Merge remote-tracking branch 'upstream/master' into pivot

* upstream/master:
  BUG: Fix passing of numeric_only argument for categorical reduce (pandas-dev#25304)
  ENH: Support times with timezones in at_time (pandas-dev#25280)
  COMPAT: alias .to_numpy() for timestamp and timedelta scalars (pandas-dev#25142)
  DOC/CLN: Fix various docstring errors (pandas-dev#25295)
  Bug: OverflowError in resample.agg with tz data (pandas-dev#25297)
  Fixes Formatting Exception (pandas-dev#25088)
  BUG: groupby.transform retains timezone information (pandas-dev#25264)
  Doc: corrects spelling in generic.py (pandas-dev#25333)
  Fix typos in docs (pandas-dev#25305)

Author: thoo

doc/source/reference/arrays.rst

@@ -120,6 +120,7 @@ Methods
    Timestamp.timetuple
    Timestamp.timetz
    Timestamp.to_datetime64
+   Timestamp.to_numpy
    Timestamp.to_julian_date
    Timestamp.to_period
    Timestamp.to_pydatetime
@@ -191,6 +192,7 @@ Methods
    Timedelta.round
    Timedelta.to_pytimedelta
    Timedelta.to_timedelta64
+   Timedelta.to_numpy
    Timedelta.total_seconds
 
 A collection of timedeltas may be stored in a :class:`TimedeltaArray`.

doc/source/user_guide/groupby.rst

@@ -1317,7 +1317,7 @@ arbitrary function, for example:
    df.groupby(['Store', 'Product']).pipe(mean)
 
 where ``mean`` takes a GroupBy object and finds the mean of the Revenue and Quantity
-columns repectively for each Store-Product combination. The ``mean`` function can
+columns respectively for each Store-Product combination. The ``mean`` function can
 be any function that takes in a GroupBy object; the ``.pipe`` will pass the GroupBy
 object as a parameter into the function you specify.
 

doc/source/whatsnew/v0.10.0.rst

@@ -370,7 +370,7 @@ Updated PyTables Support
       df1.get_dtype_counts()
 
 - performance improvements on table writing
-- support for arbitrarly indexed dimensions
+- support for arbitrarily indexed dimensions
 - ``SparseSeries`` now has a ``density`` property (:issue:`2384`)
 - enable ``Series.str.strip/lstrip/rstrip`` methods to take an input argument
   to strip arbitrary characters (:issue:`2411`)

doc/source/whatsnew/v0.16.1.rst

@@ -136,7 +136,7 @@ groupby operations on the index will preserve the index nature as well
 reindexing operations, will return a resulting index based on the type of the passed
 indexer, meaning that passing a list will return a plain-old-``Index``; indexing with
 a ``Categorical`` will return a ``CategoricalIndex``, indexed according to the categories
-of the PASSED ``Categorical`` dtype. This allows one to arbitrarly index these even with
+of the PASSED ``Categorical`` dtype. This allows one to arbitrarily index these even with
 values NOT in the categories, similarly to how you can reindex ANY pandas index.
 
 .. code-block:: ipython

doc/source/whatsnew/v0.24.2.rst

@@ -25,6 +25,7 @@ Fixed Regressions
 - Fixed regression in :meth:`DataFrame.apply` causing ``RecursionError`` when ``dict``-like classes were passed as argument. (:issue:`25196`)
 
 - Fixed regression in :meth:`DataFrame.duplicated()`, where empty dataframe was not returning a boolean dtyped Series. (:issue:`25184`)
+- Fixed regression in :meth:`Series.min` and :meth:`Series.max` where ``numeric_only=True`` was ignored when the ``Series`` contained ```Categorical`` data (:issue:`25299`)
 
 .. _whatsnew_0242.enhancements:
 
@@ -53,6 +54,7 @@ Bug Fixes
 
 **I/O**
 
+- Better handling of terminal printing when the terminal dimensions are not known (:issue:`25080`);
 - Bug in reading a HDF5 table-format ``DataFrame`` created in Python 2, in Python 3 (:issue:`24925`)
 - Bug in reading a JSON with ``orient='table'`` generated by :meth:`DataFrame.to_json` with ``index=False`` (:issue:`25170`)
 - Bug where float indexes could have misaligned values when printing (:issue:`25061`)
@@ -78,7 +80,7 @@ Bug Fixes
 
 **Reshaping**
 
--
+- Bug in :meth:`pandas.core.groupby.GroupBy.transform` where applying a function to a timezone aware column would return a timezone naive result (:issue:`24198`)
 - Bug in :func:`DataFrame.join` when joining on a timezone aware :class:`DatetimeIndex` (:issue:`23931`)
 -
 

doc/source/whatsnew/v0.25.0.rst

@@ -20,8 +20,8 @@ Other Enhancements
 ^^^^^^^^^^^^^^^^^^
 
 - :meth:`Timestamp.replace` now supports the ``fold`` argument to disambiguate DST transition times (:issue:`25017`)
-- :meth:`DataFrame.pivot` now supports multiple column indexes (:issue:`21425`)
--
+- :meth:`DataFrame.at_time` and :meth:`Series.at_time` now support :meth:`datetime.time` objects with timezones (:issue:`24043`)
+- :meth:`DataFrame.pivot` now supports multiple column indexes by accepting a list of columns (:issue:`21425`)
 
 .. _whatsnew_0250.api_breaking:
 
@@ -34,6 +34,7 @@ Other API Changes
 ^^^^^^^^^^^^^^^^^
 
 - :class:`DatetimeTZDtype` will now standardize pytz timezones to a common timezone instance (:issue:`24713`)
+- ``Timestamp`` and ``Timedelta`` scalars now implement the :meth:`to_numpy` method as aliases to :meth:`Timestamp.to_datetime64` and :meth:`Timedelta.to_timedelta64`, respectively. (:issue:`24653`)
 -
 -
 
@@ -172,7 +173,7 @@ Plotting
 Groupby/Resample/Rolling
 ^^^^^^^^^^^^^^^^^^^^^^^^
 
--
+- Bug in :meth:`pandas.core.resample.Resampler.agg` with a timezone aware index where ``OverflowError`` would raise when passing a list of functions (:issue:`22660`)
 -
 -
 

pandas/_libs/tslibs/nattype.pyx

@@ -188,6 +188,26 @@ cdef class _NaT(datetime):
         """
         return np.datetime64('NaT', 'ns')
 
+    def to_numpy(self, dtype=None, copy=False):
+        """
+        Convert the Timestamp to a NumPy datetime64.
+
+        .. versionadded:: 0.25.0
+
+        This is an alias method for `Timestamp.to_datetime64()`. The dtype and
+        copy parameters are available here only for compatibility. Their values
+        will not affect the return value.
+
+        Returns
+        -------
+        numpy.datetime64
+
+        See Also
+        --------
+        DatetimeIndex.to_numpy : Similar method for DatetimeIndex.
+        """
+        return self.to_datetime64()
+
     def __repr__(self):
         return 'NaT'
 

pandas/_libs/tslibs/timedeltas.pyx

@@ -824,6 +824,26 @@ cdef class _Timedelta(timedelta):
         """ Returns a numpy.timedelta64 object with 'ns' precision """
         return np.timedelta64(self.value, 'ns')
 
+    def to_numpy(self, dtype=None, copy=False):
+        """
+        Convert the Timestamp to a NumPy timedelta64.
+
+        .. versionadded:: 0.25.0
+
+        This is an alias method for `Timedelta.to_timedelta64()`. The dtype and
+        copy parameters are available here only for compatibility. Their values
+        will not affect the return value.
+
+        Returns
+        -------
+        numpy.timedelta64
+
+        See Also
+        --------
+        Series.to_numpy : Similar method for Series.
+        """
+        return self.to_timedelta64()
+
     def total_seconds(self):
         """
         Total duration of timedelta in seconds (to ns precision)

pandas/_libs/tslibs/timestamps.pyx

@@ -345,6 +345,26 @@ cdef class _Timestamp(datetime):
         """
         return np.datetime64(self.value, 'ns')
 
+    def to_numpy(self, dtype=None, copy=False):
+        """
+        Convert the Timestamp to a NumPy datetime64.
+
+        .. versionadded:: 0.25.0
+
+        This is an alias method for `Timestamp.to_datetime64()`. The dtype and
+        copy parameters are available here only for compatibility. Their values
+        will not affect the return value.
+
+        Returns
+        -------
+        numpy.datetime64
+
+        See Also
+        --------
+        DatetimeIndex.to_numpy : Similar method for DatetimeIndex.
+        """
+        return self.to_datetime64()
+
     def __add__(self, other):
         cdef:
             int64_t other_int, nanos