Merge branch 'master' of https://github.com/pandas-dev/pandas into di…

…v_zero2

doc/source/whatsnew/v0.23.0.txt

@@ -385,6 +385,7 @@ Other API Changes
 - :func:`DatetimeIndex.shift` and :func:`TimedeltaIndex.shift` will now raise ``NullFrequencyError`` (which subclasses ``ValueError``, which was raised in older versions) when the index object frequency is ``None`` (:issue:`19147`)
 - Addition and subtraction of ``NaN`` from a :class:`Series` with ``dtype='timedelta64[ns]'`` will raise a ``TypeError` instead of treating the ``NaN`` as ``NaT`` (:issue:`19274`)
 - Set operations (union, difference...) on :class:`IntervalIndex` with incompatible index types will now raise a ``TypeError`` rather than a ``ValueError`` (:issue:`19329`)
+- :class:`DateOffset` objects render more simply, e.g. "<DateOffset: days=1>" instead of "<DateOffset: kwds={'days': 1}>" (:issue:`19403`)
 
 .. _whatsnew_0230.deprecations:
 
@@ -496,6 +497,8 @@ Datetimelike
 - Bug in subtracting :class:`Series` from ``NaT`` incorrectly returning ``NaT`` (:issue:`19158`)
 - Bug in :func:`Series.truncate` which raises ``TypeError`` with a monotonic ``PeriodIndex`` (:issue:`17717`)
 - Bug in :func:`~DataFrame.pct_change` using ``periods`` and ``freq`` returned different length outputs (:issue:`7292`)
+- Bug in comparison of :class:`DatetimeIndex` against ``None`` or ``datetime.date`` objects raising ``TypeError`` for ``==`` and ``!=`` comparisons instead of all-``False`` and all-``True``, respectively (:issue:`19301`)
+-
 
 Timezones
 ^^^^^^^^^
@@ -527,8 +530,6 @@ Numeric
 - Bug in the :class:`DataFrame` constructor in which data containing very large positive or very large negative numbers was causing ``OverflowError`` (:issue:`18584`)
 - Bug in :class:`Index` constructor with ``dtype='uint64'`` where int-like floats were not coerced to :class:`UInt64Index` (:issue:`18400`)
 
--
-
 
 Indexing
 ^^^^^^^^
@@ -573,14 +574,13 @@ I/O
 - Bug in :func:`DataFrame.to_parquet` where an exception was raised if the write destination is S3 (:issue:`19134`)
 - :class:`Interval` now supported in :func:`DataFrame.to_excel` for all Excel file types (:issue:`19242`)
 - :class:`Timedelta` now supported in :func:`DataFrame.to_excel` for xls file type (:issue:`19242`, :issue:`9155`)
--
 
 Plotting
 ^^^^^^^^
 
 - :func: `DataFrame.plot` now raises a ``ValueError`` when the ``x`` or ``y`` argument is improperly formed (:issue:`18671`)
 - Bug in formatting tick labels with ``datetime.time()`` and fractional seconds (:issue:`18478`).
--
+- :meth:`Series.plot.kde` has exposed the args ``ind`` and ``bw_method`` in the docstring (:issue:`18461`). The argument ``ind`` may now also be an integer (number of sample points).
 -
 
 Groupby/Resample/Rolling
@@ -597,7 +597,7 @@ Sparse
 ^^^^^^
 
 - Bug in which creating a ``SparseDataFrame`` from a dense ``Series`` or an unsupported type raised an uncontrolled exception (:issue:`19374`)
--
+- Bug in :class:`SparseDataFrame.to_csv` causing exception (:issue:`19384`)
 -
 
 Reshaping

pandas/_libs/tslibs/offsets.pyx

@@ -302,6 +302,14 @@ class _BaseOffset(object):
     _normalize_cache = True
     _cacheable = False
     _day_opt = None
+    _attributes = frozenset(['n', 'normalize'])
+
+    @property
+    def kwds(self):
+        # for backwards-compatibility
+        kwds = {name: getattr(self, name, None) for name in self._attributes
+                if name not in ['n', 'normalize']}
+        return {name: kwds[name] for name in kwds if kwds[name] is not None}
 
     def __call__(self, other):
         return self.apply(other)

pandas/core/indexes/datetimes.py

@@ -71,9 +71,11 @@ def f(self):
             if field in ['is_month_start', 'is_month_end',
                          'is_quarter_start', 'is_quarter_end',
                          'is_year_start', 'is_year_end']:
-                month_kw = (self.freq.kwds.get('startingMonth',
-                                               self.freq.kwds.get('month', 12))
-                            if self.freq else 12)
+                freq = self.freq
+                month_kw = 12
+                if freq:
+                    kwds = freq.kwds
+                    month_kw = kwds.get('startingMonth', kwds.get('month', 12))
 
                 result = fields.get_start_end_field(values, field,
                                                     self.freqstr, month_kw)
@@ -118,8 +120,16 @@ def wrapper(self, other):
         else:
             if isinstance(other, list):
                 other = DatetimeIndex(other)
-            elif not isinstance(other, (np.ndarray, Index, ABCSeries)):
-                other = _ensure_datetime64(other)
+            elif not isinstance(other, (np.datetime64, np.ndarray,
+                                        Index, ABCSeries)):
+                # Following Timestamp convention, __eq__ is all-False
+                # and __ne__ is all True, others raise TypeError.
+                if opname == '__eq__':
+                    return np.zeros(shape=self.shape, dtype=bool)
+                elif opname == '__ne__':
+                    return np.ones(shape=self.shape, dtype=bool)
+                raise TypeError('%s type object %s' %
+                                (type(other), str(other)))
 
             if is_datetimelike(other):
                 self._assert_tzawareness_compat(other)
@@ -146,12 +156,6 @@ def wrapper(self, other):
     return compat.set_function_name(wrapper, opname, cls)
 
 
-def _ensure_datetime64(other):
-    if isinstance(other, np.datetime64):
-        return other
-    raise TypeError('%s type object %s' % (type(other), str(other)))
-
-
 _midnight = time(0, 0)
 
 

pandas/core/internals.py

@@ -709,7 +709,8 @@ def to_native_types(self, slicer=None, na_rep='nan', quoting=None,
                         **kwargs):
         """ convert to our native types format, slicing if desired """
 
-        values = self.values
+        values = self.get_values()
+
         if slicer is not None:
             values = values[:, slicer]
         mask = isna(values)