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    "info": {
        "author": "Jeff Roche",
        "author_email": "jeff.roche@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Topic :: Software Development :: Build Tools"
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        "description": "FixedDataTablePy\n================\n\nPython utilities for building and rendering FixedDataTable components that can\neasily be sorted, filtered, and exported to Excel.\n\nInstallation\n------------\n\nInstall the python package::\n\n  pip install fixeddatatable\n\nInstall the javascript libary with bower::\n\n  bower install fixed-data-table-py\n\nUsage Overview\n--------------\n\n1. Build table rows as a list of lists or a list of dicts\n2. Build ``Column`` objects with arguments that match the column props in the fixed-data-table `column API`_\n3. Create a ``Table`` object and pass the rows and columns as arguments\n4. In your template, create the ``FixedDataTablePy`` React component and pass in the ``Table.json`` as the options property.\n\nOther Functionality\n-------------------\n\n- number formatting: give the column a ``num_format`` property with a `numeral.js`_ format string\n- filtering: pass the ``Table`` constructor the data key to filter by and a placeholder to enable filtering\n- exporting: pass the ``Table`` constructor the filename and the table header will include a button to export the table data to a .xlsx file\n\nExample\n-------\n\nSee the sample_project for a full example of a Flask app.\n\nIn your view::\n\n  from fixeddatatable import Table, Column\n\n  rows = [\n      {'col1': 'a1', 'col2': 'b1', 'col3': '0.99'},\n      {'col1': 'a2', 'col2': 'b2', 'col3': '0.12313'},\n      {'col1': 'a3', 'col2': 'b3', 'col3': '1.04'},\n  ]\n  cols = [\n      Column(label='Col 1', key='col1', width=100),\n      Column(label='Col 2', key='col2', width=100),\n      Column(label='Col 3', key='col3', width=100, num_format='0.0%'),\n  ]\n  tbl = Table(row_height=50, width=300, height=500, columns=cols, rows=rows,\n              filter={'key': 'col2', 'placeholder': 'Filter by Col 2'},\n              export_filename='SampleProject.xlsx')\n\n\nIn your template::\n\n  <div id=\"datatable\"></div>\n\n  <script type=\"text/javascript\">\n    var tableData = tbl.json|safe;\n    React.render(\n      React.createElement(FixedDataTablePy, {options: tableData}),\n      document.getElementById('yourid')\n    );\n  </script>\n\n\n.. _`column API`: https://facebook.github.io/fixed-data-table/api-column.html\n.. _`numeral.js`: http://numeraljs.com/",
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        "keywords": "js",
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        "name": "fixeddatatable",
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