lint

Author: Ben Kandel

pandas/io/parsers.py

@@ -1512,7 +1512,8 @@ def read(self, nrows=None):
                 index, columns, col_dict = _get_empty_meta(
                     names, self.index_col, self.index_names,
                     dtype=self.kwds.get('dtype'))
-                columns = self._maybe_make_multi_index_columns(columns, self.col_names)
+                columns = self._maybe_make_multi_index_columns(
+                    columns, self.col_names)
 
                 if self.usecols is not None:
                     columns = self._filter_usecols(columns)
@@ -1979,9 +1980,10 @@ def read(self, rows=None):
         if not len(content):  # pragma: no cover
             # DataFrame with the right metadata, even though it's length 0
             names = self._maybe_dedup_names(self.orig_names)
-            index, columns, col_dict = _get_empty_meta(names, self.index_col,
-                                   self.index_names)
-            columns = self._maybe_make_multi_index_columns(columns, self.col_names)
+            index, columns, col_dict = _get_empty_meta(
+                names, self.index_col, self.index_names)
+            columns = self._maybe_make_multi_index_columns(
+                columns, self.col_names)
             return index, columns, col_dict
 
         # handle new style for names in index

pandas/io/tests/parser/common.py

@@ -621,14 +621,13 @@ def test_multi_index_blank_df(self):
 c,d
 """
         df2 = self.read_csv(StringIO(data_multiline), header=[0, 1])
-        cols = MultiIndex.from_tuples([('a','c'), ('b', 'd')])
+        cols = MultiIndex.from_tuples([('a', 'c'), ('b', 'd')])
         expected2 = DataFrame(columns=cols)
         tm.assert_frame_equal(df2, expected2)
         round_trip = self.read_csv(StringIO(
             expected2.to_csv(index=False)), header=[0, 1])
         tm.assert_frame_equal(round_trip, expected2)
 
-
     def test_no_unnamed_index(self):
         data = """ id c0 c1 c2
 0 1 0 a b