Squashed commit of the following:

commit 11a0d93
Author: Tom Augspurger <[email protected]>
Date:   Wed Oct 3 14:26:34 2018 -0500

    typerror

commit a0cd5e7
Author: Tom Augspurger <[email protected]>
Date:   Wed Oct 3 14:25:38 2018 -0500

    TypeError for Series

commit 2247461
Author: Tom Augspurger <[email protected]>
Date:   Wed Oct 3 13:29:29 2018 -0500

    Test op(Series[EA], EA])

commit c9fe5d3
Author: Tom Augspurger <[email protected]>
Date:   Wed Oct 3 13:21:33 2018 -0500

    make strict

commit 7ef697c
Author: Tom Augspurger <[email protected]>
Date:   Wed Oct 3 13:14:52 2018 -0500

    Use super

commit 35d4213
Merge: 0671e7d ee80803
Author: Tom Augspurger <[email protected]>
Date:   Wed Oct 3 13:11:05 2018 -0500

    Merge remote-tracking branch 'upstream/master' into ea-divmod

commit ee80803
Author: Matthew Roeschke <[email protected]>
Date:   Wed Oct 3 08:25:44 2018 -0700

     BUG: Correctly weekly resample over DST (pandas-dev#22941)

    * test resample fix

    * move the localization until needed

    * BUG: Correctly weekly resample over DST

    * Move whatsnew to new section

commit fea27f0
Author: Tom Augspurger <[email protected]>
Date:   Wed Oct 3 08:49:44 2018 -0500

    CI: pin moto to 1.3.4 (pandas-dev#22959)

commit 15d32bb
Author: jbrockmendel <[email protected]>
Date:   Wed Oct 3 04:32:35 2018 -0700

    [CLN] Dispatch (some) Frame ops to Series, avoiding _data.eval (pandas-dev#22019)

    * avoid casting to object dtype in mixed-type frames

    * Dispatch to Series ops in _combine_match_columns

    * comment

    * docstring

    * flake8 fixup

    * dont bother with try_cast_result

    * revert non-central change

    * simplify

    * revert try_cast_results

    * revert non-central changes

    * Fixup typo syntaxerror

    * simplify assertion

    * use dispatch_to_series in combine_match_columns

    * Pass unwrapped op where appropriate

    * catch correct error

    * whatsnew note

    * comment

    * whatsnew section

    * remove unnecessary tester

    * doc fixup

commit 3e3256b
Author: alimcmaster1 <[email protected]>
Date:   Wed Oct 3 12:23:22 2018 +0100

    Allow passing a mask to NanOps (pandas-dev#22865)

commit e756e99
Author: jbrockmendel <[email protected]>
Date:   Wed Oct 3 02:19:27 2018 -0700

    CLN: Use is_period_dtype instead of ABCPeriodIndex checks (pandas-dev#22958)

commit 03181f0
Author: Wenhuan <[email protected]>
Date:   Wed Oct 3 15:28:07 2018 +0800

    BUG: fix Series(extension array) + extension array values addition (pandas-dev#22479)

commit 04ea51d
Author: Joris Van den Bossche <[email protected]>
Date:   Wed Oct 3 09:24:36 2018 +0200

    CLN: small clean-up of IntervalIndex (pandas-dev#22956)

commit b0f9a10
Author: Tony Tao <[email protected]>
Date:   Tue Oct 2 19:01:08 2018 -0500

    DOC GH22893 Fix docstring of groupby in pandas/core/generic.py (pandas-dev#22920)

commit 08ecba8
Author: jbrockmendel <[email protected]>
Date:   Tue Oct 2 14:22:53 2018 -0700

    BUG: fix DataFrame+DataFrame op with timedelta64 dtype (pandas-dev#22696)

commit c44bad2
Author: Pamela Wu <[email protected]>
Date:   Tue Oct 2 17:16:25 2018 -0400

    CLN GH22873 Replace base excepts in pandas/core (pandas-dev#22901)

commit 8e749a3
Author: Pamela Wu <[email protected]>
Date:   Tue Oct 2 17:14:48 2018 -0400

    CLN GH22874 replace bare excepts in pandas/io/pytables.py (pandas-dev#22919)

commit 1102a33
Author: Joris Van den Bossche <[email protected]>
Date:   Tue Oct 2 22:31:36 2018 +0200

    DOC/CLN: clean-up shared_docs in generic.py (pandas-dev#20074)

commit 9caf048
Author: Tom Augspurger <[email protected]>
Date:   Tue Oct 2 13:25:22 2018 -0500

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

commit 0671e7d
Author: Tom Augspurger <[email protected]>
Date:   Tue Oct 2 11:10:42 2018 -0500

    Fixup

commit 1b4261f
Merge: c92a4a8 1d9f76c
Author: Tom Augspurger <[email protected]>
Date:   Tue Oct 2 10:58:43 2018 -0500

    Merge remote-tracking branch 'upstream/master' into ea-divmod

commit 1d9f76c
Author: Joris Van den Bossche <[email protected]>
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 <[email protected]>
Date:   Tue Oct 2 08:50:41 2018 -0500

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

commit c92a4a8
Author: Tom Augspurger <[email protected]>
Date:   Mon Oct 1 16:56:15 2018 -0500

    Update old test

commit 52538fa
Author: Tom Augspurger <[email protected]>
Date:   Mon Oct 1 16:51:48 2018 -0500

    BUG: divmod return type

commit 5ce06b5
Author: Matthew Roeschke <[email protected]>
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

Author: TomAugspurger

ci/travis-27.yaml

@@ -44,7 +44,7 @@ dependencies:
   # universal
   - pytest
   - pytest-xdist
-  - moto
+  - moto==1.3.4
   - hypothesis>=3.58.0
   - pip:
     - backports.lzma

doc/source/extending.rst

@@ -160,9 +160,18 @@ your ``MyExtensionArray`` class, as follows:
     MyExtensionArray._add_arithmetic_ops()
     MyExtensionArray._add_comparison_ops()
 
-Note that since ``pandas`` automatically calls the underlying operator on each
-element one-by-one, this might not be as performant as implementing your own
-version of the associated operators directly on the ``ExtensionArray``.
+
+.. note::
+
+   Since ``pandas`` automatically calls the underlying operator on each
+   element one-by-one, this might not be as performant as implementing your own
+   version of the associated operators directly on the ``ExtensionArray``.
+
+This implementation will try to reconstruct a new ``ExtensionArray`` with the
+result of the element-wise operation. Whether or not that succeeds depends on
+whether the operation returns a result that's valid for the ``ExtensionArray``.
+If an ``ExtensionArray`` cannot be reconstructed, a list containing the scalars
+returned instead.
 
 .. _extending.extension.testing:
 

doc/source/whatsnew/v0.24.0.txt

@@ -579,6 +579,35 @@ Current Behavior:
     ...
     OverflowError: Trying to coerce negative values to unsigned integers
 
+.. _whatsnew_0240.api.crosstab_dtypes
+
+Crosstab Preserves Dtypes
+^^^^^^^^^^^^^^^^^^^^^^^^^
+
+:func:`crosstab` will preserve now dtypes in some cases that previously would
+cast from integer dtype to floating dtype (:issue:`22019`)
+
+Previous Behavior:
+
+.. code-block:: ipython
+
+    In [3]: df = pd.DataFrame({'a': [1, 2, 2, 2, 2], 'b': [3, 3, 4, 4, 4],
+       ...:                    'c': [1, 1, np.nan, 1, 1]})
+    In [4]: pd.crosstab(df.a, df.b, normalize='columns')
+    Out[4]:
+    b    3    4
+    a
+    1  0.5  0.0
+    2  0.5  1.0
+
+Current Behavior:
+
+.. code-block:: ipython
+
+    In [3]: df = pd.DataFrame({'a': [1, 2, 2, 2, 2], 'b': [3, 3, 4, 4, 4],
+       ...:                    'c': [1, 1, np.nan, 1, 1]})
+    In [4]: pd.crosstab(df.a, df.b, normalize='columns')
+
 Datetimelike API Changes
 ^^^^^^^^^^^^^^^^^^^^^^^^
 
@@ -713,7 +742,7 @@ Timedelta
 - Bug in :class:`Index` with numeric dtype when multiplying or dividing an array with dtype ``timedelta64`` (:issue:`22390`)
 - Bug in :class:`TimedeltaIndex` incorrectly allowing indexing with ``Timestamp`` object (:issue:`20464`)
 - Fixed bug where subtracting :class:`Timedelta` from an object-dtyped array would raise ``TypeError`` (:issue:`21980`)
--
+- Fixed bug in adding a :class:`DataFrame` with all-`timedelta64[ns]` dtypes to a :class:`DataFrame` with all-integer dtypes returning incorrect results instead of raising ``TypeError`` (:issue:`22696`)
 -
 
 Timezones
@@ -841,6 +870,7 @@ Groupby/Resample/Rolling
 - Bug in :meth:`Resampler.asfreq` when frequency of ``TimedeltaIndex`` is a subperiod of a new frequency (:issue:`13022`).
 - Bug in :meth:`SeriesGroupBy.mean` when values were integral but could not fit inside of int64, overflowing instead. (:issue:`22487`)
 - :func:`RollingGroupby.agg` and :func:`ExpandingGroupby.agg` now support multiple aggregation functions as parameters (:issue:`15072`)
+- Bug in :meth:`DataFrame.resample` and :meth:`Series.resample` when resampling by a weekly offset (``'W'``) across a DST transition (:issue:`9119`, :issue:`21459`)
 
 Sparse
 ^^^^^^
@@ -881,4 +911,3 @@ Other
 - :meth:`DataFrame.nlargest` and :meth:`DataFrame.nsmallest` now returns the correct n values when keep != 'all' also when tied on the first columns (:issue:`22752`)
 - :meth:`~pandas.io.formats.style.Styler.bar` now also supports tablewise application (in addition to rowwise and columnwise) with ``axis=None`` and setting clipping range with ``vmin`` and ``vmax`` (:issue:`21548` and :issue:`21526`). ``NaN`` values are also handled properly.
 - Logical operations ``&, |, ^`` between :class:`Series` and :class:`Index` will no longer raise ``ValueError`` (:issue:`22092`)
--

pandas/core/arrays/base.py

@@ -775,10 +775,18 @@ def convert_values(param):
             res = [op(a, b) for (a, b) in zip(lvalues, rvalues)]
 
             if coerce_to_dtype:
-                try:
-                    res = self._from_sequence(res)
-                except TypeError:
-                    pass
+                if op.__name__ in {'divmod', 'rdivmod'}:
+                    try:
+                        a, b = zip(*res)
+                        res = (self._from_sequence(a),
+                               self._from_sequence(b))
+                    except TypeError:
+                        pass
+                else:
+                    try:
+                        res = self._from_sequence(res)
+                    except TypeError:
+                        pass
 
             return res
 

pandas/core/arrays/interval.py

@@ -108,12 +108,7 @@ class IntervalArray(IntervalMixin, ExtensionArray):
     _na_value = _fill_value = np.nan
 
     def __new__(cls, data, closed=None, dtype=None, copy=False,
-                fastpath=False, verify_integrity=True):
-
-        if fastpath:
-            return cls._simple_new(data.left, data.right, closed,
-                                   copy=copy, dtype=dtype,
-                                   verify_integrity=False)
+                verify_integrity=True):
 
         if isinstance(data, ABCSeries) and is_interval_dtype(data):
             data = data.values

pandas/core/arrays/period.py

@@ -539,7 +539,7 @@ def asfreq(self, freq=None, how='E'):
         if self.hasnans:
             new_data[self._isnan] = iNaT
 
-        return self._simple_new(new_data, freq=freq)
+        return self._shallow_copy(new_data, freq=freq)
 
     # ------------------------------------------------------------------
     # Arithmetic Methods

pandas/core/computation/pytables.py

@@ -411,7 +411,7 @@ def visit_Subscript(self, node, **kwargs):
         slobj = self.visit(node.slice)
         try:
             value = value.value
-        except:
+        except AttributeError:
             pass
 
         try:

pandas/core/dtypes/common.py

@@ -468,7 +468,7 @@ def is_timedelta64_dtype(arr_or_dtype):
         return False
     try:
         tipo = _get_dtype_type(arr_or_dtype)
-    except:
+    except (TypeError, ValueError, SyntaxError):
         return False
     return issubclass(tipo, np.timedelta64)
 

pandas/core/dtypes/dtypes.py

@@ -360,11 +360,11 @@ def construct_from_string(cls, string):
         try:
             if string == 'category':
                 return cls()
-        except:
+            else:
+                raise TypeError("cannot construct a CategoricalDtype")
+        except AttributeError:
             pass
 
-        raise TypeError("cannot construct a CategoricalDtype")
-
     @staticmethod
     def validate_ordered(ordered):
         """
@@ -514,7 +514,7 @@ def __new__(cls, unit=None, tz=None):
                 if m is not None:
                     unit = m.groupdict()['unit']
                     tz = m.groupdict()['tz']
-            except:
+            except TypeError:
                 raise ValueError("could not construct DatetimeTZDtype")
 
         elif isinstance(unit, compat.string_types):

pandas/core/frame.py

@@ -3260,7 +3260,7 @@ def _ensure_valid_index(self, value):
         if not len(self.index) and is_list_like(value):
             try:
                 value = Series(value)
-            except:
+            except (ValueError, NotImplementedError, TypeError):
                 raise ValueError('Cannot set a frame with no defined index '
                                  'and a value that cannot be converted to a '
                                  'Series')
@@ -3629,7 +3629,8 @@ def align(self, other, join='outer', axis=None, level=None, copy=True,
                                             fill_axis=fill_axis,
                                             broadcast_axis=broadcast_axis)
 
-    @Appender(_shared_docs['reindex'] % _shared_doc_kwargs)
+    @Substitution(**_shared_doc_kwargs)
+    @Appender(NDFrame.reindex.__doc__)
     @rewrite_axis_style_signature('labels', [('method', None),
                                              ('copy', True),
                                              ('level', None),
@@ -4479,7 +4480,8 @@ def f(vals):
     # ----------------------------------------------------------------------
     # Sorting
 
-    @Appender(_shared_docs['sort_values'] % _shared_doc_kwargs)
+    @Substitution(**_shared_doc_kwargs)
+    @Appender(NDFrame.sort_values.__doc__)
     def sort_values(self, by, axis=0, ascending=True, inplace=False,
                     kind='quicksort', na_position='last'):
         inplace = validate_bool_kwarg(inplace, 'inplace')
@@ -4521,7 +4523,8 @@ def sort_values(self, by, axis=0, ascending=True, inplace=False,
         else:
             return self._constructor(new_data).__finalize__(self)
 
-    @Appender(_shared_docs['sort_index'] % _shared_doc_kwargs)
+    @Substitution(**_shared_doc_kwargs)
+    @Appender(NDFrame.sort_index.__doc__)
     def sort_index(self, axis=0, level=None, ascending=True, inplace=False,
                    kind='quicksort', na_position='last', sort_remaining=True,
                    by=None):
@@ -4886,7 +4889,7 @@ def _arith_op(left, right):
             left, right = ops.fill_binop(left, right, fill_value)
             return func(left, right)
 
-        if this._is_mixed_type or other._is_mixed_type:
+        if ops.should_series_dispatch(this, other, func):
             # iterate over columns
             return ops.dispatch_to_series(this, other, _arith_op)
         else:
@@ -4896,7 +4899,6 @@ def _arith_op(left, right):
                                      copy=False)
 
     def _combine_match_index(self, other, func, level=None):
-        assert isinstance(other, Series)
         left, right = self.align(other, join='outer', axis=0, level=level,
                                  copy=False)
         assert left.index.equals(right.index)
@@ -4916,11 +4918,7 @@ def _combine_match_columns(self, other, func, level=None, try_cast=True):
         left, right = self.align(other, join='outer', axis=1, level=level,
                                  copy=False)
         assert left.columns.equals(right.index)
-
-        new_data = left._data.eval(func=func, other=right,
-                                   axes=[left.columns, self.index],
-                                   try_cast=try_cast)
-        return self._constructor(new_data)
+        return ops.dispatch_to_series(left, right, func, axis="columns")
 
     def _combine_const(self, other, func, errors='raise', try_cast=True):
         if lib.is_scalar(other) or np.ndim(other) == 0:
@@ -7747,7 +7745,7 @@ def convert(v):
                 values = np.array([convert(v) for v in values])
             else:
                 values = convert(values)
-        except:
+        except (ValueError, TypeError):
             values = convert(values)
 
     else: