again

src/View/Results/Table.py

@@ -160,8 +160,6 @@ class TableModel(PamhyrTableModel):
             self._lst = _river.reachs
         elif self._opt_data == "profile" or self._opt_data == "raw_data":
             self._lst = _river.reach(reach).profiles
-            # self._lst = list(compress(_river.reach(reach).profiles,
-                                      # _river.reach(reach).profile_mask))
         elif self._opt_data == "solver":
             self._lst = self._parent._solvers
 

src/View/Results/Window.py

@@ -1234,29 +1234,51 @@ class ResultsWindow(PamhyrWindow):
         if filename == "":
             return
 
+        sep = " "
         with open(filename, 'r', newline='') as f:
             lines = f.readlines()
             x = []
             y = []
             for line in lines:
                 if line[0] != "*" and line[0] != "#" and line[0] != "$":
-                    row = line.split(" ")
+                    row = line.split(sep)
                     print(row)
-                    if len(row) > 1:
+                    if len(row) >= 2:
+                        try:
                             x.append(float(row[0]))
                             y.append(float(row[1]))
-        data_type_lst =['Q(t)', 'Z(x)']
+                        except:
+                            pass
+        print(x)
+        print(y)
+
+        # with open(filename, 'r', newline='') as f:
+        #     reader = csv.reader(f, delimiter=sep, quotechar='|',
+        #                         quoting=csv.QUOTE_NONNUMERIC)
+        #     for row in reader:
+        #         print(row)
+        #         if len(row) == 2:
+        #             x.append(float(row[0]))
+        #             y.append(float(row[1]))
+
+        data_type_lst = ['Q(t)', 'Z(t)', 'Z(x)']
         data_type, ok = QInputDialog.getItem(
           self, 'Data type', 'Chose the type of data:', data_type_lst)
 
         if not ok:
             return
 
-        print(x)
-        print(y)
         if data_type == 'Z(x)':
             self.canvas_2.axes.scatter(x, y, marker="+")
             self.plot_rkc.idle()
         if data_type == 'Q(t)':
             self.canvas_4.axes.scatter(x, y, marker="+")
             self.plot_h.idle()
+        if data_type == 'Z(t)':
+            for plot in self._additional_plot:
+                x_key = plot.split(": ")[0]
+                y_key = plot.split(": ")[1].split(",")
+                if 'time' in x_key and 'water_elevation' in y_key:
+                    self._additional_plot[plot].canvas.axes.scatter(
+                        x, y, marker="+")
+                    self._additional_plot[plot].idle()