Revert "Added '__N__' meta-column to result plots."

This reverts commit 3d0c004.

coba/results/core.py

@@ -1823,8 +1823,6 @@ def make_gets(cols):
             for col in cols:
                 if isinstance(col,(tuple,list)):
                     yield lambda e,l,v,s,N,G=list(make_gets(col)): zip(*map(methodcaller('__call__',e,l,v,s,N),G)) if N != 0 else tuple(map(methodcaller('__call__',e,l,v,s,N),G))
-                elif col == '__N__':
-                    yield lambda e,l,v,s,N,col=col: range(1,N+1)
                 elif col in self.environments.columns:
                     yield lambda e,l,v,s,N,col=col: repeat(e[col],N) if N != 0 else e[col]
                 elif col in self.learners.columns or col == 'full_name':
@@ -1838,7 +1836,6 @@ def make_gets(cols):
         icols = list(get_icols(keys))
         icols.reverse()
 
-        if '__N__' in keys: icols += ['index']
         if y: icols += [y]
         for (eid,lid,vid), sel in self.interactions.groupby(3,icols):
 
@@ -1848,7 +1845,6 @@ def make_gets(cols):
 
             Y = sel.pop() if y else None
             N = 0 if not sel else len(sel[0])
-            if '__N__' in keys: sel.pop()
 
             outs = tuple(map(methodcaller('__call__',env,lrn,val,sel,N),gets))
 

coba/tests/test_results_core.py

@@ -1791,22 +1791,6 @@ def test_raw_learners_all_default(self):
         self.assertEqual(table['1. learner_1'],[[1,1],[1.5,1.5]])
         self.assertEqual(table['2. learner_2'],[[1,2],[2,3]])
 
-    def test_raw_learners_select_n_column(self):
-        envs = [['environment_id'],[0],[1]]
-        lrns = [['learner_id', 'family'],[1,'learner_1'],[2,'learner_2']]
-        vals = [['evaluator_id'],[0]]
-        ints = [['environment_id','learner_id','evaluator_id','index','reward'],
-                [0,1,0,1,1],[0,1,0,3,2],
-                [0,2,0,1,1],[0,2,0,3,3],
-                [1,1,0,1,1],[1,1,0,3,2],
-                [1,2,0,1,2],[1,2,0,3,4],
-        ]
-        table = Result(envs, lrns, vals, ints).raw_learners(x="__N__")
-        self.assertEqual(('x','1. learner_1','2. learner_2'), table.columns)
-        self.assertEqual(table['x'], [1,2])
-        self.assertEqual(table['1. learner_1'],[[1,1],[1.5,1.5]])
-        self.assertEqual(table['2. learner_2'],[[1,2],[2,3]])
-
     def test_raw_learners_tuple1(self):
         envs = [['environment_id'],[0],[1]]
         lrns = [['learner_id', 'family'],[1,'learner_1'],[2,'learner_2']]