My Table:
row_data={('user_profile_id', '', ''): {0: 984, 1: 985, 2: 986, 3: 987, 4: 988},
('email', '', ''): {0: 'egjkljgler@gmail.com',
1: 'dasdadaddcd740@gmail.com',
2: 'dasdadaddcd740@gmail.com',
3: 'dasdadaddcd740@gmail.com',
4: 'temp_da@dada.com'},
('feedback', 'AAA', 'Zaza'): {0: 'Perfect',
1: 'Loose',
2: 'nan',
3: 'nan',
4: 'nan'},
('feedback', 'AAA', 'Kuku'): {0: 'Perfect',
1: 'Tight',
2: 'nan',
3: 'nan',
4: 'nan'},
('feedback', 'AAA', 'Duku'): {0: 'Tight',
1: 'Perfect',
2: 'nan',
3: 'nan',
4: 'nan'},
('feedback', 'AAA', 'Sasa'): {0: 'Tight',
1: 'Perfect',
2: 'nan',
3: 'nan',
4: 'nan'},
('feedback', 'BBB', 'Rere'): {0: 'Perfect',
1: 'nan',
2: 'nan',
3: 'nan',
4: 'nan'},
('results', 'AAA', 'Zaza'): {0: 14,
1: 12,
2: 74,
3: 87,
4: 65},
('results', 'AAA', 'Kuku'): {0: 20,
1: 'nan',
2: 45,
3: 52,
4: 71},
('results', 'AAA', 'Duku'): {0: 25,
1: 78,
2: 25,
3: 46,
4: 89},
('results', 'AAA', 'Sasa'): {0: 45,
1: 91,
2: 45,
3: 87,
4: 85},
('results', 'BBB', 'Rere'): {0: 42,
1: 77,
2: 45,
3: 12,
4: 41}}
df= pd.DataFrame.from_dict(row_data)
df=df[['user_profile_id','email','results','feedback']]
df_columns = [{"name": col, "id": "_".join(col)} for col in df.columns]
df_data = [ {"_".join(col): val for col, val in row.items() } for row in df.to_dict('records')]
app = dash.Dash(__name__)
table=dash_table.DataTable(
id='table',
columns=df_columns,
data=df_data,
fixed_rows={'headers': False},
page_size=20,
sort_action='none',
style_header={'backgroundColor': 'gray','fontSize':10,'color': 'black','fontWeight': 'bold','textAlign': 'center','border': '1px solid black'},
style_cell={'textAlign': 'center','fontSize':15, 'font-family':'sans-serif','border': '1px solid black'},
style_table={'overflowY': 'auto'},
style_data={'color': 'black','backgroundColor': 'white', 'whiteSpace': 'normal'},
fill_width=True,
merge_duplicate_headers=True
)
app.layout = html.Div([ table])
if __name__ == '__main__':
app.run_server(debug=True)
Result as Multi Headers Table:
Now I try to use style_header_conditional like in these examples
https://dash.plotly.com/datatable/conditional-formatting
to create styling for headers:
That is to say, a different color should be made to all the headings belonging to the main headline.
The problem is how to get to the main column? This doesn’t work :
style_header_conditional=[
{
'if': {'column_id':'results'},
'backgroundColor': 'grey'
}
]
How can this be solved?
Thanks
7 posts - 2 participants
