python - Dash dataTable conditional cell formatting

Python - Dash dataTable conditional cell formatting

In Dash, specifically when using dash-table (the DataTable component), you can achieve conditional cell formatting using callbacks and custom CSS classes. Here's a step-by-step guide on how to implement conditional formatting in a Dash DataTable:

Step-by-Step Guide

1. Setup Dash Application

First, ensure you have a basic Dash application set up. Here's a minimal example:

import dash from dash import dcc, html import dash_table import pandas as pd # Sample data df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie', 'David'], 'Score': [85, 92, 78, 88] }) # Initialize the Dash app app = dash.Dash(__name__) # Define the layout app.layout = html.Div([ dash_table.DataTable( id='datatable-interactivity', columns=[ {'name': 'Name', 'id': 'Name'}, {'name': 'Score', 'id': 'Score'}, ], data=df.to_dict('records'), style_data_conditional=[ # Placeholder for conditional styling ] ) ]) if __name__ == '__main__': app.run_server(debug=True)

2. Define Conditional Formatting Rules

To add conditional formatting, define rules inside the style_data_conditional property of dash_table.DataTable. Each rule is a dictionary specifying conditions (if clause) and styles (backgroundColor, color, etc.).

style_data_conditional=[ { 'if': { 'filter_query': '{Score} > 90', 'column_id': 'Score' }, 'backgroundColor': '#3D9970', 'color': 'white' }, { 'if': { 'filter_query': '{Score} < 80', 'column_id': 'Score' }, 'backgroundColor': '#FF4136', 'color': 'white' } ]

In this example:

  • The first rule sets the background color to green (#3D9970) and text color to white for scores greater than 90.
  • The second rule sets the background color to red (#FF4136) and text color to white for scores less than 80.

3. Implement Callbacks (Optional)

If you need dynamic or more complex conditional formatting based on user input or other factors, use Dash callbacks:

from dash.dependencies import Input, Output @app.callback( Output('datatable-interactivity', 'style_data_conditional'), [Input('datatable-interactivity', 'derived_virtual_data')] ) def update_styles(rows): if rows is None: return [] styles = [] for i, row in enumerate(rows): score = row.get('Score') if score: if score > 90: styles.append({'if': {'row_index': i}, 'backgroundColor': '#3D9970', 'color': 'white'}) elif score < 80: styles.append({'if': {'row_index': i}, 'backgroundColor': '#FF4136', 'color': 'white'}) return styles

This example uses derived_virtual_data as an input to the callback, which represents the current displayed data in the table. Modify this callback based on your specific requirements for dynamic styling.

Conclusion

Using conditional cell formatting in Dash DataTables allows you to visually highlight data based on certain conditions, enhancing the user experience and data presentation. Whether using static rules or dynamic callbacks, Dash provides flexibility in implementing these features within your web applications. Adjust the conditions and styles according to your application's needs to effectively visualize data in Dash DataTables.

Examples

  1. Dash DataTable Conditional Formatting Based on Cell Value

    • Description: How to apply conditional formatting to cells in a Dash DataTable based on their values.
    • Python Code:
      import dash import dash_html_components as html import dash_core_components as dcc import dash_table import pandas as pd # Example DataFrame df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 22], 'Score': [85, 70, 92] }) app = dash.Dash(__name__) app.layout = html.Div([ dash_table.DataTable( id='datatable-interactivity', columns=[ {'name': 'Name', 'id': 'Name'}, {'name': 'Age', 'id': 'Age'}, {'name': 'Score', 'id': 'Score'} ], data=df.to_dict('records'), style_data_conditional=[ { 'if': {'column_id': 'Score', 'filter': 'Score > 80'}, 'backgroundColor': '#3D9970', 'color': 'white' } ], style_header={'backgroundColor': 'rgb(30, 30, 30)', 'color': 'white'}, style_cell={ 'backgroundColor': 'rgb(50, 50, 50)', 'color': 'white' } ) ]) if __name__ == '__main__': app.run_server(debug=True)

  2. Dash DataTable Conditional Formatting with Multiple Conditions

    • Description: Applying conditional formatting to cells in a Dash DataTable with multiple conditions.
    • Python Code:
      import dash import dash_html_components as html import dash_core_components as dcc import dash_table import pandas as pd # Example DataFrame df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 22], 'Score': [85, 70, 92] }) app = dash.Dash(__name__) app.layout = html.Div([ dash_table.DataTable( id='datatable-interactivity', columns=[ {'name': 'Name', 'id': 'Name'}, {'name': 'Age', 'id': 'Age'}, {'name': 'Score', 'id': 'Score'} ], data=df.to_dict('records'), style_data_conditional=[ { 'if': { 'column_id': 'Score', 'filter_query': '{Score} > 80 && {Score} < 90' }, 'backgroundColor': '#FFA07A', 'color': 'white' }, { 'if': { 'column_id': 'Score', 'filter_query': '{Score} >= 90' }, 'backgroundColor': '#3D9970', 'color': 'white' } ], style_header={'backgroundColor': 'rgb(30, 30, 30)', 'color': 'white'}, style_cell={ 'backgroundColor': 'rgb(50, 50, 50)', 'color': 'white' } ) ]) if __name__ == '__main__': app.run_server(debug=True)

  3. Dash DataTable Cell Color Based on Text Content

    • Description: Setting cell colors in a Dash DataTable based on specific text content.
    • Python Code:
      import dash import dash_html_components as html import dash_core_components as dcc import dash_table import pandas as pd # Example DataFrame df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Status': ['Active', 'Inactive', 'Active'] }) app = dash.Dash(__name__) app.layout = html.Div([ dash_table.DataTable( id='datatable-interactivity', columns=[ {'name': 'Name', 'id': 'Name'}, {'name': 'Status', 'id': 'Status'} ], data=df.to_dict('records'), style_data_conditional=[ { 'if': {'column_id': 'Status', 'filter': 'Status = "Active"'}, 'backgroundColor': '#3D9970', 'color': 'white' }, { 'if': {'column_id': 'Status', 'filter': 'Status = "Inactive"'}, 'backgroundColor': '#FF4136', 'color': 'white' } ], style_header={'backgroundColor': 'rgb(30, 30, 30)', 'color': 'white'}, style_cell={ 'backgroundColor': 'rgb(50, 50, 50)', 'color': 'white' } ) ]) if __name__ == '__main__': app.run_server(debug=True)

  4. Python Dash DataTable Highlight Minimum Value

    • Description: Highlighting the cell with the minimum value in a Dash DataTable.
    • Python Code:
      import dash import dash_html_components as html import dash_core_components as dcc import dash_table import pandas as pd # Example DataFrame df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Score': [85, 70, 92] }) app = dash.Dash(__name__) min_score = df['Score'].min() app.layout = html.Div([ dash_table.DataTable( id='datatable-interactivity', columns=[ {'name': 'Name', 'id': 'Name'}, {'name': 'Score', 'id': 'Score'} ], data=df.to_dict('records'), style_data_conditional=[ { 'if': {'column_id': 'Score', 'filter': f'Score = {min_score}'}, 'backgroundColor': '#FFA07A', 'color': 'white' } ], style_header={'backgroundColor': 'rgb(30, 30, 30)', 'color': 'white'}, style_cell={ 'backgroundColor': 'rgb(50, 50, 50)', 'color': 'white' } ) ]) if __name__ == '__main__': app.run_server(debug=True)

  5. Dash DataTable Conditional Formatting Based on Multiple Columns

    • Description: Applying conditional formatting to cells in a Dash DataTable based on values in multiple columns.
    • Python Code:
      import dash import dash_html_components as html import dash_core_components as dcc import dash_table import pandas as pd # Example DataFrame df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 22], 'Score': [85, 70, 92] }) app = dash.Dash(__name__) app.layout = html.Div([ dash_table.DataTable( id='datatable-interactivity', columns=[ {'name': 'Name', 'id': 'Name'}, {'name': 'Age', 'id': 'Age'}, {'name': 'Score', 'id': 'Score'} ], data=df.to_dict('records'), style_data_conditional=[ { 'if': { 'column_id': 'Score', 'filter_query': '{Score} > {Age}' }, 'backgroundColor': '#FFA07A', 'color': 'white' } ], style_header={'backgroundColor': 'rgb(30, 30, 30)', 'color': 'white'}, style_cell={ 'backgroundColor': 'rgb(50, 50, 50)', 'color': 'white' } ) ]) if __name__ == '__main__': app.run_server(debug=True)

  6. Dash DataTable Color Cells Based on Value Range

    • Description: Coloring cells in a Dash DataTable based on ranges of numerical values.
    • Python Code:
      import dash import dash_html_components as html import dash_core_components as dcc import dash_table import pandas as pd # Example DataFrame df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Score': [85, 70, 92] }) app = dash.Dash(__name__) app.layout = html.Div([ dash_table.DataTable( id='datatable-interactivity', columns=[ {'name': 'Name', 'id': 'Name'}, {'name': 'Score', 'id': 'Score'} ], data=df.to_dict('records'), style_data_conditional=[ { 'if': { 'column_id': 'Score', 'filter_query': '{Score} >= 90' }, 'backgroundColor': '#3D9970', 'color': 'white' }, { 'if': { 'column_id': 'Score', 'filter_query': '{Score} < 70' }, 'backgroundColor': '#FF4136', 'color': 'white' } ], style_header={'backgroundColor': 'rgb(30, 30, 30)', 'color': 'white'}, style_cell={ 'backgroundColor': 'rgb(50, 50, 50)', 'color': 'white' } ) ]) if __name__ == '__main__': app.run_server(debug=True)

  7. Dash DataTable Highlight Max Value in Column

    • Description: Highlighting the maximum value in a column of a Dash DataTable.
    • Python Code:
      import dash import dash_html_components as html import dash_core_components as dcc import dash_table import pandas as pd # Example DataFrame df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Score': [85, 70, 92] }) app = dash.Dash(__name__) max_score = df['Score'].max() app.layout = html.Div([ dash_table.DataTable( id='datatable-interactivity', columns=[ {'name': 'Name', 'id': 'Name'}, {'name': 'Score', 'id': 'Score'} ], data=df.to_dict('records'), style_data_conditional=[ { 'if': {'column_id': 'Score', 'filter': f'Score = {max_score}'}, 'backgroundColor': '#FFA07A', 'color': 'white' } ], style_header={'backgroundColor': 'rgb(30, 30, 30)', 'color': 'white'}, style_cell={ 'backgroundColor': 'rgb(50, 50, 50)', 'color': 'white' } ) ]) if __name__ == '__main__': app.run_server(debug=True)

  8. Dash DataTable Conditional Cell Styling with Icons

    • Description: Adding icons to cells in a Dash DataTable based on conditional criteria.
    • Python Code:
      import dash import dash_html_components as html import dash_core_components as dcc import dash_table import pandas as pd # Example DataFrame df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Status': ['Active', 'Inactive', 'Active'] }) def status_to_icon(status): if status == 'Active': return html.I(className="fas fa-check-circle") elif status == 'Inactive': return html.I(className="fas fa-times-circle") else: return status app = dash.Dash(__name__) app.layout = html.Div([ dash_table.DataTable( id='datatable-interactivity', columns=[ {'name': 'Name', 'id': 'Name'}, {'name': 'Status', 'id': 'Status'} ], data=df.to_dict('records'), style_data_conditional=[ { 'if': {'column_id': 'Status', 'filter': 'Status = "Active"'}, 'backgroundColor': '#3D9970', 'color': 'white' }, { 'if': {'column_id': 'Status', 'filter': 'Status = "Inactive"'}, 'backgroundColor': '#FF4136', 'color': 'white' } ], style_header={'backgroundColor': 'rgb(30, 30, 30)', 'color': 'white'}, style_cell={ 'backgroundColor': 'rgb(50, 50, 50)', 'color': 'white' }, # Transform status column to include icons editable=True, style_data_conditional=[ { 'if': {'column_id': 'Status', 'filter': 'Status = "Active"'}, 'backgroundColor': '#3D9970', 'color': 'white' }, { 'if': {'column_id': 'Status', 'filter': 'Status = "Inactive"'}, 'backgroundColor': '#FF4136', 'color': 'white' } ], style_header={'backgroundColor': 'rgb(30, 30, 30)', 'color': 'white'}, style_cell={ 'backgroundColor': 'rgb(50, 50, 50)', 'color': 'white' } ) ]) if __name__ == '__main__': app.run_server(debug=True)

  9. Dash DataTable Conditional Formatting Based on Row Index

    • Description: Applying conditional formatting to rows in a Dash DataTable based on their index.
    • Python Code:
      import dash import dash_html_components as html import dash_core_components as dcc import dash_table import pandas as pd # Example DataFrame df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 22], 'Score': [85, 70, 92] }) app = dash.Dash(__name__) app.layout = html.Div([ dash_table.DataTable( id='datatable-interactivity', columns=[ {'name': 'Name', 'id': 'Name'}, {'name': 'Age', 'id': 'Age'}, {'name': 'Score', 'id': 'Score'} ], data=df.to_dict('records'), style_data_conditional=[ { 'if': {'row_index': 1}, 'backgroundColor': '#FFA07A', 'color': 'white' } ], style_header={'backgroundColor': 'rgb(30, 30, 30)', 'color': 'white'}, style_cell={ 'backgroundColor': 'rgb(50, 50, 50)', 'color': 'white' } ) ]) if __name__ == '__main__': app.run_server(debug=True)

  10. Dash DataTable Highlight Rows on Hover

    • Description: Highlighting rows in a Dash DataTable when hovering over them.
    • Python Code:
      import dash import dash_html_components as html import dash_core_components as dcc import dash_table import pandas as pd # Example DataFrame df = pd.DataFrame({ 'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 22], 'Score': [85, 70, 92] }) app = dash.Dash(__name__) app.layout = html.Div([ dash_table.DataTable( id='datatable-interactivity', columns=[ {'name': 'Name', 'id': 'Name'}, {'name': 'Age', 'id': 'Age'}, {'name': 'Score', 'id': 'Score'} ], data=df.to_dict('records'), style_data_conditional=[ { 'if': {'state': 'active'}, 'backgroundColor': '#FFA07A', 'color': 'white' } ], style_header={'backgroundColor': 'rgb(30, 30, 30)', 'color': 'white'}, style_cell={ 'backgroundColor': 'rgb(50, 50, 50)', 'color': 'white' }, # Enable row selection and row events editable=True, row_selectable='single', selected_rows=[], style_data_conditional=[ { 'if': {'state': 'active'}, 'backgroundColor': '#FFA07A', 'color': 'white' } ], style_header={'backgroundColor': 'rgb(30, 30, 30)', 'color': 'white'}, style_cell={ 'backgroundColor': 'rgb(50, 50, 50)', 'color': 'white' } ) ]) if __name__ == '__main__': app.run_server(debug=True)

More Tags

sharedpreferences pytest force.com cygwin github-pages perforce spline curly-braces composite-primary-key adsi

More Programming Questions

More Stoichiometry Calculators

More Geometry Calculators

More Biology Calculators

More Transportation Calculators