Histo2DFunction.cc
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/*
* Histo2DFunction.cc
*
* Created on: Feb 01, 2023
* Author: AKKODIS
*/
#include "Histo2DFunction.hh"
#include <map>
#include <cmath>
#include <numeric>
#include <algorithm>
namespace plot {
// Basically transforms the data to a matrix by keeping all the values needed later
std::map<int,std::vector<double>> Histo2DFunction::getMatrixValues(double* xData, double* yData, double* zData, int nbData,
Range xRange, Range yRange, int xBinNumber,int yBinNumber)
{
std::map<int,std::vector<double>> allValues;
double xMin = xRange.getMin();
double yMin = yRange.getMin();
double xMax = xRange.getMax();
double yMax = yRange.getMax();
double xBinSize = (xMax - xMin)/xBinNumber;
double yBinSize = (yMax - yMin)/yBinNumber;
for (int i(0); i< nbData; ++i){
if (xData[i] < xMin || yData[i] < yMin || xData[i] >= xMax || yData[i] >= yMax || std::isnan(xData[i]) || std::isnan(yData[i]) || std::isnan(zData[i]) || std::isnan(zData[i]))
continue;
int xIndex = (xData[i]- xMin)/xBinSize;
int yIndex = (yData[i]- yMin)/yBinSize;
int index = xIndex*yBinNumber+yIndex;
allValues[index].push_back(zData[i]);
}
return allValues;
}
// Function that apply smooth, independing on the applied function
void Histo2DFunction::applySmooth(MatrixGrid &matrixGrid, int smoothFactor, int columnSize )
{
GridPart newGrid;
MatrixGrid newMatrix;
int matrixSize = matrixGrid.size();
for(int i(0); i< matrixSize; ++i ){
newGrid = matrixGrid[i];
newGrid.value = 0;
int compteur = 0;
for(int j=-smoothFactor+1; j < smoothFactor; j++ ){
if(i+j*columnSize < 0 || i+j*columnSize > matrixSize)
continue;
int columnRef = (i+j*columnSize) / columnSize;
for (int k=-smoothFactor+1; k < smoothFactor; k++ )
{
int currentIndex = i+j*columnSize+k;
int column = currentIndex/columnSize;
if(column != columnRef || currentIndex < 0 || currentIndex >= matrixSize)
continue;
if(!isnan(matrixGrid[currentIndex].value )){
newGrid.value += matrixGrid[currentIndex].value ;
compteur++;
}
}
}
newGrid.value /= compteur;
newMatrix.push_back(newGrid);
}
matrixGrid = newMatrix;
}
// Density function for 2DHistogram
void Density2DFunction::apply(MatrixGrid &matrixGrid, double* xData, double* yData, double* /*zData*/, int nbData, Range xRange, Range yRange,
int xBinNumber,int yBinNumber, double& zMin, double& zMax, int smoothFactor)
{
zMin = 0;
zMax = 0;
std::map<int,std::vector<double>> allValues;
allValues = getMatrixValues(xData,yData,yData,nbData,xRange,yRange,xBinNumber,yBinNumber);
for (unsigned int i(0); i < matrixGrid.size(); ++i){
if (allValues[i].size() > 0)
matrixGrid[i].value=allValues[i].size();
if(zMax < matrixGrid[i].value)
zMax = matrixGrid[i].value;
}
if(smoothFactor > 1)
applySmooth(matrixGrid,smoothFactor,yBinNumber);
}
// Normalized density function for 2DHistogram
void NormDensity2DFunction::apply(MatrixGrid &matrixGrid, double* xData, double* yData, double* /*zData*/, int nbData, Range xRange, Range yRange,
int xBinNumber,int yBinNumber, double& zMin, double& zMax, int smoothFactor)
{
zMin = 0;
zMax = 0;
std::map<int,std::vector<double>> allValues;
allValues = getMatrixValues(xData,yData,yData,nbData,xRange,yRange,xBinNumber,yBinNumber);
int nbRecord = 0;
for(unsigned int i(0); i < allValues.size();++i){
nbRecord += allValues[i].size();
}
for (unsigned int i(0); i < matrixGrid.size(); ++i){
if (allValues[i].size() > 0)
matrixGrid[i].value=1.*allValues[i].size()/nbRecord;
if(zMax < matrixGrid[i].value)
zMax = matrixGrid[i].value;
}
if(smoothFactor > 1)
applySmooth(matrixGrid,smoothFactor,yBinNumber);
}
// Mean function for 2DHistogram (for each bin)
void Mean2DFunction::apply(MatrixGrid &matrixGrid, double* xData, double* yData, double* zData, int nbData, Range xRange, Range yRange,
int xBinNumber,int yBinNumber, double& zMin, double& zMax,int smoothFactor){
zMin = 0;
zMax = 0;
std::map<int,std::vector<double>> allValues;
allValues = getMatrixValues(xData,yData,zData,nbData,xRange,yRange,xBinNumber,yBinNumber);
for (unsigned int i(0); i < matrixGrid.size(); ++i){
double mean = NAN;
if (!allValues[i].empty()) {
int nb = 0;
for (std::vector<double>::iterator it = allValues[i].begin(); it != allValues[i].end(); ++it){
if (std::isfinite(*it) && !std::isnan(*it)) {
if (std::isnan(mean)) {
mean = 0;
}
mean += *it;
nb++;
}
}
if (nb > 0) {
mean /= nb;
}
}
matrixGrid[i].value = mean;
if(zMax < matrixGrid[i].value)
zMax = matrixGrid[i].value;
if(zMin > matrixGrid[i].value)
zMin = matrixGrid[i].value;
}
if(smoothFactor > 1)
applySmooth(matrixGrid,smoothFactor,yBinNumber);
}
// Maximum function for 2DHistogram (for each bin)
void Max2DFunction::apply(MatrixGrid &matrixGrid, double* xData, double* yData, double* zData, int nbData, Range xRange, Range yRange,
int xBinNumber,int yBinNumber, double& zMin, double& zMax,int smoothFactor){
zMin = 0;
zMax = 0;
std::map<int,std::vector<double>> allValues;
allValues = getMatrixValues(xData,yData,zData,nbData,xRange,yRange,xBinNumber,yBinNumber);
for (unsigned int i(0); i < matrixGrid.size(); ++i){
double max;
if (allValues[i].size() >= 1)
{
for(unsigned int j(0); j < allValues[i].size();++j){
if (j == 0)
max = allValues[i][j];
if (max < allValues[i][j])
max = allValues[i][j];
}
matrixGrid[i].value= max;
if(zMax < matrixGrid[i].value)
zMax = matrixGrid[i].value;
if(zMin > matrixGrid[i].value)
zMin = matrixGrid[i].value;
}
}
if(smoothFactor > 1)
applySmooth(matrixGrid,smoothFactor,yBinNumber);
}
// Minimum function for 2DHistogram (for each bin)
void Min2DFunction::apply(MatrixGrid &matrixGrid, double* xData, double* yData, double* zData, int nbData, Range xRange, Range yRange,
int xBinNumber,int yBinNumber, double& zMin, double& zMax,int smoothFactor){
zMin = 0;
zMax = 0;
std::map<int,std::vector<double>> allValues;
allValues = getMatrixValues(xData,yData,zData,nbData,xRange,yRange,xBinNumber,yBinNumber);
for (unsigned int i(0); i < matrixGrid.size(); ++i){
double min;
if (allValues[i].size() >= 1)
{
for(unsigned int j(0); j < allValues[i].size();++j){
if (j == 0)
min = allValues[i][j];
if (min > allValues[i][j])
min = allValues[i][j];
}
matrixGrid[i].value= min;
if(zMax < matrixGrid[i].value)
zMax = matrixGrid[i].value;
if(zMin > matrixGrid[i].value)
zMin = matrixGrid[i].value;
}
}
if(smoothFactor > 1)
applySmooth(matrixGrid,smoothFactor,yBinNumber);
}
// Median function for 2DHistogram (for each bin)
void Median2DFunction::apply(MatrixGrid &matrixGrid, double* xData, double* yData, double* zData, int nbData, Range xRange, Range yRange,
int xBinNumber,int yBinNumber, double& zMin, double& zMax,int smoothFactor){
zMin = 0;
zMax = 0;
std::map<int,std::vector<double>> allValues;
allValues = getMatrixValues(xData,yData,zData,nbData,xRange,yRange,xBinNumber,yBinNumber);
for (unsigned int i(0); i < matrixGrid.size(); ++i){
if (allValues[i].size() >= 1)
{
std::sort(allValues[i].begin(), allValues[i].end());
if(allValues.size() %2 == 0)
matrixGrid[i].value= (allValues[i][allValues[i].size()/2-1] + allValues[i][allValues[i].size()/2])/2;
else
matrixGrid[i].value = allValues[i][allValues[i].size()/2];
if(zMax < matrixGrid[i].value)
zMax = matrixGrid[i].value;
if(zMin > matrixGrid[i].value)
zMin = matrixGrid[i].value;
}
}
if(smoothFactor > 1)
applySmooth(matrixGrid,smoothFactor,yBinNumber);
}
// Standard deviation function for 2DHistogram (for each bin)
void StandardDeviation2DFunction::apply(MatrixGrid &matrixGrid, double* xData, double* yData, double* zData, int nbData, Range xRange, Range yRange,
int xBinNumber,int yBinNumber, double& zMin, double& zMax,int smoothFactor){
zMin = 0;
zMax = 0;
std::map<int,std::vector<double>> allValues;
allValues = getMatrixValues(xData,yData,zData,nbData,xRange,yRange,xBinNumber,yBinNumber);
for (unsigned int i(0); i < matrixGrid.size(); ++i){
if (allValues[i].size() >= 1)
{
double mean = 0.0;
for (double x : allValues[i]) {
mean += x;
}
mean /= allValues[i].size();
double variance = 0.0;
for (double x : allValues[i]) {
variance += (x - mean) * (x - mean);
}
variance /= allValues[i].size();
matrixGrid[i].value = std::sqrt(variance);
if(zMax < matrixGrid[i].value)
zMax = matrixGrid[i].value;
if(zMin > matrixGrid[i].value)
zMin = matrixGrid[i].value;
}
}
if(smoothFactor > 1)
applySmooth(matrixGrid,smoothFactor,yBinNumber);
}
} /* namespace plot */