Metadata-Version: 2.1
Name: RainCloud
Version: 0.1.0.post1
Summary: A package for creating raincloud plots
Home-page: https://github.com/Yosri-Ben-Halima/RaincloudPlot
Author: Yosri Ben Halima
Author-email: yosri.benhalima@ept.ucar.tn
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown

# RainCloud

RainCloud is a Python package that provides a convenient function to create raincloud plots; a combination of density plots, box plots, and strip plots that provide a detailed visualization of data distributions.

## Features

- **Raincloud Plots**: Visualize the distribution of your data in a detailed and intuitive way.
- **Customization Options**: Easily customize the plot with options for titles, labels, colors, orientation, and more.
- **Thunder Mode**: Connect the means of each group with a point plot to emphasize differences between groups.

## Installation

You can install the RainCloud package directly from PyPI:

```sh
pip install RainCloud
```

## Usage

Here's how you can use the `create_raincloud_plot` function:

```python
import pandas as pd
from RainCloud.raincloud import create_raincloud_plot

# Generate example data
np.random.seed(42)
num_entries = 1000 

cities = ['Tunis', 'Sousse', 'Sfax', 'Gabes', 'Djerba']
temperatures = np.random.normal(loc=20, scale=10, size=num_entries)

city_offsets = {
    'Tunis': 10,
    'Sousse': 5,
    'Sfax': 0,
    'Gabes': -5,
    'Djerba': -1
}

temperatures = np.random.normal(loc=70, scale=15, size=num_entries)
city_choices = np.random.choice(cities, num_entries)

offsets = np.array([city_offsets[city] for city in city_choices])
adjusted_temperatures = temperatures + offsets

df = pd.DataFrame({
    'city': city_choices,
    'temp': adjusted_temperatures
})

# Create a raincloud plot
create_raincloud_plot(
    df=df, 
    x='city', 
    y='temp', 
    title='Raincloud Plot of Temperatures by City', 
    xlabel='City', 
    ylabel='Temperature (Â°F)', 
    thunder=True
)
```

## Parameters

- **df**: `DataFrame` containing the data to be plotted.
- **x**: Column name for the x-axis data.
- **y**: Column name for the y-axis data.
- **title**: Title of the plot.
- **xlabel**: Label for the x-axis (defaults to the `x` column name).
- **ylabel**: Label for the y-axis (defaults to the `y` column name).
- **palette**: Color palette for the plot (default: `'Set2'`).
- **alpha**: Transparency level for the plot elements (default: `0.6`).
- **orient**: Orientation of the plot, `'h'` for horizontal or `'v'` for vertical (default: `'h'`).
- **figsize**: Size of the figure (default: `(10, 10)`).
- **thunder**: Whether to connect the means of each group with a point plot (default: `False`).

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

## Contributing

Contributions are welcome! Please open an issue or submit a pull request on GitHub.

## Contact

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