Show empty table for non-wave-probe instruments

daqviewer/daqviewer.py

@@ -191,43 +191,40 @@ def read_json_data(json_data):
     }
 
     # Add table
-    table_energy = dash_table.DataTable(
-        id='datatable-row-ids',
-        columns=[{
-            'name': [val, key],
-            'id': key
-        } for key, val in variables.items()],
-        data=stats.to_dict('records'),
-        editable=False,
-        sort_action='native',
-        sort_mode='multi',
-        row_selectable='multi',
-        row_deletable=False,
-        selected_rows=np.arange(stats.shape[0]),
-        style_as_list_view=True,
-        fill_width=False,
-        style_cell={
-            'minWidth': '100px',
-            'width': '100px',
-            'maxWidth': '100px',
-        },
-    )
-
     if info['instrument type'] == 'WP':
-        elements = html.Div([
+        table_energy = dash_table.DataTable(
-            graph_timeseries,
+            id='datatable-row-ids',
-            html.Div([
+            columns=[{
-                html.Div([graph_energy], className='six columns'),
+                'name': [val, key],
-                html.Div([table_energy], className='six columns')
+                'id': key
-            ]),
+            } for key, val in variables.items()],
-            html.Div(id='datatable-row-ids-container')
+            data=stats.to_dict('records'),
-        ])
+            editable=False,
-
+            sort_action='native',
+            sort_mode='multi',
+            row_selectable='multi',
+            row_deletable=False,
+            selected_rows=np.arange(stats.shape[0]),
+            style_as_list_view=True,
+            fill_width=False,
+            style_cell={
+                'minWidth': '100px',
+                'width': '100px',
+                'maxWidth': '100px',
+            },
+        )
     else:
-        # Don't include spectral data for non-wave instruments
+        # Return blank table
-        elements = html.Div(
+        table_energy = dash_table.DataTable()
-            [graph_timeseries,
+
-             html.Div(id='datatable-row-ids-container')])
+    elements = html.Div([
+        graph_timeseries,
+        html.Div([
+            html.Div([graph_energy], className='six columns'),
+            html.Div([table_energy], className='six columns')
+        ]),
+        html.Div(id='datatable-row-ids-container')
+    ])
 
     return elements