https://github.com/astrowonk/shiny_tables
Bootstrap Tables from Dataframes for Shiny for Python
https://github.com/astrowonk/shiny_tables
bootstrap dataframes shiny shiny-py shiny-python
Last synced: 15 days ago
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Bootstrap Tables from Dataframes for Shiny for Python
- Host: GitHub
- URL: https://github.com/astrowonk/shiny_tables
- Owner: astrowonk
- License: mit
- Created: 2023-08-19T13:37:48.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-01-30T13:01:06.000Z (over 2 years ago)
- Last Synced: 2025-07-07T06:43:34.751Z (10 months ago)
- Topics: bootstrap, dataframes, shiny, shiny-py, shiny-python
- Language: Python
- Homepage:
- Size: 41 KB
- Stars: 2
- Watchers: 2
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
### Bootstrap tables from DataFrames
A very early rough implementation for Python Shiny of my [Dash Dataframe Tables package](https://github.com/astrowonk/dash_dataframe_table). [See A Live Demo App Here.](https://marcoshuerta.com/shiny/shiny_tables/)
## 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:
```python
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.
```python
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:
```python
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']}"
)
```
