Removed is_range, renamed _concat_rangeindex_same_dtype

Author: toobaz

pandas/core/dtypes/common.py

@@ -12,7 +12,7 @@
 from .generic import (ABCCategorical, ABCPeriodIndex,
                       ABCDatetimeIndex, ABCSeries,
                       ABCSparseArray, ABCSparseSeries, ABCCategoricalIndex,
-                      ABCIndexClass, ABCRangeIndex)
+                      ABCIndexClass)
 from .inference import is_string_like
 from .inference import *  # noqa
 
@@ -220,10 +220,6 @@ def is_categorical(arr):
     return isinstance(arr, ABCCategorical) or is_categorical_dtype(arr)
 
 
-def is_range(arr):
-    return isinstance(arr, ABCRangeIndex)
-
-
 def is_datetimetz(arr):
     """
     Check whether an array-like is a datetime array-like with a timezone

pandas/core/dtypes/concat.py

@@ -15,12 +15,11 @@
     is_object_dtype,
     is_bool_dtype,
     is_dtype_equal,
-    is_range,
     _NS_DTYPE,
     _TD_DTYPE)
 from pandas.core.dtypes.generic import (
     ABCDatetimeIndex, ABCTimedeltaIndex,
-    ABCPeriodIndex)
+    ABCPeriodIndex, ABCRangeIndex)
 
 
 def get_dtype_kinds(l):
@@ -42,12 +41,12 @@ def get_dtype_kinds(l):
             typ = 'category'
         elif is_sparse(arr):
             typ = 'sparse'
+        elif isinstance(arr, ABCRangeIndex):
+            typ = 'range'
         elif is_datetimetz(arr):
             # if to_concat contains different tz,
             # the result must be object dtype
             typ = str(arr.dtype)
-        elif is_range(arr):
-            typ = 'range'
         elif is_datetime64_dtype(dtype):
             typ = 'datetime'
         elif is_timedelta64_dtype(dtype):
@@ -564,12 +563,14 @@ def convert_sparse(x, axis):
     return result
 
 
-def _concat_indexes_same_dtype_rangeindex(indexes):
-    # Concatenates multiple RangeIndex instances. All members of "indexes" must
-    # be of type RangeIndex; result will be RangeIndex if possible, Int64Index
-    # otherwise. E.g.:
-    # indexes = [RangeIndex(3), RangeIndex(3, 6)] -> RangeIndex(6)
-    # indexes = [RangeIndex(3), RangeIndex(4, 6)] -> Int64Index([0,1,2,4,5])
+def _concat_rangeindex_same_dtype(indexes):
+    """
+    Concatenates multiple RangeIndex instances. All members of "indexes" must
+    be of type RangeIndex; result will be RangeIndex if possible, Int64Index
+    otherwise. E.g.:
+    indexes = [RangeIndex(3), RangeIndex(3, 6)] -> RangeIndex(6)
+    indexes = [RangeIndex(3), RangeIndex(4, 6)] -> Int64Index([0,1,2,4,5])
+    """
 
     start = step = next = None
 

pandas/core/indexes/range.py

@@ -445,8 +445,7 @@ def join(self, other, how='left', level=None, return_indexers=False,
                                             sort)
 
     def _append_same_dtype(self, indexes, name):
-        return _concat._concat_indexes_same_dtype_rangeindex(indexes
-                                                             ).rename(name)
+        return _concat._concat_rangeindex_same_dtype(indexes).rename(name)
 
     def __len__(self):
         """