TST: move empty dtype tests from c_parser_only to dtype tests

Author: jorisvandenbossche

pandas/io/tests/parser/c_parser_only.py

@@ -371,49 +371,3 @@ def test_internal_null_byte(self):
 
         result = self.read_csv(StringIO(data), names=names)
         tm.assert_frame_equal(result, expected)
-
-    def test_empty_dtype(self):
-        # see gh-14712
-        data = 'a,b'
-
-        expected = pd.DataFrame(columns=['a', 'b'], dtype=np.float64)
-        result = self.read_csv(StringIO(data), header=0, dtype=np.float64)
-        tm.assert_frame_equal(result, expected)
-
-        expected = pd.DataFrame({'a': pd.Categorical([]),
-                                 'b': pd.Categorical([])},
-                                index=[])
-        result = self.read_csv(StringIO(data), header=0,
-                               dtype='category')
-        tm.assert_frame_equal(result, expected)
-
-        expected = pd.DataFrame(columns=['a', 'b'], dtype='datetime64[ns]')
-        result = self.read_csv(StringIO(data), header=0,
-                               dtype='datetime64[ns]')
-        tm.assert_frame_equal(result, expected)
-
-        expected = pd.DataFrame({'a': pd.Series([], dtype='timedelta64[ns]'),
-                                 'b': pd.Series([], dtype='timedelta64[ns]')},
-                                index=[])
-        result = self.read_csv(StringIO(data), header=0,
-                               dtype='timedelta64[ns]')
-        tm.assert_frame_equal(result, expected)
-
-        expected = pd.DataFrame(columns=['a', 'b'])
-        expected['a'] = expected['a'].astype(np.float64)
-        result = self.read_csv(StringIO(data), header=0,
-                               dtype={'a': np.float64})
-        tm.assert_frame_equal(result, expected)
-
-        expected = pd.DataFrame(columns=['a', 'b'])
-        expected['a'] = expected['a'].astype(np.float64)
-        result = self.read_csv(StringIO(data), header=0,
-                               dtype={0: np.float64})
-        tm.assert_frame_equal(result, expected)
-
-        expected = pd.DataFrame(columns=['a', 'b'])
-        expected['a'] = expected['a'].astype(np.int32)
-        expected['b'] = expected['b'].astype(np.float64)
-        result = self.read_csv(StringIO(data), header=0,
-                               dtype={'a': np.int32, 1: np.float64})
-        tm.assert_frame_equal(result, expected)

pandas/io/tests/parser/dtypes.py

@@ -226,3 +226,49 @@ def test_dtype_with_converter(self):
                                    converters={'a': lambda x: str(x)})
         expected = DataFrame({'a': ['1.1', '1.2'], 'b': [2.2, 2.3]})
         tm.assert_frame_equal(result, expected)
+
+    def test_empty_dtype(self):
+        # see gh-14712
+        data = 'a,b'
+
+        expected = pd.DataFrame(columns=['a', 'b'], dtype=np.float64)
+        result = self.read_csv(StringIO(data), header=0, dtype=np.float64)
+        tm.assert_frame_equal(result, expected)
+
+        expected = pd.DataFrame({'a': pd.Categorical([]),
+                                 'b': pd.Categorical([])},
+                                index=[])
+        result = self.read_csv(StringIO(data), header=0,
+                               dtype='category')
+        tm.assert_frame_equal(result, expected)
+
+        expected = pd.DataFrame(columns=['a', 'b'], dtype='datetime64[ns]')
+        result = self.read_csv(StringIO(data), header=0,
+                               dtype='datetime64[ns]')
+        tm.assert_frame_equal(result, expected)
+
+        expected = pd.DataFrame({'a': pd.Series([], dtype='timedelta64[ns]'),
+                                 'b': pd.Series([], dtype='timedelta64[ns]')},
+                                index=[])
+        result = self.read_csv(StringIO(data), header=0,
+                               dtype='timedelta64[ns]')
+        tm.assert_frame_equal(result, expected)
+
+        expected = pd.DataFrame(columns=['a', 'b'])
+        expected['a'] = expected['a'].astype(np.float64)
+        result = self.read_csv(StringIO(data), header=0,
+                               dtype={'a': np.float64})
+        tm.assert_frame_equal(result, expected)
+
+        expected = pd.DataFrame(columns=['a', 'b'])
+        expected['a'] = expected['a'].astype(np.float64)
+        result = self.read_csv(StringIO(data), header=0,
+                               dtype={0: np.float64})
+        tm.assert_frame_equal(result, expected)
+
+        expected = pd.DataFrame(columns=['a', 'b'])
+        expected['a'] = expected['a'].astype(np.int32)
+        expected['b'] = expected['b'].astype(np.float64)
+        result = self.read_csv(StringIO(data), header=0,
+                               dtype={'a': np.int32, 1: np.float64})
+        tm.assert_frame_equal(result, expected)