Update dash_plotly_QC_scRNA.py

dash_plotly_QC_scRNA.py

@@ -382,12 +382,12 @@ def update_graph_and_pie_chart(batch_chosen, s_chosen, g2m_chosen, condition1_ch
     pie_title = f'Percentage of Total Cells: {total_cells}'  # Include total cells in the title
 
     # Calculate the mean expression
-    round_precision = 2
-    category_counts = dff.group_by(condition1_chosen).agg(pl.col(condition1_chosen).count().alias("count"))
-    category_sums = dff.group_by(condition1_chosen).agg(pl.col(condition1_chosen).sum().alias("sum"))
-    total_count = len(dff)
-    category_means = category_sums.select((pl.col("sum") / total_count).round(round_precision).alias("mean"))
-    values_mean = category_means["mean"].to_list()
+    #round_precision = 2
+    #category_counts = dff.group_by(condition1_chosen).agg(pl.col(condition1_chosen).count().alias("count"))
+    #category_sums = dff.group_by(condition1_chosen).agg(pl.col(condition1_chosen).sum().alias("sum"))
+    #total_count = len(dff)
+    #category_means = category_sums.select((pl.col("sum") / total_count).round(round_precision).alias("mean"))
+    #values_mean = category_means["mean"].to_list()
 
     fig_pie = px.pie(names=labels, values=values, title=pie_title,template="seaborn")