> 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/charts/scatter-charts/scatter-with-effect.md).

# Scatter with Effect

This is a variant of the [Scatter](/dev/elements/charts/scatter-charts/scatter.md)chart that adds an effect to specified points to highlight them.

## The Method To Use <a href="#the-method-to-use" id="the-method-to-use"></a>

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

It must contain the following input variables:

```python
order: int
x: str
y: str
data: Optional[Union[List[str], DataFrame, List[Dict]]]
```

Accepts the following input variables as optional:

```python
x_axis_name: Optional[str] = None 
y_axis_name: Optional[str] = None
title: Optional[str] = None
rows_size: Optional[int] = None
cols_size: Optional[int] = None
padding: Optional[List[int]] = None 
effect_points: Optional[List] = None
option_modifications: Optional[Dict] = None
variant: Optional[str] = None
```

## Examples <a href="#examples" id="examples"></a>

The execution of the following code:

```python
scatter_data_raw = [
    [161.2, 51.6], [167.5, 59.0], [159.5, 49.2], [157.0, 63.0], [155.8, 53.6],
    [170.0, 59.0], [159.1, 47.6], [166.0, 69.8], [176.2, 66.8], [160.2, 75.2],
    [172.5, 55.2], [170.9, 54.2], [172.9, 62.5], [153.4, 42.0], [160.0, 50.0],
    [147.2, 49.8], [168.2, 49.2], [175.0, 73.2], [157.0, 47.8], [167.6, 68.8],
    [159.5, 50.6], [175.0, 82.5], [166.8, 57.2], [176.5, 87.8], [170.2, 72.8],
    [174.0, 54.5], [173.0, 59.8], [179.9, 67.3], [170.5, 67.8], [160.0, 47.0],
    [154.4, 46.2], [162.0, 55.0], [176.5, 83.0], [160.0, 54.4], [152.0, 45.8],
    [162.1, 53.6], [170.0, 73.2], [160.2, 52.1], [161.3, 67.9], [166.4, 56.6],
    [168.9, 62.3], [163.8, 58.5], [167.6, 54.5], [160.0, 50.2], [161.3, 60.3],
    [167.6, 58.3], [165.1, 56.2], [160.0, 50.2], [170.0, 72.9], [157.5, 59.8],
]

scatter_source = [{'x': point[0], 'y': point[1]} for point in scatter_data_raw]

s.plt.scatter_with_effect(
    data=scatter_source,
    x='x', y='y', order=0,
    x_axis_name='X axis',
    y_axis_name='Y axis',
    title='Scatter with effect',
    effect_points=[1, 2, [172.7, 105.2], [153.4, 42]]
)
```

<figure><img src="/files/Rv9eZAet2N0feGzI7TqQ" alt=""><figcaption></figcaption></figure>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.shimoku.com/dev/elements/charts/scatter-charts/scatter-with-effect.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.