Update pages/keratinocytes_scVI_integration.py

pages/keratinocytes_scVI_integration.py

@@ -364,7 +364,7 @@ def update_graph_and_pie_chart(col_chosen, s_chosen, g2m_chosen, condition1_chos
     
     # Plot figures
     fig_violin_db2 = px.violin(data_frame=dff, x=col_chosen, y=col_features, box=True, points="all",
-                            color=col_chosen, hover_name=col_chosen,template="seaborn")
+                            color=col_chosen, hover_name=col_chosen,template="plotly_white")
 
     # Cache commonly used subexpressions
     total_count = pl.lit(len(dff))
@@ -418,7 +418,7 @@ def update_graph_and_pie_chart(col_chosen, s_chosen, g2m_chosen, condition1_chos
     #expression_means = expression_means.select(["batch", "Gene", "Expression"] + condition3_chosen)
     category_counts = category_counts.sort(col_chosen)
     
-    fig_pie_db2 = px.pie(category_counts, values="normalized_count", names=col_chosen, labels=col_chosen, hole=.3, title=pie_title, template="seaborn")
+    fig_pie_db2 = px.pie(category_counts, values="normalized_count", names=col_chosen, labels=col_chosen, hole=.3, title=pie_title, template="plotly_white")
 
     #labels = category_counts[col_chosen].to_list()
     #values = category_counts["normalized_count"].to_list()
@@ -426,59 +426,59 @@ def update_graph_and_pie_chart(col_chosen, s_chosen, g2m_chosen, condition1_chos
     # Create the scatter plots
     fig_scatter_db2 = px.scatter(data_frame=dff, x='X_umap-0', y='X_umap-1', color=col_chosen,
                              labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
-                             hover_name='batch',template="seaborn")
+                             hover_name='batch',template="plotly_white")
 
     fig_scatter_db2_2 = px.scatter(data_frame=dff, x='X_umap-0', y='X_umap-1', color=col_mt,
                              labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
-                             hover_name='batch',template="seaborn")
+                             hover_name='batch',template="plotly_white")
 
     fig_scatter_db2_3 = px.scatter(data_frame=dff, x='X_umap-0', y='X_umap-1', color=col_features,
                              labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
-                             hover_name='batch',template="seaborn")
+                             hover_name='batch',template="plotly_white")
 
 
     fig_scatter_db2_4 = px.scatter(data_frame=dff, x='X_umap-0', y='X_umap-1', color=col_counts,
                              labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
-                             hover_name='batch',template="seaborn")
+                             hover_name='batch',template="plotly_white")
     
     fig_scatter_db2_5 = px.scatter(data_frame=dff, x='X_umap-0', y='X_umap-1', color=s_chosen,
                             labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
-                            hover_name='batch', title="S-cycle gene:",template="seaborn")
+                            hover_name='batch', title="S-cycle gene:",template="plotly_white")
 
     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', title="G2M-cycle gene:",template="plotly_white")
     
     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', title="S score:",template="plotly_white")
     
     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', title="G2M score:",template="plotly_white")
 
     # Sort values of custom in-between
     dff = dff.sort(condition1_chosen)
     
     fig_scatter_db2_9 = px.scatter(data_frame=dff, x='X_umap-0', y='X_umap-1', color=condition1_chosen,
                             labels={'X_umap-0': 'umap1' , 'X_umap-1': 'umap2'},
-                            hover_name='batch',template="seaborn")
+                            hover_name='batch',template="plotly_white")
     
     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',template="plotly_white")
     
     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")
+                            hover_name='batch',template="plotly_white")
     
     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'},
-                            hover_name=col_chosen,template="seaborn")
+                            hover_name=col_chosen,template="plotly_white")
     
     fig_violin_db22 = px.violin(data_frame=dff, x=condition1_chosen, y=condition2_chosen, box=True, points="all",
-                            color=condition1_chosen, hover_name=condition1_chosen,template="seaborn")
+                            color=condition1_chosen, hover_name=condition1_chosen,template="plotly_white")
 
 
     return fig_violin_db2, fig_pie_db2, fig_scatter_db2, fig_scatter_db2_2, fig_scatter_db2_3, fig_scatter_db2_4, fig_scatter_db2_5, fig_scatter_db2_6, fig_scatter_db2_7, fig_scatter_db2_8, fig_scatter_db2_9, fig_scatter_db2_10, fig_scatter_db2_11, fig_scatter_db2_12, fig_violin_db22