Update dash_plotly_QC_scRNA.py

dash_plotly_QC_scRNA.py

@@ -397,6 +397,7 @@ def update_graph_and_pie_chart(batch_chosen, s_chosen, g2m_chosen, condition1_ch
     dff_pre = dff.with_columns(["batch","Cdc45","Uhrf1","Mcm2","Slbp","Mcm5","Pola1","Gmnn","Cdc6","Rrm2","Atad2"])
     dff_pre = dff_pre.with_columns(dff_pre['batch'].cast(pl.String))
     dff_long = dff_pre.melt(id_vars="batch", variable_name="Gene", value_name="Expression")
+    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")
 
@@ -446,7 +447,7 @@ def update_graph_and_pie_chart(batch_chosen, s_chosen, g2m_chosen, condition1_ch
                             #labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
                             hover_name='batch',template="seaborn")
     
-    fig_scatter_12 = px.scatter(data_frame=dff_long, x="batch", y=condition3_chosen, color=condition3_chosen,
+    fig_scatter_12 = px.scatter(data_frame=expression_means, x="batch", y=condition3_chosen, color=condition3_chosen,
                             #labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
                             hover_name='batch',template="seaborn")