I1210 rebased sigtesting skipped

quantipy/core/quantify/engine.py

@@ -75,7 +75,6 @@ def __init__(self, link, weight=None, base_all=False, ignore_flags=False):
         self.result = None
         self.logical_conditions = []
         self.cbase = self.rbase = None
-        self.rebased = {}
         self.comb_x = self.comb_y = None
         self.calc_x = self.calc_y = None
         self._has_x_margin = self._has_y_margin = False
@@ -1564,8 +1563,6 @@ def normalize(self, on='y', per_cell=False):
         """
         Convert a raw cell count result to its percentage representation.
 
-        .. note:: Will prioritize the self.rebased margin row if one is found.
-
         Parameters
         ----------
         on : {'y', 'x', 'counts_sum', str}, default 'y'
@@ -1686,6 +1683,7 @@ def __init__(self, link, view_name_notation, test_total=False):
             self.Quantity.swap(var=view.has_other_source())
             cond = {orgx: not_count(0)}
             self.Quantity.filter(cond, keep_base=False, inplace=True)
+        self.rebased = view._kwargs.get('rebased', False)
         self._set_baseline_aggregates(view)
         # Set information about the incoming aggregation
         # to be able to route correctly through the algorithms
@@ -1838,6 +1836,9 @@ def set_params(self, test_total=False, level='mid', mimic='Dim', testtype='poole
                     self.no_diffs = True
                 if self.y == '@':
                     self.no_pairs = True
+        if self.rebased:
+            self.invalid = True
+            self.no_pairs = True
         if self.invalid:
             self.mimic = mimic
             self.comparevalue, self.level = self._convert_level(level)

quantipy/core/view_generators/view_maps.py

@@ -318,6 +318,10 @@ def frequency(self, link, name, kwargs):
                     per_cell = True
                 elif rel_to_kind[1] == 'y':
                     per_cell = False
+            try:
+                link['x|f|:||{}|counts'.format(weights)]._kwargs['rebased'] = True
+            except:
+                pass
         # ====================================================================
         w = weights if weights is not None else None
         ignore = True if name == 'cbase_gross' else False

quantipy/sandbox/sandbox.py

@@ -1835,7 +1835,7 @@ def _updated_index_tuples(self, axis):
             if (self.array_mi and axis == 1) or axis == 0:
                 self._transf_views = self._insert_viewlikes(merged, mapped)
             else:
-                self._transf_views = self._org_views
+                self._transf_views = self.org_views
             # ================================================================
             i = d = 0
             new_tuples = []
@@ -1857,10 +1857,10 @@ def _reindex(self):
                 x_names = y_names
             else:
                 x_names = ['Array', 'Questions']
-            tuples = self._updated_index_tuples(axis=0)
-            self.df.index = pd.MultiIndex.from_tuples(tuples, names=x_names)
             tuples = self._updated_index_tuples(axis=1)
             self.df.columns = pd.MultiIndex.from_tuples(tuples, names=y_names)
+            tuples = self._updated_index_tuples(axis=0)
+            self.df.index = pd.MultiIndex.from_tuples(tuples, names=x_names)
             return None
 
     def export(self):
@@ -2307,7 +2307,12 @@ def _views_per_rows(self):
     def _valid_views(self, flat=False):
         clean_view_list = []
         valid = self.views.keys()
-        for v in self._given_views:
+        org_vc = self._given_views
+        v_likes = [v for v in valid if v.startswith('__viewlike__')]
+        if isinstance(org_vc, tuple):
+            v_likes = tuple(v_likes)
+        view_coll = org_vc + v_likes
+        for v in view_coll:
             if isinstance(v, (str, unicode)):
                 if v in valid:
                     clean_view_list.append(v)