merge two graphs

bdikit/api.py

@@ -43,7 +43,7 @@ def load_dataset(self, dataset_path):
     def reduce_scope(self):
         self.scope_manager = ScopeReducingManager(self.dataset, self.global_table)
         self.reduced_scope = self.scope_manager.reduce()
-        return plot_reduce_scope(self.reduced_scope, self.dataset)
+        return self.reduced_scope
 
     def map_columns(self, algorithm='SimFloodAlgorithm'):
         self.column_manager = ColumnMappingManager(self.dataset, self.global_table, algorithm)

bdikit/visualization/scope_reducing.py

@@ -120,11 +120,8 @@ def _candidates_table(self, column, n_candidates):
                                                )
         return table_candidates
 
-    def explore(self):
-        select_column = pn.widgets.Select(name='Column selected',
-                                          options=list(self.candidates_dfs.keys()),
-                                          align='center'
-                                         )
+    def explore(self, select_column):
+
         select_n_candidates = pn.widgets.EditableIntSlider(name='Number of candidates',
                                                            start=1, end=self.max_candidates, 
                                                            step=1, value=min(5, self.max_candidates),
@@ -170,6 +167,8 @@ def __init__(self) -> None:
 
         # Selected column
         self.selected_row = None
+
+        self.scope_explorer = None
 
     def _load_json(self):
         with open(self.json_path) as f:
@@ -180,7 +179,7 @@ def _write_json(self, data):
         with open(self.json_path, "w") as f:
             json.dump(data, f)
 
-    def get_heatmap(self):
+    def get_heatmap(self, dataset):
         recommendations = self._load_json()
         rec_cols = set()
         rec_table = []
@@ -214,6 +213,8 @@ def get_heatmap(self):
         self.get_cols_subschema()
         self.get_clusters()
 
+        self.scope_explorer = ScopeReducerExplorer(dataset, recommendations)
+
     def get_cols_subschema(self):
         subschemas = []
         schema = read_gdc_schema()
@@ -368,7 +369,9 @@ def _plot_selected_row(self, heatmap_rec_list, selection):
         # value = selected_row["Value"]
         # self._accept_match(column, rec)
         self.selected_row = selected_row
-        return pn.widgets.DataFrame(selected_row)
+
+        return self.scope_explorer.explore(column)
+        # return pn.widgets.DataFrame(selected_row)
 
     def _plot_pane(
         self, clusters=[], subschemas=[], threshold=0.5, acc_click=0, rej_click=0