Update dash_plotly_QC_scRNA.py

dash_plotly_QC_scRNA.py

@@ -37,7 +37,7 @@ def read_config(filename):
 
 config = read_config(config_path)
 path_parquet = config.get("path_parquet")
-conditions = config.get("conditions")
+#conditions = config.get("conditions")
 col_features = config.get("col_features")
 col_counts = config.get("col_counts")
 col_mt = config.get("col_mt")
@@ -49,7 +49,6 @@ storage_options={'account_name': AZURE_STORAGE_ACCOUNT, 'account_key': AZURE_STO
 
 df = pl.read_parquet(filepath,storage_options=storage_options)
 #abfs = AzureBlobFileSystem(account_name=accountname,account_key=accountkey)
-
 #df = df.rename({"__index_level_0__": "Unnamed: 0"})
 
 # Setup the app
@@ -73,13 +72,13 @@ max_value_3 = round(max_value_3, 1)
 
 # Note: Future version perhaps all values from a column in the dataframe of the parquet file
 # Note 2: This could also be a tsv of the categories and own specified colors
-
+conditions = df[condition1_chosen].unique().tolist()
 # Create the first tab content
 # Add Sliders for three QC params: N genes by counts, total amount of reads and pct MT reads
 
 tab1_content = html.Div([
-    #dcc.Dropdown(id='dpdn2', value=conditions, multi=True,
-    #             options=conditions),
+    dcc.Dropdown(id='dpdn2', value=conditions, multi=True,
+                 options=conditions),
     html.Label("N Genes by Counts"),
     dcc.RangeSlider(
         id='range-slider-1',
@@ -288,7 +287,7 @@ 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='dpdn2', component_property='value'),
+    Input(component_id='dpdn2', component_property='value'),
     Input(component_id='dpdn3', component_property='value'),
     Input(component_id='dpdn4', component_property='value'),
     Input(component_id='dpdn5', component_property='value'),