Update dash_plotly_QC_scRNA.py

dash_plotly_QC_scRNA.py

@@ -413,10 +413,10 @@ def update_graph_and_pie_chart(batch_chosen, s_chosen, g2m_chosen, condition1_ch
     dff_5 = dff_long4.join(dff_long3, on=["batch","Gene"], how="outer")
     result = dff_5.select([
         pl.when((pl.col('len').is_not_null()) & (pl.col('total').is_not_null()))
-              .then(pl.col('len') / pl.col('total'))
+              .then(pl.col('len') / pl.col('total')*100)
               .otherwise(None).alias("%"),
     ])
-    result = result.with_columns(pl.col("%").fill_null(1.0))
+    result = result.with_columns(pl.col("%").fill_null(100))
     dff_5[["percentage"]] = result[["%"]]
     dff_5 = dff_5.select(pl.col("batch","Gene","percentage"))
 
@@ -475,7 +475,7 @@ def update_graph_and_pie_chart(batch_chosen, s_chosen, g2m_chosen, condition1_ch
                             hover_name='batch',template="seaborn")
     
     fig_scatter_12 = px.scatter(data_frame=expression_means, x="Gene", y="batch", color="Mean expression",
-                                size="percentage", size_max = 10,
+                                size="percentage", size_max = 100,
                             #labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
                             hover_name='batch',template="seaborn")