[hist] Add tutorial for weighted filling

tutorials/hist/histv7/hist001_RHist_basics.C

@@ -4,6 +4,7 @@
 /// Basics of RHist, including filling and adding them.
 ///
 /// \macro_code
+/// \macro_output
 ///
 /// \date September 2025
 /// \author The ROOT Team
@@ -17,7 +18,7 @@
 #include <random>
 #include <variant>
 
-// It is currently not possible to directly draw RHist's, so this function implements an output with ASCII characters.
+// It is currently not possible to directly draw an RHist, so this function implements an output with ASCII characters.
 static void DrawHistogram(const ROOT::Experimental::RHist<int> &hist)
 {
    // Get the axis object from the histogram.
@@ -56,9 +57,9 @@ static void DrawHistogram(const ROOT::Experimental::RHist<int> &hist)
 void hist001_RHist_basics()
 {
    // Create an axis that can be used for multiple histograms.
-   ROOT::Experimental::RRegularAxis axis(40, {0, 20});
+   ROOT::Experimental::RRegularAxis axis(40, {0.0, 20.0});
 
-   // Create a first histograms and fill with random values.
+   // Create a first histogram and fill with random values.
    ROOT::Experimental::RHist<int> hist1({axis});
 
    // Create a normal distribution with mean 5.0 and stddev 2.0.

tutorials/hist/histv7/hist002_RHist_weighted.C

@@ -0,0 +1,119 @@
+/// \file
+/// \ingroup tutorial_histv7
+///
+/// Weighted filling of RHist and RBinWithError bin content type.
+///
+/// \macro_code
+/// \macro_output
+///
+/// \date October 2025
+/// \author The ROOT Team
+
+#include <ROOT/RBinIndex.hxx>
+#include <ROOT/RBinWithError.hxx>
+#include <ROOT/RHist.hxx>
+#include <ROOT/RRegularAxis.hxx>
+#include <ROOT/RWeight.hxx>
+
+#include <cstddef>
+#include <iostream>
+#include <random>
+#include <variant>
+
+// It is currently not possible to directly draw an RHist, so this function implements an output with ASCII characters.
+static void DrawHistogram(const ROOT::Experimental::RHist<double> &hist)
+{
+   // Get the axis object from the histogram.
+   auto &axis = std::get<ROOT::Experimental::RRegularAxis>(hist.GetAxes()[0]);
+
+   // Print (some of) the global statistics.
+   std::cout << "entries = " << hist.GetNEntries();
+   std::cout << ", mean = " << hist.ComputeMean();
+   std::cout << ", stddev = " << hist.ComputeStdDev();
+   std::cout << "\n";
+
+   // "Draw" the histogram with ASCII characters. The height is hard-coded to work for this tutorial.
+   for (int row = 15; row > 0; row--) {
+      auto print = [&](ROOT::Experimental::RBinIndex bin) {
+         auto value = hist.GetBinContent(bin);
+         static constexpr int Scale = 100;
+         std::cout << (value >= (row * Scale) ? '*' : ' ');
+      };
+
+      // First the underflow bin, separated by a vertical bar.
+      print(ROOT::Experimental::RBinIndex::Underflow());
+      std::cout << '|';
+
+      // Now iterate the normal bins and print a '*' if the value is sufficiently large.
+      for (auto bin : axis.GetNormalRange()) {
+         print(bin);
+      }
+
+      // Finally the overflow bin after a separating vertical bar.
+      std::cout << '|';
+      print(ROOT::Experimental::RBinIndex::Overflow());
+      std::cout << "\n";
+   }
+}
+
+void hist002_RHist_weighted()
+{
+   // Create an axis that can be used for multiple histograms.
+   ROOT::Experimental::RRegularAxis axis(40, {0.0, 20.0});
+
+   // Create two histograms, one of which will be filled with weighted entries.
+   ROOT::Experimental::RHist<double> hist1({axis});
+   ROOT::Experimental::RHist<double> hist2({axis});
+
+   // Create a normal distribution with mean 10.0 and stddev 5.0.
+   std::mt19937 gen;
+   std::normal_distribution normal(10.0, 5.0);
+   for (std::size_t i = 0; i < 25000; i++) {
+      hist1.Fill(normal(gen));
+      double value = normal(gen);
+      double weight = 0.2 + 0.008 * value * value;
+      hist2.Fill(value, ROOT::Experimental::RWeight(weight));
+   }
+
+   // "Draw" the histograms with ASCII characters.
+   std::cout << "hist1 with expected mean = " << normal.mean() << "\n";
+   DrawHistogram(hist1);
+   std::cout << "\n";
+
+   std::cout << "hist2 with distorted normal distribution\n";
+   DrawHistogram(hist2);
+   std::cout << "\n";
+
+   // Create and fill a third histogram with the special RBinWithError bin content type.
+   // In addition to the sum of weights, it tracks the sum of weights squared to compute the bin errors.
+   ROOT::Experimental::RHist<ROOT::Experimental::RBinWithError> hist3({axis});
+   for (std::size_t i = 0; i < 25000; i++) {
+      double value = normal(gen);
+      double weight = 0.2 + 0.008 * value * value;
+      hist3.Fill(value, ROOT::Experimental::RWeight(weight));
+   }
+
+   // Visualize the computed bin errors with ASCII characters.
+   std::cout << "bin errors of hist3 (not to scale)\n";
+   for (int row = 15; row > 0; row--) {
+      auto print = [&](ROOT::Experimental::RBinIndex bin) {
+         auto error = std::sqrt(hist3.GetBinContent(bin).fSum2);
+         static constexpr int Scale = 5;
+         std::cout << (error >= (row * Scale) ? '*' : ' ');
+      };
+
+      // First the underflow bin, separated by a vertical bar.
+      print(ROOT::Experimental::RBinIndex::Underflow());
+      std::cout << '|';
+
+      // Now iterate the normal bins and print a '*' if the value is sufficiently large.
+      for (auto bin : axis.GetNormalRange()) {
+         print(bin);
+      }
+
+      // Finally the overflow bin after a separating vertical bar.
+      std::cout << '|';
+      print(ROOT::Experimental::RBinIndex::Overflow());
+      std::cout << "\n";
+   }
+}

tutorials/hist/histv7/index.md

@@ -1,8 +1,9 @@
-\defgroup tutorial_histv7 Histogram tutorials
+\defgroup tutorial_histv7 RHist tutorials
 \ingroup tutorial_hist
 
 Examples demonstrating ROOT's histogram package.
 
 | **Tutorial** | **Description** |
 |---|---|
 | hist001_RHist_basics.C | Basics of RHist, including filling and adding them. |
+| hist002_RHist_weighted.C | Weighted filling of RHist and RBinWithError bin content type. |