Update dash_plotly_QC_scRNA.py

dash_plotly_QC_scRNA.py

@@ -54,32 +54,38 @@ external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']
 app = dash.Dash(__name__, external_stylesheets=external_stylesheets) #, requests_pathname_prefix='/dashboard1/'
 
 tab0_content = html.Div([
-    html.Label("Dataset chosen"),    
+    html.Label("Dataset chosen"),
     dcc.Dropdown(id='dpdn1', value="d1011/10xflexd1011_umap_clusres", multi=False,
                  options=["corg/10xflexcorg_umap_clusres","d1011/10xflexd1011_umap_clusres"])
 ])
 
 @app.callback(
+    Output('dynamic-table', 'children'),
     Input(component_id='dpdn1', component_property='value')
 )
-
-def update_dataset(dataset_chosen): #batch_chosen, 
+def update_table(dataset_chosen):
     filepath = f"az://data10xflex/{dataset_chosen}"
-    df = pl.read_parquet(filepath,storage_options=storage_options)
-    return df
+    df = pl.read_parquet(filepath, storage_options=storage_options)
 
-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_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 = df[col_features].min().item()
+    max_value = df[col_features].max().item()
+
+    min_value_2 = round(df[col_counts].min())
+    max_value_2 = round(df[col_counts].max())
+
+    min_value_3 = round(df[col_mt].min(), 1)
+    max_value_3 = round(df[col_mt].max(), 1)
+
+    # Create other visualizations or perform calculations below using the updated df variable
+
+    return [
+        html.H5(f'Minimum Value - {col_features}: {min_value}'),
+        html.H5(f'Maximum Value - {col_features}: {max_value}'),
+        html.H5(f'Minimum Value - {col_counts}: {min_value_2}'),
+        html.H5(f'Maximum Value - {col_counts}: {max_value_2}'),
+        html.H5(f'Minimum Value - {col_mt}: {min_value_3}'),
+        html.H5(f'Maximum Value - {col_mt}: {max_value_3}'),
+    ]
 
 # Loads in the conditions specified in the yaml file