Update dash_plotly_QC_scRNA.py

dash_plotly_QC_scRNA.py

@@ -395,10 +395,12 @@ def update_graph_and_pie_chart(batch_chosen, s_chosen, g2m_chosen, condition1_ch
     
     # Melt wide format DataFrame into long format
     # Specify batch column as string type and gene columns as float type
-    dff_pre = dff.with_columns(pl.lit(None).cast(pl.Utf8).alias("batch"), *[pl.col(col).cast(pl.Float64) for col in ["Cdc45", "Uhrf1", "Mcm2", "Slbp", "Mcm5", "Pola1", "Gmnn", "Cdc6", "Rrm2", "Atad2"]])
-
-    dff_long = dff_pre.melt(id_vars="batch", variable_name="Gene", value_name="Expression").with_columns(pl.col("batch").cast(pl.Categorical))
+    dff_pre = dff.select(["Region","Cdc45","Mcm5"])
+    
+    # Melt wide format DataFrame into long format
+    dff_long = df.melt(id_vars="Region", variable_name="Gene", value_name="Expression")
 
+    # Calculate the mean expression levels for each gene in each region
     expression_means = dff_long.group_by(["Region", "Gene"]).agg(pl.mean("Expression"))
     
     fig_pie = px.pie(names=labels, values=values, title=pie_title,template="seaborn")