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<!DOCTYPE html> |
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<html lang="en"> |
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<head> |
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<meta charset="utf-8"> |
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<title>Example: Scrolling DataTable</title> |
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<link rel="stylesheet" href="http://fonts.googleapis.com/css?family=PT+Sans:400,700,400italic,700italic"> |
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<link rel="stylesheet" href="../../build/cssgrids/cssgrids-min.css"> |
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<link rel="stylesheet" href="../assets/css/main.css"> |
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<link rel="stylesheet" href="../assets/vendor/prettify/prettify-min.css"> |
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<link rel="shortcut icon" type="image/png" href="../assets/favicon.png"> |
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<script src="../../build/yui/yui-min.js"></script> |
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</head> |
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<body> |
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<!-- |
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<a href="https://github.com/yui/yui3"><img style="position: absolute; top: 0; right: 0; border: 0;" src="https://s3.amazonaws.com/github/ribbons/forkme_right_darkblue_121621.png" alt="Fork me on GitHub"></a> |
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--> |
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<div id="doc"> |
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<div id="hd"> |
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<h1><img src="http://yuilibrary.com/img/yui-logo.png"></h1> |
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</div> |
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<h1>Example: Scrolling DataTable</h1> |
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<div class="yui3-g"> |
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<div class="yui3-u-3-4"> |
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<div id="main"> |
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<div class="content"><style scoped> |
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/* custom styles for this example */ |
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.example .yui3-datatable { |
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margin-bottom: 1em; |
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} |
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/* css to counter global site css */ |
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.example table { |
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width: auto; |
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} |
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.example caption { |
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display: table-caption; |
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} |
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.example th, |
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.example td { |
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text-transform: none; |
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border: 0 none; |
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} |
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</style> |
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<div class="intro"> |
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<p> |
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Datatables can be made to scroll along the x and y axes. Include |
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"<code>datatable-scroll</code>" in your <code>use()</code> line to enable the feature. |
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</p> |
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<p> |
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This example shows the basic scrolling configurations available. |
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</p> |
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<p> |
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<strong>Note:</strong> Scrolling is not currently supported on the |
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Android WebKit browser. |
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</p> |
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</div> |
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<h3> Vertically Scrolling Table</h3> |
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<div class="example yui3-skin-sam"> |
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<div id="scrolling-y" class="yui3-skin-sam tableDemo"></div> |
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</div> |
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<p> |
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Enable vertical scrolling by setting <code>scrollable</code> to "y" and assigning the |
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<code>height</code>. |
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</p> |
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<pre class="code prettyprint">YUI().use('datatable-scroll', function (Y) { |
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var state_census_data = [ ... ], |
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table; |
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table = new Y.DataTable({ |
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caption: "Y axis scrolling table", |
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columns: [ |
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{ key: "STATE", label: "State" }, |
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{ key: "TOTAL_POP", label: "Total Population" } |
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], |
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data: state_census_data, |
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scrollable: "y", |
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height:"200px" |
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}); |
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table.render('#scrolling-y'); |
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});</pre> |
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<h3>Horizontally Scrolling Table</h3> |
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<div class="example yui3-skin-sam"> |
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<div id="scrolling-x" class="tableDemo"></div> |
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</div> |
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<p> |
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Enable horizontal scrolling by setting <code>scrollable</code> to "x" and assigning |
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the <code>width</code>. |
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</p> |
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<pre class="code prettyprint">YUI().use('datatable-scroll', function (Y) { |
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var state_census_data = [ ... ], |
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table; |
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table = new Y.DataTable({ |
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caption: "X axis scrolling table", |
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columns: [ |
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{ key: "ANSI" }, |
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{ key: "STATE", label:"State" }, |
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{ key: "TOTAL_POP", label:"Total Population" }, |
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{ key: "LAND_AREA", label:"Land Area" }, |
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{ key: "POP_PER_SQ_MILE", label:"Pop/Square Mile" } |
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], |
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data: state_census_data.slice(0, 7), // truncated for the example |
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scrollable: "x", |
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width: "250px" |
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}); |
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table.render('#scrolling-x'); |
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});</pre> |
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<h3>Fully Scrolling Datatable</h3> |
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<div class="example yui3-skin-sam"> |
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<div id="scrolling-xy" class="tableDemo"></div> |
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</div> |
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<p> |
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Enable scrolling along both axes by setting <code>scrollable</code> to <code>true</code> or "xy" |
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and assigning both <code>height</code> and <code>width</code>. |
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</p> |
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<pre class="code prettyprint">YUI().use('datatable-scroll', function (Y) { |
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var state_census_data = [ ... ], |
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table; |
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table = new Y.DataTable({ |
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caption: "X and Y axis scrolling table", |
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columns: [ |
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{ key: "ANSI" }, |
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{ key: "STATE", label:"State" }, |
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{ key: "TOTAL_POP", label:"Total Population" }, |
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{ key: "LAND_AREA", label:"Land Area" }, |
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{ key: "POP_PER_SQ_MILE", label:"Pop/Square Mile" } |
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], |
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data: state_census_data, |
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scrollable: true, |
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width: "300px", |
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height: "150px" |
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}); |
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table.render('#scrolling-xy'); |
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});</pre> |
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<h3>Using Percentage Widths</h3> |
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<div class="example yui3-skin-sam"> |
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<div id="scrolling-100pct" class="tableDemo"></div> |
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</div> |
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<p> |
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Scrolling DataTables support percentage <code>width</code>s. The table above is |
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configured to scroll vertically with a <code>width</code> of "100%". |
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</p> |
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<pre class="code prettyprint">YUI().use('datatable-scroll', function (Y) { |
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var state_census_data = [ ... ], |
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table; |
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table = new Y.DataTable({ |
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caption: "100% width scrolling table", |
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columns: [ |
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{ key: "STATE", label: "State" }, |
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{ key: "TOTAL_POP", label: "Total Population" } |
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], |
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data: state_census_data, |
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scrollable: "y", |
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height:"200px", |
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width: "100%" |
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}); |
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table.render('#scrolling-100pct'); |
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});</pre> |
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<h3>The Data</h3> |
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<p> |
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This is the data that is used for each example table. The keys in each |
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tables' <code>columns</code> correspond with the keys in the data. |
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</p> |
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<pre class="code prettyprint">var sampleData = [ |
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{ ANSI: "00000", STATE: "UNITED STATES", TOTAL_POP: 307006550, LAND_AREA: 3537438.44, POP_PER_SQ_MILE: 79.6 }, |
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{ ANSI: "01000", STATE: "ALABAMA", TOTAL_POP: 4708708, LAND_AREA: 50744, POP_PER_SQ_MILE: 87.6 }, |
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{ ANSI: "02000", STATE: "ALASKA", TOTAL_POP: 698473, LAND_AREA: 571951.26, POP_PER_SQ_MILE: 1.1 }, |
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{ ANSI: "04000", STATE: "ARIZONA", TOTAL_POP: 6595778, LAND_AREA: 113634.57, POP_PER_SQ_MILE: 45.2 }, |
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... |
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];</pre> |
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<h3>Setting scrolling direction and dimensions</h3> |
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<p> |
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The values of <code>scrollable</code> and the respective dimensional attribute |
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determine the scrolling direction(s) of each datatable instance. |
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</p> |
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<p>Other things to consider are:</p> |
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<ol> |
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<li> |
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If a DataTable is configured with <code>scrollable</code> of "y", but the <code>height</code> |
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is not set, it will <strong>not</strong> be made scrollable. Likewise |
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for "x" and <code>width</code>. The respective dimension attribute is required. |
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</li> |
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<li> |
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If the configured <code>width</code> of an "x" or "xy" scrolling table is wider |
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than necessary to fit the data, the table width will be expanded to |
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the assigned <code>width</code>. |
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</li> |
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<li> |
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If a DataTable is configured with <code>scrollable</code> of "y", but the <code>width</code> |
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attribute is also set, DataTable will attempt to make the table that |
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wide. But if the table data doesn't fit within the configured width, |
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the table will expand naturally to fit the data. |
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</li> |
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</ol> |
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<h3>Full Code Listing</h3> |
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<p> |
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<strong>Note:</strong> be sure to add the <code>yui3-skin-sam</code> classname to the |
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page's <code><body></code> element or to a parent element of the widget in order to apply |
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the default CSS skin. See <a href="http://yuilibrary.com/yui/docs/tutorials/skins/">Understanding Skinning</a>. |
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</p> |
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<pre class="code prettyprint"><body class="yui3-skin-sam"> <!-- You need this skin class --></pre> |
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<pre class="code prettyprint">YUI().use('datatable-scroll', function (Y) { |
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var state_census_data = [ |
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{ ANSI: "00000", STATE: "UNITED STATES", TOTAL_POP: 307006550, LAND_AREA: 3537438.44, POP_PER_SQ_MILE: 79.6 }, |
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{ ANSI: "01000", STATE: "ALABAMA", TOTAL_POP: 4708708, LAND_AREA: 50744, POP_PER_SQ_MILE: 87.6 }, |
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{ ANSI: "02000", STATE: "ALASKA", TOTAL_POP: 698473, LAND_AREA: 571951.26, POP_PER_SQ_MILE: 1.1 }, |
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{ ANSI: "04000", STATE: "ARIZONA", TOTAL_POP: 6595778, LAND_AREA: 113634.57, POP_PER_SQ_MILE: 45.2 }, |
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{ ANSI: "05000", STATE: "ARKANSAS", TOTAL_POP: 2889450, LAND_AREA: 52068.17, POP_PER_SQ_MILE: 51.3 }, |
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{ ANSI: "06000", STATE: "CALIFORNIA", TOTAL_POP: 36961664, LAND_AREA: 155959.34, POP_PER_SQ_MILE: 217.2 }, |
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{ ANSI: "08000", STATE: "COLORADO", TOTAL_POP: 5024748, LAND_AREA: 103717.53, POP_PER_SQ_MILE: 41.5 }, |
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{ ANSI: "09000", STATE: "CONNECTICUT", TOTAL_POP: 3518288, LAND_AREA: 4844.8, POP_PER_SQ_MILE: 702.9 }, |
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{ ANSI: "10000", STATE: "DELAWARE", TOTAL_POP: 885122, LAND_AREA: 1953.56, POP_PER_SQ_MILE: 401 }, |
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{ ANSI: "11000", STATE: "DISTRICT OF COLUMBIA", TOTAL_POP: 599657, LAND_AREA: 61.4, POP_PER_SQ_MILE: 9378 }, |
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{ ANSI: "12000", STATE: "FLORIDA", TOTAL_POP: 18537969, LAND_AREA: 53926.82, POP_PER_SQ_MILE: 296.4 }, |
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{ ANSI: "13000", STATE: "GEORGIA", TOTAL_POP: 9829211, LAND_AREA: 57906.14, POP_PER_SQ_MILE: 141.4 }, |
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{ ANSI: "15000", STATE: "HAWAII", TOTAL_POP: 1295178, LAND_AREA: 6422.62, POP_PER_SQ_MILE: 188.6 }, |
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{ ANSI: "16000", STATE: "IDAHO", TOTAL_POP: 1545801, LAND_AREA: 82747.21, POP_PER_SQ_MILE: 15.6 }, |
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{ ANSI: "17000", STATE: "ILLINOIS", TOTAL_POP: 12910409, LAND_AREA: 55583.58, POP_PER_SQ_MILE: 223.4 }, |
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{ ANSI: "18000", STATE: "INDIANA", TOTAL_POP: 6423113, LAND_AREA: 35866.9, POP_PER_SQ_MILE: 169.5 }, |
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{ ANSI: "19000", STATE: "IOWA", TOTAL_POP: 3007856, LAND_AREA: 55869.36, POP_PER_SQ_MILE: 52.4 }, |
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{ ANSI: "20000", STATE: "KANSAS", TOTAL_POP: 2818747, LAND_AREA: 81814.88, POP_PER_SQ_MILE: 32.9 }, |
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{ ANSI: "21000", STATE: "KENTUCKY", TOTAL_POP: 4314113, LAND_AREA: 39728.18, POP_PER_SQ_MILE: 101.7 }, |
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{ ANSI: "22000", STATE: "LOUISIANA", TOTAL_POP: 4492076, LAND_AREA: 43561.85, POP_PER_SQ_MILE: 102.6 }, |
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{ ANSI: "23000", STATE: "MAINE", TOTAL_POP: 1318301, LAND_AREA: 30861.55, POP_PER_SQ_MILE: 41.3 }, |
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{ ANSI: "24000", STATE: "MARYLAND", TOTAL_POP: 5699478, LAND_AREA: 9773.82, POP_PER_SQ_MILE: 541.9 }, |
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{ ANSI: "25000", STATE: "MASSACHUSETTS", TOTAL_POP: 6593587, LAND_AREA: 7840.02, POP_PER_SQ_MILE: 809.8 }, |
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{ ANSI: "26000", STATE: "MICHIGAN", TOTAL_POP: 9969727, LAND_AREA: 56803.82, POP_PER_SQ_MILE: 175 }, |
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{ ANSI: "27000", STATE: "MINNESOTA", TOTAL_POP: 5266214, LAND_AREA: 79610.08, POP_PER_SQ_MILE: 61.8 }, |
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{ ANSI: "28000", STATE: "MISSISSIPPI", TOTAL_POP: 2951996, LAND_AREA: 46906.96, POP_PER_SQ_MILE: 60.6 }, |
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{ ANSI: "29000", STATE: "MISSOURI", TOTAL_POP: 5987580, LAND_AREA: 68885.93, POP_PER_SQ_MILE: 81.2 }, |
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{ ANSI: "30000", STATE: "MONTANA", TOTAL_POP: 974989, LAND_AREA: 145552.43, POP_PER_SQ_MILE: 6.2 }, |
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{ ANSI: "31000", STATE: "NEBRASKA", TOTAL_POP: 1796619, LAND_AREA: 76872.41, POP_PER_SQ_MILE: 22.3 }, |
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{ ANSI: "32000", STATE: "NEVADA", TOTAL_POP: 2643085, LAND_AREA: 109825.99, POP_PER_SQ_MILE: 18.2 }, |
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{ ANSI: "33000", STATE: "NEW HAMPSHIRE", TOTAL_POP: 1324575, LAND_AREA: 8968.1, POP_PER_SQ_MILE: 137.8 }, |
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{ ANSI: "34000", STATE: "NEW JERSEY", TOTAL_POP: 8707739, LAND_AREA: 7417.34, POP_PER_SQ_MILE: 1134.5}, |
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{ ANSI: "35000", STATE: "NEW MEXICO", TOTAL_POP: 2009671, LAND_AREA: 121355.53, POP_PER_SQ_MILE: 15 }, |
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{ ANSI: "36000", STATE: "NEW YORK", TOTAL_POP: 19541453, LAND_AREA: 47213.79, POP_PER_SQ_MILE: 401.9 }, |
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{ ANSI: "37000", STATE: "NORTH CAROLINA", TOTAL_POP: 9380884, LAND_AREA: 48710.88, POP_PER_SQ_MILE: 165.2 }, |
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{ ANSI: "38000", STATE: "NORTH DAKOTA", TOTAL_POP: 646844, LAND_AREA: 68975.93, POP_PER_SQ_MILE: 9.3 }, |
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{ ANSI: "39000", STATE: "OHIO", TOTAL_POP: 11542645, LAND_AREA: 40948.38, POP_PER_SQ_MILE: 277.3 }, |
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{ ANSI: "40000", STATE: "OKLAHOMA", TOTAL_POP: 3687050, LAND_AREA: 68667.06, POP_PER_SQ_MILE: 50.3 }, |
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{ ANSI: "41000", STATE: "OREGON", TOTAL_POP: 3825657, LAND_AREA: 95996.79, POP_PER_SQ_MILE: 35.6 }, |
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{ ANSI: "42000", STATE: "PENNSYLVANIA", TOTAL_POP: 12604767, LAND_AREA: 44816.61, POP_PER_SQ_MILE: 274 }, |
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{ ANSI: "44000", STATE: "RHODE ISLAND", TOTAL_POP: 1053209, LAND_AREA: 1044.93, POP_PER_SQ_MILE: 1003.2 }, |
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{ ANSI: "45000", STATE: "SOUTH CAROLINA", TOTAL_POP: 4561242, LAND_AREA: 30109.47, POP_PER_SQ_MILE: 133.2 }, |
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{ ANSI: "46000", STATE: "SOUTH DAKOTA", TOTAL_POP: 812383, LAND_AREA: 75884.64, POP_PER_SQ_MILE: 9.9 }, |
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{ ANSI: "47000", STATE: "TENNESSEE", TOTAL_POP: 6296254, LAND_AREA: 41217.12, POP_PER_SQ_MILE: 138 }, |
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{ ANSI: "48000", STATE: "TEXAS", TOTAL_POP: 24782302, LAND_AREA: 261797.12, POP_PER_SQ_MILE: 79.6 }, |
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290 |
{ ANSI: "49000", STATE: "UTAH", TOTAL_POP: 2784572, LAND_AREA: 82143.65, POP_PER_SQ_MILE: 27.2 }, |
|
|
291 |
{ ANSI: "50000", STATE: "VERMONT", TOTAL_POP: 621760, LAND_AREA: 9249.56, POP_PER_SQ_MILE: 65.8 }, |
|
|
292 |
{ ANSI: "51000", STATE: "VIRGINIA", TOTAL_POP: 7882590, LAND_AREA: 39594.07, POP_PER_SQ_MILE: 178.8 }, |
|
|
293 |
{ ANSI: "53000", STATE: "WASHINGTON", TOTAL_POP: 6664195, LAND_AREA: 66544.06, POP_PER_SQ_MILE: 88.6 }, |
|
|
294 |
{ ANSI: "54000", STATE: "WEST VIRGINIA", TOTAL_POP: 1819777, LAND_AREA: 24077.73, POP_PER_SQ_MILE: 75.1 }, |
|
|
295 |
{ ANSI: "55000", STATE: "WISCONSIN", TOTAL_POP: 5654774, LAND_AREA: 54310.1, POP_PER_SQ_MILE: 98.8 }, |
|
|
296 |
{ ANSI: "56000", STATE: "WYOMING", TOTAL_POP: 544270, LAND_AREA: 97100.4, POP_PER_SQ_MILE: 5.1 } |
|
|
297 |
]; |
|
|
298 |
|
|
|
299 |
var table; |
|
|
300 |
|
|
|
301 |
table = new Y.DataTable({ |
|
|
302 |
caption: "Y axis scrolling table", |
|
|
303 |
columns: [ |
|
|
304 |
{ key: "STATE", label: "State" }, |
|
|
305 |
{ key: "TOTAL_POP", label: "Total Population" } |
|
|
306 |
], |
|
|
307 |
data: state_census_data, |
|
|
308 |
scrollable: "y", |
|
|
309 |
height:"200px" |
|
|
310 |
}); |
|
|
311 |
|
|
|
312 |
table.render('#scrolling-y'); |
|
|
313 |
|
|
|
314 |
|
|
|
315 |
table = new Y.DataTable({ |
|
|
316 |
caption: "X axis scrolling table", |
|
|
317 |
columns: [ |
|
|
318 |
{ key: "ANSI" }, |
|
|
319 |
{ key: "STATE", label:"State" }, |
|
|
320 |
{ key: "TOTAL_POP", label:"Total Population" }, |
|
|
321 |
{ key: "LAND_AREA", label:"Land Area" }, |
|
|
322 |
{ key: "POP_PER_SQ_MILE", label:"Pop/Square Mile" } |
|
|
323 |
], |
|
|
324 |
data: state_census_data.slice(0, 7), // truncated for the example |
|
|
325 |
scrollable: "x", |
|
|
326 |
width: "250px" |
|
|
327 |
}); |
|
|
328 |
|
|
|
329 |
table.render('#scrolling-x'); |
|
|
330 |
|
|
|
331 |
|
|
|
332 |
table = new Y.DataTable({ |
|
|
333 |
caption: "X and Y axis scrolling table", |
|
|
334 |
columns: [ |
|
|
335 |
{ key: "ANSI" }, |
|
|
336 |
{ key: "STATE", label:"State" }, |
|
|
337 |
{ key: "TOTAL_POP", label:"Total Population" }, |
|
|
338 |
{ key: "LAND_AREA", label:"Land Area" }, |
|
|
339 |
{ key: "POP_PER_SQ_MILE", label:"Pop/Square Mile" } |
|
|
340 |
], |
|
|
341 |
data: state_census_data, |
|
|
342 |
scrollable: true, |
|
|
343 |
width: "300px", |
|
|
344 |
height: "150px" |
|
|
345 |
}); |
|
|
346 |
|
|
|
347 |
table.render('#scrolling-xy'); |
|
|
348 |
|
|
|
349 |
|
|
|
350 |
table = new Y.DataTable({ |
|
|
351 |
caption: "100% width scrolling table", |
|
|
352 |
columns: [ |
|
|
353 |
{ key: "STATE", label: "State" }, |
|
|
354 |
{ key: "TOTAL_POP", label: "Total Population" } |
|
|
355 |
], |
|
|
356 |
data: state_census_data, |
|
|
357 |
scrollable: "y", |
|
|
358 |
height:"200px", |
|
|
359 |
width: "100%" |
|
|
360 |
}); |
|
|
361 |
|
|
|
362 |
table.render('#scrolling-100pct'); |
|
|
363 |
|
|
|
364 |
});</pre> |
|
|
365 |
|
|
|
366 |
|
|
|
367 |
<script> |
|
|
368 |
YUI().use('datatable-scroll', function (Y) { |
|
|
369 |
var state_census_data = [ |
|
|
370 |
{ ANSI: "00000", STATE: "UNITED STATES", TOTAL_POP: 307006550, LAND_AREA: 3537438.44, POP_PER_SQ_MILE: 79.6 }, |
|
|
371 |
{ ANSI: "01000", STATE: "ALABAMA", TOTAL_POP: 4708708, LAND_AREA: 50744, POP_PER_SQ_MILE: 87.6 }, |
|
|
372 |
{ ANSI: "02000", STATE: "ALASKA", TOTAL_POP: 698473, LAND_AREA: 571951.26, POP_PER_SQ_MILE: 1.1 }, |
|
|
373 |
{ ANSI: "04000", STATE: "ARIZONA", TOTAL_POP: 6595778, LAND_AREA: 113634.57, POP_PER_SQ_MILE: 45.2 }, |
|
|
374 |
{ ANSI: "05000", STATE: "ARKANSAS", TOTAL_POP: 2889450, LAND_AREA: 52068.17, POP_PER_SQ_MILE: 51.3 }, |
|
|
375 |
{ ANSI: "06000", STATE: "CALIFORNIA", TOTAL_POP: 36961664, LAND_AREA: 155959.34, POP_PER_SQ_MILE: 217.2 }, |
|
|
376 |
{ ANSI: "08000", STATE: "COLORADO", TOTAL_POP: 5024748, LAND_AREA: 103717.53, POP_PER_SQ_MILE: 41.5 }, |
|
|
377 |
{ ANSI: "09000", STATE: "CONNECTICUT", TOTAL_POP: 3518288, LAND_AREA: 4844.8, POP_PER_SQ_MILE: 702.9 }, |
|
|
378 |
{ ANSI: "10000", STATE: "DELAWARE", TOTAL_POP: 885122, LAND_AREA: 1953.56, POP_PER_SQ_MILE: 401 }, |
|
|
379 |
{ ANSI: "11000", STATE: "DISTRICT OF COLUMBIA", TOTAL_POP: 599657, LAND_AREA: 61.4, POP_PER_SQ_MILE: 9378 }, |
|
|
380 |
{ ANSI: "12000", STATE: "FLORIDA", TOTAL_POP: 18537969, LAND_AREA: 53926.82, POP_PER_SQ_MILE: 296.4 }, |
|
|
381 |
{ ANSI: "13000", STATE: "GEORGIA", TOTAL_POP: 9829211, LAND_AREA: 57906.14, POP_PER_SQ_MILE: 141.4 }, |
|
|
382 |
{ ANSI: "15000", STATE: "HAWAII", TOTAL_POP: 1295178, LAND_AREA: 6422.62, POP_PER_SQ_MILE: 188.6 }, |
|
|
383 |
{ ANSI: "16000", STATE: "IDAHO", TOTAL_POP: 1545801, LAND_AREA: 82747.21, POP_PER_SQ_MILE: 15.6 }, |
|
|
384 |
{ ANSI: "17000", STATE: "ILLINOIS", TOTAL_POP: 12910409, LAND_AREA: 55583.58, POP_PER_SQ_MILE: 223.4 }, |
|
|
385 |
{ ANSI: "18000", STATE: "INDIANA", TOTAL_POP: 6423113, LAND_AREA: 35866.9, POP_PER_SQ_MILE: 169.5 }, |
|
|
386 |
{ ANSI: "19000", STATE: "IOWA", TOTAL_POP: 3007856, LAND_AREA: 55869.36, POP_PER_SQ_MILE: 52.4 }, |
|
|
387 |
{ ANSI: "20000", STATE: "KANSAS", TOTAL_POP: 2818747, LAND_AREA: 81814.88, POP_PER_SQ_MILE: 32.9 }, |
|
|
388 |
{ ANSI: "21000", STATE: "KENTUCKY", TOTAL_POP: 4314113, LAND_AREA: 39728.18, POP_PER_SQ_MILE: 101.7 }, |
|
|
389 |
{ ANSI: "22000", STATE: "LOUISIANA", TOTAL_POP: 4492076, LAND_AREA: 43561.85, POP_PER_SQ_MILE: 102.6 }, |
|
|
390 |
{ ANSI: "23000", STATE: "MAINE", TOTAL_POP: 1318301, LAND_AREA: 30861.55, POP_PER_SQ_MILE: 41.3 }, |
|
|
391 |
{ ANSI: "24000", STATE: "MARYLAND", TOTAL_POP: 5699478, LAND_AREA: 9773.82, POP_PER_SQ_MILE: 541.9 }, |
|
|
392 |
{ ANSI: "25000", STATE: "MASSACHUSETTS", TOTAL_POP: 6593587, LAND_AREA: 7840.02, POP_PER_SQ_MILE: 809.8 }, |
|
|
393 |
{ ANSI: "26000", STATE: "MICHIGAN", TOTAL_POP: 9969727, LAND_AREA: 56803.82, POP_PER_SQ_MILE: 175 }, |
|
|
394 |
{ ANSI: "27000", STATE: "MINNESOTA", TOTAL_POP: 5266214, LAND_AREA: 79610.08, POP_PER_SQ_MILE: 61.8 }, |
|
|
395 |
{ ANSI: "28000", STATE: "MISSISSIPPI", TOTAL_POP: 2951996, LAND_AREA: 46906.96, POP_PER_SQ_MILE: 60.6 }, |
|
|
396 |
{ ANSI: "29000", STATE: "MISSOURI", TOTAL_POP: 5987580, LAND_AREA: 68885.93, POP_PER_SQ_MILE: 81.2 }, |
|
|
397 |
{ ANSI: "30000", STATE: "MONTANA", TOTAL_POP: 974989, LAND_AREA: 145552.43, POP_PER_SQ_MILE: 6.2 }, |
|
|
398 |
{ ANSI: "31000", STATE: "NEBRASKA", TOTAL_POP: 1796619, LAND_AREA: 76872.41, POP_PER_SQ_MILE: 22.3 }, |
|
|
399 |
{ ANSI: "32000", STATE: "NEVADA", TOTAL_POP: 2643085, LAND_AREA: 109825.99, POP_PER_SQ_MILE: 18.2 }, |
|
|
400 |
{ ANSI: "33000", STATE: "NEW HAMPSHIRE", TOTAL_POP: 1324575, LAND_AREA: 8968.1, POP_PER_SQ_MILE: 137.8 }, |
|
|
401 |
{ ANSI: "34000", STATE: "NEW JERSEY", TOTAL_POP: 8707739, LAND_AREA: 7417.34, POP_PER_SQ_MILE: 1134.5}, |
|
|
402 |
{ ANSI: "35000", STATE: "NEW MEXICO", TOTAL_POP: 2009671, LAND_AREA: 121355.53, POP_PER_SQ_MILE: 15 }, |
|
|
403 |
{ ANSI: "36000", STATE: "NEW YORK", TOTAL_POP: 19541453, LAND_AREA: 47213.79, POP_PER_SQ_MILE: 401.9 }, |
|
|
404 |
{ ANSI: "37000", STATE: "NORTH CAROLINA", TOTAL_POP: 9380884, LAND_AREA: 48710.88, POP_PER_SQ_MILE: 165.2 }, |
|
|
405 |
{ ANSI: "38000", STATE: "NORTH DAKOTA", TOTAL_POP: 646844, LAND_AREA: 68975.93, POP_PER_SQ_MILE: 9.3 }, |
|
|
406 |
{ ANSI: "39000", STATE: "OHIO", TOTAL_POP: 11542645, LAND_AREA: 40948.38, POP_PER_SQ_MILE: 277.3 }, |
|
|
407 |
{ ANSI: "40000", STATE: "OKLAHOMA", TOTAL_POP: 3687050, LAND_AREA: 68667.06, POP_PER_SQ_MILE: 50.3 }, |
|
|
408 |
{ ANSI: "41000", STATE: "OREGON", TOTAL_POP: 3825657, LAND_AREA: 95996.79, POP_PER_SQ_MILE: 35.6 }, |
|
|
409 |
{ ANSI: "42000", STATE: "PENNSYLVANIA", TOTAL_POP: 12604767, LAND_AREA: 44816.61, POP_PER_SQ_MILE: 274 }, |
|
|
410 |
{ ANSI: "44000", STATE: "RHODE ISLAND", TOTAL_POP: 1053209, LAND_AREA: 1044.93, POP_PER_SQ_MILE: 1003.2 }, |
|
|
411 |
{ ANSI: "45000", STATE: "SOUTH CAROLINA", TOTAL_POP: 4561242, LAND_AREA: 30109.47, POP_PER_SQ_MILE: 133.2 }, |
|
|
412 |
{ ANSI: "46000", STATE: "SOUTH DAKOTA", TOTAL_POP: 812383, LAND_AREA: 75884.64, POP_PER_SQ_MILE: 9.9 }, |
|
|
413 |
{ ANSI: "47000", STATE: "TENNESSEE", TOTAL_POP: 6296254, LAND_AREA: 41217.12, POP_PER_SQ_MILE: 138 }, |
|
|
414 |
{ ANSI: "48000", STATE: "TEXAS", TOTAL_POP: 24782302, LAND_AREA: 261797.12, POP_PER_SQ_MILE: 79.6 }, |
|
|
415 |
{ ANSI: "49000", STATE: "UTAH", TOTAL_POP: 2784572, LAND_AREA: 82143.65, POP_PER_SQ_MILE: 27.2 }, |
|
|
416 |
{ ANSI: "50000", STATE: "VERMONT", TOTAL_POP: 621760, LAND_AREA: 9249.56, POP_PER_SQ_MILE: 65.8 }, |
|
|
417 |
{ ANSI: "51000", STATE: "VIRGINIA", TOTAL_POP: 7882590, LAND_AREA: 39594.07, POP_PER_SQ_MILE: 178.8 }, |
|
|
418 |
{ ANSI: "53000", STATE: "WASHINGTON", TOTAL_POP: 6664195, LAND_AREA: 66544.06, POP_PER_SQ_MILE: 88.6 }, |
|
|
419 |
{ ANSI: "54000", STATE: "WEST VIRGINIA", TOTAL_POP: 1819777, LAND_AREA: 24077.73, POP_PER_SQ_MILE: 75.1 }, |
|
|
420 |
{ ANSI: "55000", STATE: "WISCONSIN", TOTAL_POP: 5654774, LAND_AREA: 54310.1, POP_PER_SQ_MILE: 98.8 }, |
|
|
421 |
{ ANSI: "56000", STATE: "WYOMING", TOTAL_POP: 544270, LAND_AREA: 97100.4, POP_PER_SQ_MILE: 5.1 } |
|
|
422 |
]; |
|
|
423 |
|
|
|
424 |
var table; |
|
|
425 |
|
|
|
426 |
table = new Y.DataTable({ |
|
|
427 |
caption: "Y axis scrolling table", |
|
|
428 |
columns: [ |
|
|
429 |
{ key: "STATE", label: "State" }, |
|
|
430 |
{ key: "TOTAL_POP", label: "Total Population" } |
|
|
431 |
], |
|
|
432 |
data: state_census_data, |
|
|
433 |
scrollable: "y", |
|
|
434 |
height:"200px" |
|
|
435 |
}); |
|
|
436 |
|
|
|
437 |
table.render('#scrolling-y'); |
|
|
438 |
|
|
|
439 |
|
|
|
440 |
table = new Y.DataTable({ |
|
|
441 |
caption: "X axis scrolling table", |
|
|
442 |
columns: [ |
|
|
443 |
{ key: "ANSI" }, |
|
|
444 |
{ key: "STATE", label:"State" }, |
|
|
445 |
{ key: "TOTAL_POP", label:"Total Population" }, |
|
|
446 |
{ key: "LAND_AREA", label:"Land Area" }, |
|
|
447 |
{ key: "POP_PER_SQ_MILE", label:"Pop/Square Mile" } |
|
|
448 |
], |
|
|
449 |
data: state_census_data.slice(0, 7), // truncated for the example |
|
|
450 |
scrollable: "x", |
|
|
451 |
width: "250px" |
|
|
452 |
}); |
|
|
453 |
|
|
|
454 |
table.render('#scrolling-x'); |
|
|
455 |
|
|
|
456 |
|
|
|
457 |
table = new Y.DataTable({ |
|
|
458 |
caption: "X and Y axis scrolling table", |
|
|
459 |
columns: [ |
|
|
460 |
{ key: "ANSI" }, |
|
|
461 |
{ key: "STATE", label:"State" }, |
|
|
462 |
{ key: "TOTAL_POP", label:"Total Population" }, |
|
|
463 |
{ key: "LAND_AREA", label:"Land Area" }, |
|
|
464 |
{ key: "POP_PER_SQ_MILE", label:"Pop/Square Mile" } |
|
|
465 |
], |
|
|
466 |
data: state_census_data, |
|
|
467 |
scrollable: true, |
|
|
468 |
width: "300px", |
|
|
469 |
height: "150px" |
|
|
470 |
}); |
|
|
471 |
|
|
|
472 |
table.render('#scrolling-xy'); |
|
|
473 |
|
|
|
474 |
|
|
|
475 |
table = new Y.DataTable({ |
|
|
476 |
caption: "100% width scrolling table", |
|
|
477 |
columns: [ |
|
|
478 |
{ key: "STATE", label: "State" }, |
|
|
479 |
{ key: "TOTAL_POP", label: "Total Population" } |
|
|
480 |
], |
|
|
481 |
data: state_census_data, |
|
|
482 |
scrollable: "y", |
|
|
483 |
height:"200px", |
|
|
484 |
width: "100%" |
|
|
485 |
}); |
|
|
486 |
|
|
|
487 |
table.render('#scrolling-100pct'); |
|
|
488 |
|
|
|
489 |
}); |
|
|
490 |
|
|
|
491 |
</script> |
|
|
492 |
</div> |
|
|
493 |
</div> |
|
|
494 |
</div> |
|
|
495 |
|
|
|
496 |
<div class="yui3-u-1-4"> |
|
|
497 |
<div class="sidebar"> |
|
|
498 |
|
|
|
499 |
|
|
|
500 |
|
|
|
501 |
<div class="sidebox"> |
|
|
502 |
<div class="hd"> |
|
|
503 |
<h2 class="no-toc">Examples</h2> |
|
|
504 |
</div> |
|
|
505 |
|
|
|
506 |
<div class="bd"> |
|
|
507 |
<ul class="examples"> |
|
|
508 |
|
|
|
509 |
|
|
|
510 |
<li data-description="This example illustrates simple DataTable use cases."> |
|
|
511 |
<a href="datatable-basic.html">Basic DataTable</a> |
|
|
512 |
</li> |
|
|
513 |
|
|
|
514 |
|
|
|
515 |
|
|
|
516 |
<li data-description="DataTable loaded with JSON data from a remote webservice via DataSource.Get"> |
|
|
517 |
<a href="datatable-dsget.html">DataTable + DataSource.Get + JSON Data</a> |
|
|
518 |
</li> |
|
|
519 |
|
|
|
520 |
|
|
|
521 |
|
|
|
522 |
<li data-description="DataTable loaded with XML data from a remote webservice via DataSource.IO."> |
|
|
523 |
<a href="datatable-dsio.html">DataTable + DataSource.IO + XML Data</a> |
|
|
524 |
</li> |
|
|
525 |
|
|
|
526 |
|
|
|
527 |
|
|
|
528 |
<li data-description="Custom format data for display."> |
|
|
529 |
<a href="datatable-formatting.html">Formatting Row Data for Display</a> |
|
|
530 |
</li> |
|
|
531 |
|
|
|
532 |
|
|
|
533 |
|
|
|
534 |
<li data-description="DataTable with nested column headers."> |
|
|
535 |
<a href="datatable-nestedcols.html">Nested Column Headers</a> |
|
|
536 |
</li> |
|
|
537 |
|
|
|
538 |
|
|
|
539 |
|
|
|
540 |
<li data-description="DataTable with column sorting."> |
|
|
541 |
<a href="datatable-sort.html">Column Sorting</a> |
|
|
542 |
</li> |
|
|
543 |
|
|
|
544 |
|
|
|
545 |
|
|
|
546 |
<li data-description="DataTable with vertical and/or horizontal scrolling rows."> |
|
|
547 |
<a href="datatable-scroll.html">Scrolling DataTable</a> |
|
|
548 |
</li> |
|
|
549 |
|
|
|
550 |
|
|
|
551 |
|
|
|
552 |
<li data-description="Using DataTable's recordType attribute to create calculated, sortable columns."> |
|
|
553 |
<a href="datatable-recordtype.html">Sortable generated columns</a> |
|
|
554 |
</li> |
|
|
555 |
|
|
|
556 |
|
|
|
557 |
|
|
|
558 |
<li data-description="Populating one DataTable from details in the data of another."> |
|
|
559 |
<a href="datatable-masterdetail.html">Master and detail tables</a> |
|
|
560 |
</li> |
|
|
561 |
|
|
|
562 |
|
|
|
563 |
|
|
|
564 |
<li data-description="Checkbox column that retains checked state when sorting."> |
|
|
565 |
<a href="datatable-chkboxselect.html">Checkbox select column</a> |
|
|
566 |
</li> |
|
|
567 |
|
|
|
568 |
|
|
|
569 |
|
|
|
570 |
|
|
|
571 |
</ul> |
|
|
572 |
</div> |
|
|
573 |
</div> |
|
|
574 |
|
|
|
575 |
|
|
|
576 |
|
|
|
577 |
<div class="sidebox"> |
|
|
578 |
<div class="hd"> |
|
|
579 |
<h2 class="no-toc">Examples That Use This Component</h2> |
|
|
580 |
</div> |
|
|
581 |
|
|
|
582 |
<div class="bd"> |
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<ul class="examples"> |
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<li data-description="Shows how to instantiate multiple Panel instances, and use nested modality to interact with a Datatable."> |
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<a href="../panel/panel-form.html">Creating a Modal Form</a> |
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</li> |
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</ul> |
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</div> |
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</div> |
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</div> |
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</div> |
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</div> |
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</div> |
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<script src="../assets/vendor/prettify/prettify-min.js"></script> |
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<script>prettyPrint();</script> |
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<script> |
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YUI.Env.Tests = { |
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examples: [], |
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project: '../assets', |
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assets: '../assets/datatable', |
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name: 'datatable-scroll', |
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title: 'Scrolling DataTable', |
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newWindow: '', |
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auto: false |
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}; |
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YUI.Env.Tests.examples.push('datatable-basic'); |
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YUI.Env.Tests.examples.push('datatable-dsget'); |
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YUI.Env.Tests.examples.push('datatable-dsio'); |
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YUI.Env.Tests.examples.push('datatable-formatting'); |
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YUI.Env.Tests.examples.push('datatable-nestedcols'); |
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YUI.Env.Tests.examples.push('datatable-sort'); |
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YUI.Env.Tests.examples.push('datatable-scroll'); |
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YUI.Env.Tests.examples.push('datatable-recordtype'); |
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YUI.Env.Tests.examples.push('datatable-masterdetail'); |
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YUI.Env.Tests.examples.push('datatable-chkboxselect'); |
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YUI.Env.Tests.examples.push('panel-form'); |
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</script> |
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<script src="../assets/yui/test-runner.js"></script> |
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</body> |
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</html> |