Formatting

Author: kprestel

pandas/io/parsers.py

@@ -1662,7 +1662,7 @@ def _convert_to_ndarrays(self, dct, na_values, na_fvalues, verbose=False,
             else:
                 # skip inference if specified dtype is object
                 try_num_bool = not (cast_type and (is_string_dtype(cast_type)
-                                                   or is_extension_array_dtype(cast_type)))
+                                                   or is_extension_array_dtype(cast_type))) # noqa
 
                 # general type inference and conversion
                 cvals, na_count = self._infer_types(
@@ -1671,7 +1671,7 @@ def _convert_to_ndarrays(self, dct, na_values, na_fvalues, verbose=False,
 
                 # type specified in dtype param
                 if cast_type and (not is_dtype_equal(cvals, cast_type)
-                        or is_extension_array_dtype(cast_type)):
+                                  or is_extension_array_dtype(cast_type)):
                     cvals = self._cast_types(cvals, cast_type, c)
 
             result[c] = cvals

pandas/tests/extension/base/io.py

@@ -1,10 +1,14 @@
+import pytest
 import pandas as pd
+import numpy as np
 from pandas.compat import StringIO
 from pandas.core.arrays.integer import (
     Int8Dtype, Int16Dtype, Int32Dtype, Int64Dtype, UInt8Dtype, UInt16Dtype,
-    UInt32Dtype, UInt64Dtype)
+    UInt32Dtype, UInt64Dtype, integer_array,
+)
 from .base import BaseExtensionTests
 
+
 def make_data():
     return (list(range(1, 9)) + [np.nan] + list(range(10, 98))
             + [np.nan] + [99, 100])
@@ -20,6 +24,7 @@ def dtype(request):
 def data(dtype):
     return integer_array(make_data(), dtype=dtype)
 
+
 class ExtensionParsingTests(BaseExtensionTests):
     def test_EA_types(self):
         df = pd.DataFrame({'Int': pd.Series([1, 2, 3], dtype='Int64'),