// -----------------------------------------------------------------------------
//
// -----------------------------------------------------------------------------
int StatsGenPlotWidget::extractStatsData(int index,
QVector<float>& binNumbers,
VectorOfFloatArray arrays)
{
int err = 0;
if (m_StatsType == DREAM3D::StatisticsType::UnknownStatisticsGroup)
{
QMessageBox::critical(this, tr("StatsGenerator"),
tr("This Plot has not been assigned a Statistics Group. This should be happening from within the program. Contact the developer."),
QMessageBox::Ok,
QMessageBox::Ok);
return -1;
}
if (m_DistributionType == DREAM3D::DistributionType::UnknownDistributionType)
{
QMessageBox::critical(this, tr("StatsGenerator"),
tr("The 'Distribution Type' was of an unknown type."),
QMessageBox::Ok,
QMessageBox::Ok);
return -1;
}
// Remove all the current rows in the table model
m_TableModel->removeRows(0, m_TableModel->rowCount());
// This will force a reset of the table model creating a new table model
setDistributionType(m_DistributionType); // This makes sure the combo box is set correctly
QVector<QString> colors;
qint32 count = binNumbers.count();
QStringList colorNames = QColor::colorNames();
qint32 colorOffset = 21;
for (qint32 i = 0; i < count; ++i)
{
colors.push_back(colorNames[colorOffset++]);
}
QVector<QVector<float> > data;
for(VectorOfFloatArray::size_type i = 0; i < arrays.size(); ++i)
{
QVector<float> col(static_cast<int>(arrays[i]->getNumberOfTuples()));
if (arrays[i]->getNumberOfTuples() > 0)
{
::memcpy( &(col.front()), arrays[i]->getVoidPointer(0), sizeof(float)*col.size() );
}
data.push_back(col);
}
m_TableModel->setTableData(binNumbers, data, colors);
m_TableView->resizeColumnsToContents();
m_TableView->scrollToBottom();
m_TableView->setFocus();
updatePlotCurves();
m_UserUpdatedData = true;
return err;
}
// -----------------------------------------------------------------------------
//
// -----------------------------------------------------------------------------
void FitFeatureData::readFilterParameters(AbstractFilterParametersReader* reader, int index)
{
reader->openFilterGroup(this, index);
setNewEnsembleArrayArray(reader->readDataArrayPath("NewEnsembleArrayArray", getNewEnsembleArrayArray()));
setBiasedFeaturesArrayPath(reader->readDataArrayPath("BiasedFeaturesArrayPath", getBiasedFeaturesArrayPath() ) );
setFeaturePhasesArrayPath(reader->readDataArrayPath("FeaturePhasesArrayPath", getFeaturePhasesArrayPath() ) );
setSelectedFeatureArrayPath( reader->readDataArrayPath( "SelectedFeatureArrayPath", getSelectedFeatureArrayPath() ) );
setDistributionType( reader->readValue( "DistributionType", getDistributionType() ) );
setRemoveBiasedFeatures( reader->readValue( "RemoveBiasedFeatures", getRemoveBiasedFeatures() ) );
reader->closeFilterGroup();
}
