27 auto &axis = std::get<ROOT::Experimental::RRegularAxis>(hist.
GetAxes()[0]);
36 for (
int row = 15; row > 0; row--) {
39 static constexpr int Scale = 100;
40 std::cout << (
value >= (row * Scale) ?
'*' :
' ');
48 for (
auto bin : axis.GetNormalRange()) {
70 std::normal_distribution
normal(10.0, 5.0);
71 for (std::size_t i = 0; i < 25000; i++) {
79 std::cout <<
"hist1 with expected mean = " <<
normal.mean() <<
"\n";
83 std::cout <<
"hist2 with distorted normal distribution\n";
90 for (std::size_t i = 0; i < 25000; i++) {
97 std::cout <<
"bin errors of hist3 (not to scale)\n";
98 for (
int row = 15; row > 0; row--) {
100 auto error = std::sqrt(
hist3.GetBinContent(bin).fSum2);
101 static constexpr int Scale = 5;
102 std::cout << (error >= (row * Scale) ?
'*' :
' ');
110 for (
auto bin : axis.GetNormalRange()) {
ROOT::Detail::TRangeCast< T, true > TRangeDynCast
TRangeDynCast is an adapter class that allows the typed iteration through a TCollection.
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void value
A bin index with special values for underflow and overflow bins.
static RBinIndex Overflow()
static RBinIndex Underflow()
A histogram for aggregation of data along multiple dimensions.
double ComputeMean(std::size_t dim=0) const
Compute the arithmetic mean of unbinned values.
double ComputeStdDev(std::size_t dim=0) const
Compute the standard deviation of unbinned values.
const BinContentType & GetBinContent(const std::array< RBinIndex, N > &indices) const
Get the content of a single bin.
const std::vector< RAxisVariant > & GetAxes() const
std::uint64_t GetNEntries() const
A regular axis with equidistant bins in the interval .
A weight for filling histograms.