Example #1
0
void Histogram::internalUpdate() {

    writeLockInputsAndOutputs();

    int i_bin, i_pt, ns;
    double y = 0.0;
    double MaxY = 0.0;
    // do auto-binning if necessary
    if (_realTimeAutoBin) {
        int temp_NumberOfBins;
        double temp_xMin, temp_xMax;
        Histogram::AutoBin(_inputVectors[RAWVECTOR], &temp_NumberOfBins, &temp_xMax, &temp_xMin);
        internalSetNumberOfBins(temp_NumberOfBins);
        internalSetXRange(temp_xMin, temp_xMax);
    }

    _NS = 3 * _NumberOfBins + 1;
    _W = (_MaxX - _MinX)/double(_NumberOfBins);

    memset(_Bins, 0, _NumberOfBins*sizeof(*_Bins));

    ns = _inputVectors[RAWVECTOR]->length();
    for (i_pt = 0; i_pt < ns ; ++i_pt) {
        y = _inputVectors[RAWVECTOR]->interpolate(i_pt, ns);
        i_bin = (int)floor((y-_MinX)/_W);
        if (i_bin >= 0 && i_bin < _NumberOfBins) {
            _Bins[i_bin]++;
        } else {
            // the top boundary of the top bin is included in the top bin.
            // for all other bins, the top boundary is included in the next bin
            if (y == _MaxX) {
                _Bins[_NumberOfBins-1]++;
            }
        }
    }

    for (i_bin=0; i_bin<_NumberOfBins; ++i_bin) {
        y = _Bins[i_bin];
        if (y > MaxY) {
            MaxY = y;
        }
    }

    LabelInfo label_info;

    switch (_NormalizationMode) {
    case Number:
        _Normalization = 1.0;
        label_info.quantity = tr("Number");
        break;
    case Percent:
        if (ns > 0) {
            _Normalization = 100.0/(double)ns;
        } else {
            _Normalization = 1.0;
        }
        label_info.quantity = tr("Percent");
        break;
    case Fraction:
        if (ns > 0) {
            _Normalization = 1.0/(double)ns;
        } else {
            _Normalization = 1.0;
        }
        label_info.quantity = tr("Fraction");
        break;
    case MaximumOne:
        if (MaxY > 0) {
            _Normalization = 1.0/MaxY;
        } else {
            _Normalization = 1.0;
        }
        label_info.quantity = tr("Normalized Frequency");
        break;
    default:
        _Normalization = 1.0;
        label_info.quantity = tr("Number");
        break;
    }

    _bVector->setLabelInfo(_inputVectors[RAWVECTOR]->labelInfo());

    label_info.quantity.clear();
    label_info.units.clear();
    label_info.name = tr( "Histogram of %1").arg(_bVector->labelInfo().name);
    label_info.file = _bVector->labelInfo().file;

    _hVector->setTitleInfo(label_info);

    double *bins = _bVector->value();
    double *hist = _hVector->value();

    for ( i_bin = 0; i_bin<_NumberOfBins; ++i_bin ) {
        bins[i_bin] = ( double( i_bin ) + 0.5 )*_W + _MinX;
        hist[i_bin] = _Bins[i_bin]*_Normalization;
    }

    unlockInputsAndOutputs();

}
Example #2
0
void Histogram::setXRange(double xmin_in, double xmax_in) {
    internalSetXRange(xmin_in, xmax_in);
}
void Histogram::internalUpdate() {

  writeLockInputsAndOutputs();

  int i_bin, i_pt, ns;
  double y = 0.0;
  double MaxY = 0.0;
  // do auto-binning if necessary
  if (_realTimeAutoBin) {
    int temp_NumberOfBins;
    double temp_xMin, temp_xMax;
    Histogram::AutoBin(_inputVectors[RAWVECTOR], &temp_NumberOfBins, &temp_xMax, &temp_xMin);
    internalSetNumberOfBins(temp_NumberOfBins);
    internalSetXRange(temp_xMin, temp_xMax);
  }

  _NS = 3 * _NumberOfBins + 1;
  _W = (_MaxX - _MinX)/double(_NumberOfBins);

  memset(_Bins, 0, _NumberOfBins*sizeof(*_Bins));

  ns = _inputVectors[RAWVECTOR]->length();
  for (i_pt = 0; i_pt < ns ; i_pt++) {
    y = _inputVectors[RAWVECTOR]->interpolate(i_pt, ns);
    i_bin = (int)floor((y-_MinX)/_W);
    if (i_bin >= 0 && i_bin < _NumberOfBins) {
      _Bins[i_bin]++;
    } else {
      // the top boundry of the top bin is included in the top bin.
      // for all other bins, the top boundry is included in the next bin
      if (y == _MaxX) {
        _Bins[_NumberOfBins-1]++;
      }
    }
  }

  for (i_bin=0; i_bin<_NumberOfBins; i_bin++) {
    y = _Bins[i_bin];
    if (y > MaxY) {
      MaxY = y;
    }
  }

  switch (_NormalizationMode) {
    case Number:
      _Normalization = 1.0;
      _hVector->setLabel(i18n("Number in bin"));
      break;
    case Percent:
      if (ns > 0) {
        _Normalization = 100.0/(double)ns;
      } else {
        _Normalization = 1.0;
      }
      _hVector->setLabel(i18n("Percent in bin"));
      break;
    case Fraction:
      if (ns > 0) {
        _Normalization = 1.0/(double)ns;
      } else {
        _Normalization = 1.0;
      }
      _hVector->setLabel(i18n("Fraction in bin"));
      break;
    case MaximumOne:
      if (MaxY > 0) {
        _Normalization = 1.0/MaxY;
      } else {
        _Normalization = 1.0;
      }
      _hVector->setLabel("");
      break;
    default:
      _Normalization = 1.0;
      break;
  }

  _bVector->setLabel(_inputVectors[RAWVECTOR]->descriptiveName());

  double *bins = _bVector->value();
  double *hist = _hVector->value();

  for ( i_bin = 0; i_bin<_NumberOfBins; i_bin++ ) {
    bins[i_bin] = ( double( i_bin ) + 0.5 )*_W + _MinX;
    hist[i_bin] = _Bins[i_bin]*_Normalization;
  }

  // these will get updated by the update manager now
  // that their provider been changed.
  //_bVector->update();
  //_hVector->update();

  unlockInputsAndOutputs();

}