# Datatable declare a column as a button or checklist
**URL:** https://community.plotly.com/t/datatable-declare-a-column-as-a-button-or-checklist/51306
**Category:** Dash Python
**Created:** [March 23, 2021, 9:05am UTC](https://community.plotly.com/t/datatable-declare-a-column-as-a-button-or-checklist/51306 "2021-03-23T09:05:09Z")
**Posts on this page:** 3
**Page:** 1
### Author:  [@fkamm](https://community.plotly.com/u/fkamm)
#### Post date: [March 23, 2021, 9:05am UTC](https://community.plotly.com/t/datatable-declare-a-column-as-a-button-or-checklist/51306/1 "2021-03-23T09:05:09Z")
Hi guys,
I would like to create a datatable with the last column being a html.A Element with a button.
Is there a simple way like the dropdown feature ([Dropdowns Inside DataTable | Dash for Python Documentation | Plotly](https://dash.plotly.com/datatable/dropdowns)) to simply declare a column as a button or checkbox or anything else?
Where can I find the possibilities to use with columns (id, dropdown, editable, etc.)
```auto
import dash
import dash_table
import pandas as pd
import dash_html_components as html
from flask import Flask
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/solar.csv')
server = Flask( __name__ )
app = dash.Dash(server=server)
buttons = {
index: html.Div(style={'height': 100, 'width': '100%'},
children=(
html.A(id='a-fileserver',
children=[html.Button('Fileserver', id='fileserver-button-{}'.format(index), n_clicks=0)],
target='_blank',
href=value,
style={'display': 'inline-block',
'padding-right': '2%'})
)
)
for value, index in df["Generation (GWh)"].iteritems()
}
app.layout = dash_table.DataTable(
id='table',
columns=[{"name": i, "id": i} for i in df.columns],
data=df.to_dict('records'),
)
if __name__ == ' __main__':
app.run_server(debug=True)
```
Thank you,
Felix
---
### Author:  [@danpryjma](https://community.plotly.com/u/danpryjma)
#### Post date: [March 24, 2021, 9:00am UTC](https://community.plotly.com/t/datatable-declare-a-column-as-a-button-or-checklist/51306/2 "2021-03-24T09:00:31Z")
You can use markdown inside the datatable. There are multiple posts here in the community about that, here is one:
> [@Datatable Markdown Link Trouble](https://community.plotly.com/t/datatable-markdown-link-trouble/36458/2):
>
> In case anyone comes along with a similar question, here’s how I fixed it after some digging: all markdown links must be formatted as such: string to be clicked Here’s how I turned my dataframe column into a dash table of clickable links: def gen\_table(dict): df = pd.DataFrame(dict) #format dataframe column of urls so that it displays as hyperlink def display\_links(df): links = df['link'].to\_list() rows = [] for x in links: li…
---
### Author:  [@fkamm](https://community.plotly.com/u/fkamm)
#### Post date: [March 24, 2021, 10:14am UTC](https://community.plotly.com/t/datatable-declare-a-column-as-a-button-or-checklist/51306/3 "2021-03-24T10:14:31Z")
Thank you, your solution solved my problem.
Where do I find the parameter for columns (id, name, type, presentation,…)?