REF: _get_objs_combined_axis

Author: toobaz

pandas/core/frame.py

@@ -6126,12 +6126,10 @@ def _list_to_arrays(data, columns, coerce_float=False, dtype=None):
 
 
 def _list_of_series_to_arrays(data, columns, coerce_float=False, dtype=None):
-    from pandas.core.index import _get_combined_index
+    from pandas.core.index import _get_objs_combined_axis
 
     if columns is None:
-        columns = _get_combined_index([
-            s.index for s in data if getattr(s, 'index', None) is not None
-        ])
+        columns = _get_objs_combined_axis(data)
 
     indexer_cache = {}
 

pandas/core/indexes/api.py

@@ -23,11 +23,22 @@
            'PeriodIndex', 'DatetimeIndex',
            '_new_Index', 'NaT',
            '_ensure_index', '_get_na_value', '_get_combined_index',
+           '_get_objs_combined_axis',
            '_get_distinct_indexes', '_union_indexes',
            '_get_consensus_names',
            '_all_indexes_same']
 
 
+def _get_objs_combined_axis(objs, intersect=False, axis=0):
+    # Extract combined index: return intersection or union (depending on the
+    # value of "intersect") of indexes on given axis, or None if all objects
+    # lack indexes (e.g. they are numpy arrays)
+    obs_idxes = [obj._get_axis(axis) for obj in objs
+                 if hasattr(obj, '_get_axis')]
+    if obs_idxes:
+        return _get_combined_index(obs_idxes, intersect=intersect)
+
+
 def _get_combined_index(indexes, intersect=False):
     # TODO: handle index names!
     indexes = _get_distinct_indexes(indexes)

pandas/core/reshape/pivot.py

@@ -8,7 +8,7 @@
 from pandas.core.series import Series
 from pandas.core.groupby import Grouper
 from pandas.core.reshape.util import cartesian_product
-from pandas.core.index import Index, _get_combined_index
+from pandas.core.index import Index, _get_objs_combined_axis
 from pandas.compat import range, lrange, zip
 from pandas import compat
 import pandas.core.common as com
@@ -440,12 +440,7 @@ def crosstab(index, columns, values=None, rownames=None, colnames=None,
     rownames = _get_names(index, rownames, prefix='row')
     colnames = _get_names(columns, colnames, prefix='col')
 
-    obs_idxes = [obj.index for objs in (index, columns) for obj in objs
-                 if hasattr(obj, 'index')]
-    if obs_idxes:
-        common_idx = _get_combined_index(obs_idxes, intersect=True)
-    else:
-        common_idx = None
+    common_idx = _get_objs_combined_axis(index + columns, intersect=True)
 
     data = {}
     data.update(zip(rownames, index))