Merge branch 'main' into deps/pytz/optional

Author: mroeschke

.circleci/config.yml

@@ -16,6 +16,7 @@ jobs:
       - run:
           name: Install Environment and Run Tests
           shell: /bin/bash -exo pipefail
+          # https://pytest-qt.readthedocs.io/en/latest/troubleshooting.html#github-actions-azure-pipelines-travis-ci-and-gitlab-ci-cd
           command: |
             MINI_URL="https://github.com/conda-forge/miniforge/releases/download/24.3.0-0/Miniforge3-24.3.0-0-Linux-aarch64.sh"
             wget -q $MINI_URL -O Miniforge3.sh
@@ -33,6 +34,7 @@ jobs:
             fi
             python -m pip install --no-build-isolation -ve . --config-settings=setup-args="--werror"
             PATH=$HOME/miniconda3/envs/pandas-dev/bin:$HOME/miniconda3/condabin:$PATH
+            sudo apt-get update && sudo apt-get install -y libegl1 libopengl0
             ci/run_tests.sh
   test-linux-musl:
     docker:
@@ -89,8 +91,8 @@ jobs:
           name: Build aarch64 wheels
           no_output_timeout: 30m # Sometimes the tests won't generate any output, make sure the job doesn't get killed by that
           command: |
-            pip3 install cibuildwheel==2.18.1
-            cibuildwheel --prerelease-pythons --output-dir wheelhouse
+            pip3 install cibuildwheel==2.20.0
+            cibuildwheel --output-dir wheelhouse
 
           environment:
             CIBW_BUILD: << parameters.cibw-build >>

.github/workflows/code-checks.yml

@@ -51,6 +51,11 @@ jobs:
     # TODO: The doctests have to be run first right now, since the Cython doctests only work
     # with pandas installed in non-editable mode
     # This can be removed once pytest-cython doesn't require C extensions to be installed inplace
+
+    - name: Extra installs
+      # https://pytest-qt.readthedocs.io/en/latest/troubleshooting.html#github-actions-azure-pipelines-travis-ci-and-gitlab-ci-cd
+      run: sudo apt-get update && sudo apt-get install -y libegl1 libopengl0
+
     - name: Run doctests
       run: cd ci && ./code_checks.sh doctests
       if: ${{ steps.build.outcome == 'success' && always() }}

.github/workflows/docbuild-and-upload.yml

@@ -46,6 +46,10 @@ jobs:
     - name: Build Pandas
       uses: ./.github/actions/build_pandas
 
+    - name: Extra installs
+      # https://pytest-qt.readthedocs.io/en/latest/troubleshooting.html#github-actions-azure-pipelines-travis-ci-and-gitlab-ci-cd
+      run: sudo apt-get update && sudo apt-get install -y libegl1 libopengl0
+
     - name: Test website
       run: python -m pytest web/
 

.github/workflows/unit-tests.yml

@@ -134,8 +134,8 @@ jobs:
         fetch-depth: 0
 
     - name: Extra installs
-      run: sudo apt-get update && sudo apt-get install -y ${{ matrix.extra_apt }}
-      if: ${{ matrix.extra_apt }}
+      # https://pytest-qt.readthedocs.io/en/latest/troubleshooting.html#github-actions-azure-pipelines-travis-ci-and-gitlab-ci-cd
+      run: sudo apt-get update && sudo apt-get install -y libegl1 libopengl0 ${{ matrix.extra_apt || ''}}
 
     - name: Generate extra locales
       # These extra locales will be available for locale.setlocale() calls in tests

.github/workflows/wheels.yml

@@ -158,11 +158,10 @@ jobs:
         run: echo "sdist_name=$(cd ./dist && ls -d */)" >> "$GITHUB_ENV"
 
       - name: Build wheels
-        uses: pypa/cibuildwheel@v2.19.2
+        uses: pypa/cibuildwheel@v2.20.0
         with:
          package-dir: ./dist/${{ startsWith(matrix.buildplat[1], 'macosx') && env.sdist_name || needs.build_sdist.outputs.sdist_file }}
         env:
-          CIBW_PRERELEASE_PYTHONS: True
           CIBW_BUILD: ${{ matrix.python[0] }}-${{ matrix.buildplat[1] }}
           CIBW_BUILD_FRONTEND: ${{ matrix.cibw_build_frontend || 'pip' }}
           CIBW_PLATFORM: ${{ matrix.buildplat[1] == 'pyodide_wasm32' && 'pyodide' || 'auto' }}

ci/code_checks.sh

@@ -70,7 +70,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         --format=actions \
         -i ES01 `# For now it is ok if docstrings are missing the extended summary` \
         -i "pandas.Series.dt PR01" `# Accessors are implemented as classes, but we do not document the Parameters section` \
-        -i "pandas.MultiIndex.get_level_values SA01" \
         -i "pandas.MultiIndex.get_loc_level PR07" \
         -i "pandas.MultiIndex.names SA01" \
         -i "pandas.MultiIndex.reorder_levels RT03,SA01" \
@@ -165,9 +164,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Series.str.center RT03,SA01" \
         -i "pandas.Series.str.decode PR07,RT03,SA01" \
         -i "pandas.Series.str.encode PR07,RT03,SA01" \
-        -i "pandas.Series.str.find RT03" \
-        -i "pandas.Series.str.fullmatch RT03" \
-        -i "pandas.Series.str.get RT03,SA01" \
         -i "pandas.Series.str.index RT03" \
         -i "pandas.Series.str.ljust RT03,SA01" \
         -i "pandas.Series.str.lower RT03" \
@@ -177,7 +173,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Series.str.partition RT03" \
         -i "pandas.Series.str.repeat SA01" \
         -i "pandas.Series.str.replace SA01" \
-        -i "pandas.Series.str.rfind RT03" \
         -i "pandas.Series.str.rindex RT03" \
         -i "pandas.Series.str.rjust RT03,SA01" \
         -i "pandas.Series.str.rpartition RT03" \
@@ -267,9 +262,7 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.api.extensions.ExtensionArray.tolist RT03,SA01" \
         -i "pandas.api.extensions.ExtensionArray.unique RT03,SA01" \
         -i "pandas.api.extensions.ExtensionArray.view SA01" \
-        -i "pandas.api.indexers.VariableOffsetWindowIndexer PR01,SA01" \
         -i "pandas.api.interchange.from_dataframe RT03,SA01" \
-        -i "pandas.api.types.is_any_real_numeric_dtype SA01" \
         -i "pandas.api.types.is_bool PR01,SA01" \
         -i "pandas.api.types.is_bool_dtype SA01" \
         -i "pandas.api.types.is_categorical_dtype SA01" \
@@ -296,7 +289,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.api.types.is_period_dtype SA01" \
         -i "pandas.api.types.is_re PR07,SA01" \
         -i "pandas.api.types.is_re_compilable PR07,SA01" \
-        -i "pandas.api.types.is_sparse SA01" \
         -i "pandas.api.types.is_timedelta64_ns_dtype SA01" \
         -i "pandas.api.types.pandas_dtype PR07,RT03,SA01" \
         -i "pandas.arrays.ArrowExtensionArray PR07,SA01" \

doc/source/development/contributing.rst

@@ -74,7 +74,6 @@ If you are new to Git, you can reference some of these resources for learning Gi
 to the :ref:`contributor community <community>` for help if needed:
 
 * `Git documentation <https://git-scm.com/doc>`_.
-* `Numpy's Git resources <https://numpy.org/doc/stable/dev/gitwash/git_resources.html>`_ tutorial.
 
 Also, the project follows a forking workflow further described on this page whereby
 contributors fork the repository, make changes and then create a pull request.

doc/source/user_guide/basics.rst

@@ -155,16 +155,6 @@ speedups. ``numexpr`` uses smart chunking, caching, and multiple cores. ``bottle
 a set of specialized cython routines that are especially fast when dealing with arrays that have
 ``nans``.
 
-Here is a sample (using 100 column x 100,000 row ``DataFrames``):
-
-.. csv-table::
-    :header: "Operation", "0.11.0 (ms)", "Prior Version (ms)", "Ratio to Prior"
-    :widths: 25, 25, 25, 25
-
-    ``df1 > df2``, 13.32, 125.35,  0.1063
-    ``df1 * df2``, 21.71,  36.63,  0.5928
-    ``df1 + df2``, 22.04,  36.50,  0.6039
-
 You are highly encouraged to install both libraries. See the section
 :ref:`Recommended Dependencies <install.recommended_dependencies>` for more installation info.
 

doc/source/whatsnew/v3.0.0.rst

@@ -580,6 +580,7 @@ Strings
 
 Interval
 ^^^^^^^^
+- :meth:`Index.is_monotonic_decreasing`, :meth:`Index.is_monotonic_increasing`, and :meth:`Index.is_unique` could incorrectly be ``False`` for an ``Index`` created from a slice of another ``Index``. (:issue:`57911`)
 - Bug in :func:`interval_range` where start and end numeric types were always cast to 64 bit (:issue:`57268`)
 -
 
@@ -642,6 +643,7 @@ Groupby/resample/rolling
 - Bug in :meth:`DataFrameGroupBy.agg` that raises ``AttributeError`` when there is dictionary input and duplicated columns, instead of returning a DataFrame with the aggregation of all duplicate columns. (:issue:`55041`)
 - Bug in :meth:`DataFrameGroupBy.apply` that was returning a completely empty DataFrame when all return values of ``func`` were ``None`` instead of returning an empty DataFrame with the original columns and dtypes. (:issue:`57775`)
 - Bug in :meth:`DataFrameGroupBy.apply` with ``as_index=False`` that was returning :class:`MultiIndex` instead of returning :class:`Index`. (:issue:`58291`)
+- Bug in :meth:`DataFrameGroupBy.cumsum` and :meth:`DataFrameGroupBy.cumprod` where ``numeric_only`` parameter was passed indirectly through kwargs instead of passing directly. (:issue:`58811`)
 - Bug in :meth:`DataFrameGroupBy.cumsum` where it did not return the correct dtype when the label contained ``None``. (:issue:`58811`)
 - Bug in :meth:`DataFrameGroupby.transform` and :meth:`SeriesGroupby.transform` with a reducer and ``observed=False`` that coerces dtype to float when there are unobserved categories. (:issue:`55326`)
 - Bug in :meth:`Rolling.apply` where the applied function could be called on fewer than ``min_period`` periods if ``method="table"``. (:issue:`58868`)

pandas/_libs/index.pyx

@@ -252,14 +252,24 @@ cdef class IndexEngine:
         return self.sizeof()
 
     cpdef _update_from_sliced(self, IndexEngine other, reverse: bool):
-        self.unique = other.unique
-        self.need_unique_check = other.need_unique_check
+        if other.unique:
+            self.unique = other.unique
+            self.need_unique_check = other.need_unique_check
+
         if not other.need_monotonic_check and (
                 other.is_monotonic_increasing or other.is_monotonic_decreasing):
-            self.need_monotonic_check = other.need_monotonic_check
-            # reverse=True means the index has been reversed
-            self.monotonic_inc = other.monotonic_dec if reverse else other.monotonic_inc
-            self.monotonic_dec = other.monotonic_inc if reverse else other.monotonic_dec
+            self.need_monotonic_check = 0
+            if len(self.values) > 0 and self.values[0] != self.values[-1]:
+                # reverse=True means the index has been reversed
+                if reverse:
+                    self.monotonic_inc = other.monotonic_dec
+                    self.monotonic_dec = other.monotonic_inc
+                else:
+                    self.monotonic_inc = other.monotonic_inc
+                    self.monotonic_dec = other.monotonic_dec
+            else:
+                self.monotonic_inc = 1
+                self.monotonic_dec = 1
 
     @property
     def is_unique(self) -> bool:
@@ -882,14 +892,24 @@ cdef class SharedEngine:
         pass
 
     cpdef _update_from_sliced(self, ExtensionEngine other, reverse: bool):
-        self.unique = other.unique
-        self.need_unique_check = other.need_unique_check
+        if other.unique:
+            self.unique = other.unique
+            self.need_unique_check = other.need_unique_check
+
         if not other.need_monotonic_check and (
                 other.is_monotonic_increasing or other.is_monotonic_decreasing):
-            self.need_monotonic_check = other.need_monotonic_check
-            # reverse=True means the index has been reversed
-            self.monotonic_inc = other.monotonic_dec if reverse else other.monotonic_inc
-            self.monotonic_dec = other.monotonic_inc if reverse else other.monotonic_dec
+            self.need_monotonic_check = 0
+            if len(self.values) > 0 and self.values[0] != self.values[-1]:
+                # reverse=True means the index has been reversed
+                if reverse:
+                    self.monotonic_inc = other.monotonic_dec
+                    self.monotonic_dec = other.monotonic_inc
+                else:
+                    self.monotonic_inc = other.monotonic_inc
+                    self.monotonic_dec = other.monotonic_dec
+            else:
+                self.monotonic_inc = 1
+                self.monotonic_dec = 1
 
     @property
     def is_unique(self) -> bool: