appendix include time measurement

mlair/plotting/data_insight_plotting.py

@@ -444,6 +444,7 @@ class PlotAvailabilityHistogram(AbstractPlotClass):  # pragma: no cover
         plt.tight_layout()
 
 
+@TimeTrackingWrapper
 class PlotDataHistogram(AbstractPlotClass):  # pragma: no cover
     """
     Plot histogram on transformed input and target data. This data is the same that the model sees during training. No
@@ -570,6 +571,7 @@ class PlotDataHistogram(AbstractPlotClass):  # pragma: no cover
         plt.close('all')
 
 
+@TimeTrackingWrapper
 class PlotPeriodogram(AbstractPlotClass):  # pragma: no cover
     """
     Create Lomb-Scargle periodogram in raw input and target data. The Lomb-Scargle version can deal with missing values.