MikeWLloyd/shiny_tables

Bootstrap Tables from Dataframes for Shiny for Python

Bootstrap tables from DataFrames

A very early rough implementation for Python Shiny of my Dash Dataframe Tables package. See A Live Demo App Here.

Features

This enhanced_from_dataframe function creates bootstrap tables with some automatic features like links and conditional formatting.

• Automatic Links It will automatically generate ui.tags.A wrappers around a column from a matched column in the same dataframe. The hyperlink column must match the column_name + a specific suffix. In the example to the right, the (hidden) link column is Company_HREF, using the default suffix.
• Conditional Formatting Criteria can either be a list of tuples (match_list,style_dict) or a callable that returns the style dict if the condition is met. This allows for more complex condition formatting.
• Any Callable can wrap a cell Pass a callable to the function to customize the content of any column. Turn it into a button, link, wrap it in any UI elements you can create in Shiny.

How to use

This is invoked with render.ui and outputting to a ui output:

        
def server(input, output, session):

    @output
    @render.ui
    def result():
        return enhanced_from_dataframe(
            df,
            markdown_columns=['markdown_example'],
            cell_style_dict=cell_style_dict,
            columns=['Company', 'Date', 'Value', 'Value2', 'markdown_example'])

The code below generates the conditional formatting you see. You can also add a specific bootstrap class by putting a class key in the "style" dictionary.

def color_positive(val):
    if val > 0:
        return {'class': 'table-success'}
    elif val < 0:
        return {'class': "table-danger"}


cell_style_dict = {
    'Company': [
        (['Yahoo', 'Apple'], {
            "style": 'font-weight: bold'
        }),
        (['Oracle'], {
            'class': 'table-danger'
        }),
    ],
    'Value2':
    lambda x: {
        "style": 'background-color: #7FFFD4'
    } if x > 10 else {
    }
    'Date':
    lambda x: {
        'class': 'table-info'
    } if x.weekday() in [4, 6] else {},
    'Value':
    color_positive
}

This code has a callable wrapper for the Company2 column:

def wrap_company(row, col_name):
    return experimental.ui.tooltip(
        ui.tags.button(row[col_name], ),
        f"This is a tool tip for {row[col_name]} that shows the link {row['Company_HREF']}"
    )