c++绘图库matplotlib-cpp的安装与简单使用

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c++绘图库matplotlib-cpp的安装与简单使用


https://github.com/lava/matplotlib-cpp


mkdir build && cd build
cmake ..
make
sudo make install


[sudo] jiang 的密码：
[  6%] Built target spy
[ 12%] Built target nonblock
[ 18%] Built target subplot2grid
[ 25%] Built target modern
[ 31%] Built target surface
[ 37%] Built target basic
[ 43%] Built target animation
[ 50%] Built target fill
[ 56%] Built target xkcd
[ 62%] Built target bar
[ 68%] Built target fill_inbetween
[ 75%] Built target update
[ 81%] Built target contour
[ 87%] Built target minimal
[ 93%] Built target lines3d
[100%] Built target colorbar
Install the project...
-- Install configuration: ""
-- Installing: /usr/local/include/matplotlibcpp.h
-- Installing: /usr/local/lib/matplotlib_cpp/cmake/matplotlib_cppTargets.cmake
-- Installing: /usr/local/lib/matplotlib_cpp/cmake/matplotlib_cppConfig.cmake


安装好后就可以使用了 cmake的方式来

1. cmake_minimum_required (VERSION 3.15)
   
2. project (main)
   
3. 
   
4. SET(CMAKE_CXX_STANDARD 14)
   
5. #SET(CMAKE_C_STANDARD 11)
   
6. 
   
7. 
   
8. set(ALL_SRCS "minimal.cpp")
   
9. 
   
10. add_executable(main ${ALL_SRCS})
    
11. 
    
12. # cmake方式依赖Python头文件和库文件的配置
    
13. 
    
14. find_package(Python3 COMPONENTS Interpreter Development REQUIRED)
    
15. find_package(Python3 COMPONENTS NumPy)
    
16. find_package(PythonLibs REQUIRED)
    
17. 
    
18. # python的头文件 PYTHON_INCLUDE_DIRS
    
19. include_directories(${PYTHON_INCLUDE_DIRS})
    
20. # python的库文件 PYTHON_LIBRARIES   
    
21. # 解决报错： fatal error: Python.h: 没有那个文件或目录
    
22. target_link_libraries(main ${PYTHON_LIBRARIES})
    
23. 
    
24. 
    

复制代码

-- Found Python3: /usr/bin/python3.6 (found version "3.6.9") found components: Interpreter Development Development.Module Development.Embed
-- Found Python3: /usr/include/python3.6m (found version "3.6.9") found components: NumPy Interpreter Development.Module

-- Found PythonLibs: /usr/lib/x86_64-linux-gnu/libpython3.6m.so (found version "3.6.9")

1. #include "matplotlibcpp.h"
   
2. 
   
3. // 已经安装到了系统里 Installing: /usr/local/include/matplotlibcpp.h
   
4. 
   
5. namespace plt = matplotlibcpp;
   
6. 
   
7. int main() {
   
8.     plt::plot({1,3,2,4});
   
9.     plt::show();
   
10.     return 0;
    
11. }
    

复制代码

// 图片展示出来 cfar之后的目标点的x和y索引  matplotlib-cpp
    plt::figure_size(1280, 960);
    plt::title("os_cfar_detected_target_point_num=" + std::to_string(target_point_num_cfar_detected));
    plt::xlabel("x_zhou");
    plt::ylabel("y_zhou");
    std::vector<float> plot_x, plot_y;
    for(auto iter=target_point_cfar_detected.begin(); iter != target_point_cfar_detected.end(); ++iter){
        point_3d temp = *iter;
        plot_x.push_back(ticks_x_axis[int(temp.get_x())]);
        plot_y.push_back(ticks_y_axis[int(temp.get_y())]);

    }
    std::map<std::string, std::string> param_dict;
    param_dict["marker"] = "*";
    param_dict["c"] = "red";
    plt::scatter<float, float>(plot_x, plot_y, 10.0, param_dict);
    plt::xticks<float>(ticks_x_axis);
    plt::yticks<float>(ticks_y_axis);
    plt::save("os_cfar_detected_target_point_num_" + std::to_string(target_point_num_cfar_detected) + ".png");
    plt::show();