HG_REPOSITORIES/LPP/SciQLOP_Repos/SciQLop Commit - r902:aa0c1de0bcf6

Implements spectrograms display (1)...

Alexandre Leroux -

r902:aa0c1de0bcf6

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r902:aa0c1de0bcf6

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core/include/Data/DataSeries.h +4 -3

             #ifndef SCIQLOP_DATASERIES_H
             #define SCIQLOP_DATASERIES_H
             #include "CoreGlobal.h"
             #include <Common/SortUtils.h>
             #include <Data/ArrayData.h>
             #include <Data/DataSeriesMergeHelper.h>
             #include <Data/IDataSeries.h>
             #include <Data/OptionalAxis.h>
             #include <QLoggingCategory>
             #include <QReadLocker>
             #include <QReadWriteLock>
             #include <memory>
             // We don't use the Qt macro since the log is used in the header file, which causes multiple log
             // definitions with inheritance. Inline method is used instead
             inline const QLoggingCategory &LOG_DataSeries()
             {
                 static const QLoggingCategory category{"DataSeries"};
                 return category;
             }
             template <int Dim>
             class DataSeries;
             namespace dataseries_detail {
             template <int Dim, bool IsConst>
             class IteratorValue : public DataSeriesIteratorValue::Impl {
             public:
                 friend class DataSeries<Dim>;
                 template <bool IC = IsConst, typename = std::enable_if_t<IC == false> >
                 explicit IteratorValue(DataSeries<Dim> &dataSeries, bool begin)
                         : m_XIt(begin ? dataSeries.xAxisData()->begin() : dataSeries.xAxisData()->end()),
                           m_ValuesIt(begin ? dataSeries.valuesData()->begin() : dataSeries.valuesData()->end())
                 {
                 }
                 template <bool IC = IsConst, typename = std::enable_if_t<IC == true> >
                 explicit IteratorValue(const DataSeries<Dim> &dataSeries, bool begin)
                         : m_XIt(begin ? dataSeries.xAxisData()->cbegin() : dataSeries.xAxisData()->cend()),
                           m_ValuesIt(begin ? dataSeries.valuesData()->cbegin()
                                            : dataSeries.valuesData()->cend())
                 {
                 }
                 IteratorValue(const IteratorValue &other) = default;
                 std::unique_ptr<DataSeriesIteratorValue::Impl> clone() const override
                 {
                     return std::make_unique<IteratorValue<Dim, IsConst> >(*this);
                 }
                 int distance(const DataSeriesIteratorValue::Impl &other) const override try {
                     const auto &otherImpl = dynamic_cast<const IteratorValue &>(other);
                     return m_XIt->distance(*otherImpl.m_XIt);
                 }
                 catch (const std::bad_cast &) {
                     return 0;
                 }
                 bool equals(const DataSeriesIteratorValue::Impl &other) const override try {
                     const auto &otherImpl = dynamic_cast<const IteratorValue &>(other);
                     return std::tie(m_XIt, m_ValuesIt) == std::tie(otherImpl.m_XIt, otherImpl.m_ValuesIt);
                 }
                 catch (const std::bad_cast &) {
                     return false;
                 }
                 bool lowerThan(const DataSeriesIteratorValue::Impl &other) const override try {
                     const auto &otherImpl = dynamic_cast<const IteratorValue &>(other);
                     return m_XIt->lowerThan(*otherImpl.m_XIt);
                 }
                 catch (const std::bad_cast &) {
                     return false;
                 }
                 std::unique_ptr<DataSeriesIteratorValue::Impl> advance(int offset) const override
                 {
                     auto result = clone();
                     result->next(offset);
                     return result;
                 }
                 void next(int offset) override
                 {
                     m_XIt->next(offset);
                     m_ValuesIt->next(offset);
                 }
                 void prev() override
                 {
                     --m_XIt;
                     --m_ValuesIt;
                 }
                 double x() const override { return m_XIt->at(0); }
                 double value() const override { return m_ValuesIt->at(0); }
                 double value(int componentIndex) const override { return m_ValuesIt->at(componentIndex); }
                 double minValue() const override { return m_ValuesIt->min(); }
                 double maxValue() const override { return m_ValuesIt->max(); }
                 QVector<double> values() const override { return m_ValuesIt->values(); }
                 void swap(DataSeriesIteratorValue::Impl &other) override
                 {
                     auto &otherImpl = dynamic_cast<IteratorValue &>(other);
                     m_XIt->impl()->swap(*otherImpl.m_XIt->impl());
                     m_ValuesIt->impl()->swap(*otherImpl.m_ValuesIt->impl());
                 }
             private:
                 ArrayDataIterator m_XIt;
                 ArrayDataIterator m_ValuesIt;
             };
             } // namespace dataseries_detail
             /**
              * @brief The DataSeries class is the base (abstract) implementation of IDataSeries.
              *
              * The DataSeries represents values on one or two axes, according to these rules:
              * - the x-axis is always defined
              * - an y-axis can be defined or not. If set, additional consistency checks apply to the values (see
              * below)
              * - the values are defined on one or two dimensions. In the case of 2-dim values, the data is
              * distributed into components (for example, a vector defines three components)
              * - New values can be added to the series, on the x-axis.
              * - Once initialized to the series creation, the y-axis (if defined) is no longer modifiable
              * - Data representing values and axes are associated with a unit
              * - The data series is always sorted in ascending order on the x-axis.
              *
              * Consistency checks are carried out between the axes and the values. These controls are provided
              * throughout the DataSeries lifecycle:
              * - the number of data on the x-axis must be equal to the number of values (in the case of
              * 2-dim ArrayData for values, the test is performed on the number of values per component)
              * - if the y-axis is defined, the number of components of the ArrayData for values must equal the
              * number of data on the y-axis.
              *
              * Examples:
              * 1)
              * - x-axis: [1 ; 2 ; 3]
              * - y-axis: not defined
              * - values: [10 ; 20 ; 30] (1-dim ArrayData)
              * => the DataSeries is valid, as x-axis and values have the same number of data
              *
              * 2)
              * - x-axis: [1 ; 2 ; 3]
              * - y-axis: not defined
              * - values: [10 ; 20 ; 30 ; 40] (1-dim ArrayData)
              * => the DataSeries is invalid, as x-axis and values haven't the same number of data
              *
              * 3)
              * - x-axis: [1 ; 2 ; 3]
              * - y-axis: not defined
              * - values: [10 ; 20 ; 30
              *            40 ; 50 ; 60] (2-dim ArrayData)
              * => the DataSeries is valid, as x-axis has 3 data and values contains 2 components with 3
              * data each
              *
              * 4)
              * - x-axis: [1 ; 2 ; 3]
              * - y-axis: [1 ; 2]
              * - values: [10 ; 20 ; 30
              *            40 ; 50 ; 60] (2-dim ArrayData)
              * => the DataSeries is valid, as:
              * - x-axis has 3 data and values contains 2 components with 3 data each AND
              * - y-axis has 2 data and values contains 2 components
              *
              * 5)
              * - x-axis: [1 ; 2 ; 3]
              * - y-axis: [1 ; 2 ; 3]
              * - values: [10 ; 20 ; 30
              *            40 ; 50 ; 60] (2-dim ArrayData)
              * => the DataSeries is invalid, as:
              * - x-axis has 3 data and values contains 2 components with 3 data each BUT
              * - y-axis has 3 data and values contains only 2 components
              *
              * @tparam Dim The dimension of the values data
              *
              */
             template <int Dim>
             class SCIQLOP_CORE_EXPORT DataSeries : public IDataSeries {
                 friend class DataSeriesMergeHelper;
             public:
                 /// @sa IDataSeries::xAxisData()
                 std::shared_ptr<ArrayData<1> > xAxisData() override { return m_XAxisData; }
                 const std::shared_ptr<ArrayData<1> > xAxisData() const { return m_XAxisData; }
                 /// @sa IDataSeries::xAxisUnit()
                 Unit xAxisUnit() const override { return m_XAxisUnit; }
                 /// @return the values dataset
                 std::shared_ptr<ArrayData<Dim> > valuesData() { return m_ValuesData; }
                 const std::shared_ptr<ArrayData<Dim> > valuesData() const { return m_ValuesData; }
                 /// @sa IDataSeries::valuesUnit()
                 Unit valuesUnit() const override { return m_ValuesUnit; }
                 int nbPoints() const override { return m_ValuesData->totalSize(); }
                 void clear()
                 {
                     m_XAxisData->clear();
                     m_ValuesData->clear();
                 }
                 bool isEmpty() const noexcept { return m_XAxisData->size() == 0; }
                 /// Merges into the data series an other data series.
                 ///
                 /// The two dataseries:
                 /// - must be of the same dimension
                 /// - must have the same y-axis (if defined)
                 ///
                 /// If the prerequisites are not valid, the method does nothing
                 ///
                 /// @remarks the data series to merge with is cleared after the operation
                 void merge(IDataSeries *dataSeries) override
                 {
                     dataSeries->lockWrite();
                     lockWrite();
                     if (auto other = dynamic_cast<DataSeries<Dim> *>(dataSeries)) {
                         if (m_YAxis == other->m_YAxis) {
                             DataSeriesMergeHelper::merge(*other, *this);
                         }
                         else {
                             qCWarning(LOG_DataSeries())
                                 << QObject::tr("Can't merge data series that have not the same y-axis");
                         }
                     }
                     else {
                         qCWarning(LOG_DataSeries())
                             << QObject::tr("Detection of a type of IDataSeries we cannot merge with !");
                     }
                     unlock();
                     dataSeries->unlock();
                 }
                 void purge(double min, double max) override
                 {
                     // Nothing to purge if series is empty
                     if (isEmpty()) {
                         return;
                     }
                     if (min > max) {
                         std::swap(min, max);
                     }
                     // Nothing to purge if series min/max are inside purge range
                     auto xMin = cbegin()->x();
                     auto xMax = (--cend())->x();
                     if (xMin >= min && xMax <= max) {
                         return;
                     }
                     auto lowerIt = std::lower_bound(
                         begin(), end(), min, [](const auto &it, const auto &val) { return it.x() < val; });
                     erase(begin(), lowerIt);
                     auto upperIt = std::upper_bound(
                         begin(), end(), max, [](const auto &val, const auto &it) { return val < it.x(); });
                     erase(upperIt, end());
                 }
                 // ///////// //
                 // Iterators //
                 // ///////// //
                 DataSeriesIterator begin() override
                 {
                     return DataSeriesIterator{DataSeriesIteratorValue{
                         std::make_unique<dataseries_detail::IteratorValue<Dim, false> >(*this, true)}};
                 }
                 DataSeriesIterator end() override
                 {
                     return DataSeriesIterator{DataSeriesIteratorValue{
                         std::make_unique<dataseries_detail::IteratorValue<Dim, false> >(*this, false)}};
                 }
                 DataSeriesIterator cbegin() const override
                 {
                     return DataSeriesIterator{DataSeriesIteratorValue{
                         std::make_unique<dataseries_detail::IteratorValue<Dim, true> >(*this, true)}};
                 }
                 DataSeriesIterator cend() const override
                 {
                     return DataSeriesIterator{DataSeriesIteratorValue{
                         std::make_unique<dataseries_detail::IteratorValue<Dim, true> >(*this, false)}};
                 }
                 void erase(DataSeriesIterator first, DataSeriesIterator last)
                 {
                     auto firstImpl
                         = dynamic_cast<dataseries_detail::IteratorValue<Dim, false> *>(first->impl());
                     auto lastImpl = dynamic_cast<dataseries_detail::IteratorValue<Dim, false> *>(last->impl());
                     if (firstImpl && lastImpl) {
                         m_XAxisData->erase(firstImpl->m_XIt, lastImpl->m_XIt);
                         m_ValuesData->erase(firstImpl->m_ValuesIt, lastImpl->m_ValuesIt);
                     }
                 }
                 void insert(DataSeriesIterator first, DataSeriesIterator last, bool prepend = false)
                 {
                     auto firstImpl = dynamic_cast<dataseries_detail::IteratorValue<Dim, true> *>(first->impl());
                     auto lastImpl = dynamic_cast<dataseries_detail::IteratorValue<Dim, true> *>(last->impl());
                     if (firstImpl && lastImpl) {
                         m_XAxisData->insert(firstImpl->m_XIt, lastImpl->m_XIt, prepend);
                         m_ValuesData->insert(firstImpl->m_ValuesIt, lastImpl->m_ValuesIt, prepend);
                     }
                 }
                 /// @sa IDataSeries::minXAxisData()
                 DataSeriesIterator minXAxisData(double minXAxisData) const override
                 {
                     return std::lower_bound(
                         cbegin(), cend(), minXAxisData,
                         [](const auto &itValue, const auto &value) { return itValue.x() < value; });
                 }
                 /// @sa IDataSeries::maxXAxisData()
                 DataSeriesIterator maxXAxisData(double maxXAxisData) const override
                 {
                     // Gets the first element that greater than max value
                     auto it = std::upper_bound(
                         cbegin(), cend(), maxXAxisData,
                         [](const auto &value, const auto &itValue) { return value < itValue.x(); });
                     return it == cbegin() ? cend() : --it;
                 }
                 std::pair<DataSeriesIterator, DataSeriesIterator> xAxisRange(double minXAxisData,
                                                                              double maxXAxisData) const override
                 {
                     if (minXAxisData > maxXAxisData) {
                         std::swap(minXAxisData, maxXAxisData);
                     }
                     auto begin = cbegin();
                     auto end = cend();
                     auto lowerIt = std::lower_bound(
                         begin, end, minXAxisData,
                         [](const auto &itValue, const auto &value) { return itValue.x() < value; });
                     auto upperIt = std::upper_bound(
                         lowerIt, end, maxXAxisData,
                         [](const auto &value, const auto &itValue) { return value < itValue.x(); });
                     return std::make_pair(lowerIt, upperIt);
                 }
                 std::pair<DataSeriesIterator, DataSeriesIterator>
                 valuesBounds(double minXAxisData, double maxXAxisData) const override
                 {
                     // Places iterators to the correct x-axis range
                     auto xAxisRangeIts = xAxisRange(minXAxisData, maxXAxisData);
                     // Returns end iterators if the range is empty
                     if (xAxisRangeIts.first == xAxisRangeIts.second) {
                         return std::make_pair(cend(), cend());
                     }
                     // Gets the iterator on the min of all values data
                     auto minIt = std::min_element(
                         xAxisRangeIts.first, xAxisRangeIts.second, [](const auto &it1, const auto &it2) {
                             return SortUtils::minCompareWithNaN(it1.minValue(), it2.minValue());
                         });
                     // Gets the iterator on the max of all values data
                     auto maxIt = std::max_element(
                         xAxisRangeIts.first, xAxisRangeIts.second, [](const auto &it1, const auto &it2) {
                             return SortUtils::maxCompareWithNaN(it1.maxValue(), it2.maxValue());
                         });
                     return std::make_pair(minIt, maxIt);
                 }
+                /// @return the y-axis associated to the data series
+                /// @todo pass getter as protected and use iterators to access the y-axis data
+                OptionalAxis yAxis() const { return m_YAxis; }
                 // /////// //
                 // Mutexes //
                 // /////// //
                 virtual void lockRead() { m_Lock.lockForRead(); }
                 virtual void lockWrite() { m_Lock.lockForWrite(); }
                 virtual void unlock() { m_Lock.unlock(); }
             protected:
                 /// Protected ctor (DataSeries is abstract).
                 ///
                 /// Data vectors must be consistent with each other, otherwise an exception will be thrown (@sa
                 /// class description for consistent rules)
                 /// @remarks data series is automatically sorted on its x-axis data
                 /// @throws std::invalid_argument if the data are inconsistent with each other
                 explicit DataSeries(std::shared_ptr<ArrayData<1> > xAxisData, const Unit &xAxisUnit,
                                     std::shared_ptr<ArrayData<Dim> > valuesData, const Unit &valuesUnit,
                                     OptionalAxis yAxis = OptionalAxis{})
                         : m_XAxisData{xAxisData},
                           m_XAxisUnit{xAxisUnit},
                           m_ValuesData{valuesData},
                           m_ValuesUnit{valuesUnit},
                           m_YAxis{std::move(yAxis)}
                 {
                     if (m_XAxisData->size() != m_ValuesData->size()) {
                         throw std::invalid_argument{
                             "The number of values by component must be equal to the number of x-axis data"};
                     }
                     // Validates y-axis (if defined)
                     if (yAxis.isDefined() && (yAxis.size() != m_ValuesData->componentCount())) {
                         throw std::invalid_argument{
                             "As the y-axis is defined, the number of value components must be equal to the "
                             "number of y-axis data"};
                     }
                     // Sorts data if it's not the case
                     const auto &xAxisCData = m_XAxisData->cdata();
                     if (!std::is_sorted(xAxisCData.cbegin(), xAxisCData.cend())) {
                         sort();
                     }
                 }
                 /// Copy ctor
                 explicit DataSeries(const DataSeries<Dim> &other)
                         : m_XAxisData{std::make_shared<ArrayData<1> >(*other.m_XAxisData)},
                           m_XAxisUnit{other.m_XAxisUnit},
                           m_ValuesData{std::make_shared<ArrayData<Dim> >(*other.m_ValuesData)},
                           m_ValuesUnit{other.m_ValuesUnit},
                           m_YAxis{other.m_YAxis}
                 {
                     // Since a series is ordered from its construction and is always ordered, it is not
                     // necessary to call the sort method here ('other' is sorted)
                 }
-                /// @return the y-axis associated to the data series
-                OptionalAxis yAxis() const { return m_YAxis; }
                 /// Assignment operator
                 template <int D>
                 DataSeries &operator=(DataSeries<D> other)
                 {
                     std::swap(m_XAxisData, other.m_XAxisData);
                     std::swap(m_XAxisUnit, other.m_XAxisUnit);
                     std::swap(m_ValuesData, other.m_ValuesData);
                     std::swap(m_ValuesUnit, other.m_ValuesUnit);
                     std::swap(m_YAxis, other.m_YAxis);
                     return *this;
                 }
             private:
                 /**
                  * Sorts data series on its x-axis data
                  */
                 void sort() noexcept
                 {
                     auto permutation = SortUtils::sortPermutation(*m_XAxisData, std::less<double>());
                     m_XAxisData = m_XAxisData->sort(permutation);
                     m_ValuesData = m_ValuesData->sort(permutation);
                 }
                 // x-axis
                 std::shared_ptr<ArrayData<1> > m_XAxisData;
                 Unit m_XAxisUnit;
                 // values
                 std::shared_ptr<ArrayData<Dim> > m_ValuesData;
                 Unit m_ValuesUnit;
                 // y-axis (optional)
                 OptionalAxis m_YAxis;
                 QReadWriteLock m_Lock;
             };
             #endif // SCIQLOP_DATASERIES_H

gui/src/Visualization/VisualizationGraphHelper.cpp +22 0

             #include "Visualization/VisualizationGraphHelper.h"
             #include "Visualization/qcustomplot.h"
             #include <Common/ColorUtils.h>
             #include <Data/ScalarSeries.h>
+            #include <Data/SpectrogramSeries.h>
             #include <Data/VectorSeries.h>
             #include <Variable/Variable.h>
             Q_LOGGING_CATEGORY(LOG_VisualizationGraphHelper, "VisualizationGraphHelper")
             namespace {
             class SqpDataContainer : public QCPGraphDataContainer {
             public:
                 void appendGraphData(const QCPGraphData &data) { mData.append(data); }
             };
             /**
              * Struct used to create plottables, depending on the type of the data series from which to create
              * them
              * @tparam T the data series' type
              * @remarks Default implementation can't create plottables
              */
             template <typename T, typename Enabled = void>
             struct PlottablesCreator {
                 static PlottablesMap createPlottables(T &, QCustomPlot &)
                 {
                     qCCritical(LOG_DataSeries())
                         << QObject::tr("Can't create plottables: unmanaged data series type");
                     return {};
                 }
             };
             /**
              * Specialization of PlottablesCreator for scalars and vectors
              * @sa ScalarSeries
              * @sa VectorSeries
              */
             template <typename T>
             struct PlottablesCreator<T,
                                      typename std::enable_if_t<std::is_base_of<ScalarSeries, T>::value
                                                                or std::is_base_of<VectorSeries, T>::value> > {
                 static PlottablesMap createPlottables(T &dataSeries, QCustomPlot &plot)
                 {
                     PlottablesMap result{};
                     // Gets the number of components of the data series
                     dataSeries.lockRead();
                     auto componentCount = dataSeries.valuesData()->componentCount();
                     dataSeries.unlock();
                     auto colors = ColorUtils::colors(Qt::blue, Qt::red, componentCount);
                     // For each component of the data series, creates a QCPGraph to add to the plot
                     for (auto i = 0; i < componentCount; ++i) {
                         auto graph = plot.addGraph();
                         graph->setPen(QPen{colors.at(i)});
                         result.insert({i, graph});
                     }
                     plot.replot();
                     return result;
                 }
             };
             /**
+             * Specialization of PlottablesCreator for spectrograms
+             * @sa SpectrogramSeries
+             */
+            template <typename T>
+            struct PlottablesCreator<T,
+                                     typename std::enable_if_t<std::is_base_of<SpectrogramSeries, T>::value> > {
+                static PlottablesMap createPlottables(T &dataSeries, QCustomPlot &plot)
+                {
+                    PlottablesMap result{};
+                    result.insert({0, new QCPColorMap{plot.xAxis, plot.yAxis}});
+                    plot.replot();
+                    return result;
+                }
+            };
+            /**
              * Struct used to update plottables, depending on the type of the data series from which to update
              * them
              * @tparam T the data series' type
              * @remarks Default implementation can't update plottables
              */
             template <typename T, typename Enabled = void>
             struct PlottablesUpdater {
                 static void setPlotYAxisRange(T &, const SqpRange &, QCustomPlot &)
                 {
                     qCCritical(LOG_DataSeries())
                         << QObject::tr("Can't set plot y-axis range: unmanaged data series type");
                 }
                 static void updatePlottables(T &, PlottablesMap &, const SqpRange &, bool)
                 {
                     qCCritical(LOG_DataSeries())
                         << QObject::tr("Can't update plottables: unmanaged data series type");
                 }
             };
             /**
              * Specialization of PlottablesUpdater for scalars and vectors
              * @sa ScalarSeries
              * @sa VectorSeries
              */
             template <typename T>
             struct PlottablesUpdater<T,
                                      typename std::enable_if_t<std::is_base_of<ScalarSeries, T>::value
                                                                or std::is_base_of<VectorSeries, T>::value> > {
                 static void setPlotYAxisRange(T &dataSeries, const SqpRange &xAxisRange, QCustomPlot &plot)
                 {
                     auto minValue = 0., maxValue = 0.;
                     dataSeries.lockRead();
                     auto valuesBounds = dataSeries.valuesBounds(xAxisRange.m_TStart, xAxisRange.m_TEnd);
                     auto end = dataSeries.cend();
                     if (valuesBounds.first != end && valuesBounds.second != end) {
                         auto rangeValue = [](const auto &value) { return std::isnan(value) ? 0. : value; };
                         minValue = rangeValue(valuesBounds.first->minValue());
                         maxValue = rangeValue(valuesBounds.second->maxValue());
                     }
                     dataSeries.unlock();
                     plot.yAxis->setRange(QCPRange{minValue, maxValue});
                 }
                 static void updatePlottables(T &dataSeries, PlottablesMap &plottables, const SqpRange &range,
                                              bool rescaleAxes)
                 {
                     // For each plottable to update, resets its data
                     std::map<int, QSharedPointer<SqpDataContainer> > dataContainers{};
                     for (const auto &plottable : plottables) {
                         if (auto graph = dynamic_cast<QCPGraph *>(plottable.second)) {
                             auto dataContainer = QSharedPointer<SqpDataContainer>::create();
                             graph->setData(dataContainer);
                             dataContainers.insert({plottable.first, dataContainer});
                         }
                     }
                     dataSeries.lockRead();
                     // - Gets the data of the series included in the current range
                     // - Updates each plottable by adding, for each data item, a point that takes x-axis data
                     // and value data. The correct value is retrieved according to the index of the component
                     auto subDataIts = dataSeries.xAxisRange(range.m_TStart, range.m_TEnd);
                     for (auto it = subDataIts.first; it != subDataIts.second; ++it) {
                         for (const auto &dataContainer : dataContainers) {
                             auto componentIndex = dataContainer.first;
                             dataContainer.second->appendGraphData(
                                 QCPGraphData(it->x(), it->value(componentIndex)));
                         }
                     }
                     dataSeries.unlock();
                     if (!plottables.empty()) {
                         auto plot = plottables.begin()->second->parentPlot();
                         if (rescaleAxes) {
                             plot->rescaleAxes();
                         }
                         plot->replot();
                     }
                 }
             };
             /**
              * Helper used to create/update plottables
              */
             struct IPlottablesHelper {
                 virtual ~IPlottablesHelper() noexcept = default;
                 virtual PlottablesMap create(QCustomPlot &plot) const = 0;
                 virtual void setYAxisRange(const SqpRange &xAxisRange, QCustomPlot &plot) const = 0;
                 virtual void update(PlottablesMap &plottables, const SqpRange &range,
                                     bool rescaleAxes = false) const = 0;
             };
             /**
              * Default implementation of IPlottablesHelper, which takes data series to create/update plottables
              * @tparam T the data series' type
              */
             template <typename T>
             struct PlottablesHelper : public IPlottablesHelper {
                 explicit PlottablesHelper(T &dataSeries) : m_DataSeries{dataSeries} {}
                 PlottablesMap create(QCustomPlot &plot) const override
                 {
                     return PlottablesCreator<T>::createPlottables(m_DataSeries, plot);
                 }
                 void update(PlottablesMap &plottables, const SqpRange &range, bool rescaleAxes) const override
                 {
                     PlottablesUpdater<T>::updatePlottables(m_DataSeries, plottables, range, rescaleAxes);
                 }
                 void setYAxisRange(const SqpRange &xAxisRange, QCustomPlot &plot) const override
                 {
                     return PlottablesUpdater<T>::setPlotYAxisRange(m_DataSeries, xAxisRange, plot);
                 }
                 T &m_DataSeries;
             };
             /// Creates IPlottablesHelper according to a data series
             std::unique_ptr<IPlottablesHelper> createHelper(std::shared_ptr<IDataSeries> dataSeries) noexcept
             {
                 if (auto scalarSeries = std::dynamic_pointer_cast<ScalarSeries>(dataSeries)) {
                     return std::make_unique<PlottablesHelper<ScalarSeries> >(*scalarSeries);
                 }
+                else if (auto spectrogramSeries = std::dynamic_pointer_cast<SpectrogramSeries>(dataSeries)) {
+                    return std::make_unique<PlottablesHelper<SpectrogramSeries> >(*spectrogramSeries);
+                }
                 else if (auto vectorSeries = std::dynamic_pointer_cast<VectorSeries>(dataSeries)) {
                     return std::make_unique<PlottablesHelper<VectorSeries> >(*vectorSeries);
                 }
                 else {
                     return std::make_unique<PlottablesHelper<IDataSeries> >(*dataSeries);
                 }
             }
             } // namespace
             PlottablesMap VisualizationGraphHelper::create(std::shared_ptr<Variable> variable,
                                                            QCustomPlot &plot) noexcept
             {
                 if (variable) {
                     auto helper = createHelper(variable->dataSeries());
                     auto plottables = helper->create(plot);
                     return plottables;
                 }
                 else {
                     qCDebug(LOG_VisualizationGraphHelper())
                         << QObject::tr("Can't create graph plottables : the variable is null");
                     return PlottablesMap{};
                 }
             }
             void VisualizationGraphHelper::setYAxisRange(std::shared_ptr<Variable> variable,
                                                          QCustomPlot &plot) noexcept
             {
                 if (variable) {
                     auto helper = createHelper(variable->dataSeries());
                     helper->setYAxisRange(variable->range(), plot);
                 }
                 else {
                     qCDebug(LOG_VisualizationGraphHelper())
                         << QObject::tr("Can't set y-axis range of plot: the variable is null");
                 }
             }
             void VisualizationGraphHelper::updateData(PlottablesMap &plottables,
                                                       std::shared_ptr<IDataSeries> dataSeries,
                                                       const SqpRange &dateTime)
             {
                 auto helper = createHelper(dataSeries);
                 helper->update(plottables, dateTime);
             }

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