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---

tags: [gradio-custom-component, Plot, med, medicine, bio, biology, chem, chemistry, MSA, multiple sequence alignment, seqlogo, annotation, consensus histogram, visualize]
title: gradio_msaplot
short_description: MSAplot is customizable panels for plotting MSA.
colorFrom: blue
colorTo: yellow
sdk: gradio
pinned: false
app_file: demo/space.py
---


# `gradio_msaplot`

<img alt="Static Badge" src="https://img.shields.io/badge/version%20-%200.0.1%20-%20orange"> <a href="https://github.com/Josephrp/GradioMSAPlot.git/issues" target="_blank"><img alt="Static Badge" src="https://img.shields.io/badge/Issues-white?logo=github&logoColor=black"></a> <a href="https://huggingface.co/spaces/seq-to-pheno/MSAPlot/discussions" target="_blank"><img alt="Static Badge" src="https://img.shields.io/badge/%F0%9F%A4%97%20Discuss-%23097EFF?style=flat&logoColor=black"></a>



MSAplot is customizable panels for plotting MSA, seqlogo, annotation, and consensus histograms.



## Installation



```bash

pip install gradio_msaplot
```



## Usage



```python



import gradio as gr

from gradio_msaplot import MSAPlot, MSAPlotData

import matplotlib

matplotlib.use('Agg')



example = MSAPlot().example_value()



with gr.Blocks() as demo:

    with gr.Row():

        MSAPlot(label="Blank"),  # blank component

        MSAPlot(value=example, label="Populated"),  # populated component





if __name__ == "__main__":

    demo.launch()



```

## `MSAPlot`

### Initialization

<table>
<thead>
<tr>
<th align="left">name</th>
<th align="left" style="width: 25%;">type</th>
<th align="left">default</th>
<th align="left">description</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"><code>value</code></td>
<td align="left" style="width: 25%;">

```python

typing.Any | None

```

</td>
<td align="left"><code>None</code></td>
<td align="left">None</td>
</tr>

<tr>
<td align="left"><code>label</code></td>
<td align="left" style="width: 25%;">

```python

str | None

```

</td>
<td align="left"><code>None</code></td>
<td align="left">None</td>
</tr>

<tr>
<td align="left"><code>every</code></td>
<td align="left" style="width: 25%;">

```python

float | None

```

</td>
<td align="left"><code>None</code></td>
<td align="left">None</td>
</tr>

<tr>
<td align="left"><code>show_label</code></td>

<td align="left" style="width: 25%;">



```python

bool | None

```



</td>

<td align="left"><code>None</code></td>

<td align="left">None</td>

</tr>



<tr>

<td align="left"><code>container</code></td>

<td align="left" style="width: 25%;">



```python

bool

```



</td>

<td align="left"><code>True</code></td>

<td align="left">None</td>

</tr>



<tr>

<td align="left"><code>scale</code></td>

<td align="left" style="width: 25%;">



```python

int | None

```



</td>

<td align="left"><code>None</code></td>

<td align="left">None</td>

</tr>



<tr>

<td align="left"><code>min_width</code></td>
<td align="left" style="width: 25%;">

```python

int

```

</td>
<td align="left"><code>160</code></td>
<td align="left">None</td>
</tr>

<tr>
<td align="left"><code>visible</code></td>
<td align="left" style="width: 25%;">

```python

bool

```

</td>
<td align="left"><code>True</code></td>
<td align="left">None</td>
</tr>

<tr>
<td align="left"><code>elem_id</code></td>

<td align="left" style="width: 25%;">



```python

str | None

```



</td>

<td align="left"><code>None</code></td>

<td align="left">None</td>

</tr>



<tr>

<td align="left"><code>elem_classes</code></td>
<td align="left" style="width: 25%;">

```python

list[str] | str | None

```

</td>
<td align="left"><code>None</code></td>
<td align="left">None</td>
</tr>

<tr>
<td align="left"><code>render</code></td>
<td align="left" style="width: 25%;">

```python

bool

```

</td>
<td align="left"><code>True</code></td>
<td align="left">None</td>
</tr>

<tr>
<td align="left"><code>key</code></td>
<td align="left" style="width: 25%;">

```python

int | str | None

```

</td>
<td align="left"><code>None</code></td>
<td align="left">None</td>
</tr>
</tbody></table>


### Events

| name | description |
|:-----|:------------|
| `change` | Triggered when the value of the MSAPlot changes either because of user input (e.g. a user types in a textbox) OR because of a function update (e.g. an image receives a value from the output of an event trigger). See `.input()` for a listener that is only triggered by user input. |
| `clear` | Triggered when the plot is cleared. |



### User function

The impact on the users predict function varies depending on whether the component is used as an input or output for an event (or both).

- When used as an Input, the component only impacts the input signature of the user function.
- When used as an output, the component only impacts the return signature of the user function.

The code snippet below is accurate in cases where the component is used as both an input and an output.

- **As output:** Is passed, the preprocessed input data sent to the user's function in the backend.
- **As input:** Should return, the output data received by the component from the user's function in the backend.

 ```python

 def predict(

     value: MSAPlotData | None

 ) -> MSAPlotData:

     return value

 ```
 

## `MSAPlotData`

### Initialization

<table>
<thead>
<tr>
<th align="left">name</th>
<th align="left" style="width: 25%;">type</th>
<th align="left">default</th>
<th align="left">description</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"><code>data</code></td>
<td align="left" style="width: 25%;">

```python

typing.Any

```

</td>
<td align="left"><code>None</code></td>
<td align="left">None</td>
</tr>
</tbody></table>