BUG: Convert data elements when dtype=str in Series constructor with int/float list

Author: reidy-p

doc/source/whatsnew/v0.22.0.txt

@@ -265,6 +265,7 @@ Conversion
 - Fixed a bug where ``FY5253`` date offsets could incorrectly raise an ``AssertionError`` in arithmetic operatons (:issue:`14774`)
 - Bug in :meth:`Index.astype` with a categorical dtype where the resultant index is not converted to a :class:`CategoricalIndex` for all types of index (:issue:`18630`)
 - Bug in :meth:`Series.astype` and ``Categorical.astype()`` where an existing categorical data does not get updated (:issue:`10696`, :issue:`18593`)
+- Bug in :class:`Series` constructor with an int or float list where specifying ``dtype=str``, ``dtype='str'`` or ``dtype='U'`` failed to convert the data elements to strings (:issue:`16605`)
 
 
 Indexing

pandas/core/series.py

@@ -3272,6 +3272,11 @@ def _try_cast(arr, take_fast_path):
     # This is to prevent mixed-type Series getting all casted to
     # NumPy string type, e.g. NaN --> '-1#IND'.
     if issubclass(subarr.dtype.type, compat.string_types):
+        # GH 16605
+        # If not empty convert the data to dtype
+        if not isna(data).all():
+            data = np.array(data, dtype=dtype)
+
         subarr = np.array(data, dtype=object, copy=copy)
 
     return subarr

pandas/tests/series/test_constructors.py

@@ -142,6 +142,22 @@ def test_constructor_list_like(self):
             result = Series(obj, index=[0, 1, 2])
             assert_series_equal(result, expected)
 
+    @pytest.mark.parametrize('input_vals, dtype, expected', [
+        ([1, 2, 3], 'str', ['1', '2', '3']),
+        ([1, 2, 3], str, ['1', '2', '3']),
+        ([1, 2, 3], 'U', ['1', '2', '3']),
+        ([1.0, 2.0, 3.0], 'str', ['1.0', '2.0', '3.0']),
+        ([1.0, 2.0, 3.0], str, ['1.0', '2.0', '3.0']),
+        ([1.0, 2.0, 3.0], 'U', ['1.0', '2.0', '3.0'])
+    ])
+    def test_constructor_list_str(self, input_vals, dtype, expected):
+        # GH 16605
+        # Ensure that data elements are converted to strings when
+        # dtype is str, 'str', or 'U'
+
+        result = Series(input_vals, dtype=dtype)
+        assert_series_equal(result, Series(expected))
+
     def test_constructor_generator(self):
         gen = (i for i in range(10))