Break out each comb tooth's fit data into its own tab

app.py

@@ -203,7 +203,7 @@ class AppWindow(QtWidgets.QMainWindow, Ui_MainWindow):
                 self.check_advanced_peak_detection.isChecked()
             )
             # print(mem['fit_equations'])
-            self.peak_fits_graph.plot()
+            self.peak_fit_viewer.plot()
             self.graph_tabs.setCurrentIndex(4)
         self.fit_button.pressed.connect(init_fit)
 

ui/mainwin.ui

@@ -7,7 +7,7 @@
     <x>0</x>
     <y>0</y>
     <width>1343</width>
-    <height>907</height>
+    <height>746</height>
    </rect>
   </property>
   <property name="windowTitle">
@@ -40,8 +40,8 @@
         <rect>
          <x>0</x>
          <y>0</y>
-         <width>278</width>
+         <width>261</width>
-         <height>846</height>
+         <height>812</height>
         </rect>
        </property>
        <layout class="QVBoxLayout" name="verticalLayout_2">
@@ -794,7 +794,11 @@
        </attribute>
        <layout class="QGridLayout" name="gridLayout_6">
         <item row="0" column="0">
-         <widget class="FitsGraph" name="peak_fits_graph" native="true"/>
+         <widget class="FitsGraphViewer" name="peak_fit_viewer">
+          <property name="currentIndex">
+           <number>-1</number>
+          </property>
+         </widget>
         </item>
        </layout>
       </widget>
@@ -829,7 +833,7 @@
              <x>0</x>
              <y>0</y>
              <width>279</width>
-             <height>802</height>
+             <height>641</height>
             </rect>
            </property>
            <widget class="QGroupBox" name="groupBox_3">
@@ -1021,12 +1025,6 @@ p, li { white-space: pre-wrap; }
    <header>widgets</header>
    <container>1</container>
   </customwidget>
-  <customwidget>
-   <class>FitsGraph</class>
-   <extends>QWidget</extends>
-   <header>widgets</header>
-   <container>1</container>
-  </customwidget>
   <customwidget>
    <class>AddedPeaksGraph</class>
    <extends>QWidget</extends>
@@ -1039,6 +1037,12 @@ p, li { white-space: pre-wrap; }
    <header>widgets</header>
    <container>1</container>
   </customwidget>
+  <customwidget>
+   <class>FitsGraphViewer</class>
+   <extends>QTabWidget</extends>
+   <header>widgets</header>
+   <container>1</container>
+  </customwidget>
  </customwidgets>
  <resources/>
  <connections/>

widgets.py

@@ -92,41 +92,72 @@ class AddedPeaksGraph(BaseGraph):
             for i in mem['peak_indices']: 
                 self.canv.axes.axvspan(int(i-self.params['peak_width']/2+self.params['shift_over']), int(i+self.params['peak_width']/2+self.params['shift_over']), color='red', alpha=0.4)
                 
-class FitsGraph(BaseGraph):
+class FitGraph(BaseGraph):
-    
     def __init__(self, x):
-        super(FitsGraph, self).__init__(x)
+        super().__init__(x)
+        
+    def set_peak_index(self, i):
+        self.peak_index = i
         
     def plot_data(self):
-        
         for g_i in range(len(mem['isolated_peaks'])):
-            for p_i in range(len(mem['isolated_peaks'][g_i])):
+            peak = mem['isolated_peaks'][g_i][self.peak_index]
-                peak = mem['isolated_peaks'][g_i][p_i]
+            x_data = np.arange(len(peak))
-                x_data = np.arange(len(peak))
+            popt = mem['fit_equations'][g_i][self.peak_index]['popt']
-                popt = mem['fit_equations'][g_i][p_i]['popt']
+            self.canv.axes.plot(peak)
-                self.canv.axes.plot(peak)
+            self.canv.axes.plot(x_data, exp_func(x_data, *popt), color='red')
-                self.canv.axes.plot(x_data, exp_func(x_data, *popt), color='red')
 
-    # def plot_data(self):
+class FitsGraphViewer(QtWidgets.QTabWidget):
+    def __init__(self, x):
+        super(FitsGraphViewer, self).__init__(x)
+        layout = QtWidgets.QGridLayout()
+        self.setLayout(layout)
 
-    #     try:
+    def plot(self): # Create tabs & plot ALL data (each individual graph)
-    #         self.canv.axes.remove()
+        self.clear()
-    #     except AttributeError:
-    #         pass
 
-    #     subplots_stacked = len(mem['isolated_peaks'][0]) # should all be same length
+        for p_i in range(len(mem['isolated_peaks'][0])):
-    #     axes = self.canv.figure.subplots(subplots_stacked, 1, sharex=True)
+            tab_name = str(p_i+1)
+            fit_graph = FitGraph(self)
+            fit_graph.set_peak_index(p_i)
+            self.addTab(fit_graph, tab_name)
+            fit_graph.plot()
 
-    #     for g_i in range(len(mem['isolated_peaks'])):
+# class FitsGraph(BaseGraph):
-    #         for p_i in range(subplots_stacked):
-    #             peak = mem['isolated_peaks'][g_i][p_i]
-    #             axes[p_i].plot(peak)
-    #             x_data = np.arange(len(peak))
-    #             popt = mem['fit_equations'][g_i][p_i]['popt']
-    #             axes[p_i].plot(x_data, exp_func(x_data, *popt), color='red')
     
-        # for ax in axs.flat:
+#     def __init__(self, x):
-        #     ax.set(xlabel='x-label', ylabel='y-label')
+#         super(FitsGraph, self).__init__(x)
+        
+#     # def plot_data(self):
+        
+#     #     for g_i in range(len(mem['isolated_peaks'])):
+#     #         for p_i in range(len(mem['isolated_peaks'][g_i])):
+#     #             peak = mem['isolated_peaks'][g_i][p_i]
+#     #             x_data = np.arange(len(peak))
+#     #             popt = mem['fit_equations'][g_i][p_i]['popt']
+#     #             self.canv.axes.plot(peak)
+#     #             self.canv.axes.plot(x_data, exp_func(x_data, *popt), color='red')
+    
+#     def plot_data(self):
+
+#         try:
+#             self.canv.axes.remove()
+#         except AttributeError:
+#             pass
+
+#         subplots_stacked = len(mem['isolated_peaks'][0]) # should all be same length
+#         axes = self.canv.figure.subplots(subplots_stacked, 1, sharex=True)
+        
+#         for g_i in range(len(mem['isolated_peaks'])):
+#             for p_i in range(subplots_stacked):
+#                 peak = mem['isolated_peaks'][g_i][p_i]
+#                 axes[p_i].plot(peak)
+#                 # x_data = np.arange(len(peak))
+#                 # popt = mem['fit_equations'][g_i][p_i]['popt']
+#                 # axes[p_i].plot(x_data, exp_func(x_data, *popt), color='red')
+
+#         # for ax in axs.flat:
+#         #     ax.set(xlabel='x-label', ylabel='y-label')
 
 class TimeConstantGraph(BaseGraph):
     pass