reference to pandas-dev#24559

.github/workflows/python-dev.yml

@@ -10,6 +10,12 @@ on:
     paths-ignore:
       - "doc/**"
 
+env:
+  PYTEST_WORKERS: "auto"
+  PANDAS_CI: 1
+  PATTERN: "not slow and not network and not clipboard"
+  COVERAGE: true
+
 jobs:
   build:
     runs-on: ubuntu-latest
@@ -36,7 +42,7 @@ jobs:
         pip install git+https://github.com/numpy/numpy.git
         pip install git+https://github.com/pytest-dev/pytest.git
         pip install git+https://github.com/nedbat/coveragepy.git
-        pip install cython python-dateutil pytz hypothesis pytest-xdist
+        pip install cython python-dateutil pytz hypothesis pytest-xdist pytest-cov
         pip list
 
     - name: Build Pandas
@@ -50,7 +56,8 @@ jobs:
 
     - name: Test with pytest
       run: |
-        coverage run -m pytest -m 'not slow and not network and not clipboard' pandas
+        ci/run_tests.sh
+      # GH 41935
       continue-on-error: true
 
     - name: Publish test results

.pre-commit-config.yaml

@@ -53,7 +53,7 @@ repos:
         types: [text]
         args: [--append-config=flake8/cython-template.cfg]
 -   repo: https://github.com/PyCQA/isort
-    rev: 5.9.0
+    rev: 5.9.1
     hooks:
     -   id: isort
 -   repo: https://github.com/asottile/pyupgrade

asv_bench/benchmarks/algos/isin.py

@@ -1,6 +1,9 @@
 import numpy as np
 
-from pandas.compat.numpy import np_version_under1p20
+try:
+    from pandas.compat import np_version_under1p20
+except ImportError:
+    from pandas.compat.numpy import _np_version_under1p20 as np_version_under1p20
 
 from pandas import (
     Categorical,

asv_bench/benchmarks/groupby.py

@@ -832,4 +832,18 @@ def function(values):
         self.grouper.agg(function, engine="cython")
 
 
+class Sample:
+    def setup(self):
+        N = 10 ** 3
+        self.df = DataFrame({"a": np.zeros(N)})
+        self.groups = np.arange(0, N)
+        self.weights = np.ones(N)
+
+    def time_sample(self):
+        self.df.groupby(self.groups).sample(n=1)
+
+    def time_sample_weights(self):
+        self.df.groupby(self.groups).sample(n=1, weights=self.weights)
+
+
 from .pandas_vb_common import setup  # noqa: F401 isort:skip

ci/azure/windows.yml

@@ -12,11 +12,13 @@ jobs:
         ENV_FILE: ci/deps/azure-windows-37.yaml
         CONDA_PY: "37"
         PATTERN: "not slow and not network"
+        PYTEST_WORKERS: 2  # GH-42236
 
       py38_np18:
         ENV_FILE: ci/deps/azure-windows-38.yaml
         CONDA_PY: "38"
         PATTERN: "not slow and not network and not high_memory"
+        PYTEST_WORKERS: 2  # GH-42236
 
   steps:
     - powershell: |

doc/source/whatsnew/index.rst

@@ -24,6 +24,7 @@ Version 1.3
 .. toctree::
    :maxdepth: 2
 
+   v1.3.1
    v1.3.0
 
 Version 1.2

doc/source/whatsnew/v1.3.0.rst

@@ -1,7 +1,7 @@
 .. _whatsnew_130:
 
-What's new in 1.3.0 (June ??)
------------------------------
+What's new in 1.3.0 (July 2, 2021)
+----------------------------------
 
 These are the changes in pandas 1.3.0. See :ref:`release` for a full changelog
 including other versions of pandas.
@@ -136,7 +136,7 @@ which has been revised and improved (:issue:`39720`, :issue:`39317`, :issue:`404
  - Many features of the :class:`.Styler` class are now either partially or fully usable on a DataFrame with a non-unique indexes or columns (:issue:`41143`)
  - One has greater control of the display through separate sparsification of the index or columns using the :ref:`new styler options <options.available>`, which are also usable via :func:`option_context` (:issue:`41142`)
  - Added the option ``styler.render.max_elements`` to avoid browser overload when styling large DataFrames (:issue:`40712`)
- - Added the method :meth:`.Styler.to_latex` (:issue:`21673`), which also allows some limited CSS conversion (:issue:`40731`)
+ - Added the method :meth:`.Styler.to_latex` (:issue:`21673`, :issue:`42320`), which also allows some limited CSS conversion (:issue:`40731`)
  - Added the method :meth:`.Styler.to_html` (:issue:`13379`)
  - Added the method :meth:`.Styler.set_sticky` to make index and column headers permanently visible in scrolling HTML frames (:issue:`29072`)
 
@@ -707,6 +707,7 @@ Other API changes
 - Added new ``engine`` and ``**engine_kwargs`` parameters to :meth:`DataFrame.to_sql` to support other future "SQL engines". Currently we still only use ``SQLAlchemy`` under the hood, but more engines are planned to be supported such as `turbodbc <https://turbodbc.readthedocs.io/en/latest/>`_ (:issue:`36893`)
 - Removed redundant ``freq`` from :class:`PeriodIndex` string representation (:issue:`41653`)
 - :meth:`ExtensionDtype.construct_array_type` is now a required method instead of an optional one for :class:`ExtensionDtype` subclasses (:issue:`24860`)
+- Calling ``hash`` on non-hashable pandas objects will now raise ``TypeError`` with the built-in error message (e.g. ``unhashable type: 'Series'``). Previously it would raise a custom message such as ``'Series' objects are mutable, thus they cannot be hashed``. Furthermore, ``isinstance(<Series>, abc.collections.Hashable)`` will now return ``False`` (:issue:`40013`)
 - :meth:`.Styler.from_custom_template` now has two new arguments for template names, and removed the old ``name``, due to template inheritance having been introducing for better parsing (:issue:`42053`). Subclassing modifications to Styler attributes are also needed.
 
 .. _whatsnew_130.api_breaking.build:
@@ -1232,4 +1233,4 @@ Other
 Contributors
 ~~~~~~~~~~~~
 
-.. contributors:: v1.2.5..v1.3.0|HEAD
+.. contributors:: v1.2.5..v1.3.0

doc/source/whatsnew/v1.3.1.rst

@@ -0,0 +1,45 @@
+.. _whatsnew_131:
+
+What's new in 1.3.1 (July ??, 2021)
+-----------------------------------
+
+These are the changes in pandas 1.3.1. See :ref:`release` for a full changelog
+including other versions of pandas.
+
+{{ header }}
+
+.. ---------------------------------------------------------------------------
+
+.. _whatsnew_131.regressions:
+
+Fixed regressions
+~~~~~~~~~~~~~~~~~
+-
+-
+
+.. ---------------------------------------------------------------------------
+
+.. _whatsnew_131.bug_fixes:
+
+Bug fixes
+~~~~~~~~~
+-
+-
+
+.. ---------------------------------------------------------------------------
+
+.. _whatsnew_131.other:
+
+Other
+~~~~~
+-
+-
+
+.. ---------------------------------------------------------------------------
+
+.. _whatsnew_131.contributors:
+
+Contributors
+~~~~~~~~~~~~
+
+.. contributors:: v1.3.0..v1.3.1|HEAD

doc/source/whatsnew/v1.4.0.rst

@@ -87,7 +87,7 @@ See :ref:`install.dependencies` and :ref:`install.optional_dependencies` for mor
 
 Other API changes
 ^^^^^^^^^^^^^^^^^
--
+- :meth:`Index.get_indexer_for` no longer accepts keyword arguments (other than 'target'); in the past these would be silently ignored if the index was not unique (:issue:`42310`)
 -
 
 .. ---------------------------------------------------------------------------
@@ -97,7 +97,8 @@ Other API changes
 Deprecations
 ~~~~~~~~~~~~
 - Deprecated :meth:`Index.is_type_compatible` (:issue:`42113`)
-- Deprecated treating ``numpy.datetime64`` objects as UTC times when passed to the :class:`Timestamp` constructor along with a timezone. In a future version, these will be treated as wall-times. To retain the old behavior, use ``Timestamp(dt64).tz_localize("UTC").tz_convert(tz)`` (:issue:`42288`)
+- Deprecated ``method`` argument in :meth:`Index.get_loc`, use ``index.get_indexer([label], method=...)`` instead (:issue:`42269`)
+- Deprecated treating ``numpy.datetime64`` objects as UTC times when passed to the :class:`Timestamp` constructor along with a timezone. In a future version, these will be treated as wall-times. To retain the old behavior, use ``Timestamp(dt64).tz_localize("UTC").tz_convert(tz)`` (:issue:`24559`)
 -
 
 .. ---------------------------------------------------------------------------
@@ -106,7 +107,7 @@ Deprecations
 
 Performance improvements
 ~~~~~~~~~~~~~~~~~~~~~~~~
--
+- Performance improvement in :meth:`.GroupBy.sample`, especially when ``weights`` argument provided (:issue:`34483`)
 -
 
 .. ---------------------------------------------------------------------------
@@ -159,7 +160,7 @@ Interval
 
 Indexing
 ^^^^^^^^
--
+- Bug in indexing on a :class:`Series` or :class:`DataFrame` with a :class:`DatetimeIndex` when passing a string, the return type depended on whether the index was monotonic (:issue:`24892`)
 -
 
 Missing
@@ -174,6 +175,7 @@ MultiIndex
 
 I/O
 ^^^
+- Bug in :func:`read_excel` attempting to read chart sheets from .xlsx files (:issue:`41448`)
 -
 -
 

pandas/_libs/algos.pyi

@@ -123,7 +123,7 @@ def is_monotonic(
 
 def rank_1d(
     values: np.ndarray,  # ndarray[rank_t, ndim=1]
-    labels: np.ndarray,  # const int64_t[:]
+    labels: np.ndarray | None = ...,  # const int64_t[:]=None
     is_datetimelike: bool = ...,
     ties_method=...,
     ascending: bool = ...,