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This Python tool helps visualizing statistical significance on existing Matplotlib plots by adding significance bars and p-value labels between chosen pairs of columns.

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# ✨ starbars ✨

This Python tool helps visualizing statistical significance on existing Matplotlib
 plots by adding significance bars and p-value labels between chosen pairs of columns.

## Features

- Converts p-values to asterisk notations for easy interpretation.
- Draws statistical significance bars on Matplotlib plots.
- Customizable bar margins, tip lengths, font sizes, and top margins.

## Installation

You can install the package via pip:

```bash
pip install starbars
```

### Example

```python
import starbars
import matplotlib.pyplot as plt

# Example data
categories = ['A', 'B', 'C']
values = [10, 20, 15]
annotations = [('A', 'B', 0.01), ('B', 'C', 0.05)]
plt.bar(categories, values)

# Annotate significance
starbars.draw_annotation(annotations)

plt.show()
```

This example creates a simple bar plot and uses the `draw_annotation` function to add statistical significance annotations between the specified pairs.
For more detailed examples, please check the [example](https://github.com/elide-b/starbars/blob/main/example.py).

#### Parameters

- `annotations`: List of tuples `(x1, x2, p)` containing the x-axis labels and the p-value of the pair.
- `ns_show`: Whether to show bars for non-statistical p-values. (Default: True)
- `ax`: The axis of subplots to draw annotations on. If `ax` is not provided, it implies that you are working with a single plot rather than a set of subplots. In such cases, the annotations apply to the only existing plot in the figure. (Default: None)
- `bar_gap`: Gap in between the bars of data. Default is 3% of the y-axis.
- `tip_length`: Length of the tip of the statistical bar. Default is 3% of the y-axis.
- `top_margin`: Margin of the last annotation from the top of the graph. Default is 5% of the y-axis.
- `text_distance`: Distance between the bar and the text. Default is 2% of the y-axis.
- `fontsize`: Font size of the annotations. Default is 10.
- `h_gap`: gap between two neighbouring annotations. Default is 3% of the cross data axis.

## Contributing

We welcome contributions!
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also
simply open an issue with the tag **"enhancement"**.

To contribute:

1. Fork the repository.
2. Create a new branch (`git checkout -b feature-branch`).
3. Commit your changes (`git commit -m 'Add some amazing feature'`).
4. Push to the branch (`git push origin feature-branch`)
5. Open a pull request

## License

This project is licensed under the MIT License. See the LICENSE file for more details.

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