Refactor graph and table elements

daqviewer/daqviewer.py

@@ -81,8 +81,12 @@ def parse_contents(contents, filename, date):
         trace = go.Scatter(x=df.index, y=df[col], name=col, opacity=0.8)
         ts.append(trace)
 
-    layout = dict(title=basename, xaxis=dict(rangeslider=dict()))
-    timeseries = dict(data=ts, layout=layout)
+    layout = {'title': basename, 'xaxis': {'rangeslider': {}}}
+    graph_timeseries = dcc.Graph(id='time-series',
+                                 figure={
+                                     'data': ts,
+                                     'layout': layout
+                                 })
 
     # Create spectral dataframe
     dfs = pd.DataFrame(columns=range(15))
@@ -109,7 +113,7 @@ def parse_contents(contents, filename, date):
         trace = go.Scatter(x=S.args, y=S.data, name=col, opacity=0.8)
         spec.append(trace)
 
-    energy = dict(data=spec)
+    graph_energy = dcc.Graph(id='energy-spectrum', figure={'data': spec})
 
     # Add location column
     dfs['location'] = dfs.index
@@ -122,7 +126,7 @@ def parse_contents(contents, filename, date):
     }
 
     # Add table
-    table = dash_table.DataTable(
+    table_energy = dash_table.DataTable(
         id='datatable-row-ids',
         columns=[{
             'name': [val, key],
@@ -144,8 +148,7 @@ def parse_contents(contents, filename, date):
     )
 
     elements = html.Div([
-        dcc.Graph(id='time-series', figure=timeseries),
-        dcc.Graph(id='energy-spectrum', figure=energy), table,
+        graph_timeseries, graph_energy, table_energy,
         html.Div(id='datatable-row-ids-container')
     ])