BUG: Bug in propogating metadata on resample (GH5862)

Author: jreback

doc/source/release.rst

@@ -95,6 +95,7 @@ Bug Fixes
   - Bug in assigning to chained series with a series via ix (:issue:`5928`)
   - Bug in creating an empty DataFrame, copying, then assigning (:issue:`5932`)
   - Bug in DataFrame.tail with empty frame (:issue:`5846`)
+  - Bug in propogating metadata on ``resample`` (:issue:`5862`)
 
 pandas 0.13.0
 -------------

pandas/core/generic.py

@@ -2562,7 +2562,7 @@ def resample(self, rule, how=None, axis=0, fill_method=None,
                               axis=axis, kind=kind, loffset=loffset,
                               fill_method=fill_method, convention=convention,
                               limit=limit, base=base)
-        return sampler.resample(self)
+        return sampler.resample(self).__finalize__(self)
 
     def first(self, offset):
         """

pandas/tests/test_generic.py

@@ -285,7 +285,6 @@ def test_metadata_propagation(self):
         except (AttributeError):
             pass
 
-
         # ---------------------------
         # non-preserving (by default)
         # ---------------------------
@@ -428,6 +427,19 @@ def test_metadata_propagation_indiv(self):
         result = o.T
         self.check_metadata(o,result)
 
+        # resample
+        ts = Series(np.random.rand(1000),
+                    index=date_range('20130101',periods=1000,freq='s'),
+                    name='foo')
+        result = ts.resample('1T')
+        self.check_metadata(ts,result)
+
+        result = ts.resample('1T',how='min')
+        self.check_metadata(ts,result)
+
+        result = ts.resample('1T',how=lambda x: x.sum())
+        self.check_metadata(ts,result)
+
     def test_interpolate(self):
         ts = Series(np.arange(len(self.ts), dtype=float), self.ts.index)
 
@@ -768,6 +780,23 @@ def test_spline(self):
         expected = Series([1, 2, 3, 4, 5, 6, 7])
         assert_series_equal(result, expected)
 
+    def test_metadata_propagation_indiv(self):
+
+        # groupby
+        df = DataFrame({'A': ['foo', 'bar', 'foo', 'bar',
+                              'foo', 'bar', 'foo', 'foo'],
+                        'B': ['one', 'one', 'two', 'three',
+                              'two', 'two', 'one', 'three'],
+                        'C': np.random.randn(8),
+                        'D': np.random.randn(8)})
+        result = df.groupby('A').sum()
+        self.check_metadata(df,result)
+
+        # resample
+        df = DataFrame(np.random.randn(1000,2), index=date_range('20130101',periods=1000,freq='s'))
+        result = df.resample('1T')
+        self.check_metadata(df,result)
+
 class TestPanel(tm.TestCase, Generic):
     _typ = Panel
     _comparator = lambda self, x, y: assert_panel_equal(x, y)