Update pages/keratinocytes_scVI_integration.py

pages/keratinocytes_scVI_integration.py

@@ -113,7 +113,7 @@ tab3_content = html.Div([
 
 tab4_content = html.Div([
      html.Label("Column chosen"),    
-     dcc.Dropdown(id='dpdn2', value="leiden_0.45", multi=False,
+     dcc.Dropdown(id='dpdn2', value="leiden_renamed", multi=False,
                   options=df.columns),
     html.Div([
             html.Label("Multi gene"),
@@ -164,8 +164,8 @@ def update_graph_and_pie_chart(col_chosen, s_chosen, g2m_chosen, condition1_chos
         (pl.col(col_chosen).cast(str).is_in(batch_chosen)) #&
 )
     # Select ordering of plots
-    if condition1_chosen == "leiden_0.45":
-        cat_ord= {condition1_chosen: ["1","2","3","4"]}
+    if condition1_chosen == "leiden_renamed":
+        cat_ord= {condition1_chosen: ["1","2","3","4","5"]}
     else:
         cat_ord= {condition1_chosen: natsorted(dff[condition1_chosen].unique())}
 
@@ -236,7 +236,7 @@ def update_graph_and_pie_chart(col_chosen, s_chosen, g2m_chosen, condition1_chos
                             hover_name='batch_renamed',template="seaborn",category_orders=cat_ord)
 
     # Reorder categories on natural sorting or on the integrated cell state order of the paper
-    if col_chosen == "leiden_0.45":
+    if col_chosen == "leiden_renamed":
         fig_scatter_db2_12 = px.scatter(data_frame=expression_means, x="Gene", y=col_chosen, color="Mean expression",
                                     size="percentage", size_max = 20,
                                 #labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},