DOC/TST: add test and release notes

Author: cpcloud

RELEASE.rst

@@ -80,6 +80,8 @@ pandas 0.11.1
   - Added Faq section on repr display options, to help users customize their setup.
   - ``where`` operations that result in block splitting are much faster (GH3733_)
   - Series and DataFrame hist methods now take a ``figsize`` argument (GH3834_)
+  - DatetimeIndexes no longer try to convert mixed-integer indexes during join
+    operations (GH3877_)
 
 **API Changes**
 
@@ -317,6 +319,7 @@ pandas 0.11.1
 .. _GH3814: https://github.com/pydata/pandas/issues/3814
 .. _GH3834: https://github.com/pydata/pandas/issues/3834
 .. _GH3873: https://github.com/pydata/pandas/issues/3873
+.. _GH3877: https://github.com/pydata/pandas/issues/3877
 
 
 pandas 0.11.0

doc/source/v0.11.1.txt

@@ -289,6 +289,8 @@ Enhancements
        dff.groupby('B').filter(lambda x: len(x) > 2, dropna=False)
 
   - Series and DataFrame hist methods now take a ``figsize`` argument (GH3834_)
+  - DatetimeIndexes no longer try to convert mixed-integer indexes during join
+    operations (GH3877_)
 
 
 Bug Fixes
@@ -402,3 +404,4 @@ on GitHub for a complete list.
 .. _GH3425: https://github.com/pydata/pandas/issues/3425
 .. _GH3834: https://github.com/pydata/pandas/issues/3834
 .. _GH3873: https://github.com/pydata/pandas/issues/3873
+.. _GH3877: https://github.com/pydata/pandas/issues/3877

pandas/tseries/tests/test_timeseries.py

@@ -18,7 +18,6 @@
 import pandas.core.datetools as datetools
 import pandas.tseries.offsets as offsets
 import pandas.tseries.frequencies as fmod
-from pandas.tseries.index import TimeSeriesError
 import pandas as pd
 
 from pandas.util.testing import assert_series_equal, assert_almost_equal
@@ -1853,6 +1852,14 @@ def test_date(self):
         expected = [t.date() for t in rng]
         self.assert_((result == expected).all())
 
+    def test_does_not_convert_mixed_integer(self):
+        df = tm.makeCustomDataframe(10, 10, data_gen_f=lambda *args, **kwargs:
+                                    randn(), r_idx_type='i', c_idx_type='dt')
+        cols = df.columns.join(df.index, how='outer')
+        joined = cols.join(df.columns)
+        self.assertEqual(cols.dtype, np.dtype('O'))
+        self.assertEqual(cols.dtype, joined.dtype)
+        self.assert_(np.array_equal(cols.values, joined.values))
 
 class TestLegacySupport(unittest.TestCase):
     _multiprocess_can_split_ = True