Fix lint errors

Author: Brian Tu

pandas/core/indexes/base.py

@@ -90,6 +90,7 @@ class InvalidIndexError(Exception):
 _o_dtype = np.dtype(object)
 _Identity = object
 
+
 def _new_Index(cls, d):
     """ This is called upon unpickling, rather than the default which doesn't
     have arguments and breaks __new__

pandas/core/indexes/numeric.py

@@ -76,12 +76,12 @@ def _convert_tolerance(self, tolerance):
         if not np.issubdtype(tolerance.dtype, np.number):
             if tolerance.ndim > 0:
                 raise ValueError(('tolerance argument for %s must contain '
-                                    'numeric elements if it is list type') %
-                                    (type(self).__name__,))
+                                  'numeric elements if it is list type') %
+                                  (type(self).__name__,))
             else:
                 raise ValueError(('tolerance argument for %s must be numeric '
-                                    'if it is a scalar: %r') %
-                                    (type(self).__name__, tolerance))
+                                  'if it is a scalar: %r') %
+                                  (type(self).__name__, tolerance))
         return tolerance
 
     @classmethod

pandas/tests/indexes/test_base.py

@@ -1188,7 +1188,7 @@ def test_get_indexer_strings(self):
         with pytest.raises(TypeError):
             idx.get_indexer(['a', 'b', 'c', 'd'], method='pad',
                             tolerance=[2, 2, 2, 2])
-            
+
     def test_get_indexer_numeric_index_boolean_target(self):
         # GH 16877
         numeric_idx = pd.Index(range(4))