python - is there a way to save bokeh data table content

Question

I am experimenting with bokeh data table to display data embedded in web page. It works quite nicely.

Is there a way to save the table content from the displayed data table? Other bokeh plots have tool bar for various functions including saving, but the DataTable does not seem to come with it. I know very little about javascript or slickgrid, which bokeh data table uses. And wondering if it can be done.

Thanks!

EDIT - It appears the my original question was not clear enough. Hope following pictures can help to illustrate:

Bokeh plot has toolbars associated:

But data table does not have it by default, and it won't take 'tools' parameter either:

Is it possible to add 'save' button to data table so the person view the table can download as tab delimited or csv files? Not necessarily need to be look the same, but with the same function for saving.

Answer 1

2021 Update: adjusted code that works in python 3.8 and bokeh 2.2.3

For those who have trouble adjusting or finding the example on the bokeh website or are just very lazy, the below code does the minimal job:

from bokeh.models import ColumnDataSource, CustomJS
from bokeh.models.widgets import Button
from bokeh.io import show
import os

source = ColumnDataSource({'list1':[0,1,2,3],'list2':[4,5,6,7]})
button = Button(label="Download", button_type="success")
button.js_on_click(CustomJS(args=dict(source=source),code=open(os.path.join(os.path.dirname(__file__),"download.js")).read()))
show(button)

And the file download.js:

function table_to_csv(source) {
    const columns = Object.keys(source.data)
    const nrows = source.get_length()
    const lines = [columns.join(',')]

    for (let i = 0; i < nrows; i++) {
        let row = [];
        for (let j = 0; j < columns.length; j++) {
            const column = columns[j]
            row.push(source.data[column][i].toString())
        }
        lines.push(row.join(','))
    }
    return lines.join('
').concat('
')
}


const filename = 'data_result.csv'
const filetext = table_to_csv(source)
const blob = new Blob([filetext], { type: 'text/csv;charset=utf-8;' })

//addresses IE
if (navigator.msSaveBlob) {
    navigator.msSaveBlob(blob, filename)
} else {
    const link = document.createElement('a')
    link.href = URL.createObjectURL(blob)
    link.download = filename
    link.target = '_blank'
    link.style.visibility = 'hidden'
    link.dispatchEvent(new MouseEvent('click'))
}