Is there a way to change the color of specific cells based on the value within them in dt.DataTable?
Though it is not specifically a dt.Datatable, I know you can do this by creating a plotly graph_objs.Table and put into your app.
(See last example in https://plot.ly/python/table/)
Maybe you can reuse some of the logic there?
unfortunately not. I need the tables to be editable as well, so i cannot use go.Table altogether
I have the same issue. I’m trying to add conditional color formatting to the datatable but it doesn’t seem to have that functionality. I also don’t like the filtering syntax I have to use for conditional formatting since I wish I could use normal python syntax for filtering since then I have the ability of being more complex with my conditions
Why not use the style_data_conditional to change colour of certain cell? There’s an example from https://dash.plot.ly/datatable/style
dash_table.DataTable(
data=df.to_dict('rows'),
columns=[
{'name': i, 'id': i} for i in df.columns
],
style_data_conditional=[
{
'if': {
'column_id': 'Region',
'filter': 'Region eq "Montreal"'
},
'backgroundColor': '#3D9970',
'color': 'white',
},
{
'if': {
'column_id': 'Humidity',
'filter': 'Humidity eq num(20)'
},
'backgroundColor': '#3D9970',
'color': 'white',
},
{
'if': {
'column_id': 'Temperature',
'filter': 'Temperature > num(3.9)'
},
'backgroundColor': '#3D9970',
'color': 'white',
},
]
)