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‎examples/.gitignore

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animation
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bar
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basic
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fill
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fill_inbetween
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imshow
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minimal
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modern
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nonblock
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quiver
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subplot
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surface
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update
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xkcd

‎examples/animation.cpp

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#define _USE_MATH_DEFINES
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#include <cmath>
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#include "../matplotlibcpp.h"
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namespace plt = matplotlibcpp;
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int main()
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{
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int n = 1000;
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std::vector<double> x, y, z;
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for(int i=0; i<n; i++) {
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x.push_back(i*i);
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y.push_back(sin(2*M_PI*i/360.0));
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z.push_back(log(i));
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if (i % 10 == 0) {
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// Clear previous plot
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plt::clf();
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// Plot line from given x and y data. Color is selected automatically.
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plt::plot(x, y);
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// Plot a line whose name will show up as "log(x)" in the legend.
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plt::named_plot("log(x)", x, z);
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// Set x-axis to interval [0,1000000]
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plt::xlim(0, n*n);
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// Add graph title
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plt::title("Sample figure");
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// Enable legend.
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plt::legend();
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// Display plot continuously
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plt::pause(0.01);
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}
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}
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}

‎examples/animation.gif

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‎examples/bar.cpp

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#define _USE_MATH_DEFINES
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#include <iostream>
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#include <string>
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#include "../matplotlibcpp.h"
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namespace plt = matplotlibcpp;
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int main(int argc, char **argv) {
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std::vector<int> test_data;
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for (int i = 0; i < 20; i++) {
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test_data.push_back(i);
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}
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plt::bar(test_data);
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plt::show();
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return (0);
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}

‎examples/bar.png

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‎examples/basic.cpp

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#define _USE_MATH_DEFINES
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#include <iostream>
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#include <cmath>
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#include "../matplotlibcpp.h"
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namespace plt = matplotlibcpp;
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int main()
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{
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// Prepare data.
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int n = 5000;
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std::vector<double> x(n), y(n), z(n), w(n,2);
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for(int i=0; i<n; ++i) {
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x.at(i) = i*i;
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y.at(i) = sin(2*M_PI*i/360.0);
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z.at(i) = log(i);
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}
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// Set the size of output image = 1200x780 pixels
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plt::figure_size(1200, 780);
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// Plot line from given x and y data. Color is selected automatically.
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plt::plot(x, y);
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// Plot a red dashed line from given x and y data.
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plt::plot(x, w,"r--");
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// Plot a line whose name will show up as "log(x)" in the legend.
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plt::named_plot("log(x)", x, z);
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// Set x-axis to interval [0,1000000]
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plt::xlim(0, 1000*1000);
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// Add graph title
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plt::title("Sample figure");
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// Enable legend.
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plt::legend();
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// save figure
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const char* filename = "./basic.png";
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std::cout << "Saving result to " << filename << std::endl;;
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plt::save(filename);
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}

‎examples/basic.png

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‎examples/colorbar.cpp

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#define _USE_MATH_DEFINES
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#include <cmath>
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#include <iostream>
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#include "../matplotlibcpp.h"
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using namespace std;
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namespace plt = matplotlibcpp;
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int main()
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{
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// Prepare data
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int ncols = 500, nrows = 300;
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std::vector<float> z(ncols * nrows);
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for (int j=0; j<nrows; ++j) {
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for (int i=0; i<ncols; ++i) {
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z.at(ncols * j + i) = std::sin(std::hypot(i - ncols/2, j - nrows/2));
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}
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}
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const float* zptr = &(z[0]);
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const int colors = 1;
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plt::title("My matrix");
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PyObject* mat;
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plt::imshow(zptr, nrows, ncols, colors, {}, &mat);
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plt::colorbar(mat);
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// Show plots
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plt::show();
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plt::close();
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Py_DECREF(mat);
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}

‎examples/contour.cpp

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#include "../matplotlibcpp.h"
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#include <cmath>
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namespace plt = matplotlibcpp;
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int main()
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{
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std::vector<std::vector<double>> x, y, z;
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for (double i = -5; i <= 5; i += 0.25) {
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std::vector<double> x_row, y_row, z_row;
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for (double j = -5; j <= 5; j += 0.25) {
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x_row.push_back(i);
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y_row.push_back(j);
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z_row.push_back(::std::sin(::std::hypot(i, j)));
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}
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x.push_back(x_row);
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y.push_back(y_row);
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z.push_back(z_row);
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}
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plt::contour(x, y, z);
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plt::show();
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}

‎examples/fill.cpp

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#define _USE_MATH_DEFINES
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#include "../matplotlibcpp.h"
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#include <cmath>
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using namespace std;
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namespace plt = matplotlibcpp;
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// Example fill plot taken from:
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// https://matplotlib.org/gallery/misc/fill_spiral.html
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int main() {
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// Prepare data.
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vector<double> theta;
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for (double d = 0; d < 8 * M_PI; d += 0.1)
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theta.push_back(d);
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const int a = 1;
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const double b = 0.2;
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for (double dt = 0; dt < 2 * M_PI; dt += M_PI/2.0) {
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vector<double> x1, y1, x2, y2;
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for (double th : theta) {
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x1.push_back( a*cos(th + dt) * exp(b*th) );
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y1.push_back( a*sin(th + dt) * exp(b*th) );
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x2.push_back( a*cos(th + dt + M_PI/4.0) * exp(b*th) );
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y2.push_back( a*sin(th + dt + M_PI/4.0) * exp(b*th) );
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}
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x1.insert(x1.end(), x2.rbegin(), x2.rend());
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y1.insert(y1.end(), y2.rbegin(), y2.rend());
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plt::fill(x1, y1, {});
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}
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plt::show();
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}

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