matplotplusplus
matplotlib-cpp
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matplotplusplus | matplotlib-cpp | |
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26 | 10 | |
3,909 | 4,169 | |
- | - | |
6.5 | 0.0 | |
9 days ago | 5 months ago | |
C++ | C++ | |
MIT License | MIT License |
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
matplotlib-cpp
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Any user of Matplotlibcpp here? Need some help with updating plots
The library (matplotlibcpp) on GitHub
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C++ DSP Tools
I am aware of this excellent matplotlib C++ wrapper. Are there any C/C++ tools similar to scipy.signals? I currently use the python tools to generate header files and can translate algorithms to C++, but I would like a more direct well to develop in C++.
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Matplotlib-cpp install in Visual Studio???
I want to plot graphs in C++ with matplotlib-cpp (https://github.com/lava/matplotlib-cpp). But I dont know how to install it in Visual Studio. I followed the instruction on website. But I got Errors like 'Python.h not found' ...
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I want to make a program that draws a graphical function to a png and I don't know how.
If you want it to be as simple as possible Iād recommend this matplotlib wrapper
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C++ plotting library for Windows + MinGW similar to matplotlib in Python?
THere is also this one, which is header only, so it's much simpler to install https://github.com/lava/matplotlib-cpp
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Is there an efficient way to give parameters to a non-Python script and get a return value to use back in Python?
There's actually a wrapper for matplotlib for cpp https://github.com/lava/matplotlib-cpp, so it's more or less doing exactly what you asked. Cpp doing all the heavy lifting, then matplotlib making the graphs.
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How to plot graphs in C++
There's matplotlib-cpp if you want to use the same kind of interface as with python.
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Best scientific graphing library?
or https://github.com/lava/matplotlib-cpp
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(Clion, macOS, arm64) What is the "easiest" way of plotting 2D graphs that can be added to already finished project?
well I usually use Python's matplotlib to do the plottings. It was the easiest I think. Before that, I attempted this library, which is a somewhat wrapper for C++: https://github.com/lava/matplotlib-cpp
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Which Plotting Libraryheaderframework Do You
Since you mentioned it, there is a wrapper for matplotlib: https://github.com/lava/matplotlib-cpp
What are some alternatives?
matplotlib - C++ wrappers around python's matplotlib
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
implot - Immediate Mode Plotting
feedgnuplot - Tool to plot realtime and stored data from the commandline, using gnuplot.
manim - Animation engine for explanatory math videos
Pangolin - Pangolin is a lightweight portable rapid development library for managing OpenGL display / interaction and abstracting video input.
volbx - Graphical tool for data manipulation written in C++/Qt.
bauh - Graphical user interface for managing your Linux applications. Supports AppImage, Debian and Arch packages (including AUR), Flatpak, Snap and native Web applications
Graphia - A visualisation tool for the creation and analysis of graphs
Numba - NumPy aware dynamic Python compiler using LLVM