tuesd4y-styles 0.1.2

Tuesd4y styling utilities for Python. Adapted from CarbonPlan.

Colors

A Python package providing custom color palettes and themes for data visualization with matplotlib and seaborn.

Styles are adapted from CarbonPlan Style.

Installation

pip install tuesd4y-styles

Usage

Basic Usage

# Import the required modules
from tuesd4y_styles import colors, mpl

# Set the theme (available themes: carbonplan_light)
mpl.set_theme(style='carbonplan_light')

# Load colors into your local namespace
lcs = locals()
lcs.update(**colors.light)

# Now you can use the colors in your plots
import matplotlib.pyplot as plt
import seaborn as sns

# Example with scatter plot using predefined colors
plt.scatter(*zip(*cluster_1), color=red, label='Cluster 1')

# Example with heatmap using custom colormaps
sns.heatmap(city_corr_matrix, annot=True, cmap='redteal_light_r', center=0, ax=ax)

Available Themes

• carbonplan_light
• carbonplan_dark

Available Color Palettes

The package provides color palettes through the colors.light module. Colors can be accessed directly after updating the local namespace as shown in the usage example.

Available Colormaps

• redteal_light_r: A reversed red-teal colormap suitable for correlation matrices and heatmaps

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Building

python -m build
python -m twine upload dist/*

License

MIT License