starbars

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #ai #typescript #llm #go #golang #android #machine-learning #rust #deep-learning #linux

(★ 20)

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

starbars 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# ✨ 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.

starbars

starbars 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

starbars

starbars 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README