Update dash_plotly_QC_scRNA.py

dash_plotly_QC_scRNA.py

@@ -339,9 +339,6 @@ def update_graph_and_pie_chart(col_chosen, s_chosen, g2m_chosen, condition1_chos
     category_counts = category_counts.sort(col_chosen)
     
     # Display the result
-    labels = category_counts[col_chosen].to_list()
-    values = category_counts["normalized_count"].to_list()
-
     total_cells = total_count  # Calculate total number of cells
     pie_title = f'Percentage of Total Cells: {total_cells}'  # Include total cells in the title
 
@@ -384,7 +381,10 @@ def update_graph_and_pie_chart(col_chosen, s_chosen, g2m_chosen, condition1_chos
     
     #expression_means = expression_means.select(["batch", "Gene", "Expression"] + condition3_chosen)
     
-    fig_pie = px.pie(names=labels, values=values, title=pie_title,template="seaborn")
+    fig_pie = px.pie(category_counts, names=col_chosen, values="normalized_count", title=pie_title,template="seaborn")
+
+    #labels = category_counts[col_chosen].to_list()
+    #values = category_counts["normalized_count"].to_list()
 
     # Create the scatter plots
     fig_scatter = px.scatter(data_frame=dff, x='X_umap-0', y='X_umap-1', color=col_chosen,