Dash table in raw html

Dash Python
1

Hello,

I know I can render plotly graphs in raw html, can I do the same thing with dash_table.DataTable instances?

For example, the following code produces a standalone html file that we can open in a browser

import plotly.express as px
import pandas as pd

df = pd.DataFrame({'field': ['a', 'b'], 'total': [3, 4]})

fig = px.bar(df, x='field', y='total')


html_output = f"""<html>
<head>
    <script src="https://cdn.plot.ly/plotly-latest.min.js"></script>
</head>
<body>
    <div id='divPlotly'></div>
    <script>
        var plotly_data = {fig.to_json()}
        Plotly.react('divPlotly', plotly_data.data, plotly_data.layout);
    </script>
</body>
</html>
"""

with open('file.html', 'w') as f:
    f.write(html_output)

Can I do something similar with a dash_table.DataTable? For example, consider

from dash_table import DataTable
from dash_table.Format import Format, Scheme

INTEGER_FORMAT = Format(precision=2, scheme=Scheme.decimal_integer, group=',')

df = pd.DataFrame({'a': [1, 2, 3], 'b': [2, 1, 3]})

columns = [dict(id=col, name=col,
                type='numeric',
                format=INTEGER_FORMAT,
                hideable=True) for col in df.columns]

table = DataTable(columns=columns,
                  data=df.to_dict('records'),
                  sort_action="native")

Is there a way that I can display table in a standalone html file?

Many thanks!