/usr/include/LWH/Histogram1D.h is in librivet-dev 1.8.3-1.1.
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#ifndef LWH_Histogram1D_H
#define LWH_Histogram1D_H
//
// This is the declaration of the Histogram1D class.
//
#include "AIHistogram1D.h"
#include "ManagedObject.h"
#include "Axis.h"
#include "VariAxis.h"
#include <vector>
#include <stdexcept>
#include <iostream>
#ifdef HAVE_ROOT
#include "TH1D.h"
#endif
namespace LWH {
using namespace AIDA;
/**
* User level interface to 1D Histogram.
*/
class Histogram1D: public IHistogram1D, public ManagedObject {
public:
/** HistFactory is a friend. */
friend class HistogramFactory;
public:
/**
* Standard constructor.
*/
Histogram1D(int n, double lo, double up)
: fax(new Axis(n, lo, up)), vax(0),
sum(n + 2), sumw(n + 2), sumw2(n + 2), sumxw(n + 2), sumx2w(n + 2) {
ax = fax;
}
/**
* Standard constructor for variable bin width.
*/
Histogram1D(const std::vector<double> & edges)
: fax(0), vax(new VariAxis(edges)),
sum(edges.size() + 1), sumw(edges.size() + 1), sumw2(edges.size() + 1),
sumxw(edges.size() + 1), sumx2w(edges.size() + 1) {
ax = vax;
}
/**
* Copy constructor.
*/
Histogram1D(const Histogram1D & h)
: IBaseHistogram(h), IHistogram(h), IHistogram1D(h), ManagedObject(h),
fax(0), vax(0), sum(h.sum), sumw(h.sumw), sumw2(h.sumw2),
sumxw(h.sumxw), sumx2w(h.sumx2w) {
const VariAxis * hvax = dynamic_cast<const VariAxis *>(h.ax);
if ( hvax ) ax = vax = new VariAxis(*hvax);
else ax = fax = new Axis(dynamic_cast<const Axis &>(*h.ax));
}
/// Destructor.
virtual ~Histogram1D() {
delete ax;
}
/**
* Get the Histogram's title.
* @return The Histogram's title.
*/
// std::string title() const {
// return theTitle;
// }
/**
* Get the Histogram's name.
* @return The Histogram's name
*/
std::string name() const {
return title();
}
/**
* Set the histogram title.
* @param title The title.
* @return false If title cannot be changed.
*/
// bool setTitle(const std::string & title) {
// theTitle = title;
// return true;
// }
/**
* Not implemented in LWH. will throw an exception.
*/
IAnnotation & annotation() {
throw std::runtime_error("LWH cannot handle annotations");
return *anno;
}
/**
* Not implemented in LWH. will throw an exception.
*/
const IAnnotation & annotation() const {
throw std::runtime_error("LWH cannot handle annotations");
return *anno;
}
/**
* Get the Histogram's dimension.
* @return The Histogram's dimension.
*/
int dimension() const {
return 1;
}
/**
* Reset the Histogram; as if just created.
* @return false If something goes wrong.
*/
bool reset() {
sum = std::vector<int>(ax->bins() + 2);
sumw = std::vector<double>(ax->bins() + 2);
sumxw = std::vector<double>(ax->bins() + 2);
sumx2w = std::vector<double>(ax->bins() + 2);
sumw2 = std::vector<double>(ax->bins() + 2);
return true;
}
/**
* Get the number of in-range entries in the Histogram.
* @return The number of in-range entries.
*
*/
int entries() const {
int si = 0;
for ( int i = 2; i < ax->bins() + 2; ++i ) si += sum[i];
return si;
}
/**
* Sum of the entries in all the IHistogram's bins,
* i.e in-range bins, UNDERFLOW and OVERFLOW.
* This is equivalent to the number of times the
* method fill was invoked.
* @return The sum of all the entries.
*/
int allEntries() const {
return entries() + extraEntries();
}
/**
* Number of entries in the UNDERFLOW and OVERFLOW bins.
* @return The number of entries outside the range of the IHistogram.
*/
int extraEntries() const {
return sum[0] + sum[1];
}
/**
* Number of equivalent entries,
* i.e. <tt>SUM[ weight ] ^ 2 / SUM[ weight^2 ]</tt>
* @return The number of equivalent entries.
*/
double equivalentBinEntries() const {
double sw = 0.0;
double sw2 = 0.0;
for ( int i = 2; i < ax->bins() + 2; ++i ) {
sw += sumw[i];
sw2 += sumw2[i];
}
return (sw*sw)/sw2;
}
/**
* Sum of in-range bin heights in the IHistogram,
* UNDERFLOW and OVERFLOW bins are excluded.
* @return The sum of the in-range bins heights.
*
*/
double sumBinHeights() const {
double sw = 0.0;
for ( int i = 2; i < ax->bins() + 2; ++i ) sw += sumw[i];
return sw;
}
/**
* Sum of the heights of all the IHistogram's bins,
* i.e in-range bins, UNDERFLOW and OVERFLOW.
* @return The sum of all the bins heights.
*/
double sumAllBinHeights() const {
return sumBinHeights() + sumExtraBinHeights();
}
/**
* Sum of heights in the UNDERFLOW and OVERFLOW bins.
* @return The sum of the heights of the out-of-range bins.
*/
double sumExtraBinHeights() const {
return sumw[0] + sumw[1];
}
/**
* Minimum height of the in-range bins,
* i.e. not considering the UNDERFLOW and OVERFLOW bins.
* @return The minimum height among the in-range bins.
*/
double minBinHeight() const {
double minw = sumw[2];
for ( int i = 3; i < ax->bins() + 2; ++i ) minw = std::min(minw, sumw[i]);
return minw;
}
/**
* Maximum height of the in-range bins,
* i.e. not considering the UNDERFLOW and OVERFLOW bins.
* @return The maximum height among the in-range bins.
*/
double maxBinHeight() const{
double maxw = sumw[2];
for ( int i = 3; i < ax->bins() + 2; ++i ) maxw = std::max(maxw, sumw[i]);
return maxw;
}
/**
* Fill the IHistogram1D with a value and the
* corresponding weight.
* @param x The value to be filled in.
* @param weight The corresponding weight (by default 1).
* @return false If the weight is <0 or >1 (?).
*/
bool fill(double x, double weight = 1.) {
int i = ax->coordToIndex(x) + 2;
++sum[i];
sumw[i] += weight;
sumxw[i] += x*weight;
sumx2w[i] += x*x*weight;
sumw2[i] += weight*weight;
return weight >= 0 && weight <= 1;
}
/**
* The weighted mean of a bin.
* @param index The bin number (0...N-1) or OVERFLOW or UNDERFLOW.
* @return The mean of the corresponding bin.
*/
double binMean(int index) const {
int i = index + 2;
return sumw[i] != 0.0? sumxw[i]/sumw[i]:
( vax? vax->binMidPoint(index): fax->binMidPoint(index) );
};
/**
* The weighted RMS of a bin.
* @param index The bin number (0...N-1) or OVERFLOW or UNDERFLOW.
* @return The RMS of the corresponding bin.
*/
double binRms(int index) const {
int i = index + 2;
return sumw[i] == 0.0 || sum[i] < 2? ax->binWidth(index):
std::sqrt(std::max(sumw[i]*sumx2w[i] - sumxw[i]*sumxw[i], 0.0))/sumw[i];
};
/**
* Number of entries in the corresponding bin (ie the number of
* times fill was called for this bin).
* @param index The bin number (0...N-1) or OVERFLOW or UNDERFLOW.
* @return The number of entries in the corresponding bin.
*/
int binEntries(int index) const {
return sum[index + 2];
}
/**
* Total height of the corresponding bin (ie the sum of the weights
* in this bin).
* @param index The bin number (0...N-1) or OVERFLOW or UNDERFLOW.
* @return The height of the corresponding bin.
*/
double binHeight(int index) const {
/// @todo While this is compatible with the reference AIDA implementation, it is not the bin height!
return sumw[index + 2];
}
/**
* The error of a given bin.
* @param index The bin number (0...N-1) or OVERFLOW or UNDERFLOW.
* @return The error on the corresponding bin.
*
*/
double binError(int index) const {
return std::sqrt(sumw2[index + 2]);
}
/**
* The mean of the whole IHistogram1D.
* @return The mean of the IHistogram1D.
*/
double mean() const {
double s = 0.0;
double sx = 0.0;
for ( int i = 2; i < ax->bins() + 2; ++i ) {
s += sumw[i];
sx += sumxw[i];
}
return s != 0.0? sx/s: 0.0;
}
/**
* The RMS of the whole IHistogram1D.
* @return The RMS if the IHistogram1D.
*/
double rms() const {
double s = 0.0;
double sx = 0.0;
double sx2 = 0.0;
for ( int i = 2; i < ax->bins() + 2; ++i ) {
s += sumw[i];
sx += sumxw[i];
sx2 += sumx2w[i];
}
return s != 0.0? std::sqrt(std::max(s*sx2 - sx*sx, 0.0))/s:
ax->upperEdge() - ax->lowerEdge();
}
/** The weights. */
double getSumW(int index) const {
return sumw[index + 2];
}
/** The squared weights. */
double getSumW2(int index) const {
return sumw2[index + 2];
}
/** The weighted x-values. */
double getSumXW(int index) const {
return sumxw[index + 2];
}
/** The weighted x-square-values. */
double getSumX2W(int index) const {
return sumx2w[index + 2];
}
/**
* Get the x axis of the IHistogram1D.
* @return The x coordinate IAxis.
*/
const IAxis & axis() const {
return *ax;
}
/**
* Get the bin number corresponding to a given coordinate along the
* x axis. This is a convenience method, equivalent to
* <tt>axis().coordToIndex(coord)</tt>.
* @param coord The coordinalte along the x axis.
* @return The corresponding bin number.
*/
int coordToIndex(double coord) const {
return ax->coordToIndex(coord);
}
/**
* Add to this Histogram1D the contents of another IHistogram1D.
* @param h The Histogram1D to be added to this IHistogram1D.
* @return false If the IHistogram1Ds binnings are incompatible.
*/
bool add(const Histogram1D & h) {
if ( ax->upperEdge() != h.ax->upperEdge() ||
ax->lowerEdge() != h.ax->lowerEdge() ||
ax->bins() != h.ax->bins() ) return false;
for ( int i = 0; i < ax->bins() + 2; ++i ) {
sum[i] += h.sum[i];
sumw[i] += h.sumw[i];
sumxw[i] += h.sumxw[i];
sumx2w[i] += h.sumx2w[i];
sumw2[i] += h.sumw2[i];
}
return true;
}
/**
* Add to this IHistogram1D the contents of another IHistogram1D.
* @param hist The IHistogram1D to be added to this IHistogram1D.
* @return false If the IHistogram1Ds binnings are incompatible.
*/
bool add(const IHistogram1D & hist) {
return add(dynamic_cast<const Histogram1D &>(hist));
}
/**
* Scale the contents of this histogram with the given factor.
* @param s the scaling factor to use.
*/
bool scale(double s) {
for ( int i = 0; i < ax->bins() + 2; ++i ) {
sumw[i] *= s;
sumxw[i] *= s;
sumx2w[i] *= s;
sumw2[i] *= s*s;
}
return true;
}
/**
* Scale the given histogram so that the integral over all bins
* (including overflow) gives \a intg. This function also corrects
* for the bin-widths, which means that it should only be run once
* for each histogram. Further rescaling must be done with the
* scale(double) function.
*/
void normalize(double intg) {
double oldintg = sumAllBinHeights();
if ( oldintg == 0.0 ) return;
for ( int i = 0; i < ax->bins() + 2; ++i ) {
double fac = intg/oldintg;
if ( i >= 2 ) fac /= (ax->binUpperEdge(i - 2) - ax->binLowerEdge(i - 2));
sumw[i] *= fac;
sumxw[i] *= fac;
sumx2w[i] *= fac;
sumw2[i] *= fac*fac;
}
}
/**
* Return the integral over the histogram bins assuming it has been
* normalize()d.
*/
// double integral() const {
// double intg = sumw[0] + sumw[1];
// for ( int i = 2; i < ax->bins() + 2; ++i )
// is this right? Leave out bin width factor?
// intg += sumw[i]*(ax->binUpperEdge(i - 2) - ax->binLowerEdge(i - 2));
// return intg;
// }
/**
* Not implemented in LWH.
* @return null pointer always.
*/
void * cast(const std::string &) const {
return 0;
}
/**
* Write out the histogram in the AIDA xml format.
*/
bool writeXML(std::ostream & os, std::string path, std::string name) {
//std::cout << "Writing out histogram " << name << " in AIDA file format!" << std::endl;
os << " <histogram1d name=\"" << encodeForXML(name)
<< "\"\n title=\"" << encodeForXML(title())
<< "\" path=\"" << path
<< "\">\n <axis max=\"" << ax->upperEdge()
<< "\" numberOfBins=\"" << ax->bins()
<< "\" min=\"" << ax->lowerEdge()
<< "\" direction=\"x\"";
if ( vax ) {
os << ">\n";
for ( int i = 0, N = ax->bins() - 1; i < N; ++i )
os << " <binBorder value=\"" << ax->binUpperEdge(i) << "\"/>\n";
os << " </axis>\n";
} else {
os << "/>\n";
}
os << " <statistics entries=\"" << entries()
<< "\">\n <statistic mean=\"" << mean()
<< "\" direction=\"x\"\n rms=\"" << rms()
<< "\"/>\n </statistics>\n <data1d>\n";
for ( int i = 0; i < ax->bins() + 2; ++i ) if ( sum[i] ) {
os << " <bin1d binNum=\"";
if ( i == 0 ) os << "UNDERFLOW";
else if ( i == 1 ) os << "OVERFLOW";
else os << i - 2;
os << "\" entries=\"" << sum[i]
<< "\" height=\"" << sumw[i]
<< "\"\n error=\"" << std::sqrt(sumw2[i])
<< "\" error2=\"" << sumw2[i]
<< "\"\n weightedMean=\"" << binMean(i - 2)
<< "\" weightedRms=\"" << binRms(i - 2)
<< "\"/>\n";
}
os << " </data1d>\n </histogram1d>" << std::endl;
return true;
}
/**
* Write out the histogram in a flat text file suitable for
* eg. gnuplot to read. The coloums are layed out as 'x w w2 n'.
*/
bool writeFLAT(std::ostream & os, std::string path, std::string name) {
os << "# " << path << "/" << name << " " << ax->lowerEdge()
<< " " << ax->bins() << " " << ax->upperEdge()
<< " \"" << title() << " \"" << std::endl;
for ( int i = 2; i < ax->bins() + 2; ++i )
os << binMean(i - 2) << " "
<< sumw[i] << " " << sqrt(sumw2[i]) << " " << sum[i] << std::endl;
os << std::endl;
return true;
}
#ifdef HAVE_ROOT
/**
* Write out the histogram in Root file format.
*/
//bool writeROOT(std::ostream & os, std::string path, std::string name) {
bool writeROOT(TFile* file, std::string path, std::string name) {
//std::cout << "Writing out histogram " << name.c_str() << " in ROOT file format" << std::endl;
TH1D* hist1d;
int nbins;
if (!vax || vax->isFixedBinning() ) {//equidistant binning (easier case)
nbins = ax->bins();
hist1d = new TH1D(name.c_str(), title().c_str(), nbins, ax->lowerEdge(), ax->upperEdge());
}
else {
nbins = vax->bins();
double* bins = new double[nbins+1];
for (int i=0; i<nbins; ++i) {
bins[i] = vax->binEdges(i).first;
}
bins[nbins] = vax->binEdges(nbins-1).second; //take last bin right border
hist1d = new TH1D(name.c_str(), title().c_str(), nbins, bins);
delete bins;
}
double entries = 0;
for ( int i = 0; i < nbins + 2; ++i ) {
if ( sum[i] ) {
//i==0: underflow->RootBin(0), i==1: overflow->RootBin(NBins+1)
entries = entries + sum[i];
int j=i;
if (i==0) j=0; //underflow
else if (i==1) j=nbins+1; //overflow
if (i>=2) j=i-1; //normal bin entries
hist1d->SetBinContent(j, sumw[i]);
hist1d->SetBinError(j, sqrt(sumw2[i]));
//hist1d->Fill(binMean(i), sumw[i]);
}
}
hist1d->Sumw2();
hist1d->SetEntries(entries);
std::string DirName; //remove preceding slash from directory name, else ROOT error
for (unsigned int i=1; i<path.size(); ++i) DirName += path[i];
if (!file->Get(DirName.c_str())) file->mkdir(DirName.c_str());
file->cd(DirName.c_str());
hist1d->Write();
delete hist1d;
return true;
}
#endif
private:
/** The title */
// std::string theTitle;
/** The axis. */
IAxis * ax;
/** Pointer (possibly null) to a axis with fixed bin width. */
Axis * fax;
/** Pointer (possibly null) to a axis with fixed bin width. */
VariAxis * vax;
/** The counts. */
std::vector<int> sum;
/** The weights. */
std::vector<double> sumw;
/** The squared weights. */
std::vector<double> sumw2;
/** The weighted x-values. */
std::vector<double> sumxw;
/** The weighted x-square-values. */
std::vector<double> sumx2w;
/** dummy pointer to non-existen annotation. */
IAnnotation * anno;
};
}
#endif /* LWH_Histogram1D_H */
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