tuesd4y-styles 0.1.0

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.

Installation

pip install .

Usage

Basic Usage

# Import the required modules
import colors.mpl as mpl
import colors.colors as colors

# 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

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.

License

MIT License