API: Warn on empty series dtype

FutureWarning from float to object

Author: TomAugspurger

doc/source/whatsnew/v0.23.0.txt

@@ -862,6 +862,7 @@ Other API Changes
 Deprecations
 ~~~~~~~~~~~~
 
+- The inferred dtype for an empty Series will change from ``float`` to ``object`` (:issue:`17261`).
 - ``Series.from_array`` and ``SparseSeries.from_array`` are deprecated. Use the normal constructor ``Series(..)`` and ``SparseSeries(..)`` instead (:issue:`18213`).
 - ``DataFrame.as_matrix`` is deprecated. Use ``DataFrame.values`` instead (:issue:`18458`).
 - ``Series.asobject``, ``DatetimeIndex.asobject``, ``PeriodIndex.asobject`` and ``TimeDeltaIndex.asobject`` have been deprecated. Use ``.astype(object)`` instead (:issue:`18572`)

pandas/core/series.py

@@ -4084,20 +4084,30 @@ def _try_cast(arr, take_fast_path):
             subarr = data.copy()
         return subarr
 
-    elif isinstance(data, (list, tuple)) and len(data) > 0:
-        if dtype is not None:
-            try:
-                subarr = _try_cast(data, False)
-            except Exception:
-                if raise_cast_failure:  # pragma: no cover
-                    raise
-                subarr = np.array(data, dtype=object, copy=copy)
-                subarr = lib.maybe_convert_objects(subarr)
+    elif isinstance(data, (list, tuple)):
+        if len(data) > 0:
+            if dtype is not None:
+                try:
+                    subarr = _try_cast(data, False)
+                except Exception:
+                    if raise_cast_failure:  # pragma: no cover
+                        raise
+                    subarr = np.array(data, dtype=object, copy=copy)
+                    subarr = lib.maybe_convert_objects(subarr)
 
+            else:
+                subarr = maybe_convert_platform(data)
+            subarr = maybe_cast_to_datetime(subarr, dtype)
         else:
-            subarr = maybe_convert_platform(data)
-
-        subarr = maybe_cast_to_datetime(subarr, dtype)
+            # subarr = np.array([], dtype=dtype or 'object')
+            if dtype is None:
+                msg = ("Inferring 'float' dtype for a length-zero array.\n"
+                       "In a future version of pandas this will change to "
+                       "'object' dtype.\n\tTo maintain the previous behavior, "
+                       "use 'dtype=float'.\n\tTo adopt the new behavior, use "
+                       "'dtype=object'.")
+                warnings.warn(msg, FutureWarning, stacklevel=3)
+            subarr = _try_cast(data, False)
 
     elif isinstance(data, range):
         # GH 16804

pandas/tests/series/test_constructors.py

@@ -115,6 +115,10 @@ def test_constructor_empty(self, input_class):
             empty2 = Series('', index=range(3))
             assert_series_equal(empty, empty2)
 
+    def test_constructor_empty_warns(self):
+        # https://github.com/pandas-dev/pandas/issues/17261
+        with tm.assert_produces_warning(FutureWarning):
+            pd.Series([])
     @pytest.mark.parametrize('input_arg', [np.nan, float('nan')])
     def test_constructor_nan(self, input_arg):
         empty = Series(dtype='float64', index=lrange(10))