Disable row filtering

daqviewer/tables.py

@@ -14,6 +14,7 @@ df = pd.read_csv(csv_name)
 df.iloc[:, 1:] = np.round(df.iloc[:, 1:] * 100) / 100
 
 variables = {
+    'location': '',
     'H_sig': 'o',
     'H_1%': 'x',
     'H_max': '□',
@@ -22,7 +23,7 @@ variables = {
     'Tp1': '',
 }
 
-df = df[['location'] + list(variables.keys())]
+df = df[variables.keys()]
 
 # add an id column and set it as the index
 # in this case the unique ID is just the country name, so we could have just
@@ -41,9 +42,9 @@ app.layout = html.Div([
             'id': key
         } for key, val in variables.items()],
         data=df.to_dict('records'),
-        editable=True,
-        filter_action="native",
-        sort_action="native",
+        editable=False,
+        # filter_action="native",
+        sort_action='native',
         sort_mode='multi',
         row_selectable='multi',
         row_deletable=False,
@@ -81,8 +82,8 @@ def update_graphs(row_ids, selected_row_ids, active_cell):
     active_row_id = active_cell['row_id'] if active_cell else None
 
     colors = [
-        '#FF69B4' if id == active_row_id else
-        '#7FDBFF' if id in selected_id_set else '#0074D9' for id in row_ids
+        '#FF69B4' if i == active_row_id else
+        '#7FDBFF' if i in selected_id_set else '#0074D9' for i in row_ids
     ]
 
     return [
@@ -119,9 +120,9 @@ def update_graphs(row_ids, selected_row_ids, active_cell):
         # check if column exists - user may have deleted it
         # If `column.deletable=False`, then you don't
         # need to do this check.
-        for column in ['pop', 'lifeExp', 'gdpPercap'] if column in dff
+        for column in ['H_sig', 'H_1%', 'H_max'] if column in dff
     ]
 
 
 if __name__ == '__main__':
-    app.run_server(debug=False)
+    app.run_server(debug=True)