Step 1 : Install some important libraries
Matplotlib for C++ requires a working Python installation as well as Matplotlib. Python2.7 and Python3 (>= 3.6) have been tested, but other versions should work as well. In the linking process the exact version of Python to use can be specified by linking the according library.
$ cd Downloads
$ sudo apt-get install python3.8-dev
$ sudo apt-get install python3.8-numpy
$ sudo apt-get install python3-matplotlib
$ wget https://raw.githubusercontent.com/lava/matplotlib-cpp/master/matplotlibcpp.h
In a download directory a file is downloaded named ‘matplotlibcpp.h’. This files is the C++ wrapper of matplotlib python. Save this file and store it in the include directory of your project. Later we link this file or library with our main program using G++ or CMAKELISTS.
Step 2 : Write a main program
Create a file main.cpp in the src folder of your project. Write some program to test this matplolib library in C++.
#include "matplotlibcpp.h"
namespace plt = matplotlibcpp;
int main()
{
plt::plot({1,2,3,4}, "*");
plt::show();
plt::detail::_interpreter::kill();
return 0;
}
Step 3 : Link Matplotlib library with main program and Run
There are two ways you can link your libraries with your program. The first one is by using the g++ compiler and the other one is using the Cmake method.
Step 3.1 : G++
By using a G++ complier type this command in the shell:
$ g++ src/main.cpp -o result_plot -I /usr/include/python3.8 -I include/ -lpython3.8
The matplotlib depends on the python.h, numpy and libpython. So -I /usr/include/python3.8 is used to compiler where to look and link the python.h library to the main program and -lpython3.8 is used to link the libpython to your main program. After using this command an executable file is generated for your main program named result_plot which contains the ouput of your main program. To run this file type the following command in your terminal.
$ ./result_plot
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