Skip to content

Configuration and Customization Guide

Welcome to the MONET Plots configuration guide! This comprehensive resource will help you customize plots, create custom styles, and configure advanced settings to match your specific needs and publication requirements.

Overview

MONET Plots provides extensive customization options while maintaining default professional styling. This guide covers:

  • Style Configuration - Creating custom visual styles
  • Plot Customization - Modifying individual plot elements
  • Advanced Settings - Fine-tuning plot behavior
  • Theming - Creating consistent branded styles
Configuration Level Difficulty Use Case
Basic Styling Beginner Quick appearance changes
Custom Styles Intermediate Project-specific themes
Advanced Customization Advanced Full control over plots
Performance Tuning Intermediate Optimization settings

Getting Started

Quick Customization

import matplotlib.pyplot as plt
from monet_plots import style, TimeSeriesPlot

# Apply a custom style
plt.style.use(style.wiley_style)

# Quick customization of a plot
plot = TimeSeriesPlot(figsize=(12, 6))
plot.plot(data, title="Custom Styled Plot")
plot.save("custom_plot.png")

Configuration Hierarchy

MONET Plots follows a configuration hierarchy:

  1. Global defaults - Library-wide settings
  2. Style overrides - Custom style dictionaries
  3. Plot-specific - Individual plot customizations
  4. Runtime parameters - Temporary modifications