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row()
methods - operate on a single row.
- The rows() method allows operations on multiple rows with a single call, this new singualr option, `row()` performs operations on a single row, allowing fine grain control and easy access to certain aspects. For example. `rows().data()` will return an array of data objects, even if there is only one row as a result of the selector, while `row().data()` will return the data object directly. - Impletemented thus far: - row() - row().node() - row().cells() - row().data() - get only as of yet - row().index() - row().remove()
Updated: Changing the formatting that DataTables uses for the version numbers to be compatible with semver (http://semver.org/). The impact is minimal (unless you are parsing the version for the final part in dev builds). The change is to use a dash ('-') at the end of the version string for a non-release build, rather than a dot.
This DataTables plugin (v1.9.x) for jQuery was developed out of the desire to allow highly configurable access to HTML tables with advanced access features. For detailed installation, usage and API instructions, please refer to the DataTables web-pages: http://www.datatables.net Questions, feature requests and bug reports (etc) can all be asked on the DataTables forums: http://www.datatables.net/forums/ The DataTables source can be found in the media/js/ directory of this archive. DataTables is released with dual licensing, using the GPL v2 (license-gpl2.txt) and an BSD style license (license-bsd.txt). You may select which of the two licenses you wish to use DataTables under. Please see the corresponding license file for details of these licenses. You are free to use, modify and distribute this software, but all copyright information must remain. If you discover any bugs in DataTables, have any suggestions for improvements or even if you just like using it, please free to get in touch with me: www.datatables.net/contact
Description
DataTables is a table enhancing plug-in for the jQuery Javascript library, adding sorting, paging and filtering abilities to plain HTML tables with minimal effort.
https://datatables.net/
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