Squashed commit of the following:

commit bccfc3f
Merge: d65980e 9caf048
Author: Tom Augspurger <tom.w.augspurger@gmail.com>
Date:   Tue Oct 2 13:47:48 2018 -0500

    Merge remote-tracking branch 'upstream/master' into period-dtype-type

commit 9caf048
Author: Tom Augspurger <TomAugspurger@users.noreply.github.com>
Date:   Tue Oct 2 13:25:22 2018 -0500

    CI: change windows vm image (pandas-dev#22948)

commit d65980e
Author: Tom Augspurger <tom.w.augspurger@gmail.com>
Date:   Tue Oct 2 11:46:38 2018 -0500

    typo

commit e5c61fc
Merge: d7a8e1b 1d9f76c
Author: Tom Augspurger <tom.w.augspurger@gmail.com>
Date:   Tue Oct 2 10:57:59 2018 -0500

    Merge remote-tracking branch 'upstream/master' into period-dtype-type

commit d7a8e1b
Author: Tom Augspurger <tom.w.augspurger@gmail.com>
Date:   Tue Oct 2 10:57:56 2018 -0500

    Fixed

commit 598cc62
Author: Tom Augspurger <tom.w.augspurger@gmail.com>
Date:   Tue Oct 2 10:32:22 2018 -0500

    doc note

commit 83db05c
Author: Tom Augspurger <tom.w.augspurger@gmail.com>
Date:   Tue Oct 2 10:28:52 2018 -0500

    updates

commit 1d9f76c
Author: Joris Van den Bossche <jorisvandenbossche@gmail.com>
Date:   Tue Oct 2 17:11:11 2018 +0200

    CLN: remove Index._to_embed (pandas-dev#22879)

    * CLN: remove Index._to_embed

    * pep8

commit 6247da0
Author: Tom Augspurger <TomAugspurger@users.noreply.github.com>
Date:   Tue Oct 2 08:50:41 2018 -0500

    Provide default implementation for `data_repated` (pandas-dev#22935)

commit f07ab80
Author: Tom Augspurger <tom.w.augspurger@gmail.com>
Date:   Tue Oct 2 06:22:27 2018 -0500

    str, bytes

commit 8a8bdb0
Author: Tom Augspurger <tom.w.augspurger@gmail.com>
Date:   Mon Oct 1 21:40:59 2018 -0500

    import at top

commit 99bafdd
Author: Tom Augspurger <tom.w.augspurger@gmail.com>
Date:   Mon Oct 1 21:38:12 2018 -0500

    Update type for PeriodDtype

    Removed unused IntervalDtypeType

commit 5ce06b5
Author: Matthew Roeschke <emailformattr@gmail.com>
Date:   Mon Oct 1 14:22:20 2018 -0700

     BUG: to_datetime preserves name of Index argument in the result (pandas-dev#22918)

    * BUG: to_datetime preserves name of Index argument in the result

    * correct test

azure-pipelines.yml

@@ -18,8 +18,8 @@ jobs:
 - template: ci/azure/windows.yml
   parameters:
     name: Windows
-    vmImage: vs2017-win2017
+    vmImage: vs2017-win2016
 - template: ci/azure/windows-py27.yml
   parameters:
     name: WindowsPy27
-    vmImage: vs2017-win2017
+    vmImage: vs2017-win2016

doc/source/whatsnew/v0.24.0.txt

@@ -505,6 +505,7 @@ ExtensionType Changes
 - :meth:`Series.astype` and :meth:`DataFrame.astype` now dispatch to :meth:`ExtensionArray.astype` (:issue:`21185:`).
 - Slicing a single row of a ``DataFrame`` with multiple ExtensionArrays of the same type now preserves the dtype, rather than coercing to object (:issue:`22784`)
 - Added :meth:`pandas.api.types.register_extension_dtype` to register an extension type with pandas (:issue:`22664`)
+- Updated the ``.type`` attribute for ``PeriodDtype``, ``DatetimeTZDtype``, and ``IntervalDtype`` to be instances of the dtype (``Period``, ``Timestamp``, and ``Interval`` respectively) (:issue:`22938`)
 
 .. _whatsnew_0240.api.incompatibilities:
 

pandas/core/dtypes/base.py

@@ -175,7 +175,9 @@ def type(self):
         """The scalar type for the array, e.g. ``int``
 
         It's expected ``ExtensionArray[item]`` returns an instance
-        of ``ExtensionDtype.type`` for scalar ``item``.
+        of ``ExtensionDtype.type`` for scalar ``item``, assuming
+        that value is valid (not NA). NA values do not need to be
+        instances of `type`.
         """
         raise AbstractMethodError(self)
 

pandas/core/dtypes/common.py

@@ -4,12 +4,13 @@
 from pandas.compat import (string_types, text_type, binary_type,
                            PY3, PY36)
 from pandas._libs import algos, lib
-from pandas._libs.tslibs import conversion, Period
+from pandas._libs.tslibs import conversion, Period, Timestamp
+from pandas._libs.interval import Interval
 
 from pandas.core.dtypes.dtypes import (
     registry, CategoricalDtype, CategoricalDtypeType, DatetimeTZDtype,
-    DatetimeTZDtypeType, PeriodDtype, IntervalDtype,
-    IntervalDtypeType, PandasExtensionDtype, ExtensionDtype,
+    PeriodDtype, IntervalDtype,
+    PandasExtensionDtype, ExtensionDtype,
     _pandas_registry)
 from pandas.core.dtypes.generic import (
     ABCCategorical, ABCPeriodIndex, ABCDatetimeIndex, ABCSeries,
@@ -1903,20 +1904,20 @@ def _get_dtype_type(arr_or_dtype):
     elif isinstance(arr_or_dtype, CategoricalDtype):
         return CategoricalDtypeType
     elif isinstance(arr_or_dtype, DatetimeTZDtype):
-        return DatetimeTZDtypeType
+        return Timestamp
     elif isinstance(arr_or_dtype, IntervalDtype):
-        return IntervalDtypeType
+        return Interval
     elif isinstance(arr_or_dtype, PeriodDtype):
-        return arr_or_dtype.type
+        return Period
     elif isinstance(arr_or_dtype, string_types):
         if is_categorical_dtype(arr_or_dtype):
             return CategoricalDtypeType
         elif is_datetime64tz_dtype(arr_or_dtype):
-            return DatetimeTZDtypeType
+            return Timestamp
         elif is_period_dtype(arr_or_dtype):
             return Period
         elif is_interval_dtype(arr_or_dtype):
-            return IntervalDtypeType
+            return Interval
         return _get_dtype_type(np.dtype(arr_or_dtype))
     try:
         return arr_or_dtype.dtype.type

pandas/core/dtypes/dtypes.py

@@ -4,7 +4,8 @@
 import numpy as np
 from pandas import compat
 from pandas.core.dtypes.generic import ABCIndexClass, ABCCategoricalIndex
-from pandas._libs.tslibs import Period, NaT
+from pandas._libs.tslibs import Period, NaT, Timestamp
+from pandas._libs.interval import Interval
 
 from .base import ExtensionDtype, _DtypeOpsMixin
 
@@ -470,13 +471,6 @@ def _is_boolean(self):
         return is_bool_dtype(self.categories)
 
 
-class DatetimeTZDtypeType(type):
-    """
-    the type of DatetimeTZDtype, this metaclass determines subclass ability
-    """
-    pass
-
-
 class DatetimeTZDtype(PandasExtensionDtype):
 
     """
@@ -486,7 +480,7 @@ class DatetimeTZDtype(PandasExtensionDtype):
     THIS IS NOT A REAL NUMPY DTYPE, but essentially a sub-class of
     np.datetime64[ns]
     """
-    type = DatetimeTZDtypeType
+    type = Timestamp
     kind = 'M'
     str = '|M8[ns]'
     num = 101
@@ -660,11 +654,11 @@ def construct_from_string(cls, string):
         raise TypeError("could not construct PeriodDtype")
 
     def __unicode__(self):
-        return self.name
+        return compat.text_type(self.name)
 
     @property
     def name(self):
-        return u"period[{freq}]".format(freq=self.freq.freqstr)
+        return str("period[{freq}]".format(freq=self.freq.freqstr))
 
     @property
     def na_value(self):
@@ -709,13 +703,6 @@ def construct_array_type(cls):
         return PeriodArray
 
 
-class IntervalDtypeType(type):
-    """
-    the type of IntervalDtype, this metaclass determines subclass ability
-    """
-    pass
-
-
 @register_extension_dtype
 class IntervalDtype(PandasExtensionDtype, ExtensionDtype):
     """
@@ -804,7 +791,6 @@ def construct_from_string(cls, string):
 
     @property
     def type(self):
-        from pandas import Interval
         return Interval
 
     def __unicode__(self):

pandas/tests/dtypes/test_common.py

@@ -605,15 +605,15 @@ def test__get_dtype_fails(input_param):
     (pd.DatetimeIndex([1, 2]), np.datetime64),
     (pd.DatetimeIndex([1, 2]).dtype, np.datetime64),
     ('<M8[ns]', np.datetime64),
-    (pd.DatetimeIndex([1, 2], tz='Europe/London'), com.DatetimeTZDtypeType),
+    (pd.DatetimeIndex([1, 2], tz='Europe/London'), pd.Timestamp),
     (pd.DatetimeIndex([1, 2], tz='Europe/London').dtype,
-     com.DatetimeTZDtypeType),
-    ('datetime64[ns, Europe/London]', com.DatetimeTZDtypeType),
+     pd.Timestamp),
+    ('datetime64[ns, Europe/London]', pd.Timestamp),
     (pd.SparseSeries([1, 2], dtype='int32'), np.int32),
     (pd.SparseSeries([1, 2], dtype='int32').dtype, np.int32),
     (PeriodDtype(freq='D'), pd.Period),
     ('period[D]', pd.Period),
-    (IntervalDtype(), com.IntervalDtypeType),
+    (IntervalDtype(), pd.Interval),
     (None, type(None)),
     (1, type(None)),
     (1.2, type(None)),

pandas/tests/extension/conftest.py

@@ -32,13 +32,6 @@ def all_data(request, data, data_missing):
 
 @pytest.fixture
 def data_repeated(data):
-<<<<<<< HEAD
-    """Return different versions of data for count times"""
-    def gen(count):
-        for _ in range(count):
-            yield data
-    yield gen
-=======
     """
     Generate many datasets.
 
@@ -56,7 +49,6 @@ def gen(count):
         for _ in range(count):
             yield data
     return gen
->>>>>>> datetimelike-tshift
 
 
 @pytest.fixture