> For the complete documentation index, see [llms.txt](https://docs.shimoku.com/dev/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.shimoku.com/dev/elements/composite-template-charts/chart-and-modal-button.md).

# Chart and Modal Button

This template joins a chart with a description and a button that opens a modal.

### The Method To Use

The method is `s.plt.chart_and_modal_button()`

It must contain the following input variables:

```python
menu_path: str, 
order: int, 
# The parameters that the chart function will take when executed
chart_parameters: Dict,
# The name of the modal that will be used by the button
button_modal: str
```

And accepts the following input variables as optional:

```python
rows_size: int = 3,
cols_size: int = 12, 
# The funcion that will be executed passing the previous parameters,
# by default it will use a free_echarts bar chart
chart_function: Optional[Callable] = None,
button_label: str = 'Read more',
tabs_index: Optional[Tuple[str, str]] = None, 
modal_name: Optional[str] = None,
button_side_text: str = "Click on the button to read more about this topic.",
```

## Examples

This example shows how to use the method:

```python
data = [
    {'Email': 120, 'Union Ads': 132, 'Video Ads': 101, 'Search Engine': 134, 'Weekday': 'Mon'},
    {'Email': 220, 'Union Ads': 182, 'Video Ads': 191, 'Search Engine': 234, 'Weekday': 'Tue'},
    {'Email': 150, 'Union Ads': 232, 'Video Ads': 201, 'Search Engine': 154, 'Weekday': 'Wed'},
    {'Email': 820, 'Union Ads': 932, 'Video Ads': 901, 'Search Engine': 934, 'Weekday': 'Thu'},
    {'Email': 120, 'Union Ads': 132, 'Video Ads': 101, 'Search Engine': 134, 'Weekday': 'Fri'},
    {'Email': 220, 'Union Ads': 182, 'Video Ads': 191, 'Search Engine': 234, 'Weekday': 'Sat'},
    {'Email': 150, 'Union Ads': 232, 'Video Ads': 201, 'Search Engine': 154, 'Weekday': 'Sun'},
]

s.plt.chart_and_modal_button(
    order=0, button_modal='test modal',
    chart_function=s.plt.stacked_area,
    chart_parameters=dict(
        data=data,
        x="Weekday", variant='minimal',
        x_axis_name='Visits per weekday',
    )
)
```

<figure><img src="/files/rTnzzlwD9BqwcUrAW5bE" alt=""><figcaption></figcaption></figure>


---

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