The sheet_to_json
utility function generates output arrays suitable for use
with other JS libraries such as data grids for previewing data. After extensive
testing, canvas-datagrid
stood out as a very high-performance grid with an incredibly simple API.
This demo is available at http://oss.sheetjs.com/sheetjs/datagrid.html
The canvas-datagrid
npm nodule includes a
minified script dist/canvas-datagrid.js
that can be directly inserted as a
script tag. The unpkg CDN also exposes the latest version:
<script src="https://unpkg.com/canvas-datagrid/dist/canvas-datagrid.js"></script>
The HTML document needs a container element:
<div id="gridctr"></div>
Grid initialization is a one-liner:
var grid = canvasDatagrid({
parentNode: document.getElementById('gridctr'),
data: []
});
For large data sets, it's necessary to constrain the size of the grid.
grid.style.height = '100%';
grid.style.width = '100%';
Once the workbook is read and the worksheet is selected, assigning the data variable automatically updates the view:
grid.data = XLSX.utils.sheet_to_json(ws, {header:1});
This demo previews the first worksheet.
canvas-datagrid
handles the entire edit cycle. No intervention is necessary.
grid.data
is immediately readable and can be converted back to a worksheet.
Some versions return an array-like object without the length, so a little bit of
preparation may be needed:
/* converts an array of array-like objects into an array of arrays */
function prep(arr) {
var out = [];
for(var i = 0; i < arr.length; ++i) {
if(!arr[i]) continue;
if(Array.isArray(arr[i])) { out[i] = arr[i]; continue };
var o = new Array();
Object.keys(arr[i]).forEach(function(k) { o[+k] = arr[i][k] });
out[i] = o;
}
return out;
}
/* build worksheet from the grid data */
var ws = XLSX.utils.aoa_to_sheet(prep(grid.data));
/* build up workbook */
var wb = XLSX.utils.book_new();
XLSX.utils.book_append_sheet(wb, ws, 'SheetJS');
/* generate download */
XLSX.writeFile(wb, "SheetJS.xlsx");
This demo barely scratches the surface. The underlying grid component includes many additional features including massive data streaming, sorting and styling.