TST: pep8 (pandas-dev#20377)

Author: nikoskaragiannakis

pandas/tests/io/parser/na_values.py

@@ -377,7 +377,9 @@ def test_na_values_with_dtype_str_and_na_filter_true(self):
         out = self.read_csv(StringIO(data), na_filter=True, dtype=str)
 
         # missing data turn to np.nan, which stays as it is after dtype=str
-        expected = DataFrame({"a": ["1", "4"], "b": [np.nan, "5"], "c": ["3", "6"]})
+        expected = DataFrame({"a": ["1", "4"],
+                              "b": [np.nan, "5"],
+                              "c": ["3", "6"]})
         tm.assert_frame_equal(out, expected)
 
     def test_na_values_with_dtype_str_and_na_filter_false(self):
@@ -387,5 +389,7 @@ def test_na_values_with_dtype_str_and_na_filter_false(self):
         out = self.read_csv(StringIO(data), na_filter=False, dtype=str)
 
         # missing data turn to empty string
-        expected = DataFrame({"a": ["1", "4"], "b": ["", "5"], "c": ["3", "6"]})
+        expected = DataFrame({"a": ["1", "4"],
+                              "b": ["", "5"],
+                              "c": ["3", "6"]})
         tm.assert_frame_equal(out, expected)

pandas/tests/io/test_excel.py

@@ -365,8 +365,7 @@ def test_reader_dtype_str(self, ext):
         basename = 'testdtype'
         actual = self.get_exceldf(basename, ext)
 
-        expected = DataFrame({
-          'a': [1.0, 2.0, np.nan, 4.0]})
+        expected = DataFrame({'a': [1.0, 2.0, np.nan, 4.0]})
 
         tm.assert_frame_equal(actual, expected)