A1-Style cell) |
|
|
|
|
| (number >= 0) | Start from the first column at specified row (0-indexed) |
|
|
|
|
| -1 | Append to bottom of worksheet starting on first column |
|
|
|
|
| (default) | Start from cell `A1` |
|
|
|
|
|
|
|
|
|
|
|
|
This example worksheet can be built up in the order `A1:G1, A2:B4, E2:G4, A5:G5`:
|
|
|
|
|
|
|
|
```js
|
2023-09-27 21:58:41 +00:00
|
|
|
/* Start from an empty worksheet */
|
|
|
|
var ws = XLSX.utils.aoa_to_sheet([[]]);
|
|
|
|
|
|
|
|
/* Header order */
|
|
|
|
var header = ["A", "B", "C", "D", "E", "F", "G"];
|
|
|
|
|
|
|
|
/* First row */
|
|
|
|
XLSX.utils.sheet_add_json(ws, [
|
2023-06-13 17:49:52 +00:00
|
|
|
{ A: "S", B: "h", C: "e", D: "e", E: "t", F: "J", G: "S" }
|
2023-09-27 21:58:41 +00:00
|
|
|
], {header: header, skipHeader: true});
|
2023-06-13 17:49:52 +00:00
|
|
|
|
|
|
|
/* Write data starting at A2 */
|
|
|
|
XLSX.utils.sheet_add_json(ws, [
|
|
|
|
{ A: 1, B: 2 }, { A: 2, B: 3 }, { A: 3, B: 4 }
|
2023-09-27 21:58:41 +00:00
|
|
|
], {header: header, skipHeader: true, origin: "A2"});
|
2023-06-13 17:49:52 +00:00
|
|
|
|
|
|
|
/* Write data starting at E2 */
|
|
|
|
XLSX.utils.sheet_add_json(ws, [
|
|
|
|
{ A: 5, B: 6, C: 7 }, { A: 6, B: 7, C: 8 }, { A: 7, B: 8, C: 9 }
|
2023-09-27 21:58:41 +00:00
|
|
|
], {header: ["A", "B", "C"], skipHeader: true, origin: { r: 1, c: 4 }});
|
2023-06-13 17:49:52 +00:00
|
|
|
|
|
|
|
/* Append row */
|
|
|
|
XLSX.utils.sheet_add_json(ws, [
|
|
|
|
{ A: 4, B: 5, C: 6, D: 7, E: 8, F: 9, G: 0 }
|
2023-09-27 21:58:41 +00:00
|
|
|
], {header: header, skipHeader: true, origin: -1});
|
2023-06-13 17:49:52 +00:00
|
|
|
```
|
|
|
|
|
2023-09-24 03:59:48 +00:00
|
|
|
:::note pass
|
2023-06-13 17:49:52 +00:00
|
|
|
|
|
|
|
If the `header` option is an array, `sheet_add_json` and `sheet_to_json` will
|
|
|
|
append missing elements.
|
|
|
|
|
|
|
|
This design enables consistent header order across calls:
|
|
|
|
|
|
|
|
```jsx live
|
|
|
|
function SheetJSHeaderOrder() {
|
|
|
|
/* Use shared header */
|
|
|
|
const header = [];
|
|
|
|
const ws1 = XLSX.utils.json_to_sheet([ {C: 2, D: 3}, ], {header});
|
|
|
|
XLSX.utils.sheet_add_json(ws1, [ {D: 1, C: 4}, ], {header, origin: -1, skipHeader: true});
|
|
|
|
|
|
|
|
/* only use header in first call */
|
|
|
|
const ws2 = XLSX.utils.json_to_sheet([ {C: 2, D: 3}, ], {header:[]});
|
|
|
|
XLSX.utils.sheet_add_json(ws2, [ {D: 1, C: 4}, ], {origin: -1, skipHeader: true});
|
|
|
|
|
|
|
|
return (<pre>
|
|
|
|
<b>Objects</b>
|
|
|
|
{"\n[\n { C: 2, D: 3 },\n { D: 1, C: 4 } // different key order\n]\n"}<br/>
|
|
|
|
<b>Worksheet when same `header` array is passed to `sheet_add_json`</b>
|
|
|
|
<div dangerouslySetInnerHTML={{__html:XLSX.utils.sheet_to_html(ws1)}}/>
|
|
|
|
<i>New contents of `header`</i><br/>
|
|
|
|
{JSON.stringify(header)}<br/>
|
|
|
|
<br/>
|
|
|
|
<b>Worksheet when no `header` property is passed to `sheet_add_json`</b>
|
|
|
|
<div dangerouslySetInnerHTML={{__html:XLSX.utils.sheet_to_html(ws2)}}/>
|
|
|
|
</pre>)
|
|
|
|
}
|
|
|
|
```
|
|
|
|
|
|
|
|
:::
|
|
|
|
|
2023-06-14 19:32:34 +00:00
|
|
|
### Array Output
|
2023-06-13 17:49:52 +00:00
|
|
|
|
|
|
|
<Tabs>
|
|
|
|
<TabItem name="JS" value="JavaScript">
|
|
|
|
|
|
|
|
```js
|
|
|
|
var arr = XLSX.utils.sheet_to_json(ws, opts);
|
|
|
|
|
|
|
|
var aoa = XLSX.utils.sheet_to_json(ws, {header: 1, ...other_opts});
|
|
|
|
```
|
|
|
|
|
|
|
|
</TabItem>
|
|
|
|
<TabItem name="TS" value="TypeScript">
|
|
|
|
|
2023-09-24 03:59:48 +00:00
|
|
|
:::caution pass
|
2023-06-13 17:49:52 +00:00
|
|
|
|
|
|
|
TypeScript types are purely informational. They are not included at run time
|
|
|
|
and do not influence the behavior of the `sheet_to_json` function.
|
|
|
|
|
|
|
|
**`sheet_to_json` does not perform field validation!**
|
|
|
|
|
|
|
|
:::
|
|
|
|
|
|
|
|
The main type signature treats each row as `any`:
|
|
|
|
|
|
|
|
```ts
|
|
|
|
const data: any[] = XLSX.utils.sheet_to_json(ws, opts);
|
|
|
|
```
|
|
|
|
|
|
|
|
The `any[][]` overload is designed for use with `header: 1` (array of arrays):
|
|
|
|
|
|
|
|
```ts
|
|
|
|
const aoa: any[][] = XLSX.utils.sheet_to_json(ws, { header: 1, ...other_opts });
|
|
|
|
```
|
|
|
|
|
|
|
|
An interface can be passed as a generic parameter. `sheet_to_json` will still
|
|
|
|
return an array of plain objects (the types do not affect runtime behavior):
|
|
|
|
|
|
|
|
```ts
|
|
|
|
interface President {
|
|
|
|
Name: string;
|
|
|
|
Index: number;
|
|
|
|
}
|
|
|
|
|
|
|
|
const data: President[] = XLSX.utils.sheet_to_json<President>(ws);
|
|
|
|
```
|
|
|
|
|
|
|
|
</TabItem>
|
|
|
|
</Tabs>
|
|
|
|
|
|
|
|
`XLSX.utils.sheet_to_json` generates an array of JS objects. The function takes
|
|
|
|
an options argument:
|
|
|
|
|
|
|
|
| Option Name | Default | Description |
|
|
|
|
| :---------- | :------: | :-------------------------------------------------- |
|
|
|
|
|`raw` | `true` | Use raw values (true) or formatted strings (false) |
|
|
|
|
|`range` | ** | Override Range (see table below) |
|
|
|
|
|`header` | | Control output format (see table below) |
|
|
|
|
|`dateNF` | FMT 14 | Use specified date format in string output |
|
|
|
|
|`defval` | | Use specified value in place of null or undefined |
|
|
|
|
|`blankrows` | ** | Include blank lines in the output ** |
|
2023-09-20 21:53:18 +00:00
|
|
|
|`skipHidden` | false | Do not generate objects for hidden rows/columns |
|
2023-06-23 20:24:44 +00:00
|
|
|
|`UTC` | false | If true, dates will be correct in UTC ** |
|
2023-06-13 17:49:52 +00:00
|
|
|
|
|
|
|
- `raw` only affects cells which have a format code (`.z`) field or a formatted
|
|
|
|
text (`.w`) field.
|
|
|
|
- If `header` is specified, the first row is considered a data row; if `header`
|
|
|
|
is not specified, the first row is the header row and not considered data.
|
|
|
|
- When `header` is not specified, the conversion will automatically disambiguate
|
|
|
|
header entries by affixing `_` and a count starting at `1`. For example, if
|
|
|
|
three columns have header `foo` the output fields are `foo`, `foo_1`, `foo_2`
|
|
|
|
- `null` values are returned when `raw` is true but are skipped when false.
|
|
|
|
- If `defval` is not specified, null and undefined values are skipped normally.
|
|
|
|
If specified, all null and undefined points will be filled with `defval`
|
|
|
|
- When `header` is `1`, the default is to generate blank rows. `blankrows` must
|
|
|
|
be set to `false` to skip blank rows.
|
|
|
|
- When `header` is not `1`, the default is to skip blank rows. `blankrows` must
|
|
|
|
be true to generate blank rows
|
2023-06-23 20:24:44 +00:00
|
|
|
- [UTC option is explained in "Dates"](/docs/csf/features/dates#utc-option)
|
|
|
|
|
2023-06-13 17:49:52 +00:00
|
|
|
|
|
|
|
`range` is expected to be one of:
|
|
|
|
|
|
|
|
| `range` | Description |
|
|
|
|
| :--------------- | :-------------------------------------------------------- |
|
|
|
|
| (number) | Use worksheet range but set starting row to the value |
|
|
|
|
| (string) | Use specified range (A1-Style bounded range string) |
|
|
|
|
| (default) | Use worksheet range (`ws['!ref']`) |
|
|
|
|
|
|
|
|
`header` is expected to be one of:
|
|
|
|
|
|
|
|
| `header` | Description |
|
|
|
|
| :--------------- | :-------------------------------------------------------- |
|
|
|
|
| `1` | Generate an array of arrays |
|
|
|
|
| `"A"` | Row object keys are literal column labels |
|
|
|
|
| array of strings | Use specified strings as keys in row objects |
|
|
|
|
| (default) | Read and disambiguate first row as keys |
|
|
|
|
|
|
|
|
- If header is not `1`, the row object will contain the non-enumerable property
|
|
|
|
`__rowNum__` that represents the row of the sheet corresponding to the entry.
|
|
|
|
- If header is an array, the keys will not be disambiguated. This can lead to
|
|
|
|
unexpected results if the array values are not unique!
|
|
|
|
|
|
|
|
For the example worksheet:
|
|
|
|
|
|
|
|
```jsx live
|
|
|
|
function SheetJSToJSON() {
|
|
|
|
/* original data */
|
|
|
|
var ws = XLSX.utils.aoa_to_sheet([
|
|
|
|
["S", "h", "e", "e", "t", "J", "S"],
|
|
|
|
[ 1, 2, , , 5, 6, 7],
|
|
|
|
[ 2, 3, , , 6, 7, 8],
|
|
|
|
[ 3, 4, , , 7, 8, 9],
|
|
|
|
[ 4, 5, 6, 7, 8, 9, 0]
|
|
|
|
]);
|
|
|
|
|
|
|
|
/* display JS objects with some whitespace */
|
|
|
|
const aoo = o => o.map(r => " " + JSON.stringify(r).replace(/,"/g, ', "').replace(/:/g, ": ").replace(/"([A-Za-z_]\w*)":/g, '$1:')).join("\n");
|
|
|
|
const aoa = o => o.map(r => " " + JSON.stringify(r).replace(/,/g, ', ').replace(/null/g, "")).join("\n");
|
|
|
|
|
|
|
|
return ( <pre>
|
|
|
|
<b>Worksheet (as HTML)</b>
|
|
|
|
<div dangerouslySetInnerHTML={{__html: XLSX.utils.sheet_to_html(ws)}}/>
|
|
|
|
<b>XLSX.utils.sheet_to_json(ws, {'{'} header: 1 {'}'}) [array of arrays]</b><br/>
|
|
|
|
[<br/>{aoa(XLSX.utils.sheet_to_json(ws, { header: 1 }))}<br/>]<br/><br/>
|
|
|
|
<b>XLSX.utils.sheet_to_json(ws) [objects with header disambiguation]</b><br/>
|
|
|
|
[<br/>{aoo(XLSX.utils.sheet_to_json(ws))}<br/>]<br/><br/>
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<b>XLSX.utils.sheet_to_json(ws, {'{'} header: "A" {'}'}) [column names as keys]</b><br/>
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[<br/>{aoo(XLSX.utils.sheet_to_json(ws, { header: "A" }))}<br/>]<br/><br/>
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<b>XLSX.utils.sheet_to_json(ws, {'{'} header: ["A","E","I","O","U","6","9"] {'}'})</b><br/>
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[<br/>{aoo(XLSX.utils.sheet_to_json(ws, { header: ["A","E","I","O","U","6","9"] }))}<br/>]<br/>
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</pre> );
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}
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```
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