added seaborn distplot example

Author: muralivnv

examples/for_seaborn/distplot.cpp

@@ -0,0 +1,61 @@
+#include "../../include/cppyplot.hpp"
+
+#include <vector>
+#include <random>
+#include <numeric>
+
+#include <Eigen/Eigen/Core>
+
+/*
+* Uncomment seaborn imports in cppyplot_server.py for this example to work
+*/
+
+int main()
+{
+  Eigen::Matrix<double, 1000, 1> mat;
+  mat.setRandom();
+
+  Cppyplot::cppyplot pyp;
+
+  pyp.raw(R"pyp(
+    fig = plt.figure(figsize=(6,5))
+    ax = sns.distplot(mat, kde=False,
+                      hist_kws={"histtype": "bar", "rwidth": 3,
+                                "alpha": 0.6, "color": "b"})
+    sns.distplot(mat, kde=False,
+                 hist_kws={"histtype": "step", "rwidth": 2,
+                           "alpha": 0.9, "color": "orange"})
+    ax.set_xlabel("Data bins", fontsize=12)
+    ax.set_ylabel("Frequency", fontsize=12)
+    ax.set_title("Histogram of C++ Eigen container", fontsize=14)
+    plt.show()
+  )pyp");
+  pyp.data_args(_p(mat));
+
+  // bivariate plot from https://seaborn.pydata.org/examples/layered_bivariate_plot.html
+
+  std::vector<std::vector<double>> rand_mat (1000, std::vector<double>(2));
+  std::random_device seed;
+  std::mt19937 gen(seed());
+  std::normal_distribution<double> norm(0.0, 10.0);
+
+  // fill matrix
+  for (auto& row: rand_mat)
+  {
+    for (auto& elem: row)
+    { elem = norm(gen); }
+  }
+
+  pyp.raw(R"pyp(
+  sns.set_theme(style="dark")
+  f, ax = plt.subplots(figsize=(6,6))
+  sns.scatterplot(x=rand_mat[:,0], y=rand_mat[:,1], s=5, color="0.15")
+  sns.histplot(x=rand_mat[:,0], y=rand_mat[:,1], bins=50, pthresh=0.1, cmap="mako")
+  sns.kdeplot(x=rand_mat[:,0], y=rand_mat[:,1], levels=5, color="w", linewidths=1)
+  plt.show()
+    )pyp");
+  
+  pyp.data_args(_p(rand_mat));
+
+  return EXIT_SUCCESS;
+}