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#include "Visualization/VisualizationGraphHelper.h"
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#include "Visualization/VisualizationGraphHelper.h"
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#include "Visualization/qcustomplot.h"
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#include "Visualization/qcustomplot.h"
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#include <Data/ScalarTimeSerie.h>
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#include <Data/ScalarTimeSerie.h>
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#include <Data/SpectrogramTimeSerie.h>
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#include <Data/SpectrogramTimeSerie.h>
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#include <Data/TimeSeriesUtils.h>
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#include <Data/TimeSeriesUtils.h>
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#include <Data/VectorTimeSerie.h>
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#include <Data/VectorTimeSerie.h>
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#include <Common/cpp_utils.h>
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#include <Common/cpp_utils.h>
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#include <Variable/Variable2.h>
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#include <Variable/Variable2.h>
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#include <algorithm>
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#include <algorithm>
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#include <cmath>
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#include <cmath>
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Q_LOGGING_CATEGORY(LOG_VisualizationGraphHelper, "VisualizationGraphHelper")
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Q_LOGGING_CATEGORY(LOG_VisualizationGraphHelper, "VisualizationGraphHelper")
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namespace
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namespace
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{
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{
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class SqpDataContainer : public QCPGraphDataContainer
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class SqpDataContainer : public QCPGraphDataContainer
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{
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{
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public:
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public:
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void appendGraphData(const QCPGraphData& data) { mData.append(data); }
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void appendGraphData(const QCPGraphData& data) { mData.append(data); }
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};
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};
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/**
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/**
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* Struct used to create plottables, depending on the type of the data series from which to create
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* Struct used to create plottables, depending on the type of the data series from which to create
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* them
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* them
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* @tparam T the data series' type
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* @tparam T the data series' type
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* @remarks Default implementation can't create plottables
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* @remarks Default implementation can't create plottables
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*/
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*/
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template <typename T, typename Enabled = void>
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template <typename T, typename Enabled = void>
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struct PlottablesCreator
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struct PlottablesCreator
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{
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{
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static PlottablesMap createPlottables(QCustomPlot&, const std::shared_ptr<T>& dataSeries)
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static PlottablesMap createPlottables(QCustomPlot&, const std::shared_ptr<T>& dataSeries)
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{
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{
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return {};
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return {};
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}
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}
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};
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};
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PlottablesMap createGraphs(QCustomPlot& plot, int nbGraphs)
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PlottablesMap createGraphs(QCustomPlot& plot, int nbGraphs)
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{
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{
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PlottablesMap result {};
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PlottablesMap result {};
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// Creates {nbGraphs} QCPGraph to add to the plot
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// Creates {nbGraphs} QCPGraph to add to the plot
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for (auto i = 0; i < nbGraphs; ++i)
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for (auto i = 0; i < nbGraphs; ++i)
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{
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{
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auto graph = plot.addGraph();
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auto graph = plot.addGraph();
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result.insert({ i, graph });
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result.insert({ i, graph });
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}
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}
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plot.replot();
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plot.replot();
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return result;
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return result;
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}
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}
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/**
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/**
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* Specialization of PlottablesCreator for scalars
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* Specialization of PlottablesCreator for scalars
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* @sa ScalarSeries
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* @sa ScalarSeries
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*/
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*/
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template <typename T>
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template <typename T>
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struct PlottablesCreator<T, typename std::enable_if_t<std::is_base_of<ScalarTimeSerie, T>::value>>
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struct PlottablesCreator<T, typename std::enable_if_t<std::is_base_of<ScalarTimeSerie, T>::value>>
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{
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{
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static PlottablesMap createPlottables(QCustomPlot& plot, const std::shared_ptr<T>& dataSeries)
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static PlottablesMap createPlottables(QCustomPlot& plot, const std::shared_ptr<T>& dataSeries)
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{
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{
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return createGraphs(plot, 1);
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return createGraphs(plot, 1);
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}
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}
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};
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};
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/**
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/**
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* Specialization of PlottablesCreator for vectors
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* Specialization of PlottablesCreator for vectors
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* @sa VectorSeries
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* @sa VectorSeries
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*/
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*/
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template <typename T>
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template <typename T>
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struct PlottablesCreator<T, typename std::enable_if_t<std::is_base_of<VectorTimeSerie, T>::value>>
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struct PlottablesCreator<T, typename std::enable_if_t<std::is_base_of<VectorTimeSerie, T>::value>>
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{
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{
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static PlottablesMap createPlottables(QCustomPlot& plot, const std::shared_ptr<T>& dataSeries)
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static PlottablesMap createPlottables(QCustomPlot& plot, const std::shared_ptr<T>& dataSeries)
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{
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{
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return createGraphs(plot, 3);
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return createGraphs(plot, 3);
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}
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}
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};
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};
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/**
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/**
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* Specialization of PlottablesCreator for MultiComponentTimeSeries
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* Specialization of PlottablesCreator for MultiComponentTimeSeries
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* @sa VectorSeries
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* @sa VectorSeries
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*/
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*/
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template <typename T>
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template <typename T>
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struct PlottablesCreator<T,
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struct PlottablesCreator<T,
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typename std::enable_if_t<std::is_base_of<MultiComponentTimeSerie, T>::value>>
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typename std::enable_if_t<std::is_base_of<MultiComponentTimeSerie, T>::value>>
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{
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{
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static PlottablesMap createPlottables(QCustomPlot& plot, const std::shared_ptr<T>& dataSeries)
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static PlottablesMap createPlottables(QCustomPlot& plot, const std::shared_ptr<T>& dataSeries)
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{
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{
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return createGraphs(plot, dataSeries->size(1));
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return createGraphs(plot, dataSeries->size(1));
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}
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}
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};
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};
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/**
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/**
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* Specialization of PlottablesCreator for spectrograms
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* Specialization of PlottablesCreator for spectrograms
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* @sa SpectrogramSeries
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* @sa SpectrogramSeries
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*/
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*/
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template <typename T>
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template <typename T>
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struct PlottablesCreator<T,
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struct PlottablesCreator<T,
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typename std::enable_if_t<std::is_base_of<SpectrogramTimeSerie, T>::value>>
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typename std::enable_if_t<std::is_base_of<SpectrogramTimeSerie, T>::value>>
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{
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{
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static PlottablesMap createPlottables(QCustomPlot& plot, const std::shared_ptr<T>& dataSeries)
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static PlottablesMap createPlottables(QCustomPlot& plot, const std::shared_ptr<T>& dataSeries)
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{
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{
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PlottablesMap result {};
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PlottablesMap result {};
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result.insert({ 0, new QCPColorMap { plot.xAxis, plot.yAxis } });
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result.insert({ 0, new QCPColorMap { plot.xAxis, plot.yAxis } });
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plot.replot();
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plot.replot();
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return result;
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return result;
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}
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}
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};
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};
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/**
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/**
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* Struct used to update plottables, depending on the type of the data series from which to update
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* Struct used to update plottables, depending on the type of the data series from which to update
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* them
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* them
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* @tparam T the data series' type
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* @tparam T the data series' type
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* @remarks Default implementation can't update plottables
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* @remarks Default implementation can't update plottables
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*/
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*/
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template <typename T, typename Enabled = void>
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template <typename T, typename Enabled = void>
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struct PlottablesUpdater
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struct PlottablesUpdater
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{
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{
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static void setPlotYAxisRange(T&, const DateTimeRange&, QCustomPlot&)
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static void setPlotYAxisRange(T&, const DateTimeRange&, QCustomPlot&)
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{
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{
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qCCritical(LOG_VisualizationGraphHelper())
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qCCritical(LOG_VisualizationGraphHelper())
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<< QObject::tr("Can't set plot y-axis range: unmanaged data series type");
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<< QObject::tr("Can't set plot y-axis range: unmanaged data series type");
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}
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}
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static void updatePlottables(T&, PlottablesMap&, const DateTimeRange&, bool)
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static void updatePlottables(T&, PlottablesMap&, const DateTimeRange&, bool)
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{
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{
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qCCritical(LOG_VisualizationGraphHelper())
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qCCritical(LOG_VisualizationGraphHelper())
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<< QObject::tr("Can't update plottables: unmanaged data series type");
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<< QObject::tr("Can't update plottables: unmanaged data series type");
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}
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}
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};
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};
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/**
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/**
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* Specialization of PlottablesUpdater for scalars and vectors
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* Specialization of PlottablesUpdater for scalars and vectors
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* @sa ScalarSeries
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* @sa ScalarSeries
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* @sa VectorSeries
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* @sa VectorSeries
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*/
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*/
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template <typename T>
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template <typename T>
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struct PlottablesUpdater<T, typename std::enable_if_t<std::is_base_of<ScalarTimeSerie, T>::value>>
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struct PlottablesUpdater<T, typename std::enable_if_t<std::is_base_of<ScalarTimeSerie, T>::value>>
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{
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{
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static void setPlotYAxisRange(T& dataSeries, const DateTimeRange& xAxisRange, QCustomPlot& plot)
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static void setPlotYAxisRange(T& dataSeries, const DateTimeRange& xAxisRange, QCustomPlot& plot)
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{
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{
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auto minValue = 0., maxValue = 0.;
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auto minValue = 0., maxValue = 0.;
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if (auto serie = dynamic_cast<ScalarTimeSerie*>(&dataSeries))
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if (auto serie = dynamic_cast<ScalarTimeSerie*>(&dataSeries))
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{
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{
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if (serie->size())
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if (serie->size())
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{
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{
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maxValue = (*std::max_element(std::begin(*serie), std::end(*serie))).v();
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maxValue = (*std::max_element(std::begin(*serie), std::end(*serie))).v();
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minValue = (*std::min_element(std::begin(*serie), std::end(*serie))).v();
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minValue = (*std::min_element(std::begin(*serie), std::end(*serie))).v();
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}
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}
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}
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}
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plot.yAxis->setRange(QCPRange { minValue, maxValue });
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plot.yAxis->setRange(QCPRange { minValue, maxValue });
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}
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}
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static void updatePlottables(
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static void updatePlottables(
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T& dataSeries, PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes)
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T& dataSeries, PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes)
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{
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{
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// For each plottable to update, resets its data
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// For each plottable to update, resets its data
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for (const auto& plottable : plottables)
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for (const auto& plottable : plottables)
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{
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{
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if (auto graph = dynamic_cast<QCPGraph*>(plottable.second))
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if (auto graph = dynamic_cast<QCPGraph*>(plottable.second))
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{
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{
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auto dataContainer = QSharedPointer<SqpDataContainer>::create();
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auto dataContainer = QSharedPointer<SqpDataContainer>::create();
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if (auto serie = dynamic_cast<ScalarTimeSerie*>(&dataSeries))
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if (auto serie = dynamic_cast<ScalarTimeSerie*>(&dataSeries))
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{
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{
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std::for_each(
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std::for_each(
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std::begin(*serie), std::end(*serie), [&dataContainer](const auto& value) {
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std::begin(*serie), std::end(*serie), [&dataContainer](const auto& value) {
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dataContainer->appendGraphData(QCPGraphData(value.t(), value.v()));
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dataContainer->appendGraphData(QCPGraphData(value.t(), value.v()));
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});
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});
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}
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}
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graph->setData(dataContainer);
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graph->setData(dataContainer);
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}
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}
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}
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}
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if (!plottables.empty())
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if (!plottables.empty())
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{
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{
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auto plot = plottables.begin()->second->parentPlot();
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auto plot = plottables.begin()->second->parentPlot();
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if (rescaleAxes)
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if (rescaleAxes)
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{
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{
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plot->rescaleAxes();
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plot->rescaleAxes();
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}
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}
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}
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}
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}
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}
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};
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};
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template <typename T>
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template <typename T>
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struct PlottablesUpdater<T, typename std::enable_if_t<std::is_base_of<VectorTimeSerie, T>::value>>
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struct PlottablesUpdater<T, typename std::enable_if_t<std::is_base_of<VectorTimeSerie, T>::value>>
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195
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{
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{
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static void setPlotYAxisRange(T& dataSeries, const DateTimeRange& xAxisRange, QCustomPlot& plot)
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static void setPlotYAxisRange(T& dataSeries, const DateTimeRange& xAxisRange, QCustomPlot& plot)
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{
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{
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double minValue = 0., maxValue = 0.;
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double minValue = 0., maxValue = 0.;
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if (auto serie = dynamic_cast<VectorTimeSerie*>(&dataSeries))
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if (auto serie = dynamic_cast<VectorTimeSerie*>(&dataSeries))
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{
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{
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std::for_each(
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std::for_each(
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std::begin(*serie), std::end(*serie), [&minValue, &maxValue](const auto& v) {
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std::begin(*serie), std::end(*serie), [&minValue, &maxValue](const auto& v) {
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minValue = std::min({ minValue, v.v().x, v.v().y, v.v().z });
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minValue = std::min({ minValue, v.v().x, v.v().y, v.v().z });
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maxValue = std::max({ maxValue, v.v().x, v.v().y, v.v().z });
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maxValue = std::max({ maxValue, v.v().x, v.v().y, v.v().z });
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});
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});
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}
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}
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plot.yAxis->setRange(QCPRange { minValue, maxValue });
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plot.yAxis->setRange(QCPRange { minValue, maxValue });
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}
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}
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static void updatePlottables(
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static void updatePlottables(
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T& dataSeries, PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes)
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T& dataSeries, PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes)
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{
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{
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214
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214
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// For each plottable to update, resets its data
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// For each plottable to update, resets its data
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for (const auto& plottable : plottables)
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for (const auto& plottable : plottables)
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{
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217
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{
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if (auto graph = dynamic_cast<QCPGraph*>(plottable.second))
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if (auto graph = dynamic_cast<QCPGraph*>(plottable.second))
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{
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{
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auto dataContainer = QSharedPointer<SqpDataContainer>::create();
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auto dataContainer = QSharedPointer<SqpDataContainer>::create();
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if (auto serie = dynamic_cast<VectorTimeSerie*>(&dataSeries))
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if (auto serie = dynamic_cast<VectorTimeSerie*>(&dataSeries))
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{
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{
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switch (plottable.first)
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switch (plottable.first)
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{
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{
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case 0:
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case 0:
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std::for_each(std::begin(*serie), std::end(*serie),
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std::for_each(std::begin(*serie), std::end(*serie),
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[&dataContainer](const auto& value) {
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[&dataContainer](const auto& value) {
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dataContainer->appendGraphData(
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dataContainer->appendGraphData(
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QCPGraphData(value.t(), value.v().x));
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QCPGraphData(value.t(), value.v().x));
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});
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});
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break;
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break;
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case 1:
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case 1:
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std::for_each(std::begin(*serie), std::end(*serie),
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std::for_each(std::begin(*serie), std::end(*serie),
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234
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[&dataContainer](const auto& value) {
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234
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[&dataContainer](const auto& value) {
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dataContainer->appendGraphData(
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dataContainer->appendGraphData(
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QCPGraphData(value.t(), value.v().y));
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QCPGraphData(value.t(), value.v().y));
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});
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});
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break;
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break;
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case 2:
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case 2:
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std::for_each(std::begin(*serie), std::end(*serie),
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std::for_each(std::begin(*serie), std::end(*serie),
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[&dataContainer](const auto& value) {
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241
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[&dataContainer](const auto& value) {
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dataContainer->appendGraphData(
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dataContainer->appendGraphData(
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243
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QCPGraphData(value.t(), value.v().z));
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QCPGraphData(value.t(), value.v().z));
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244
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});
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244
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});
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245
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break;
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245
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break;
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246
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default:
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246
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default:
|
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247
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break;
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247
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break;
|
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248
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}
|
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248
|
}
|
|
249
|
}
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249
|
}
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250
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graph->setData(dataContainer);
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250
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graph->setData(dataContainer);
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251
|
}
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251
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}
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252
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}
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252
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}
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253
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253
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254
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if (!plottables.empty())
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254
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if (!plottables.empty())
|
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255
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{
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255
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{
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256
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auto plot = plottables.begin()->second->parentPlot();
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256
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auto plot = plottables.begin()->second->parentPlot();
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257
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257
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258
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if (rescaleAxes)
|
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258
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if (rescaleAxes)
|
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259
|
{
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259
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{
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260
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plot->rescaleAxes();
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260
|
plot->rescaleAxes();
|
|
261
|
}
|
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261
|
}
|
|
262
|
}
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|
262
|
}
|
|
263
|
}
|
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263
|
}
|
|
264
|
};
|
|
264
|
};
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265
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265
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266
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266
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|
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267
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template <typename T>
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267
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template <typename T>
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268
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struct PlottablesUpdater<T,
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268
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struct PlottablesUpdater<T,
|
|
269
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typename std::enable_if_t<std::is_base_of<MultiComponentTimeSerie, T>::value>>
|
|
269
|
typename std::enable_if_t<std::is_base_of<MultiComponentTimeSerie, T>::value>>
|
|
270
|
{
|
|
270
|
{
|
|
271
|
static void setPlotYAxisRange(T& dataSeries, const DateTimeRange& xAxisRange, QCustomPlot& plot)
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271
|
static void setPlotYAxisRange(T& dataSeries, const DateTimeRange& xAxisRange, QCustomPlot& plot)
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|
272
|
{
|
|
272
|
{
|
|
273
|
double minValue = 0., maxValue = 0.;
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273
|
double minValue = 0., maxValue = 0.;
|
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274
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if (auto serie = dynamic_cast<MultiComponentTimeSerie*>(&dataSeries))
|
|
274
|
if (auto serie = dynamic_cast<MultiComponentTimeSerie*>(&dataSeries))
|
|
275
|
{
|
|
275
|
{
|
|
276
|
std::for_each(std::begin(*serie), std::end(*serie), [&minValue, &maxValue](auto& v) {
|
|
276
|
std::for_each(std::begin(*serie), std::end(*serie), [&minValue, &maxValue](auto& v) {
|
|
277
|
minValue = std::min(minValue, std::min_element(v.begin(), v.end())->v());
|
|
277
|
minValue = std::min(minValue, std::min_element(v.begin(), v.end())->v());
|
|
278
|
maxValue = std::max(maxValue, std::max_element(v.begin(), v.end())->v());
|
|
278
|
maxValue = std::max(maxValue, std::max_element(v.begin(), v.end())->v());
|
|
279
|
});
|
|
279
|
});
|
|
280
|
}
|
|
280
|
}
|
|
281
|
plot.yAxis->setRange(QCPRange { minValue, maxValue });
|
|
281
|
plot.yAxis->setRange(QCPRange { minValue, maxValue });
|
|
282
|
}
|
|
282
|
}
|
|
283
|
|
|
283
|
|
|
284
|
static void updatePlottables(
|
|
284
|
static void updatePlottables(
|
|
285
|
T& dataSeries, PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes)
|
|
285
|
T& dataSeries, PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes)
|
|
286
|
{
|
|
286
|
{
|
|
287
|
for (const auto& plottable : plottables)
|
|
287
|
for (const auto& plottable : plottables)
|
|
288
|
{
|
|
288
|
{
|
|
289
|
if (auto graph = dynamic_cast<QCPGraph*>(plottable.second))
|
|
289
|
if (auto graph = dynamic_cast<QCPGraph*>(plottable.second))
|
|
290
|
{
|
|
290
|
{
|
|
291
|
auto dataContainer = QSharedPointer<SqpDataContainer>::create();
|
|
291
|
auto dataContainer = QSharedPointer<SqpDataContainer>::create();
|
|
292
|
if (auto serie = dynamic_cast<MultiComponentTimeSerie*>(&dataSeries))
|
|
292
|
if (auto serie = dynamic_cast<MultiComponentTimeSerie*>(&dataSeries))
|
|
293
|
{
|
|
293
|
{
|
|
294
|
// TODO
|
|
294
|
// TODO
|
|
295
|
std::for_each(std::begin(*serie), std::end(*serie),
|
|
295
|
std::for_each(std::begin(*serie), std::end(*serie),
|
|
296
|
[&dataContainer, component = plottable.first](const auto& value) {
|
|
296
|
[&dataContainer, component = plottable.first](const auto& value) {
|
|
297
|
dataContainer->appendGraphData(
|
|
297
|
dataContainer->appendGraphData(
|
|
298
|
QCPGraphData(value.t(), value[component]));
|
|
298
|
QCPGraphData(value.t(), value[component]));
|
|
299
|
});
|
|
299
|
});
|
|
300
|
}
|
|
300
|
}
|
|
301
|
graph->setData(dataContainer);
|
|
301
|
graph->setData(dataContainer);
|
|
302
|
}
|
|
302
|
}
|
|
303
|
}
|
|
303
|
}
|
|
304
|
|
|
304
|
|
|
305
|
if (!plottables.empty())
|
|
305
|
if (!plottables.empty())
|
|
306
|
{
|
|
306
|
{
|
|
307
|
auto plot = plottables.begin()->second->parentPlot();
|
|
307
|
auto plot = plottables.begin()->second->parentPlot();
|
|
308
|
|
|
308
|
|
|
309
|
if (rescaleAxes)
|
|
309
|
if (rescaleAxes)
|
|
310
|
{
|
|
310
|
{
|
|
311
|
plot->rescaleAxes();
|
|
311
|
plot->rescaleAxes();
|
|
312
|
}
|
|
312
|
}
|
|
313
|
}
|
|
313
|
}
|
|
314
|
}
|
|
314
|
}
|
|
315
|
};
|
|
315
|
};
|
|
316
|
|
|
316
|
|
|
317
|
/*=============================================================*/
|
|
317
|
/*=============================================================*/
|
|
318
|
// TODO move this to dedicated srcs
|
|
318
|
// TODO move this to dedicated srcs
|
|
319
|
/*=============================================================*/
|
|
319
|
/*=============================================================*/
|
|
320
|
struct ColomapProperties
|
|
320
|
struct ColomapProperties
|
|
321
|
{
|
|
321
|
{
|
|
322
|
int h_size_px;
|
|
322
|
int h_size_px;
|
|
323
|
int v_size_px;
|
|
323
|
int v_size_px;
|
|
324
|
double h_resolutuon;
|
|
324
|
double h_resolutuon;
|
|
325
|
double v_resolutuon;
|
|
325
|
double v_resolutuon;
|
|
326
|
};
|
|
326
|
};
|
|
327
|
|
|
327
|
|
|
328
|
inline ColomapProperties CMAxisAnalysis(const TimeSeriesUtils::axis_properties& xAxisProperties,
|
|
328
|
inline ColomapProperties CMAxisAnalysis(const TimeSeriesUtils::axis_properties& xAxisProperties,
|
|
329
|
const TimeSeriesUtils::axis_properties& yAxisProperties)
|
|
329
|
const TimeSeriesUtils::axis_properties& yAxisProperties)
|
|
330
|
{
|
|
330
|
{
|
|
331
|
int colormap_h_size
|
|
331
|
int colormap_h_size
|
|
332
|
= std::min(32000, static_cast<int>(xAxisProperties.range / xAxisProperties.max_resolution));
|
|
332
|
= std::min(32000, static_cast<int>(xAxisProperties.range / xAxisProperties.max_resolution));
|
|
333
|
int colormap_v_size = static_cast<int>(yAxisProperties.range / yAxisProperties.max_resolution);
|
|
333
|
int colormap_v_size = static_cast<int>(yAxisProperties.range / yAxisProperties.max_resolution);
|
|
334
|
double colormap_h_resolution = xAxisProperties.range / static_cast<double>(colormap_h_size);
|
|
334
|
double colormap_h_resolution = xAxisProperties.range / static_cast<double>(colormap_h_size);
|
|
335
|
double colormap_v_resolution = yAxisProperties.range / static_cast<double>(colormap_v_size);
|
|
335
|
double colormap_v_resolution = yAxisProperties.range / static_cast<double>(colormap_v_size);
|
|
336
|
return ColomapProperties { colormap_h_size, colormap_v_size, colormap_h_resolution,
|
|
336
|
return ColomapProperties { colormap_h_size, colormap_v_size, colormap_h_resolution,
|
|
337
|
colormap_v_resolution };
|
|
337
|
colormap_v_resolution };
|
|
338
|
}
|
|
338
|
}
|
|
339
|
|
|
339
|
|
|
|
|
|
340
|
|
|
|
|
|
341
|
template <bool condition, typename T, typename U>
|
|
|
|
|
342
|
std::enable_if_t<condition, T> constexpr conditional_v(T first, U second)
|
|
|
|
|
343
|
{
|
|
|
|
|
344
|
return first;
|
|
|
|
|
345
|
}
|
|
|
|
|
346
|
|
|
|
|
|
347
|
template <bool condition, typename T, typename U>
|
|
|
|
|
348
|
std::enable_if_t<!condition, U> constexpr conditional_v(T first, U second)
|
|
|
|
|
349
|
{
|
|
|
|
|
350
|
return second;
|
|
|
|
|
351
|
}
|
|
|
|
|
352
|
|
|
|
|
|
353
|
template <bool reversedAxis = true, bool reversedData = true>
|
|
340
|
inline std::vector<std::pair<int, int>> build_access_pattern(const std::vector<double>& axis,
|
|
354
|
inline std::vector<std::pair<int, int>> build_access_pattern(const std::vector<double>& axis,
|
|
341
|
const TimeSeriesUtils::axis_properties& axisProperties,
|
|
355
|
const TimeSeriesUtils::axis_properties& axisProperties,
|
|
342
|
const ColomapProperties& colormap_properties)
|
|
356
|
const ColomapProperties& colormap_properties)
|
|
343
|
{
|
|
357
|
{
|
|
344
|
std::vector<std::pair<int, int>> access_pattern;
|
|
358
|
std::vector<std::pair<int, int>> access_pattern;
|
|
345
|
for (int index = 0, cel_index = axis.size() - 1; index < colormap_properties.v_size_px; index++)
|
|
359
|
for (int index = 0, axis_index = conditional_v<reversedAxis>(axis.size() - 1, 0),
|
|
|
|
|
360
|
data_index = conditional_v<reversedData>(axis.size() - 1, 0);
|
|
|
|
|
361
|
index < colormap_properties.v_size_px; index++)
|
|
346
|
{
|
|
362
|
{
|
|
347
|
double current_y = pow(10., (axisProperties.max_resolution * index) + axisProperties.min);
|
|
363
|
double current_y = (axisProperties.max_resolution * index) + axisProperties.min;
|
|
348
|
if (current_y > axis[cel_index])
|
|
364
|
if (current_y > axis[axis_index])
|
|
349
|
cel_index--;
|
|
365
|
{
|
|
350
|
access_pattern.push_back({ index, cel_index });
|
|
366
|
conditional_v<reversedAxis>(
|
|
|
|
|
367
|
[&axis_index]() { axis_index--; }, [&axis_index]() { axis_index++; })();
|
|
|
|
|
368
|
conditional_v<reversedData>(
|
|
|
|
|
369
|
[&data_index]() { data_index--; }, [&data_index]() { data_index++; })();
|
|
|
|
|
370
|
}
|
|
|
|
|
371
|
access_pattern.push_back({ index, data_index });
|
|
351
|
}
|
|
372
|
}
|
|
352
|
return access_pattern;
|
|
373
|
return access_pattern;
|
|
353
|
}
|
|
374
|
}
|
|
354
|
|
|
375
|
|
|
|
|
|
376
|
inline bool is_log(const std::vector<double>& axis)
|
|
|
|
|
377
|
{
|
|
|
|
|
378
|
if (axis.size() > 2)
|
|
|
|
|
379
|
{
|
|
|
|
|
380
|
auto first = axis.front(), midle = axis[axis.size() / 2], last = axis.back();
|
|
|
|
|
381
|
auto error_linear = (midle - (last + first) / 2) / midle;
|
|
|
|
|
382
|
first = log10(first);
|
|
|
|
|
383
|
midle = log10(midle);
|
|
|
|
|
384
|
last = log10(last);
|
|
|
|
|
385
|
auto error_log = (midle - (last + first) / 2) / midle;
|
|
|
|
|
386
|
return error_log < error_linear;
|
|
|
|
|
387
|
}
|
|
|
|
|
388
|
return false;
|
|
|
|
|
389
|
}
|
|
|
|
|
390
|
|
|
|
|
|
391
|
template <typename accessPattern_t, typename colomapT, typename axProp_t, typename cmProp_t>
|
|
|
|
|
392
|
inline void fill_data(SpectrogramTimeSerie* serie, colomapT* colormap,
|
|
|
|
|
393
|
const accessPattern_t& y_access_pattern, const axProp_t& xAxisProperties,
|
|
|
|
|
394
|
const cmProp_t& colormap_properties)
|
|
|
|
|
395
|
{
|
|
|
|
|
396
|
auto line = serie->begin();
|
|
|
|
|
397
|
auto next_line = line + 1;
|
|
|
|
|
398
|
double current_time = xAxisProperties.min;
|
|
|
|
|
399
|
int x_index = 0;
|
|
|
|
|
400
|
auto x_min_resolution
|
|
|
|
|
401
|
= std::fmin(2. * serie->max_sampling, xAxisProperties.max_resolution * 100.);
|
|
|
|
|
402
|
std::vector<double> line_values(serie->size(1));
|
|
|
|
|
403
|
double avg_coef = 0.;
|
|
|
|
|
404
|
while (x_index < colormap_properties.h_size_px)
|
|
|
|
|
405
|
{
|
|
|
|
|
406
|
if (next_line != std::end(*serie) and current_time >= next_line->t())
|
|
|
|
|
407
|
{
|
|
|
|
|
408
|
line = next_line;
|
|
|
|
|
409
|
next_line++;
|
|
|
|
|
410
|
}
|
|
|
|
|
411
|
if ((current_time - xAxisProperties.min)
|
|
|
|
|
412
|
> (static_cast<double>(x_index + 1) * colormap_properties.h_resolutuon))
|
|
|
|
|
413
|
{
|
|
|
|
|
414
|
std::for_each(std::cbegin(y_access_pattern), std::cend(y_access_pattern),
|
|
|
|
|
415
|
[&colormap, &line_values, x_index, avg_coef](const auto& acc) {
|
|
|
|
|
416
|
colormap->data()->setCell(
|
|
|
|
|
417
|
x_index, acc.first, line_values[acc.second] / avg_coef);
|
|
|
|
|
418
|
});
|
|
|
|
|
419
|
std::fill(std::begin(line_values), std::end(line_values), 0.);
|
|
|
|
|
420
|
x_index++;
|
|
|
|
|
421
|
avg_coef = 0.;
|
|
|
|
|
422
|
}
|
|
|
|
|
423
|
if (line->t() + x_min_resolution > current_time)
|
|
|
|
|
424
|
{
|
|
|
|
|
425
|
{
|
|
|
|
|
426
|
std::transform(std::begin(*line), std::end(*line), std::cbegin(line_values),
|
|
|
|
|
427
|
std::begin(line_values),
|
|
|
|
|
428
|
[](const auto& input, auto output) { return input.v() + output; });
|
|
|
|
|
429
|
}
|
|
|
|
|
430
|
avg_coef += 1.;
|
|
|
|
|
431
|
}
|
|
|
|
|
432
|
else
|
|
|
|
|
433
|
{
|
|
|
|
|
434
|
for (int y_index = 0; y_index < colormap_properties.v_size_px; y_index++)
|
|
|
|
|
435
|
{
|
|
|
|
|
436
|
if (avg_coef > 0.)
|
|
|
|
|
437
|
{
|
|
|
|
|
438
|
std::fill(std::begin(line_values), std::end(line_values), 0);
|
|
|
|
|
439
|
}
|
|
|
|
|
440
|
}
|
|
|
|
|
441
|
}
|
|
|
|
|
442
|
current_time += xAxisProperties.max_resolution * 0.9;
|
|
|
|
|
443
|
}
|
|
|
|
|
444
|
}
|
|
|
|
|
445
|
|
|
355
|
/*=============================================================*/
|
|
446
|
/*=============================================================*/
|
|
356
|
|
|
447
|
|
|
357
|
/**
|
|
448
|
/**
|
|
358
|
* Specialization of PlottablesUpdater for spectrograms
|
|
449
|
* Specialization of PlottablesUpdater for spectrograms
|
|
359
|
* @sa SpectrogramSeries
|
|
450
|
* @sa SpectrogramSeries
|
|
360
|
*/
|
|
451
|
*/
|
|
361
|
template <typename T>
|
|
452
|
template <typename T>
|
|
362
|
struct PlottablesUpdater<T,
|
|
453
|
struct PlottablesUpdater<T,
|
|
363
|
typename std::enable_if_t<std::is_base_of<SpectrogramTimeSerie, T>::value>>
|
|
454
|
typename std::enable_if_t<std::is_base_of<SpectrogramTimeSerie, T>::value>>
|
|
364
|
{
|
|
455
|
{
|
|
365
|
static void setPlotYAxisRange(T& dataSeries, const DateTimeRange& xAxisRange, QCustomPlot& plot)
|
|
456
|
static void setPlotYAxisRange(T& dataSeries, const DateTimeRange& xAxisRange, QCustomPlot& plot)
|
|
366
|
{
|
|
457
|
{
|
|
367
|
auto [minValue, maxValue] = dataSeries.axis_range(1);
|
|
458
|
auto [minValue, maxValue] = dataSeries.axis_range(1);
|
|
368
|
std::cout << "min=" << minValue << " max=" << maxValue << std::endl;
|
|
|
|
|
369
|
plot.yAxis->setRange(QCPRange { minValue, maxValue });
|
|
459
|
plot.yAxis->setRange(QCPRange { minValue, maxValue });
|
|
370
|
}
|
|
460
|
}
|
|
371
|
|
|
461
|
|
|
372
|
static void updatePlottables(
|
|
462
|
static void updatePlottables(
|
|
373
|
T& dataSeries, PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes)
|
|
463
|
T& dataSeries, PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes)
|
|
374
|
{
|
|
464
|
{
|
|
375
|
if (plottables.empty())
|
|
465
|
if (plottables.empty())
|
|
376
|
{
|
|
466
|
{
|
|
377
|
qCDebug(LOG_VisualizationGraphHelper())
|
|
467
|
qCDebug(LOG_VisualizationGraphHelper())
|
|
378
|
<< QObject::tr("Can't update spectrogram: no colormap has been associated");
|
|
468
|
<< QObject::tr("Can't update spectrogram: no colormap has been associated");
|
|
379
|
return;
|
|
469
|
return;
|
|
380
|
}
|
|
470
|
}
|
|
381
|
|
|
471
|
|
|
382
|
// Gets the colormap to update (normally there is only one colormap)
|
|
472
|
// Gets the colormap to update (normally there is only one colormap)
|
|
383
|
Q_ASSERT(plottables.size() == 1);
|
|
473
|
Q_ASSERT(plottables.size() == 1);
|
|
384
|
auto colormap = dynamic_cast<QCPColorMap*>(plottables.at(0));
|
|
474
|
auto colormap = dynamic_cast<QCPColorMap*>(plottables.at(0));
|
|
385
|
Q_ASSERT(colormap != nullptr);
|
|
475
|
Q_ASSERT(colormap != nullptr);
|
|
386
|
auto plot = colormap->parentPlot();
|
|
476
|
auto plot = colormap->parentPlot();
|
|
387
|
auto [minValue, maxValue] = dataSeries.axis_range(1);
|
|
477
|
auto [minValue, maxValue] = dataSeries.axis_range(1);
|
|
388
|
plot->yAxis->setRange(QCPRange { minValue, maxValue });
|
|
478
|
plot->yAxis->setRange(QCPRange { minValue, maxValue });
|
|
389
|
if (auto serie = dynamic_cast<SpectrogramTimeSerie*>(&dataSeries))
|
|
479
|
if (auto serie = dynamic_cast<SpectrogramTimeSerie*>(&dataSeries))
|
|
390
|
{
|
|
480
|
{
|
|
391
|
if (serie->size(0) > 2)
|
|
481
|
if (serie->size(0) > 2)
|
|
392
|
{
|
|
482
|
{
|
|
|
|
|
483
|
if (serie->y_is_log)
|
|
|
|
|
484
|
colormap->setDataScaleType(QCPAxis::stLogarithmic);
|
|
|
|
|
485
|
else
|
|
|
|
|
486
|
colormap->setDataScaleType(QCPAxis::stLinear);
|
|
393
|
const auto& xAxis = serie->axis(0);
|
|
487
|
const auto& xAxis = serie->axis(0);
|
|
394
|
auto yAxis = serie->axis(1); // copy for in place reverse order
|
|
488
|
auto yAxis = serie->axis(1); // copy for in place reverse order
|
|
|
|
|
489
|
auto y_is_log = is_log(yAxis);
|
|
395
|
std::reverse(std::begin(yAxis), std::end(yAxis));
|
|
490
|
std::reverse(std::begin(yAxis), std::end(yAxis));
|
|
396
|
auto xAxisProperties = TimeSeriesUtils::axis_analysis<TimeSeriesUtils::IsLinear,
|
|
491
|
auto xAxisProperties = TimeSeriesUtils::axis_analysis<TimeSeriesUtils::IsLinear,
|
|
397
|
TimeSeriesUtils::CheckMedian>(xAxis, serie->min_sampling);
|
|
492
|
TimeSeriesUtils::CheckMedian>(xAxis, serie->min_sampling);
|
|
398
|
auto yAxisProperties = TimeSeriesUtils::axis_analysis<TimeSeriesUtils::IsLog,
|
|
493
|
auto yAxisProperties = TimeSeriesUtils::axis_analysis<TimeSeriesUtils::IsLog,
|
|
399
|
TimeSeriesUtils::DontCheckMedian>(yAxis);
|
|
494
|
TimeSeriesUtils::DontCheckMedian>(yAxis);
|
|
400
|
auto colormap_properties = CMAxisAnalysis(xAxisProperties, yAxisProperties);
|
|
495
|
auto colormap_properties = CMAxisAnalysis(xAxisProperties, yAxisProperties);
|
|
401
|
|
|
496
|
|
|
402
|
colormap->data()->setSize(
|
|
497
|
colormap->data()->setSize(
|
|
403
|
colormap_properties.h_size_px, colormap_properties.v_size_px);
|
|
498
|
colormap_properties.h_size_px, colormap_properties.v_size_px);
|
|
404
|
colormap->data()->setRange(
|
|
499
|
colormap->data()->setRange(
|
|
405
|
QCPRange { xAxisProperties.min, xAxisProperties.max }, { minValue, maxValue });
|
|
500
|
QCPRange { xAxisProperties.min, xAxisProperties.max }, { minValue, maxValue });
|
|
406
|
|
|
501
|
|
|
407
|
auto y_access_pattern
|
|
502
|
auto y_access_pattern = build_access_pattern<false, true>(
|
|
408
|
= build_access_pattern(serie->axis(1), yAxisProperties, colormap_properties);
|
|
503
|
yAxis, yAxisProperties, colormap_properties);
|
|
409
|
|
|
504
|
fill_data(serie, colormap, y_access_pattern, xAxisProperties, colormap_properties);
|
|
410
|
auto line = serie->begin();
|
|
|
|
|
411
|
auto next_line = line + 1;
|
|
|
|
|
412
|
double current_time = xAxisProperties.min;
|
|
|
|
|
413
|
int x_index = 0;
|
|
|
|
|
414
|
auto x_min_resolution
|
|
|
|
|
415
|
= std::fmin(2. * serie->max_sampling, xAxisProperties.max_resolution * 100.);
|
|
|
|
|
416
|
std::vector<double> line_values(serie->size(1));
|
|
|
|
|
417
|
double avg_coef = 0.;
|
|
|
|
|
418
|
while (x_index < colormap_properties.h_size_px)
|
|
|
|
|
419
|
{
|
|
|
|
|
420
|
if (next_line != std::end(*serie) and current_time >= next_line->t())
|
|
|
|
|
421
|
{
|
|
|
|
|
422
|
line = next_line;
|
|
|
|
|
423
|
next_line++;
|
|
|
|
|
424
|
}
|
|
|
|
|
425
|
if ((current_time - xAxisProperties.min)
|
|
|
|
|
426
|
> (static_cast<double>(x_index + 1) * colormap_properties.h_resolutuon))
|
|
|
|
|
427
|
{
|
|
|
|
|
428
|
std::for_each(std::cbegin(y_access_pattern), std::cend(y_access_pattern),
|
|
|
|
|
429
|
[&colormap, &line_values, x_index, avg_coef](const auto& acc) {
|
|
|
|
|
430
|
colormap->data()->setCell(
|
|
|
|
|
431
|
x_index, acc.first, line_values[acc.second] / avg_coef);
|
|
|
|
|
432
|
});
|
|
|
|
|
433
|
std::fill(std::begin(line_values), std::end(line_values), 0.);
|
|
|
|
|
434
|
x_index++;
|
|
|
|
|
435
|
avg_coef = 0.;
|
|
|
|
|
436
|
}
|
|
|
|
|
437
|
if (line->t() + x_min_resolution > current_time)
|
|
|
|
|
438
|
{
|
|
|
|
|
439
|
{
|
|
|
|
|
440
|
std::transform(std::begin(*line), std::end(*line),
|
|
|
|
|
441
|
std::cbegin(line_values), std::begin(line_values),
|
|
|
|
|
442
|
[](const auto& input, auto output) { return input.v() + output; });
|
|
|
|
|
443
|
}
|
|
|
|
|
444
|
avg_coef += 1.;
|
|
|
|
|
445
|
}
|
|
|
|
|
446
|
else
|
|
|
|
|
447
|
{
|
|
|
|
|
448
|
for (int y_index = 0; y_index < colormap_properties.v_size_px; y_index++)
|
|
|
|
|
449
|
{
|
|
|
|
|
450
|
if (avg_coef > 0.)
|
|
|
|
|
451
|
{
|
|
|
|
|
452
|
std::fill(std::begin(line_values), std::end(line_values), 0);
|
|
|
|
|
453
|
}
|
|
|
|
|
454
|
}
|
|
|
|
|
455
|
}
|
|
|
|
|
456
|
current_time += xAxisProperties.max_resolution * 0.9;
|
|
|
|
|
457
|
}
|
|
|
|
|
458
|
}
|
|
505
|
}
|
|
459
|
colormap->rescaleDataRange(true);
|
|
506
|
colormap->rescaleDataRange(true);
|
|
460
|
if (rescaleAxes)
|
|
507
|
if (rescaleAxes)
|
|
461
|
{
|
|
508
|
{
|
|
462
|
plot->rescaleAxes();
|
|
509
|
plot->rescaleAxes();
|
|
463
|
}
|
|
510
|
}
|
|
464
|
}
|
|
511
|
}
|
|
465
|
}
|
|
512
|
}
|
|
466
|
};
|
|
513
|
};
|
|
467
|
|
|
514
|
|
|
468
|
/**
|
|
515
|
/**
|
|
469
|
* Helper used to create/update plottables
|
|
516
|
* Helper used to create/update plottables
|
|
470
|
*/
|
|
517
|
*/
|
|
471
|
struct IPlottablesHelper
|
|
518
|
struct IPlottablesHelper
|
|
472
|
{
|
|
519
|
{
|
|
473
|
virtual ~IPlottablesHelper() noexcept = default;
|
|
520
|
virtual ~IPlottablesHelper() noexcept = default;
|
|
474
|
virtual PlottablesMap create(QCustomPlot& plot) const = 0;
|
|
521
|
virtual PlottablesMap create(QCustomPlot& plot) const = 0;
|
|
475
|
virtual void setYAxisRange(const DateTimeRange& xAxisRange, QCustomPlot& plot) const = 0;
|
|
522
|
virtual void setYAxisRange(const DateTimeRange& xAxisRange, QCustomPlot& plot) const = 0;
|
|
476
|
virtual void update(
|
|
523
|
virtual void update(
|
|
477
|
PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes = false) const = 0;
|
|
524
|
PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes = false) const = 0;
|
|
478
|
};
|
|
525
|
};
|
|
479
|
|
|
526
|
|
|
480
|
/**
|
|
527
|
/**
|
|
481
|
* Default implementation of IPlottablesHelper, which takes data series to create/update
|
|
528
|
* Default implementation of IPlottablesHelper, which takes data series to create/update
|
|
482
|
* plottables
|
|
529
|
* plottables
|
|
483
|
* @tparam T the data series' type
|
|
530
|
* @tparam T the data series' type
|
|
484
|
*/
|
|
531
|
*/
|
|
485
|
template <typename T>
|
|
532
|
template <typename T>
|
|
486
|
struct PlottablesHelper : public IPlottablesHelper
|
|
533
|
struct PlottablesHelper : public IPlottablesHelper
|
|
487
|
{
|
|
534
|
{
|
|
488
|
explicit PlottablesHelper(std::shared_ptr<T> dataSeries) : m_DataSeries { dataSeries } {}
|
|
535
|
explicit PlottablesHelper(std::shared_ptr<T> dataSeries) : m_DataSeries { dataSeries } {}
|
|
489
|
|
|
536
|
|
|
490
|
PlottablesMap create(QCustomPlot& plot) const override
|
|
537
|
PlottablesMap create(QCustomPlot& plot) const override
|
|
491
|
{
|
|
538
|
{
|
|
492
|
return PlottablesCreator<T>::createPlottables(plot, m_DataSeries);
|
|
539
|
return PlottablesCreator<T>::createPlottables(plot, m_DataSeries);
|
|
493
|
}
|
|
540
|
}
|
|
494
|
|
|
541
|
|
|
495
|
void update(
|
|
542
|
void update(
|
|
496
|
PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes) const override
|
|
543
|
PlottablesMap& plottables, const DateTimeRange& range, bool rescaleAxes) const override
|
|
497
|
{
|
|
544
|
{
|
|
498
|
if (m_DataSeries)
|
|
545
|
if (m_DataSeries)
|
|
499
|
{
|
|
546
|
{
|
|
500
|
PlottablesUpdater<T>::updatePlottables(*m_DataSeries, plottables, range, rescaleAxes);
|
|
547
|
PlottablesUpdater<T>::updatePlottables(*m_DataSeries, plottables, range, rescaleAxes);
|
|
501
|
}
|
|
548
|
}
|
|
502
|
else
|
|
549
|
else
|
|
503
|
{
|
|
550
|
{
|
|
504
|
qCCritical(LOG_VisualizationGraphHelper()) << "Can't update plottables: inconsistency "
|
|
551
|
qCCritical(LOG_VisualizationGraphHelper()) << "Can't update plottables: inconsistency "
|
|
505
|
"between the type of data series and the "
|
|
552
|
"between the type of data series and the "
|
|
506
|
"type supposed";
|
|
553
|
"type supposed";
|
|
507
|
}
|
|
554
|
}
|
|
508
|
}
|
|
555
|
}
|
|
509
|
|
|
556
|
|
|
510
|
void setYAxisRange(const DateTimeRange& xAxisRange, QCustomPlot& plot) const override
|
|
557
|
void setYAxisRange(const DateTimeRange& xAxisRange, QCustomPlot& plot) const override
|
|
511
|
{
|
|
558
|
{
|
|
512
|
if (m_DataSeries)
|
|
559
|
if (m_DataSeries)
|
|
513
|
{
|
|
560
|
{
|
|
514
|
PlottablesUpdater<T>::setPlotYAxisRange(*m_DataSeries, xAxisRange, plot);
|
|
561
|
PlottablesUpdater<T>::setPlotYAxisRange(*m_DataSeries, xAxisRange, plot);
|
|
515
|
}
|
|
562
|
}
|
|
516
|
else
|
|
563
|
else
|
|
517
|
{
|
|
564
|
{
|
|
518
|
qCCritical(LOG_VisualizationGraphHelper()) << "Can't update plottables: inconsistency "
|
|
565
|
qCCritical(LOG_VisualizationGraphHelper()) << "Can't update plottables: inconsistency "
|
|
519
|
"between the type of data series and the "
|
|
566
|
"between the type of data series and the "
|
|
520
|
"type supposed";
|
|
567
|
"type supposed";
|
|
521
|
}
|
|
568
|
}
|
|
522
|
}
|
|
569
|
}
|
|
523
|
|
|
570
|
|
|
524
|
std::shared_ptr<T> m_DataSeries;
|
|
571
|
std::shared_ptr<T> m_DataSeries;
|
|
525
|
};
|
|
572
|
};
|
|
526
|
|
|
573
|
|
|
527
|
/// Creates IPlottablesHelper according to the type of data series a variable holds
|
|
574
|
/// Creates IPlottablesHelper according to the type of data series a variable holds
|
|
528
|
std::unique_ptr<IPlottablesHelper> createHelper(std::shared_ptr<Variable2> variable) noexcept
|
|
575
|
std::unique_ptr<IPlottablesHelper> createHelper(std::shared_ptr<Variable2> variable) noexcept
|
|
529
|
{
|
|
576
|
{
|
|
530
|
switch (variable->type())
|
|
577
|
switch (variable->type())
|
|
531
|
{
|
|
578
|
{
|
|
532
|
case DataSeriesType::SCALAR:
|
|
579
|
case DataSeriesType::SCALAR:
|
|
533
|
return std::make_unique<PlottablesHelper<ScalarTimeSerie>>(
|
|
580
|
return std::make_unique<PlottablesHelper<ScalarTimeSerie>>(
|
|
534
|
std::dynamic_pointer_cast<ScalarTimeSerie>(variable->data()));
|
|
581
|
std::dynamic_pointer_cast<ScalarTimeSerie>(variable->data()));
|
|
535
|
case DataSeriesType::SPECTROGRAM:
|
|
582
|
case DataSeriesType::SPECTROGRAM:
|
|
536
|
return std::make_unique<PlottablesHelper<SpectrogramTimeSerie>>(
|
|
583
|
return std::make_unique<PlottablesHelper<SpectrogramTimeSerie>>(
|
|
537
|
std::dynamic_pointer_cast<SpectrogramTimeSerie>(variable->data()));
|
|
584
|
std::dynamic_pointer_cast<SpectrogramTimeSerie>(variable->data()));
|
|
538
|
case DataSeriesType::VECTOR:
|
|
585
|
case DataSeriesType::VECTOR:
|
|
539
|
return std::make_unique<PlottablesHelper<VectorTimeSerie>>(
|
|
586
|
return std::make_unique<PlottablesHelper<VectorTimeSerie>>(
|
|
540
|
std::dynamic_pointer_cast<VectorTimeSerie>(variable->data()));
|
|
587
|
std::dynamic_pointer_cast<VectorTimeSerie>(variable->data()));
|
|
541
|
case DataSeriesType::MULTICOMPONENT:
|
|
588
|
case DataSeriesType::MULTICOMPONENT:
|
|
542
|
return std::make_unique<PlottablesHelper<MultiComponentTimeSerie>>(
|
|
589
|
return std::make_unique<PlottablesHelper<MultiComponentTimeSerie>>(
|
|
543
|
std::dynamic_pointer_cast<MultiComponentTimeSerie>(variable->data()));
|
|
590
|
std::dynamic_pointer_cast<MultiComponentTimeSerie>(variable->data()));
|
|
544
|
default:
|
|
591
|
default:
|
|
545
|
// Creates default helper
|
|
592
|
// Creates default helper
|
|
546
|
break;
|
|
593
|
break;
|
|
547
|
}
|
|
594
|
}
|
|
548
|
|
|
595
|
|
|
549
|
return std::make_unique<PlottablesHelper<TimeSeries::ITimeSerie>>(nullptr);
|
|
596
|
return std::make_unique<PlottablesHelper<TimeSeries::ITimeSerie>>(nullptr);
|
|
550
|
}
|
|
597
|
}
|
|
551
|
|
|
598
|
|
|
552
|
} // namespace
|
|
599
|
} // namespace
|
|
553
|
|
|
600
|
|
|
554
|
PlottablesMap VisualizationGraphHelper::create(
|
|
601
|
PlottablesMap VisualizationGraphHelper::create(
|
|
555
|
std::shared_ptr<Variable2> variable, QCustomPlot& plot) noexcept
|
|
602
|
std::shared_ptr<Variable2> variable, QCustomPlot& plot) noexcept
|
|
556
|
{
|
|
603
|
{
|
|
557
|
if (variable)
|
|
604
|
if (variable)
|
|
558
|
{
|
|
605
|
{
|
|
559
|
auto helper = createHelper(variable);
|
|
606
|
auto helper = createHelper(variable);
|
|
560
|
auto plottables = helper->create(plot);
|
|
607
|
auto plottables = helper->create(plot);
|
|
561
|
return plottables;
|
|
608
|
return plottables;
|
|
562
|
}
|
|
609
|
}
|
|
563
|
else
|
|
610
|
else
|
|
564
|
{
|
|
611
|
{
|
|
565
|
qCDebug(LOG_VisualizationGraphHelper())
|
|
612
|
qCDebug(LOG_VisualizationGraphHelper())
|
|
566
|
<< QObject::tr("Can't create graph plottables : the variable is null");
|
|
613
|
<< QObject::tr("Can't create graph plottables : the variable is null");
|
|
567
|
return PlottablesMap {};
|
|
614
|
return PlottablesMap {};
|
|
568
|
}
|
|
615
|
}
|
|
569
|
}
|
|
616
|
}
|
|
570
|
|
|
617
|
|
|
571
|
void VisualizationGraphHelper::setYAxisRange(
|
|
618
|
void VisualizationGraphHelper::setYAxisRange(
|
|
572
|
std::shared_ptr<Variable2> variable, QCustomPlot& plot) noexcept
|
|
619
|
std::shared_ptr<Variable2> variable, QCustomPlot& plot) noexcept
|
|
573
|
{
|
|
620
|
{
|
|
574
|
if (variable)
|
|
621
|
if (variable)
|
|
575
|
{
|
|
622
|
{
|
|
576
|
auto helper = createHelper(variable);
|
|
623
|
auto helper = createHelper(variable);
|
|
577
|
helper->setYAxisRange(variable->range(), plot);
|
|
624
|
helper->setYAxisRange(variable->range(), plot);
|
|
578
|
}
|
|
625
|
}
|
|
579
|
else
|
|
626
|
else
|
|
580
|
{
|
|
627
|
{
|
|
581
|
qCDebug(LOG_VisualizationGraphHelper())
|
|
628
|
qCDebug(LOG_VisualizationGraphHelper())
|
|
582
|
<< QObject::tr("Can't set y-axis range of plot: the variable is null");
|
|
629
|
<< QObject::tr("Can't set y-axis range of plot: the variable is null");
|
|
583
|
}
|
|
630
|
}
|
|
584
|
}
|
|
631
|
}
|
|
585
|
|
|
632
|
|
|
586
|
void VisualizationGraphHelper::updateData(
|
|
633
|
void VisualizationGraphHelper::updateData(
|
|
587
|
PlottablesMap& plottables, std::shared_ptr<Variable2> variable, const DateTimeRange& dateTime)
|
|
634
|
PlottablesMap& plottables, std::shared_ptr<Variable2> variable, const DateTimeRange& dateTime)
|
|
588
|
{
|
|
635
|
{
|
|
589
|
auto helper = createHelper(variable);
|
|
636
|
auto helper = createHelper(variable);
|
|
590
|
helper->update(plottables, dateTime);
|
|
637
|
helper->update(plottables, dateTime);
|
|
591
|
}
|
|
638
|
}
|