Update dash_plotly_QC_scRNA.py

dash_plotly_QC_scRNA.py

@@ -383,11 +383,12 @@ def update_graph_and_pie_chart(batch_chosen, s_chosen, g2m_chosen, condition1_ch
 
     # Calculate the mean expression
     round_precision = 2
-    category_means = dff.group_by(condition3_chosen).agg(pl.col(condition3_chosen).count().alias("count"))
-    category_sums = dff.group_by(condition3_chosen).agg(pl.col(condition3_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()
+    for i in condition3_chosen:
+        category_means = dff.group_by(condition3_chosen).agg(pl.col(condition3_chosen).count().alias("count"))
+        category_sums = dff.group_by(condition3_chosen).agg(pl.col(condition3_chosen).sum().alias("sum"))
+        total_count = len(dff)
+        category_means = category_sums.select((pl.col("sum") / total_count).round(round_precision).alias(i))
+        values_mean = category_means[i].to_list()
 
     fig_pie = px.pie(names=labels, values=values, title=pie_title,template="seaborn")