Test moved from test_textreader to test_common

Author: roberthdevries

pandas/tests/io/parser/test_common.py

@@ -2079,3 +2079,16 @@ def test_integer_precision(all_parsers):
     result = parser.read_csv(StringIO(s), header=None)[4]
     expected = Series([4321583677327450765, 4321113141090630389], name=4)
     tm.assert_series_equal(result, expected)
+
+
+@pytest.mark.parametrize("nrows", range(1, 6))
+def test_blank_lines_between_header_and_data_rows(all_parsers, nrows):
+    # GH 28071
+    ref = DataFrame(
+        [[np.nan, np.nan], [np.nan, np.nan], [1, 2], [np.nan, np.nan], [3, 4]],
+        columns=list("ab"),
+    )
+    csv = "\nheader\n\na,b\n\n\n1,2\n\n3,4"
+    parser = all_parsers
+    df = parser.read_csv(StringIO(csv), header=3, nrows=nrows, skip_blank_lines=False)
+    tm.assert_frame_equal(df, ref[:nrows])

pandas/tests/io/parser/test_textreader.py

@@ -341,17 +341,6 @@ def test_empty_csv_input(self):
         df = read_csv(StringIO(), chunksize=20, header=None, names=["a", "b", "c"])
         assert isinstance(df, TextFileReader)
 
-    @pytest.mark.parametrize("nrows", range(1,6))
-    def test_blank_lines_between_header_and_data_rows(self, nrows):
-        # GH 28071
-        ref = DataFrame(
-            [[np.nan, np.nan], [np.nan, np.nan], [1, 2], [np.nan, np.nan], [3, 4]],
-            columns=list("ab"),
-        )
-        csv = "\nheader\n\na,b\n\n\n1,2\n\n3,4"
-        df = read_csv(StringIO(csv), header=3, nrows=nrows, skip_blank_lines=False)
-        tm.assert_frame_equal(df, ref[:nrows])
-
 
 def assert_array_dicts_equal(left, right):
     for k, v in left.items():