Hi @abreit26 and welcome to the Dash community
Here’s an example - You can include columns headers too with style_header_conditional
if you like:
from dash import Dash, dash_table, dcc, html
import pandas as pd
from collections import OrderedDict
data = OrderedDict(
[
("Date", ["2015-01-01", "2015-10-24", "2016-05-10", "2017-01-10", "2018-05-10", "2018-08-15"]),
("Region", ["Montreal", "Toronto", "New York City", "Miami", "San Francisco", "London"]),
("Temperature", [1, -20, 3.512, 4, 10423, -441.2]),
("Humidity", [10, 20, 30, 40, 50, 60]),
("Pressure", [2, 10924, 3912, -10, 3591.2, 15]),
]
)
df = pd.DataFrame(data)
app = Dash(__name__)
df['id'] = df.index
app.layout = dash_table.DataTable(
data=df.to_dict('records'),
sort_action='native',
columns=[
{'name': 'Date', 'id': 'Date', 'type': 'datetime', 'editable': False},
{'name': 'Delivery', 'id': 'Delivery', 'type': 'datetime'},
{'name': 'Region', 'id': 'Region', 'type': 'text'},
{'name': 'Temperature', 'id': 'Temperature', 'type': 'numeric'},
{'name': 'Humidity', 'id': 'Humidity', 'type': 'numeric'},
{'name': 'Pressure', 'id': 'Pressure', 'type': 'any'},
],
editable=True,
style_data_conditional=[
{
'if': {
'column_id': 'Region',
},
'borderRight': '5px solid red',
'borderLeft': '5px solid red',
},
],
style_header_conditional=[
{
'if': {
'column_id': 'Region',
},
'borderRight': '5px solid red',
'borderLeft': '5px solid red',
},
]
)
if __name__ == '__main__':
app.run_server(debug=True)