Plotly 破折号：单个单元格的 data_table 背景颜色

Question

I display in a dash_table.DataTable a dataframe where there is a column with color names in hex format, with this code:

import dash
import dash_table
import pandas as pd

df = pd.DataFrame(data = dict(COLOR = ['#1f77b4', '#d62728', '#e377c2', '#17becf', '#bcbd22'],
                              VALUE = [1, 2, 3, 4, 5]))

app = dash.Dash(__name__)

app.layout = html.Div([dash_table.DataTable(id = 'table',
                                            columns = [{"name": i, "id": i} for i in df.columns],
                                            data = df.to_dict('records'))],
                      style = dict(width = '200px'))

if __name__ == '__main__':
    app.run_server()

This is what I get:

I would like to set the background color (and maybe the font color) of each individual cell with its content, but only for that column (which is always the first column of the table) in order to get this:

To me is ok to replace the dash_table.DataTable with plotly.graph_objects.Table ( documentation ), which maybe it is more customizable; provided that I can implement the plotly.graph_objects.Table in a dash dashboard.

Version info:

Python               3.7.0
dash                 1.12.0
dash-table           4.7.0
plotly               4.7.0

Answer 1

You can define the background color and the font color (as well as several other properties) of each individual cell using style_data_conditional , see https://dash.plotly.com/datatable/style .

import dash
import dash_table
import dash_html_components as html
import pandas as pd

df = pd.DataFrame(data=dict(COLOR=['#1f77b4', '#d62728', '#e377c2', '#17becf', '#bcbd22'],
                            VALUE=[1, 2, 3, 4, 5]))

app = dash.Dash(__name__)

app.layout = html.Div([

    dash_table.DataTable(
        id='table',
        columns=[{'name': i, 'id': i} for i in df.columns],
        data=df.to_dict('records'),
        style_data_conditional=[{'if': {'row_index': i, 'column_id': 'COLOR'}, 'background-color': df['COLOR'][i], 'color': df['COLOR'][i]} for i in range(df.shape[0])]
    ),

], style=dict(width='100px'))

if __name__ == '__main__':
    app.run_server()