Correctly load wave statistics into table

daqviewer/daqviewer.py

@@ -103,7 +103,6 @@ def parse_contents(contents, filename):
         # Add spectral values to dataframe
         stats.loc[col, keys] = values
 
-
     json_data = {}
     json_data['timeseries'] = df.to_json(orient='table')
     json_data['spectrum'] = dfs.to_json(orient='table')
@@ -140,8 +139,7 @@ def read_json_data(json_data):
                                      'layout': layout
                                  })
 
-    dfs = pd.read_json(json.loads(json_data)['spectrum'],
-                       orient='table')
+    dfs = pd.read_json(json.loads(json_data)['spectrum'], orient='table')
     spec = []
     for col in dfs.columns:
         # Plot energy spectrum
@@ -158,11 +156,13 @@ def read_json_data(json_data):
                                  }
                              })
 
+    stats = pd.read_json(json.loads(json_data)['statistics'], orient='table')
+
     # Add location column
-    dfs['location'] = dfs.index
+    stats['location'] = stats.index
 
     # Round spectral values
-    dfs = dfs.round(1)
+    stats = stats.round(1)
 
     variables = {
         'location': '',
@@ -178,13 +178,13 @@ def read_json_data(json_data):
             'name': [val, key],
             'id': key
         } for key, val in variables.items()],
-        data=dfs.to_dict('records'),
+        data=stats.to_dict('records'),
         editable=False,
         sort_action='native',
         sort_mode='multi',
         row_selectable='multi',
         row_deletable=False,
-        selected_rows=np.arange(dfs.shape[0]),
+        selected_rows=np.arange(stats.shape[0]),
         style_as_list_view=True,
         style_cell={
             'minWidth': '100px',