Merge remote-tracking branch 'upstream/main' into examplesMay31

Author: DeaMariaLeon

.circleci/config.yml

@@ -26,7 +26,6 @@ jobs:
       image: ubuntu-2004:2022.04.1
     resource_class: arm.large
     environment:
-      ENV_FILE: ci/deps/circle-38-arm64.yaml
       TRIGGER_SOURCE: << pipeline.trigger_source >>
     steps:
       - checkout

.github/workflows/wheels.yml

@@ -73,7 +73,7 @@ jobs:
           fetch-depth: 0
 
       - name: Build wheels
-        uses: pypa/cibuildwheel@v2.12.3
+        uses: pypa/cibuildwheel@v2.13.0
         env:
           CIBW_BUILD: ${{ matrix.python[0] }}-${{ matrix.buildplat[1] }}
 

ci/code_checks.sh

@@ -258,17 +258,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.IntervalIndex.to_tuples \
         pandas.MultiIndex.dtypes \
         pandas.MultiIndex.drop \
-        pandas.DatetimeIndex \
-        pandas.DatetimeIndex.date \
-        pandas.DatetimeIndex.time \
-        pandas.DatetimeIndex.timetz \
-        pandas.DatetimeIndex.dayofyear \
-        pandas.DatetimeIndex.day_of_year \
-        pandas.DatetimeIndex.quarter \
-        pandas.DatetimeIndex.tz \
-        pandas.DatetimeIndex.freqstr \
-        pandas.DatetimeIndex.inferred_freq \
-        pandas.DatetimeIndex.indexer_at_time \
         pandas.DatetimeIndex.indexer_between_time \
         pandas.DatetimeIndex.snap \
         pandas.DatetimeIndex.as_unit \
@@ -277,7 +266,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         pandas.DatetimeIndex.mean \
         pandas.DatetimeIndex.std \
         pandas.TimedeltaIndex \
-        pandas.TimedeltaIndex.days \
         pandas.TimedeltaIndex.seconds \
         pandas.TimedeltaIndex.microseconds \
         pandas.TimedeltaIndex.nanoseconds \

doc/source/development/contributing_codebase.rst

@@ -770,7 +770,7 @@ install pandas) by typing::
     your installation is probably fine and you can start contributing!
 
 Often it is worth running only a subset of tests first around your changes before running the
-entire suite (tip: you can use the [pandas-coverage app](https://pandas-coverage.herokuapp.com/)
+entire suite (tip: you can use the [pandas-coverage app](https://pandas-coverage.herokuapp.com/))
 to find out which tests hit the lines of code you've modified, and then run only those).
 
 The easiest way to do this is with::

doc/source/getting_started/index.rst

@@ -24,7 +24,7 @@ Installation
 
         .. code-block:: bash
 
-            conda install pandas
+            conda install -c conda-forge pandas
 
     .. grid-item-card:: Prefer pip?
         :class-card: install-card

doc/source/getting_started/install.rst

@@ -295,7 +295,7 @@ Installable with ``pip install "pandas[performance]"``
 ===================================================== ================== ================== ===================================================================================================================================================================================
 Dependency                                            Minimum Version    pip extra          Notes
 ===================================================== ================== ================== ===================================================================================================================================================================================
-`numexpr <https://github.com/pydata/numexpr>`__       2.8.0              performance        Accelerates certain numerical operations by using uses multiple cores as well as smart chunking and caching to achieve large speedups
+`numexpr <https://github.com/pydata/numexpr>`__       2.8.0              performance        Accelerates certain numerical operations by using multiple cores as well as smart chunking and caching to achieve large speedups
 `bottleneck <https://github.com/pydata/bottleneck>`__ 1.3.4              performance        Accelerates certain types of ``nan`` by using specialized cython routines to achieve large speedup.
 `numba <https://github.com/numba/numba>`__            0.55.2             performance        Alternative execution engine for operations that accept ``engine="numba"`` using a JIT compiler that translates Python functions to optimized machine code using the LLVM compiler.
 ===================================================== ================== ================== ===================================================================================================================================================================================

doc/source/user_guide/basics.rst

@@ -2128,7 +2128,7 @@ different numeric dtypes will **NOT** be combined. The following example will gi
        {
            "A": pd.Series(np.random.randn(8), dtype="float16"),
            "B": pd.Series(np.random.randn(8)),
-           "C": pd.Series(np.array(np.random.randn(8), dtype="uint8")),
+           "C": pd.Series(np.random.randint(0, 255, size=8), dtype="uint8"),  # [0,255] (range of uint8)
        }
    )
    df2

doc/source/whatsnew/index.rst

@@ -24,6 +24,7 @@ Version 2.0
 .. toctree::
    :maxdepth: 2
 
+   v2.0.3
    v2.0.2
    v2.0.1
    v2.0.0

doc/source/whatsnew/v2.0.0.rst

@@ -1413,4 +1413,4 @@ Other
 Contributors
 ~~~~~~~~~~~~
 
-.. contributors:: v1.5.0rc0..v2.0.0|HEAD
+.. contributors:: v1.5.0rc0..v2.0.0

doc/source/whatsnew/v2.0.1.rst

@@ -65,4 +65,4 @@ Other
 Contributors
 ~~~~~~~~~~~~
 
-.. contributors:: v2.0.0..v2.0.1|HEAD
+.. contributors:: v2.0.0..v2.0.1