Changed uin8 to uint8 in response to issue #9266

pandas/io/parsers.py

@@ -991,7 +991,7 @@ def _convert_to_ndarrays(self, dct, na_values, na_fvalues, verbose=False,
                 try:
                     values = lib.map_infer(values, conv_f)
                 except ValueError:
-                    mask = lib.ismember(values, na_values).view(np.uin8)
+                    mask = lib.ismember(values, na_values).view(np.uint8)
                     values = lib.map_infer_mask(values, conv_f, mask)
                 coerce_type = False
 

pandas/io/tests/test_parsers.py

@@ -2984,6 +2984,28 @@ def test_variable_width_unicode(self):
         tm.assert_frame_equal(expected, read_fwf(BytesIO(test.encode('utf8')),
                                                  header=None, encoding='utf8'))
 
+    def test_convert_to_nd_arrays(self):
+        #GH 9266
+        with open('test.txt','w') as f:
+            f.write(
+                """1421302964.213420    PRI=3 PGN=0xef00      DST=0x17 SRC=0x28    04 154 00 00 00 00 00 127 \n"""
+            +   """1421302964.226776    PRI=6 PGN=0xf002               SRC=0x47    243 00 00 255 247 00 00 71"""
+                )
+        try:
+            pd.read_fwf('test.txt', colspecs=[(0,17),(25,26),(33,37),(49,51),(58,62),(63,1000)],
+                      names=['time','pri','pgn','dst','src','data'],
+                      converters={'pgn':lambda x: int(x,16),
+                                  'src':lambda x: int(x,16),
+                                  'dst':lambda x: int(x,16),
+                                  'data':lambda x: len(x.split(' '))},
+                                   index_col='time')
+        except AttributeError:
+              self.assertIn('Error with read_fwf function.')
+
+
+
+
+
 
 class TestCParserHighMemory(ParserTests, tm.TestCase):