TST/CLN: remove duplicate data file used in tests (unicode_series.csv)

pandas/tests/io/conftest.py

@@ -14,6 +14,12 @@ def jsonl_file(datapath):
     return datapath('io', 'parser', 'data', 'items.jsonl')
 
 
+@pytest.fixture
+def unicode_series_file(datapath):
+    """Path to unicode_series dataset"""
+    return datapath('io', 'data', 'unicode_series.csv')
+
+
 @pytest.fixture
 def salaries_table(datapath):
     """DataFrame with the salaries dataset"""

pandas/tests/io/formats/test_format.py

@@ -954,9 +954,8 @@ def test_unicode_problem_decoding_as_ascii(self):
         dm = DataFrame({u('c/\u03c3'): Series({'test': np.nan})})
         compat.text_type(dm.to_string())
 
-    def test_string_repr_encoding(self, datapath):
-        filepath = datapath('io', 'formats', 'data', 'unicode_series.csv')
-        df = pd.read_csv(filepath, header=None, encoding='latin1')
+    def test_string_repr_encoding(self, unicode_series_file):
+        df = pd.read_csv(unicode_series_file, header=None, encoding='latin1')
         repr(df)
         repr(df[1])
 

pandas/tests/io/parser/common.py

@@ -765,10 +765,9 @@ def test_utf16_example(self, datapath):
             result = self.read_table(buf, encoding='utf-16')
             assert len(result) == 50
 
-    def test_unicode_encoding(self, datapath):
-        pth = datapath('io', 'parser', 'data', 'unicode_series.csv')
-
-        result = self.read_csv(pth, header=None, encoding='latin-1')
+    def test_unicode_encoding(self, unicode_series_file):
+        result = self.read_csv(unicode_series_file,
+                               header=None, encoding='latin-1')
         result = result.set_index(0)
 
         got = result[1][1632]

pandas/tests/io/parser/dtypes.py

@@ -125,13 +125,14 @@ def test_categorical_dtype_high_cardinality_numeric(self):
             np.sort(actual.a.cat.categories), ordered=True)
         tm.assert_frame_equal(actual, expected)
 
-    def test_categorical_dtype_encoding(self, datapath):
+    def test_categorical_dtype_encoding(self, datapath, unicode_series_file):
         # GH 10153
-        pth = datapath('io', 'parser', 'data', 'unicode_series.csv')
         encoding = 'latin-1'
-        expected = self.read_csv(pth, header=None, encoding=encoding)
+        expected = self.read_csv(unicode_series_file,
+                                 header=None, encoding=encoding)
         expected[1] = Categorical(expected[1])
-        actual = self.read_csv(pth, header=None, encoding=encoding,
+        actual = self.read_csv(unicode_series_file,
+                               header=None, encoding=encoding,
                                dtype={1: 'category'})
         tm.assert_frame_equal(actual, expected)