Update pages/keratinocytes_scVI_integration.py

pages/keratinocytes_scVI_integration.py

@@ -42,7 +42,7 @@ def read_config(filename):
 
 config = read_config(config_path)
 path_parquet = config.get("path_parquet")
-col_batch = config.get("col_batch")
+col_batch = "batch_renamed"
 col_features = config.get("col_features")
 col_counts = config.get("col_counts")
 col_mt = config.get("col_mt")
@@ -89,7 +89,7 @@ tab2_content = html.Div([
 tab3_content = html.Div([
     html.Div([
             html.Label("UMAP condition 1"),
-            dcc.Dropdown(id='dpdn5', value="batch", multi=False,
+            dcc.Dropdown(id='dpdn5', value="batch_renamed", multi=False,
                  options=df.columns),
             html.Label("UMAP condition 2"),
             dcc.Dropdown(id='dpdn6', value="AREG", multi=False,
@@ -208,15 +208,15 @@ def update_graph_and_pie_chart(col_chosen, s_chosen, g2m_chosen, condition1_chos
 
     fig_scatter_db2_6 = px.scatter(data_frame=dff, x='X_umap-0', y='X_umap-1', color=g2m_chosen,
                             labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
-                            hover_name='batch', title="G2M-cycle gene:",template="seaborn")
+                            hover_name='batch_renamed', title="G2M-cycle gene:",template="seaborn")
     
     fig_scatter_db2_7 = px.scatter(data_frame=dff, x='X_umap-0', y='X_umap-1', color="S_score",
                             labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
-                            hover_name='batch', title="S score:",template="seaborn")
+                            hover_name='batch_renamed', title="S score:",template="seaborn")
     
     fig_scatter_db2_8 = px.scatter(data_frame=dff, x='X_umap-0', y='X_umap-1', color="G2M_score",
                             labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
-                            hover_name='batch', title="G2M score:",template="seaborn")
+                            hover_name='batch_renamed', title="G2M score:",template="seaborn")
 
     # Sort values of custom in-between
     dff = dff.sort(condition1_chosen)
@@ -229,11 +229,11 @@ def update_graph_and_pie_chart(col_chosen, s_chosen, g2m_chosen, condition1_chos
     
     fig_scatter_db2_10 = px.scatter(data_frame=dff, x='X_umap-0', y='X_umap-1', color=condition2_chosen,
                             labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
-                            hover_name='batch',template="seaborn")
+                            hover_name='batch_renamed',template="seaborn")
     
     fig_scatter_db2_11 = px.scatter(data_frame=dff, x=condition1_chosen, y=condition2_chosen, color=condition1_chosen,
                             #labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
-                            hover_name='batch',template="seaborn",category_orders=cat_ord)
+                            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":