dash-datatables

Minimal Dash wrapper for the wonderful DataTables.net

Code Snippet

from dash import html
import dash_datatables as ddt

import pandas as pd

df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/solar.csv')

column_defs = [{"title": i, "data": i} for i in df.columns]

layout = html.Div([
    html.H2('US Solar Capacity'),
    html.Br(),
    ddt.DashDatatables(
        columns=column_defs,
        data=df.to_dict('records'),
        width="100%",
        order=[2, 'asc'],
    )
])

Installation

You can install dash-datatables with pip:

pip install dash-datatables

Documentation

Head over to the README for more details.

Contributing

The source code for dash-datatables is available on GitHub. If you find a bug or something is unclear, we encourage you to raise an issue. We also welcome contributions, to contribute, fork the repository and open a pull request.