support non_unique better

Author: jreback

pandas/indexes/interval.py

@@ -20,6 +20,11 @@
 from pandas._interval import (Interval, IntervalMixin, IntervalTree,
                               intervals_to_interval_bounds)
 from pandas.util.decorators import cache_readonly, Appender
+import pandas.indexes.base as ibase
+_index_doc_kwargs = dict(ibase._index_doc_kwargs)
+_index_doc_kwargs.update(
+    dict(klass='IntervalIndex',
+         target_klass='IntervalIndex or list of Intervals'))
 
 
 _VALID_CLOSED = set(['left', 'right', 'both', 'neither'])
@@ -411,7 +416,7 @@ def _convert_list_indexer(self, keyarr, kind=None):
         Return our indexer or raise if all of the values are not
         included in the categories
         """
-        locs = self.get_indexer(keyarr)
+        locs = self.get_indexer_for(keyarr)
         check = locs == -1
         locs = locs[~check]
         return locs
@@ -501,6 +506,7 @@ def get_value(self, series, key):
         loc = self.get_loc(key)  # nb. this can't handle slice objects
         return series.iloc[loc]
 
+    @Appender(_index_shared_docs['get_indexer'] % _index_doc_kwargs)
     def get_indexer(self, target, method=None, limit=None, tolerance=None):
         self._check_method(method)
         target = _ensure_index(target)
@@ -519,12 +525,15 @@ def get_indexer(self, target, method=None, limit=None, tolerance=None):
                 'for IntervalIndex indexers')
 
         if not self.is_unique:
-            indexer, missing = self._engine.get_indexer_non_unique(
-                target.values)
-        else:
-            indexer = self._engine.get_indexer(target.values)
+            raise ValueError("get_indexer cannot handle non-unique indices")
+
+        indexer = self._engine.get_indexer(target.values)
         return indexer
 
+    @Appender(_index_shared_docs['get_indexer_non_unique'] % _index_doc_kwargs)
+    def get_indexer_non_unique(self, target):
+        return super(IntervalIndex, self).get_indexer_non_unique(target)
+
     def sort_values(self, return_indexer=False, ascending=True):
         """
         Return sorted copy of Index
@@ -583,7 +592,7 @@ def _append_same_dtype(self, to_concat, name):
             raise ValueError(msg)
         return super(IntervalIndex, self)._append_same_dtype(to_concat, name)
 
-    @Appender(_index_shared_docs['take'])
+    @Appender(_index_shared_docs['take'] % _index_doc_kwargs)
     def take(self, indices, axis=0, allow_fill=True,
              fill_value=None, **kwargs):
         nv.validate_take(tuple(), kwargs)