matplotplusplus
Graphia
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matplotplusplus | Graphia | |
---|---|---|
26 | 8 | |
3,909 | 219 | |
- | 2.3% | |
6.5 | 9.6 | |
9 days ago | 7 days ago | |
C++ | C++ | |
MIT License | GPL3 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
matplotplusplus
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Creating k-NN with C++ (from Scratch)
cmake_minimum_required(VERSION 3.5) project(knn_cpp CXX) # Set up C++ version and properties include(CheckIncludeFileCXX) check_include_file_cxx(any HAS_ANY) check_include_file_cxx(string_view HAS_STRING_VIEW) check_include_file_cxx(coroutine HAS_COROUTINE) set(CMAKE_CXX_STANDARD 20) set(CMAKE_BUILD_TYPE Debug) set(CMAKE_CXX_STANDARD_REQUIRED ON) set(CMAKE_CXX_EXTENSIONS OFF) # Copy data file to build directory file(COPY ${CMAKE_CURRENT_SOURCE_DIR}/iris.data DESTINATION ${CMAKE_CURRENT_BINARY_DIR}) # Download library usinng FetchContent include(FetchContent) FetchContent_Declare(matplotplusplus GIT_REPOSITORY https://github.com/alandefreitas/matplotplusplus GIT_TAG origin/master) FetchContent_GetProperties(matplotplusplus) if(NOT matplotplusplus_POPULATED) FetchContent_Populate(matplotplusplus) add_subdirectory(${matplotplusplus_SOURCE_DIR} ${matplotplusplus_BINARY_DIR} EXCLUDE_FROM_ALL) endif() FetchContent_Declare( fmt GIT_REPOSITORY https://github.com/fmtlib/fmt.git GIT_TAG 7.1.3 # Adjust the version as needed ) FetchContent_MakeAvailable(fmt) # Add executable and link project libraries and folders add_executable(${PROJECT_NAME} main.cc) target_link_libraries(${PROJECT_NAME} PUBLIC matplot fmt::fmt) aux_source_directory(lib LIB_SRC) target_include_directories(${PROJECT_NAME} PRIVATE ${CMAKE_CURRENT_SOURCE_DIR}) target_sources(${PROJECT_NAME} PRIVATE ${LIB_SRC}) add_subdirectory(tests)
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Help making plot for experiment
If you want a C++ solution you can use a library like matplot++.
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Widely-used graphics library
If you want a strict C++ equivalent to SDL the clear answer is SFML. If you just want to visualize 2D/3D data there's matplot++. If you want something slightly higher-level than SDL/SFML (with pre-made UI widgets and such) there's imGUI. If you need an all-in-one GUI solution for desktop or mobile apps there's Qt.
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Embedding matplotlibcpp plot into QT QWidget
If not, then ditch Python and matplotlib and use a different C++ native plotting framework such as matplot++
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Best Library to Visualize Mathematical Concepts
The best way to visualize most mathematical concepts is by plotting a 2D graph. To do that you can use e.g. Matplot++
- Update on C++ DataFrame project
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How to implement Matplotlib in C++
If you just want to plot graphs in C++ check out https://alandefreitas.github.io/matplotplusplus/. There is extensive documentation on how to use it. But if you haven't used a library before you should start here:
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2D Animation for algorithms
Using a 3rd party UI library, you certainly can. E.g. with MatPlot++
- I want to make a program that draws a graphical function to a png and I don't know how.
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C++ plotting library for Windows + MinGW similar to matplotlib in Python?
Maybe Matplot++ is the solution. You can check more info in https://github.com/alandefreitas/matplotplusplus
Graphia
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NetworkX – Network Analysis in Python
Export the graph to GML or to GraphML or to GraphViz DOT or to some other Graph format. BTW I recommend 3D graph visualization over 2D when possible, that is when you're exploring interactively as opposed to printing figures. The Graphia tool is the only FOSS tool for this purpose that I know of:
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How to create a map showing the relationship between separate data points?
I may be biased. https://graphia.app
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Graphviz: Open-source graph visualization software
A fast 3D alternative for visualizing large graphs is Graphia: https://github.com/graphia-app/graphia https://graphia.app However, it's currently suffering from the Qt switch from 5 to 6.
Regarding Graphviz itself, I wonder why is there no special layout logic for planar graphs? They can be recognized and embedded on the plane in linear time without intersecting edges, so it would be very nice if some of the Graphviz tools actually did that.
A recent set of minimal graph coloring Graphviz visualizations of mine: https://gitlab.com/nsajko/example_optimally_colored_graphs
- Handbook of Graph Drawing and Visualization
- Rick and Morty’s Thanksploitation Deciduous Decision Tree
What are some alternatives?
matplotlib - C++ wrappers around python's matplotlib
AlphaPlot - :chart_with_upwards_trend: Application for statistical analysis and data visualization which can generate different types of publication quality 2D and 3D plots with extensive visual customization.
matplotlib-cpp - Extremely simple yet powerful header-only C++ plotting library built on the popular matplotlib
Gephi - Gephi - The Open Graph Viz Platform
implot - Immediate Mode Plotting
dtale - Visualizer for pandas data structures
manim - Animation engine for explanatory math videos
sketchviz - A command line clone of https://sketchviz.com/
volbx - Graphical tool for data manipulation written in C++/Qt.
pygraphistry - PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
bauh - Graphical user interface for managing your Linux applications. Supports AppImage, Debian and Arch packages (including AUR), Flatpak, Snap and native Web applications
graphviz