I am using a code to plot a particular result in c++. The code uses "matplotlibcpp.h" header function in ubuntu. I had an error in using the header file. because "Python.h" header in this library is not found. So, I tried:
sudo apt-get install python3-dev
sudo apt-get install python2-dev
But, I found no change in the result. I tried to update the Json file of c++ (I am using vs code) and finally managed to compile the program without errors. I have included the paths to python and numpy like this in the 'c_cpp_properties.json' file,
"name": "Linux",
"includePath": [
"${workspaceFolder}/**",
"/usr/include/python2.7",
"/usr/local/lib/python3.10/dist-packages/numpy/core/include"
],
Now, it shows no 'problem'. But I am not getting the result. The terminal response is:
Executing task: C/C++: g++.exe build active file
Starting build...
C:\msys64\mingw64\bin\g++.exe -fdiagnostics-color=always -g "/home/abhiram/Documents/Project Masters/Program files/Frequency noise Measurement/Plots.cpp" -o "/home/abhiram/Documents/Project Masters/Program files/Frequency noise Measurement\Plots.exe"
/bin/sh: 1: C:msys64mingw64bing++.exe: not found
Build finished with error(s).
* The terminal process failed to launch (exit code: -1).
* Terminal will be reused by tasks, press any key to close it.
I have tried to install g++. but, it is also not working. And also,
g++ -o Plots "/home/abhiram/Documents/Project Masters/Program files/Frequency noise Measurement/Plots.cpp"
This shows, the output as:
In file included from /home/abhiram/Documents/Project Masters/Program files/Frequency noise Measurement/Plots.cpp:4:
/home/abhiram/Documents/Project Masters/Program files/Frequency noise Measurement/matplotlibcpp.h:5:10: fatal error: Python.h: No such file or directory
5 | #include <Python.h>
| ^~~~~~~~~~
compilation terminated.
I am letting you know my whole program also. Kindly drop your request if any other information is required to solve the issue.
#include <iostream>
#include <cmath>
#include <algorithm>
#include "matplotlibcpp.h"
using namespace std;
namespace plt = matplotlibcpp;
// Define sinc function
double sinc(double x) {
if (x == 0) {
return 1.0;
} else {
return sin(x) / x;
}
}
int main() {
// Generate data for the first plot
constexpr int n_points = 1000;
double frequencies[n_points];
double spectrum[n_points];
double bandwidth = 1 / (2 * M_PI * 1e-12 * 4700);
for (int i = 0; i < n_points; i++) {
frequencies[i] = i * 200e6 / (n_points - 1);
spectrum[i] = abs(sinc(frequencies[i] / bandwidth));
}
double max_spectrum = *max_element(spectrum, spectrum + n_points);
for (int i = 0; i < n_points; i++) {
spectrum[i] /= max_spectrum;
}
// Generate data for the second plot
constexpr int n_gains = 1000;
double gains[n_gains];
double noise_factor[n_gains];
for (int i = 0; i < n_gains; i++) {
gains[i] = -20 + i * 40 / (n_gains - 1);
double noise_figure = pow(10, gains[i] / 10);
noise_factor[i] = (noise_figure - 1) / noise_figure;
}
// Plot the first graph
plt::loglog(vector<double>(frequencies, frequencies + n_points), vector<double>(spectrum, spectrum + n_points));
plt::title("Frequency response of a bandpass filter");
plt::xlabel("Frequency (MHz)");
plt::ylabel("Normalized amplitude");
plt::grid(true);
plt::show();
// Close the first plot before displaying the second plot
plt::clf();
// Plot the second graph
plt::loglog(vector<double>(gains, gains + n_gains), vector<double>(noise_factor, noise_factor + n_gains));
plt::title("Noise factor as a function of gain");
plt::xlabel("Gain (dB)");
plt::ylabel("Noise factor");
plt::grid(true);
plt::show();
return 0;
}
