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| 1 | +/// \file |
| 2 | +/// \ingroup tutorial_histv7 |
| 3 | +/// |
| 4 | +/// Weighted filling of RHist and RBinWithError bin content type. |
| 5 | +/// |
| 6 | +/// \macro_code |
| 7 | +/// |
| 8 | +/// \date October 2025 |
| 9 | +/// \author The ROOT Team |
| 10 | + |
| 11 | +#include <ROOT/RBinIndex.hxx> |
| 12 | +#include <ROOT/RBinWithError.hxx> |
| 13 | +#include <ROOT/RHist.hxx> |
| 14 | +#include <ROOT/RRegularAxis.hxx> |
| 15 | +#include <ROOT/RWeight.hxx> |
| 16 | + |
| 17 | +#include <cstddef> |
| 18 | +#include <iostream> |
| 19 | +#include <random> |
| 20 | +#include <variant> |
| 21 | + |
| 22 | +// It is currently not possible to directly draw RHist's, so this function implements an output with ASCII characters. |
| 23 | +static void DrawHistogram(const ROOT::Experimental::RHist<double> &hist) |
| 24 | +{ |
| 25 | + // Get the axis object from the histogram. |
| 26 | + auto &axis = std::get<ROOT::Experimental::RRegularAxis>(hist.GetAxes()[0]); |
| 27 | + |
| 28 | + // Print (some of) the global statistics. |
| 29 | + std::cout << "entries = " << hist.GetNEntries(); |
| 30 | + std::cout << ", mean = " << hist.ComputeMean(); |
| 31 | + std::cout << ", stddev = " << hist.ComputeStdDev(); |
| 32 | + std::cout << "\n"; |
| 33 | + |
| 34 | + // "Draw" the histogram with ASCII characters. The height is hard-coded to work for this tutorial. |
| 35 | + for (int row = 15; row > 0; row--) { |
| 36 | + auto print = [&](ROOT::Experimental::RBinIndex bin) { |
| 37 | + auto value = hist.GetBinContent(bin); |
| 38 | + static constexpr int Scale = 100; |
| 39 | + std::cout << (value >= (row * Scale) ? '*' : ' '); |
| 40 | + }; |
| 41 | + |
| 42 | + // First the underflow bin, separated by a vertical bar. |
| 43 | + print(ROOT::Experimental::RBinIndex::Underflow()); |
| 44 | + std::cout << '|'; |
| 45 | + |
| 46 | + // Now iterate the normal bins and print a '*' if the value is sufficiently large. |
| 47 | + for (auto bin : axis.GetNormalRange()) { |
| 48 | + print(bin); |
| 49 | + } |
| 50 | + |
| 51 | + // Finally the overflow bin after a separating vertical bar. |
| 52 | + std::cout << '|'; |
| 53 | + print(ROOT::Experimental::RBinIndex::Overflow()); |
| 54 | + std::cout << "\n"; |
| 55 | + } |
| 56 | +} |
| 57 | + |
| 58 | +void hist002_RHist_weighted() |
| 59 | +{ |
| 60 | + // Create an axis that can be used for multiple histograms. |
| 61 | + ROOT::Experimental::RRegularAxis axis(40, {0, 20}); |
| 62 | + |
| 63 | + // Create two histograms, one of which will be filled with weighted entries. |
| 64 | + ROOT::Experimental::RHist<double> hist1({axis}); |
| 65 | + ROOT::Experimental::RHist<double> hist2({axis}); |
| 66 | + |
| 67 | + // Create a normal distribution with mean 10.0 and stddev 5.0. |
| 68 | + std::mt19937 gen; |
| 69 | + std::normal_distribution normal(10.0, 5.0); |
| 70 | + for (std::size_t i = 0; i < 25000; i++) { |
| 71 | + hist1.Fill(normal(gen)); |
| 72 | + double value = normal(gen); |
| 73 | + double weight = 0.2 + 0.008 * value * value; |
| 74 | + hist2.Fill(value, ROOT::Experimental::RWeight(weight)); |
| 75 | + } |
| 76 | + |
| 77 | + // "Draw" the histograms with ASCII characters. |
| 78 | + std::cout << "hist1 with expected mean = " << normal.mean() << "\n"; |
| 79 | + DrawHistogram(hist1); |
| 80 | + std::cout << "\n"; |
| 81 | + |
| 82 | + std::cout << "hist2 with distorted normal distribution\n"; |
| 83 | + DrawHistogram(hist2); |
| 84 | + std::cout << "\n"; |
| 85 | + |
| 86 | + // Create and fill a third histogram with the special RBinWithError bin content type. |
| 87 | + ROOT::Experimental::RHist<ROOT::Experimental::RBinWithError> hist3({axis}); |
| 88 | + for (std::size_t i = 0; i < 25000; i++) { |
| 89 | + double value = normal(gen); |
| 90 | + double weight = 0.2 + 0.008 * value * value; |
| 91 | + hist3.Fill(value, ROOT::Experimental::RWeight(weight)); |
| 92 | + } |
| 93 | + |
| 94 | + // This allows to compute the bin errors, visualized with ASCII characters. |
| 95 | + std::cout << "bin errors of hist3 (not to scale)\n"; |
| 96 | + for (int row = 15; row > 0; row--) { |
| 97 | + auto print = [&](ROOT::Experimental::RBinIndex bin) { |
| 98 | + auto error = std::sqrt(hist3.GetBinContent(bin).fSum2); |
| 99 | + static constexpr int Scale = 5; |
| 100 | + std::cout << (error >= (row * Scale) ? '*' : ' '); |
| 101 | + }; |
| 102 | + |
| 103 | + // First the underflow bin, separated by a vertical bar. |
| 104 | + print(ROOT::Experimental::RBinIndex::Underflow()); |
| 105 | + std::cout << '|'; |
| 106 | + |
| 107 | + // Now iterate the normal bins and print a '*' if the value is sufficiently large. |
| 108 | + for (auto bin : axis.GetNormalRange()) { |
| 109 | + print(bin); |
| 110 | + } |
| 111 | + |
| 112 | + // Finally the overflow bin after a separating vertical bar. |
| 113 | + std::cout << '|'; |
| 114 | + print(ROOT::Experimental::RBinIndex::Overflow()); |
| 115 | + std::cout << "\n"; |
| 116 | + } |
| 117 | +} |
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