Update pages/Cornea_v1_integrated_scVI.py

pages/Cornea_v1_integrated_scVI.py

@@ -358,7 +358,7 @@ def update_graph_and_pie_chart(col_chosen, s_chosen, g2m_chosen, condition1_chos
         #(pl.col(col_counts) <= range_value_2[1]) &
         #(pl.col(col_mt) >= range_value_3[0]) &
         #(pl.col(col_mt) <= range_value_3[1])
-)
+).collect()
     
     # #Drop categories that are not in the filtered data
     # dff = dff.with_columns(dff[col_chosen].cast(pl.Categorical))
@@ -393,7 +393,7 @@ def update_graph_and_pie_chart(col_chosen, s_chosen, g2m_chosen, condition1_chos
     dff_long = dff_pre.melt(id_vars=col_chosen, variable_name="Gene", value_name="Mean expression")
 
     # Calculate the mean expression levels for each gene in each region
-    expression_means = dff_long.group_by([col_chosen, "Gene"]).agg(pl.mean("Mean expression"))#.collect() #dff_long.lazy()
+    expression_means = dff_long.lazy().group_by([col_chosen, "Gene"]).agg(pl.mean("Mean expression")).collect() #
     
     # Calculate the percentage total expressed
     dff_long1 = dff_pre.melt(id_vars=col_chosen, variable_name="Gene")#.group_by(pl.all()).agg(pl.len())