DataTable#
Download this notebook from GitHub (right-click to download).
import panel as pn
from bokeh.sampledata.autompg import autompg
css = ['https://cdn.datatables.net/1.10.24/css/jquery.dataTables.min.css',
# Below: Needed for export buttons
'https://cdn.datatables.net/buttons/1.7.0/css/buttons.dataTables.min.css'
]
js = {
'$': 'https://code.jquery.com/jquery-3.5.1.js',
'DataTable': 'https://cdn.datatables.net/1.10.24/js/jquery.dataTables.min.js',
# Below: Needed for export buttons
'buttons': 'https://cdn.datatables.net/buttons/1.7.0/js/dataTables.buttons.min.js',
'jszip': 'https://cdnjs.cloudflare.com/ajax/libs/jszip/3.1.3/jszip.min.js',
'pdfmake': 'https://cdnjs.cloudflare.com/ajax/libs/pdfmake/0.1.53/pdfmake.min.js',
'vfsfonts': 'https://cdnjs.cloudflare.com/ajax/libs/pdfmake/0.1.53/vfs_fonts.js',
'html5buttons': 'https://cdn.datatables.net/buttons/1.7.0/js/buttons.html5.min.js',
}
pn.extension(css_files=css, js_files=js)
Panel - Datatable#
This example demonstrates how to load the jQuery DataTable extension and use it to render a pandas DataFrame.
script = """
<script>
if (document.readyState === "complete") {
$('.example').DataTable();
} else {
$(document).ready(function () {
$('.example').DataTable();
})
}
</script>
"""
html = autompg.to_html(classes=['example', 'panel-df'])
pn.pane.HTML(html+script, sizing_mode='stretch_width')
App#
Let’s wrap the above into a nice app that can be run via panel serve DataTable.ipynb
pn.template.FastListTemplate(site="Panel Gallery", title="DataTable", main=["This example demonstrates **how to use the [jQuery DataTable extension](https://datatables.net/) with Panel** and use it to render a pandas DataFrame.", table_with_export_buttons]).servable();
This web page was generated from a Jupyter notebook and not all interactivity will work on this website. Right click to download and run locally for full Python-backed interactivity.
Download this notebook from GitHub (right-click to download).