Merge remote-tracking branch 'upstream/master' into Rt05

* upstream/master: (21 commits)
  TST: use a fixed seed to have the same uniques across python versions (pandas-dev#25346)
  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)
  Rt05 documentation error fix issue 25108 (pandas-dev#25309)
  Skipped broken Py2 / Windows test (pandas-dev#25323)
  DOC/CLN: Fix errors in DataFrame docstrings (pandas-dev#24952)
  DOC: Fix minor typo in docstring (pandas-dev#25285)
  Removed Panel class from HDF ASVs (pandas-dev#25281)
  TST/CLN: remove test_slice_ints_with_floats_raises (pandas-dev#25277)
  Edit parameter type in pandas.core.frame.py DataFrame.count (pandas-dev#25198)
  Fix typo in Cheat sheet with regex (pandas-dev#25215)
  Refactor groupby group_prod, group_var, group_mean, group_ohlc (pandas-dev#25249)
  REF: use _constructor and ABCFoo to avoid runtime imports (pandas-dev#25272)
  ...

Author: thoo

asv_bench/benchmarks/io/hdf.py

@@ -1,7 +1,5 @@
-import warnings
-
 import numpy as np
-from pandas import DataFrame, Panel, date_range, HDFStore, read_hdf
+from pandas import DataFrame, date_range, HDFStore, read_hdf
 import pandas.util.testing as tm
 
 from ..pandas_vb_common import BaseIO
@@ -99,31 +97,6 @@ def time_store_info(self):
         self.store.info()
 
 
-class HDFStorePanel(BaseIO):
-
-    def setup(self):
-        self.fname = '__test__.h5'
-        with warnings.catch_warnings(record=True):
-            self.p = Panel(np.random.randn(20, 1000, 25),
-                           items=['Item%03d' % i for i in range(20)],
-                           major_axis=date_range('1/1/2000', periods=1000),
-                           minor_axis=['E%03d' % i for i in range(25)])
-            self.store = HDFStore(self.fname)
-            self.store.append('p1', self.p)
-
-    def teardown(self):
-        self.store.close()
-        self.remove(self.fname)
-
-    def time_read_store_table_panel(self):
-        with warnings.catch_warnings(record=True):
-            self.store.select('p1')
-
-    def time_write_store_table_panel(self):
-        with warnings.catch_warnings(record=True):
-            self.store.append('p2', self.p)
-
-
 class HDF(BaseIO):
 
     params = ['table', 'fixed']

ci/deps/azure-27-compat.yaml

@@ -20,6 +20,7 @@ dependencies:
   # universal
   - pytest
   - pytest-xdist
+  - pytest-mock
   - pip:
     - html5lib==1.0b2
     - beautifulsoup4==4.2.1

ci/deps/azure-27-locale.yaml

@@ -22,6 +22,7 @@ dependencies:
   # universal
   - pytest
   - pytest-xdist
+  - pytest-mock
   - hypothesis>=3.58.0
   - pip:
     - html5lib==1.0b2

ci/deps/azure-36-locale_slow.yaml

@@ -28,6 +28,7 @@ dependencies:
   # universal
   - pytest
   - pytest-xdist
+  - pytest-mock
   - moto
   - pip:
     - hypothesis>=3.58.0

ci/deps/azure-37-locale.yaml

@@ -27,6 +27,7 @@ dependencies:
   # universal
   - pytest
   - pytest-xdist
+  - pytest-mock
   - pip:
     - hypothesis>=3.58.0
     - moto  # latest moto in conda-forge fails with 3.7, move to conda dependencies when this is fixed

ci/deps/azure-37-numpydev.yaml

@@ -8,6 +8,7 @@ dependencies:
   # universal
   - pytest
   - pytest-xdist
+  - pytest-mock
   - hypothesis>=3.58.0
   - pip:
     - "git+git://github.com/dateutil/dateutil.git"

ci/deps/azure-macos-35.yaml

@@ -24,6 +24,7 @@ dependencies:
   # universal
   - pytest
   - pytest-xdist
+  - pytest-mock
   - pip:
     - python-dateutil==2.5.3
     - hypothesis>=3.58.0

ci/deps/azure-windows-27.yaml

@@ -27,5 +27,6 @@ dependencies:
   - cython>=0.28.2
   - pytest
   - pytest-xdist
+  - pytest-mock
   - moto
   - hypothesis>=3.58.0

ci/deps/azure-windows-36.yaml

@@ -25,4 +25,5 @@ dependencies:
   - cython>=0.28.2
   - pytest
   - pytest-xdist
+  - pytest-mock
   - hypothesis>=3.58.0

ci/deps/travis-27.yaml

@@ -41,6 +41,7 @@ dependencies:
   # universal
   - pytest
   - pytest-xdist
+  - pytest-mock
   - moto==1.3.4
   - hypothesis>=3.58.0
   - pip:

ci/deps/travis-36-locale.yaml

@@ -30,6 +30,7 @@ dependencies:
   # universal
   - pytest
   - pytest-xdist
+  - pytest-mock
   - moto
   - pip:
     - hypothesis>=3.58.0

ci/deps/travis-36-slow.yaml

@@ -27,5 +27,6 @@ dependencies:
   # universal
   - pytest
   - pytest-xdist
+  - pytest-mock
   - moto
   - hypothesis>=3.58.0

ci/deps/travis-36.yaml

@@ -36,6 +36,7 @@ dependencies:
   - pytest
   - pytest-xdist
   - pytest-cov
+  - pytest-mock
   - hypothesis>=3.58.0
   - pip:
     - brotlipy

ci/deps/travis-37.yaml

@@ -14,6 +14,7 @@ dependencies:
   - pytz
   - pytest
   - pytest-xdist
+  - pytest-mock
   - hypothesis>=3.58.0
   - s3fs
   - pip:

doc/cheatsheet/Pandas_Cheat_Sheet.pdf

@@ -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/cheatsheet/Pandas_Cheat_Sheet.pptx

@@ -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/cheatsheet/Pandas_Cheat_Sheet_JA.pdf

@@ -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/cheatsheet/Pandas_Cheat_Sheet_JA.pptx

@@ -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/reference/arrays.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`)
@@ -78,8 +80,8 @@ 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`)
 -
 
 **Visualization**

doc/source/user_guide/groupby.rst

@@ -20,7 +20,7 @@ Other Enhancements
 ^^^^^^^^^^^^^^^^^^
 
 - :meth:`Timestamp.replace` now supports the ``fold`` argument to disambiguate DST transition times (:issue:`25017`)
--
+- :meth:`DataFrame.at_time` and :meth:`Series.at_time` now support :meth:`datetime.time` objects with timezones (:issue:`24043`)
 -
 
 .. _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`)
 -
 -
 
@@ -183,7 +184,6 @@ Reshaping
 - Bug in :func:`pandas.merge` adds a string of ``None`` if ``None`` is assigned in suffixes instead of remain the column name as-is (:issue:`24782`).
 - Bug in :func:`merge` when merging by index name would sometimes result in an incorrectly numbered index (:issue:`24212`)
 - :func:`to_records` now accepts dtypes to its `column_dtypes` parameter (:issue:`24895`)
--
 
 
 Sparse