BUG: combine_first not returning the same dtype in cases where it can (GH3552)

RELEASE.rst

@@ -38,6 +38,7 @@ pandas 0.11.1
   - Fixed various issues with internal pprinting code, the repr() for various objects
     including TimeStamp and *Index now produces valid python code strings and
     can be used to recreate the object, (GH3038_), (GH3379_), (GH3251_)
+  - ``convert_objects`` now accepts a ``copy`` parameter (defaults to ``True``)
   - ``HDFStore``
 
     - will retain index attributes (freq,tz,name) on recreation (GH3499_)
@@ -97,6 +98,7 @@ pandas 0.11.1
   - Raise a TypeError on invalid datetime/timedelta operations
     e.g. add datetimes, multiple timedelta x datetime
   - Fix ``.diff`` on datelike and timedelta operations (GH3100_)
+  - ``combine_first`` not returning the same dtype in cases where it can (GH3552_)
 
 .. _GH3164: https://github.com/pydata/pandas/issues/3164
 .. _GH2786: https://github.com/pydata/pandas/issues/2786
@@ -129,6 +131,7 @@ pandas 0.11.1
 .. _GH3499: https://github.com/pydata/pandas/issues/3499
 .. _GH3495: https://github.com/pydata/pandas/issues/3495
 .. _GH3492: https://github.com/pydata/pandas/issues/3492
+.. _GH3552: https://github.com/pydata/pandas/issues/3552
 .. _GH3493: https://github.com/pydata/pandas/issues/3493
 
 

pandas/core/frame.py

@@ -1627,21 +1627,23 @@ def info(self, verbose=True, buf=None, max_cols=None):
     def dtypes(self):
         return self.apply(lambda x: x.dtype)
 
-    def convert_objects(self, convert_dates=True, convert_numeric=False):
+    def convert_objects(self, convert_dates=True, convert_numeric=False, copy=True):
         """
         Attempt to infer better dtype for object columns
-        Always returns a copy (even if no object columns)
 
         Parameters
         ----------
         convert_dates : if True, attempt to soft convert_dates, if 'coerce', force conversion (and non-convertibles get NaT)
         convert_numeric : if True attempt to coerce to numerbers (including strings), non-convertibles get NaN
+        copy : boolean, return a copy if True (True by default)
 
         Returns
         -------
         converted : DataFrame
         """
-        return self._constructor(self._data.convert(convert_dates=convert_dates, convert_numeric=convert_numeric))
+        return self._constructor(self._data.convert(convert_dates=convert_dates, 
+                                                    convert_numeric=convert_numeric, 
+                                                    copy=copy))
 
     #----------------------------------------------------------------------
     # properties for index and columns
@@ -3735,7 +3737,10 @@ def combine(self, other, func, fill_value=None, overwrite=True):
 
             result[col] = arr
 
-        return self._constructor(result, index=new_index, columns=new_columns)
+        # convert_objects just in case
+        return self._constructor(result, 
+                                 index=new_index, 
+                                 columns=new_columns).convert_objects(copy=False)
 
     def combine_first(self, other):
         """
@@ -4210,7 +4215,7 @@ def _apply_standard(self, func, axis, ignore_failures=False):
 
             if axis == 1:
                 result = result.T
-            result = result.convert_objects()
+            result = result.convert_objects(copy=False)
 
             return result
         else:

pandas/core/series.py

@@ -933,10 +933,9 @@ def astype(self, dtype):
         return self._constructor(casted, index=self.index, name=self.name,
                                  dtype=casted.dtype)
 
-    def convert_objects(self, convert_dates=True, convert_numeric=True):
+    def convert_objects(self, convert_dates=True, convert_numeric=True, copy=True):
         """
         Attempt to infer better dtype
-        Always return a copy
 
         Parameters
         ----------
@@ -946,6 +945,8 @@ def convert_objects(self, convert_dates=True, convert_numeric=True):
         convert_numeric : boolean, default True
             if True attempt to coerce to numbers (including strings),
             non-convertibles get NaN
+        copy : boolean, default True
+            if True return a copy even if not object dtype
 
         Returns
         -------
@@ -955,7 +956,7 @@ def convert_objects(self, convert_dates=True, convert_numeric=True):
             return Series(com._possibly_convert_objects(self.values,
                 convert_dates=convert_dates, convert_numeric=convert_numeric),
                 index=self.index, name=self.name)
-        return self.copy()
+        return self.copy() if copy else self
 
     def repeat(self, reps):
         """

pandas/sparse/frame.py

@@ -125,7 +125,7 @@ def _consolidate_inplace(self):
         # do nothing when DataFrame calls this method
         pass
 
-    def convert_objects(self, convert_dates=True):
+    def convert_objects(self, convert_dates=True, convert_numeric=False, copy=True):
         # XXX
         return self
 

pandas/tests/test_frame.py

@@ -7889,6 +7889,14 @@ def test_combine_first_mixed_bug(self):
         expected = DataFrame({ 'A' : [1,2,3,5,3,7.], 'B' : [np.nan,2,3,4,6,8] })
         assert_frame_equal(result,expected)
 
+        # GH3552, return object dtype with bools
+        df1 = DataFrame([[np.nan, 3.,True], [-4.6, np.nan, True], [np.nan, 7., False]])
+        df2 = DataFrame([[-42.6, np.nan, True], [-5., 1.6, False]], index=[1, 2])
+
+        result = df1.combine_first(df2)[2]
+        expected = Series([True,True,False])
+        assert_series_equal(result,expected) 
+
     def test_update(self):
         df = DataFrame([[1.5, nan, 3.],
                         [1.5, nan, 3.],