alandefreitas/matplotplusplus

Features

• C++ Visualization - Provides a high-performance C++ library for creating 2D and 3D scientific charts, plots, and graphs.
• Colormap Applications - Maps numeric data values to continuous color scales using predefined or custom colormaps.
• Geographic Map Visualizations - Maps data points to latitude and longitude using specialized geobubble and geodensity plots.
• Box Plots - Provides box-and-whisker plots to visualize data distribution through quartiles, medians, and outliers.
• Bar Charts - Renders discrete data as rectangular bars, including support for Pareto charts.
• Stacked and Grouped Bar Plots - Renders vertical bars to represent discrete data using grouped series and custom widths.
• Axis Limit Control - Provides mechanisms for setting manual or automatic boundaries to control the visible range of plot dimensions.
• Custom Plot Type Definitions - Provides a framework for defining new plot categories by implementing custom backend interfaces for specialized visualizations.
• Histograms - Creates histograms with configurable binning algorithms and normalization methods to analyze data distributions.
• Geographic Data Mapping - Renders spatial data onto world maps with automatic resolution switching and axis-based cropping.
• Rendering Engine Support - Integrates with multiple rendering backends to handle the display and output of graphical data.
• Mathematical Function Plotting - Generates 2D graphs based on mathematical functions provided as lambda functions or string expressions.
• Data Visualization Libraries - Provides a comprehensive C++ library for representing complex scientific datasets through visual graphics.
• Backend Integration Layers - Decouples high-level plotting logic from low-level rendering engines to support various output backends.
• Graph Node Visualizations - Renders directed and undirected graphs of nodes and edges for relationship analysis.
• Backend-Agnostic Rendering Pipelines - Decouples high-level plotting logic from low-level graphics engines to support multiple output backends.
• Multi-Backend Renderers - Supports switching between different rendering engines to balance stability and high-frame-rate performance.
• Network Graph Visualization - Renders directed and undirected graph networks to visualize relationship data.
• Plot Annotations - Provides a comprehensive system for adding text, arrows, rectangles, and ellipses to highlight specific data points.
• Scatter Plot Rendering - Renders markers for data points in 2D and 3D spaces without connecting lines.
• 3D Scatter Plots - Renders sets of three-dimensional coordinates as a collection of points with varying marker sizes.
• Geographic Plotting - Provides capabilities to render data points on world maps based on latitude and longitude.
• Graph Visualization Libraries - Offers tools for rendering directed and undirected network graphs of nodes and edges.
• Geographic Visualization Tools - Provides utilities for plotting location-based data on world maps with bubble and density overlays.
• Distribution Plots - Provides histograms, boxplots, and scatter plots to analyze the probability distribution and spread of data.
• Mathematical Surface Rendering - Generates 3D surfaces, meshes, waterfalls, and ribbons based on mathematical coordinates.
• Scientific Plotting Frameworks - Implements a comprehensive framework for professional scientific data presentation using various specialized chart types.
• API Design Patterns - Provides a dual-interface API offering both a global functional approach for rapid prototyping and an object-oriented interface for granular control.
• Line Plots - Generates 2D and 3D line charts, including staircase plots and error bars.
• Heatmaps - Implements heatmaps that visualize 2D data matrices as grids of colored cells with normalization.
• Axis Labeling - Provides the ability to assign descriptive text and semantic headings to the vertical axis.
• Subplot Grid Layouts - Organizes multiple independent plots into a rectangular grid within a single figure for comparative analysis.
• Multidimensional Visualization - Visualizes complex datasets using parallel coordinates, heatmaps, and 3D surface plots to identify patterns.
• Word Cloud Generators - Generates visual clusters of words where size and color are proportional to frequency.
• Chart Annotations - Implements visual annotations such as directed arrows and text labels to highlight specific data points.
• Axis Title and Grid Customizers - Provides comprehensive control over grid visibility, tick positions, labels, and formatting.
• Logarithmic Axis Scales - Supports logarithmic axis scales to visualize data spanning multiple orders of magnitude.
• Axis Label and Tick Customizers - Provides tools to configure the positions and labels of tick marks on the Z-axis for 3D plots.
• Pareto Charts - Renders a dual-axis chart with sorted bars and a cumulative distribution line.
• Stacked - Supports bar charts where multiple data series are stacked vertically to show part-to-whole relationships.
• Pie Charts - Renders circular pie charts to show proportional data segments as slices of a whole.
• Implicit Function Plotting - Visualizes functions defined by implicit equations without requiring an explicit solution for variables.
• Plot Title Customizers - Assigns text labels to the top of plots using multi-line or mathematical formatting.
• Error Bar Visualizations - Adds vertical or horizontal lines to data points to represent uncertainty or error margins.
• Legend Management - Provides utilities for creating and managing a descriptive legend to identify data series in plots.
• Plot Styling Configurators - Provides tools for setting line styles, markers, and colors using shorthand specifications.
• Polar Plot Axes - Provides a full polar coordinate system for rendering line, scatter, and histogram plots.
• Sized Bubble Maps - Creates geobubble plots where marker size represents a third dimension of geographic data.
• Binned Scatter Plots - Visualizes large datasets by grouping points into bins to represent density and avoid overplotting.
• Plot Matrices - Generates a grid of axes combining histograms and scatter plots to visualize data correlations.
• 3D Camera Projection Systems - Implements 3D camera projection systems to adjust azimuth, elevation, and lighting for 3D visualizations.
• Camera View Controllers - Allows adjusting the azimuth and elevation angles of a virtual camera to change the 3D plot perspective.
• Canvas Area Filling - Renders filled areas between data lines in stacked or unstacked configurations.
• Vector Field Plotters - Renders 2D and 3D vector fields using quiver and feather plots to represent magnitude and direction.
• Area Charts - Fills the region between the plot line and a baseline to visualize volume.
• Data Plotting Workflows - Generates publication-quality figures featuring error bars, logarithmic scales, and contour plots.
• Directed Graph Visualization - Renders networks of nodes and edges with directed connections and custom labels.
• Image Matrix Rendering - Displays 2D arrays as images supporting grayscale, RGB channels, and transparency.
• Image Plotting - Renders images and 2D arrays using standard image show and RGB plotting techniques.
• Contour Plots - Generates contour lines or filled regions from a lambda function to represent surfaces on a plane.
• Filled - Generates a filled contour plot from 2D data with custom level intervals and labels.
• Plot Color Mapping - Handles RGBA color arrays and colormaps to manage visual properties for plotted elements.
• Color Scale Bars - Displays a color scale next to a plot to map colors to numeric values using custom labels.
• Pseudocolor Image Rendering - Displays 2D arrays as pseudocolor images with custom axis limits and transparency.
• Stem Plots - Visualizes discrete data points in 2D and 3D space using vertical lines connected to markers.
• Undirected Graph Visualization - Renders network graphs of nodes and connections using vertex pairs for undirected relational data.
• Vector Field Visualizations - Visualizes vector fields using feather-style markers to indicate direction and magnitude.
• Scientific Plot Exporters - Saves plots to files in various vector, raster, or text-based formats suitable for scientific publications.
• Axis Appearance Configurations - Provides comprehensive options for customizing axis visibility, grid lines, limits, and labels.
• Geographic Density Plots - Visualizes the spatial density of data points across geographic coordinates using latitude and longitude.
• Deferred Rendering - Defers the actual drawing of plots until an explicit command is given to optimize update frequency.
• Discrete Data Visualization - Provides a suite of 2D and 3D plots for discrete data, including bar and Pareto charts.
• Interactive Plotting Frameworks - Generates dynamic visualizations that allow users to explore and interact with data in real-time.
• Dual-Interface Dispatch Systems - Provides both a global functional interface for rapid prototyping and an object-oriented interface for precise control.
• Multi-Series Plotting - Supports rendering multiple independent data series on a shared coordinate system without clearing the axes.
• Staircase Plots - Renders lines with vertical and horizontal steps to represent discrete data series.
• Stem Plots - Displays discrete data as vertical lines with markers at the ends in 2D and 3D.
• Appearance Customizations - Allows customization of the overall visual presentation, including window title, background color, and font styles.
• Global Figure Annotations - Adds overarching centered titles across the top of composite figures containing multiple subplots.
• Dual Axis Configurations - Maps a second vertical scale to the right side of a plot to visualize diverging data magnitudes.
• Parallel Coordinate Charts - Visualizes multi-dimensional data by representing each data point as a polyline across parallel axes.
• Polar-to-Cartesian Converters - Translates data points between polar and Cartesian systems to enable a variety of geometric plotting styles.
• Axis Tick Formatters - Provides utilities to format X-axis tick labels using custom strings or currency styles.
• Axis Label Formatters - Provides custom string patterns and currency formatting for numeric tick labels on the vertical axis.
• Multi-Plot Areas - Allows the definition of multiple independent coordinate systems within one figure to view datasets side-by-side.
• Plot Layout Engines - Provides a component-based layout engine to organize independent coordinate systems into tiled grids or subplots.
• Data Formatting - Graphics library for data visualization.
• Data Visualization - Graphics library for data visualization.

Star-Verlauf