jmu-colors 0.1.2

Color schemes of JMU Würzburg for matplotlib, seaborn, and plotly.

JMU Colors

A lightweight Python package providing the color scheme of the Julius-Maximilians-Universität Würzburg for Matplotlib, Seaborn, Plotly, and Latex, according to the 03 / 2024 Corporate Design Manual. Inspired by fau-colors.

Maintained independently; not an official repository of JMU

Color Overview

Primary Colors:

• $\color{#063D79}{\text{■ dunkelblau (063D79)}}$
• $\color{#D8DADC}{\text{■ grau (D8DADC)}}$

Secondary Colors:

• $\color{#50BBB0}{\text{■ mint (50BBB0)}}$
• $\color{#8573B3}{\text{■ violett (8573B3)}}$
• $\color{#447DC0}{\text{■ blau (447DC0)}}$
• $\color{#86BE84}{\text{■ gruen (86BE84)}}$
• $\color{#660954}{\text{■ berry (660954)}}$
• $\color{#009FE3}{\text{■ cyan (009FE3)}}$

Installation

pip install jmu-colors

Python Usage

The package automatically registers jmu_primary, jmu_secondary, and jmu_all as colormaps in matplotlib when imported.

Define Sample Data

import pandas as pd

df = pd.DataFrame({
    'Department': ['A', 'B', 'C', 'D', 'E'],
    'Students': [150, 240, 110, 180, 200],
})

Matplotlib

import matplotlib.pyplot as plt
import jmu_colors

# Matplotlib using a registered colormap
plt.scatter(df['Department'], df['Students'], c=df.index, cmap='jmu_all', s=300)
plt.show()

Seaborn

import seaborn as sns
import jmu_colors

# Seaborn using global color palette
sns.set_palette('jmu_secondary')
sns.barplot(data=df, x='Department', y='Students', hue='Department', legend=False)
plt.show()

Plotly

import plotly.express as px
from jmu_colors import ALL_COLORS

# Plotly accepts hex lists natively. Just pass the raw colors.
fig = px.bar(
    df, 
    x="Department", 
    y="Students", 
    color="Department", 
    color_discrete_sequence=list(ALL_COLORS.values()),
)
fig.show()

LaTeX Usage

Copy the latex/jmu-colors.sty file into your LaTeX project folder.

\documentclass{article}
\usepackage{jmu-colors}

\begin{document}
\textcolor{jmu-dunkelblau}{This text is JMU dark blue!}
\end{document}