Update dash_plotly_QC_scRNA.py

dash_plotly_QC_scRNA.py

@@ -55,6 +55,22 @@ df = pl.read_parquet(filepath,storage_options=storage_options)
 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"),    
+    dcc.Dropdown(id='dpdn1', value="d1011/10xflexd1011_umap_clusres", multi=False,
+                 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, 
+    #global df
+    filepath = f"az://data10xflex/{dataset_chosen}.parquet"
+    df = pl.read_parquet(filepath,storage_options=storage_options)
+    return df
+
 min_value = df[col_features].min()
 max_value = df[col_features].max()
 
@@ -243,6 +259,7 @@ app.layout = html.Div([
     dcc.Tabs(id='tabs', style= {'width': 600,
         'font-size': '100%',
         'height': 50}, value='tab1',children=[
+        dcc.Tab(label='Dataset', value='tab0', children=tab0_content),
         dcc.Tab(label='QC', value='tab1', children=tab1_content),
         dcc.Tab(label='Cell cycle', value='tab2', children=tab2_content),
         dcc.Tab(label='Custom', value='tab3', children=tab3_content),