Overview

Data validation is a feature that you can use to define restrictions on what data can or should be entered in a cell. You can configure data validation to prevent users from entering data that is not valid. This can be particularly useful if you have a form connected to a database that you want to allow users to enter data in, but you want to restrict the input to fit the restrictions in your database.

<p>To add a data validator to a sheet, create a validator and then add it to the sheet. For example:</p> <pre><code class="hljs js language-js"> <span class="hljs-keyword">var</span> dv1 = <span class="hljs-keyword">new</span> GC.Spread.Sheets.DataValidation.createListValidator(<span class="hljs-string">'Fruit,Vegetable,Food'</span>); dv1.inputTitle(<span class="hljs-string">'Please choose a category:'</span>); dv1.inputMessage(<span class="hljs-string">'Fruit, Vegetable, Food'</span>); sheet.setDataValidator(<span class="hljs-number">1</span>,<span class="hljs-number">1</span>, dv1); </code></pre> <p>You can create six kinds of validators, as follows.</p> <ul> <li><strong>createNumberValidator: Creates a validator based on numbers.</strong></li> <li><strong>createDateValidator: Creates a validator based on the data.</strong></li> <li><strong>createTextLengthValidator: Creates a validator based on text length.</strong></li> <li><strong>createFormulaValidator: Creates a validator based on a formula.</strong></li> <li><strong>createFormulaListValidator: Creates a validator based on a formula list.</strong></li> <li><strong>createListValidator: Creates a validator based on a list.</strong></li> </ul> <p>After you set a validator to a cell, you can use the <strong>getDataValidator</strong> method to get the cell data validator. And you can use the <strong>isValid</strong> method to determine whether the cell value is valid. For example:</p> <pre><code class="hljs js language-js"> sheet.isValid(<span class="hljs-number">1</span>, <span class="hljs-number">1</span>, <span class="hljs-string">'Fruit'</span>); <span class="hljs-comment">// true</span> <span class="hljs-keyword">var</span> validList = sheet.getDataValidator(<span class="hljs-number">1</span>, <span class="hljs-number">1</span>); validList.isValid(sheet, <span class="hljs-number">1</span>, <span class="hljs-number">1</span>, <span class="hljs-string">'Fruit'</span>) <span class="hljs-comment">// clear the data validator</span> sheet.setDataValidator(<span class="hljs-number">1</span>, <span class="hljs-number">1</span>, <span class="hljs-literal">null</span>); </code></pre> <p>You can use the <strong>highlightInvalidData</strong> option to get and set whether to highlight invalid data. If you set it to true, then if your value is not valid there will be a red circle on the cell.</p> <pre><code class="hljs js language-js"> spread.options.highlightInvalidData = <span class="hljs-literal">true</span>; </code></pre>
var spreadNS = GC.Spread.Sheets; window.onload = function() { var spread = new GC.Spread.Sheets.Workbook(document.getElementById("ss"), { sheetCount: 2 }); initSpread(spread); }; function initSpread(spread) { var sheet = spread.getSheet(0); sheet.suspendPaint(); loadData(spread); setValidator(spread); sheet.resumePaint(); document.getElementById("highlightInvalidData").checked = spread.options.highlightInvalidData; document.getElementById("highlightInvalidData").addEventListener('click', function() { spread.options.highlightInvalidData = document.getElementById("highlightInvalidData").checked; }); }; function loadData(spread) { var sheet = spread.getActiveSheet(); sheet.setRowHeight(3, 40); sheet.setValue(3, 0, "Shopping Place"); var title = sheet.getCell(3, 0); title.font("bold 20px arial"); title.vAlign(spreadNS.VerticalAlign.center); title.backColor("#D1CBC5"); sheet.setColumnWidth(0, 160); sheet.setColumnWidth(1, 35); sheet.getRange(3, 0, 3, 1).setBorder(new spreadNS.LineBorder("Black", spreadNS.LineStyle.thin), { all: true }); sheet.setValue(4, 0, "Food Shop"); sheet.setValue(5, 0, "Other"); sheet.getCell(4, 0).font("bold 15px arial"); sheet.getCell(5, 0).font("bold 15px arial"); var startRow = 3; var startCol = 1; sheet.addSpan(startRow + 0, startCol + 0, 1, 4); sheet.setRowHeight(startRow + 0, 40); sheet.setValue(startRow + 0, startCol + 0, "Goods List"); var title = sheet.getCell(startRow + 0, startCol + 0); title.font("bold 30px arial"); title.vAlign(spreadNS.VerticalAlign.center); title.backColor("#D1CBC5"); sheet.setColumnWidth(startCol + 0, 100); sheet.setColumnWidth(startCol + 1, 100); sheet.setColumnWidth(startCol + 2, 100); sheet.setColumnWidth(startCol + 3, 120); sheet.getRange(startRow + 0, startCol + 0, 8, 4).setBorder(new spreadNS.LineBorder("Black", spreadNS.LineStyle.thin), { all: true }); sheet.setValue(startRow + 1, startCol + 0, "Name"); sheet.setValue(startRow + 1, startCol + 1, "Category"); sheet.setValue(startRow + 1, startCol + 2, "Price"); sheet.setValue(startRow + 1, startCol + 3, "Shopping Place"); for (var i = 0; i < 4; i++) { sheet.getCell(startRow + 1, startCol + i).font("bold 15px arial"); } sheet.setValue(startRow + 2, startCol + 0, "Apple"); sheet.setValue(startRow + 3, startCol + 0, "Potato"); sheet.setValue(startRow + 4, startCol + 0, "Tomato"); sheet.setValue(startRow + 5, startCol + 0, "Sandwich"); sheet.setValue(startRow + 6, startCol + 0, "Hamburger"); sheet.setValue(startRow + 7, startCol + 0, "Grape"); sheet.setValue(startRow + 2, startCol + 1, "Fruit"); sheet.setValue(startRow + 3, startCol + 1, "Vegetable"); sheet.setValue(startRow + 4, startCol + 1, "Vegetable"); sheet.setValue(startRow + 5, startCol + 1, "Food"); sheet.setValue(startRow + 6, startCol + 1, "Food"); sheet.setValue(startRow + 7, startCol + 1, "Fruit"); sheet.setValue(startRow + 2, startCol + 2, 1.00); sheet.setValue(startRow + 3, startCol + 2, 2.01); sheet.setValue(startRow + 4, startCol + 2, 3.21); sheet.setValue(startRow + 5, startCol + 2, 2); sheet.setValue(startRow + 6, startCol + 2, 2); sheet.setValue(startRow + 7, startCol + 2, 4); var myFormatter = new GC.Spread.Formatter.GeneralFormatter("$#,##0.00;[Red] $#,##0.00"); for (var i = 2; i < 8; i++) { sheet.getCell(startRow + i, startCol + 2).formatter(myFormatter); } sheet.setValue(startRow + 2, startCol + 3, "Grocery Store"); sheet.setValue(startRow + 3, startCol + 3, "Other"); sheet.setValue(startRow + 4, startCol + 3, "Other"); sheet.setValue(startRow + 5, startCol + 3, "Grocery Store"); sheet.setValue(startRow + 6, startCol + 3, "Grocery Store"); sheet.setValue(startRow + 7, startCol + 3, "Other"); //set invalid data sheet.setValue(6, 2, "sss"); sheet.setValue(10, 4, "Sun Store"); } function setValidator(spread) { var sheet = spread.getActiveSheet(); spread.options.highlightInvalidData = true; //ListValidator var dv1 = new spreadNS.DataValidation.createListValidator("Fruit,Vegetable,Food"); dv1.inputTitle("Please choose a category:"); dv1.inputMessage("Fruit, Vegetable, Food"); dv1.highlightStyle({ type: GC.Spread.Sheets.DataValidation.HighlightType.icon, color: "gold", position: GC.Spread.Sheets.DataValidation.HighlightPosition.outsideRight, }); for (var i = 5; i < 11; i++) { sheet.setDataValidator(i, 2, dv1); } //FormulaListValidator var dv2 = new spreadNS.DataValidation.createFormulaListValidator("$A$5:$A$6") for (var i = 5; i < 11; i++) { sheet.setDataValidator(i, 4, dv2); } sheet.setValue(14, 0, "ValidationList Comma Support"); //Validation List Support Comma sheet.setValue(14, 2, "Amount of money"); var dv3 = new GC.Spread.Sheets.DataValidation.createListValidator("123\\,456,234\\,567,789\\,564"); dv3.inputTitle("Please choose a number:"); dv3.inputMessage("Amount of money"); dv3.highlightStyle({ type: GC.Spread.Sheets.DataValidation.HighlightType.dogEar, color: "green", position: GC.Spread.Sheets.DataValidation.HighlightPosition.topRight }); sheet.setDataValidator(14, 2, dv3); sheet.setValue(14, 4, "Calculation operators"); var dv4 = new GC.Spread.Sheets.DataValidation.createListValidator("\\,,>,<,*,/"); dv4.inputTitle("Please choose a operator:"); dv4.inputMessage("Calculation operators"); dv4.highlightStyle({ type: GC.Spread.Sheets.DataValidation.HighlightType.icon, color: "yellow", position: GC.Spread.Sheets.DataValidation.HighlightPosition.outsideLeft, image: 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}); sheet.setDataValidator(14, 4, dv4); }
<!doctype html> <html style="height:100%;font-size:14px;"> <head> <meta charset="utf-8" /> <meta name="viewport" content="width=device-width, initial-scale=1.0" /> <link rel="stylesheet" type="text/css" href="$DEMOROOT$/en/purejs/node_modules/@grapecity/spread-sheets/styles/gc.spread.sheets.excel2013white.css"> <script src="$DEMOROOT$/en/purejs/node_modules/@grapecity/spread-sheets/dist/gc.spread.sheets.all.min.js" type="text/javascript"></script> <script src="$DEMOROOT$/spread/source/js/license.js" type="text/javascript"></script> <script src="app.js" type="text/javascript"></script> <link rel="stylesheet" type="text/css" href="styles.css"> </head> <body> <div class="sample-tutorial"> <div id="ss" class="sample-spreadsheets"></div> <div class="options-container"> <div class="option-row"> <p>Try clicking on the checkbox for ‘Highlight invalid data’ to see how you can highlight data in Spread that isn’t valid in different ways.</p> <input type="checkbox" id="highlightInvalidData"/> <label for="highlightInvalidData">Highlight invalid data</label> </div> </div> </div> </body> </html>
.sample-tutorial { position: relative; height: 100%; overflow: hidden; } .sample-spreadsheets { width: calc(100% - 280px); height: 100%; overflow: hidden; float: left; } .options-container { float: right; width: 280px; padding: 12px; height: 100%; box-sizing: border-box; background: #fbfbfb; overflow: auto; } .option-row { font-size: 14px; padding: 4px; margin-top: 4px; } body { position: absolute; top: 0; bottom: 0; left: 0; right: 0; }