samples_selection

pages/1-samples_selection.py

@@ -108,7 +108,8 @@ with container2:
             axis3 = pc.selectbox("z-axis", options = model.scores_.columns, index=2)
 
             if type_cluster == 'Kmeans':
-                cl = Sk_Kmeans(pd.concat([model.scores_.loc[:,axis1], model.scores_.loc[:,axis2], model.scores_.loc[:,axis3]], axis = 1), max_clusters = 30)
+                scsc = pd.concat([model.scores_.loc[:,axis1], model.scores_.loc[:,axis2], model.scores_.loc[:,axis3]], axis = 1)
+                cl = Sk_Kmeans(scsc, max_clusters = 30)
 
             with scores:
                 t = model.scores_