Update dash_plotly_QC_scRNA.py

dash_plotly_QC_scRNA.py

@@ -59,25 +59,28 @@ tab0_content = html.Div([
                  options=["corg/10xflexcorg_umap_clusres","d1011/10xflexd1011_umap_clusres"])
 ])
 
+@app.callback(
+    Input(component_id='dpdn1', component_property='value')
+)
+
 def update_dataset(dataset_chosen): #batch_chosen, 
     filepath = f"az://data10xflex/{dataset_chosen}"
     df = pl.read_parquet(filepath,storage_options=storage_options)
+    return df
+
+min_value = df[col_features].min()
+max_value = df[col_features].max()
     
-    min_value = df[col_features].min()
-    max_value = df[col_features].max()
-    
-    min_value_2 = df[col_counts].min()
-    min_value_2 = round(min_value_2)
-    max_value_2 = df[col_counts].max()
-    max_value_2 = round(max_value_2)
+min_value_2 = df[col_counts].min()
+min_value_2 = round(min_value_2)
+max_value_2 = df[col_counts].max()
+max_value_2 = round(max_value_2)
     
-    min_value_3 = df[col_mt].min()
-    min_value_3 = round(min_value_3, 1)
-    max_value_3 = df[col_mt].max()
-    max_value_3 = round(max_value_3, 1)    
+min_value_3 = df[col_mt].min()
+min_value_3 = round(min_value_3, 1)
+max_value_3 = df[col_mt].max()
+max_value_3 = round(max_value_3, 1)    
 
-    return df, min_value, max_value, min_value_2, max_value_2, min_value_3, max_value_3
-    
 # Loads in the conditions specified in the yaml file
 
 # Note: Future version perhaps all values from a column in the dataframe of the parquet file
@@ -309,7 +312,6 @@ def update_slider_values(min_1, max_1, min_2, max_2, min_3, max_3):
     Output(component_id='scatter-plot-11', component_property='figure'),
     Output(component_id='scatter-plot-12', component_property='figure'),
     Output(component_id='my-graph2', component_property='figure'),
-    Input(component_id='dpdn1', component_property='value'),
     Input(component_id='dpdn2', component_property='value'),
     Input(component_id='dpdn3', component_property='value'),
     Input(component_id='dpdn4', component_property='value'),