spare trace in measurment plot subplot 1 for plotting extra trace

-> actually used for postplot analysis (correlation/regression)

Python_script/MeasurementPlot.py

@@ -11,7 +11,7 @@ class PlottingError(Exception):
     pass
 
 class MeasurementPlot:
-    def __init__(self, title='', legend_loc = 'lower right', legend_bbox_to_anchor = None):
+    def __init__(self, title='', legend_loc = 'upper left', legend_bbox_to_anchor = (1.09, 1)):
           # set python for opening an separate plot window when starting from anaconda, Michael
         if 'ipykernel' in sys.modules:
             from IPython import get_ipython
@@ -29,6 +29,7 @@ class MeasurementPlot:
 
         # First plot: Phase and magnitude, Michael
         self.path_collection_phase = self.ax1[0].scatter([], [], c='red', marker='<', label='DUT Phase')
+        self.path_collection_fit = self.ax1[0].scatter([], [], c='green', marker='.', label = ' ')
         self.magnitude_axis = self.ax1[0].twinx()
         
         # in entry of legend for phase and magnitude the word DUT is added in front, Michael
@@ -47,9 +48,10 @@ class MeasurementPlot:
         self.equi_axis0.set_ylim(-1, 32)
 
         self.ax1[0].grid(True, linestyle=":")
-        all_path_collections = [self.path_collection_phase, self.path_collection_mag, self.path_collection_equi0]
+        all_path_collections = [self.path_collection_phase, self.path_collection_mag, \
+                                self.path_collection_equi0, self.path_collection_fit]
         labels = [pc.get_label() for pc in all_path_collections]
-        self.ax1[0].legend(all_path_collections, labels, loc=self.legend_loc, bbox_to_anchor = \
+        self.phase_legend = self.ax1[0].legend(all_path_collections, labels, loc=self.legend_loc, bbox_to_anchor = \
                            self.legend_bbox_to_anchor)
             
         ax = self.fig.axes
@@ -188,6 +190,7 @@ class MeasurementPlot:
         minimum, maximum = self.get_extended_min_max(phases)
         self.ax1[0].set_ylim(minimum, maximum)
         self.path_collection_phase.set_offsets(np.c_[timestamps, phases])
+        self.path_collection_fit.set_offsets(np.c_[[], []])
 
         # refresh data for magnitude in subplot for phase and magnitude
         magnitudes = data_frame.S21_MAGNITUDE