Merging master

Author: kprestel

pandas/_libs/parsers.pyx

@@ -1240,10 +1240,10 @@ cdef class TextReader:
                         array_type = dtype.construct_array_type()
                     try:
                         # use _from_sequence_of_strings if the class defines it
-                        return array_type._from_sequence_of_strings(result,
+                        result = array_type._from_sequence_of_strings(result,
                                                                     dtype=dtype) # noqa
                     except AbstractMethodError:
-                        return array_type._from_sequence(result, dtype=dtype)
+                        result = array_type._from_sequence(result, dtype=dtype)
                 else:
                     result = result.astype(dtype)
 
@@ -1262,10 +1262,10 @@ cdef class TextReader:
                         array_type = dtype.construct_array_type()
                     try:
                         # use _from_sequence_of_strings if the class defines it
-                        return array_type._from_sequence_of_strings(result,
+                        result = array_type._from_sequence_of_strings(result,
                                                                     dtype=dtype) # noqa
                     except AbstractMethodError:
-                        return array_type._from_sequence(result, dtype=dtype)
+                        result = array_type._from_sequence(result, dtype=dtype)
                 else:
                     result = result.astype(dtype)
             return result, na_count

pandas/core/internals/construction.py

@@ -558,7 +558,8 @@ def sanitize_array(data, index, dtype=None, copy=False,
             subarr = np.array(data, copy=False)
 
             # possibility of nan -> garbage
-            if is_float_dtype(data.dtype) and is_integer_dtype(dtype):
+            if is_float_dtype(data.dtype) and is_integer_dtype(dtype) \
+                and not is_extension_array_dtype(dtype):
                 if not isna(data).any():
                     subarr = _try_cast(data, True, dtype, copy,
                                        raise_cast_failure)

pandas/io/parsers.py

@@ -1669,8 +1669,8 @@ def _convert_to_ndarrays(self, dct, na_values, na_fvalues, verbose=False,
                     try_num_bool)
 
                 # type specified in dtype param
-                if cast_type and not (is_dtype_equal(cvals, cast_type)
-                        or is_extension_array_dtype(cast_type)):
+                if cast_type and not is_dtype_equal(cvals, cast_type):
+                        # or is_extension_array_dtype(cast_type)):
                     try:
                         if (is_bool_dtype(cast_type) and
                                 not is_categorical_dtype(cast_type)