CLN remove dataframe api consortium entrypoint (#57482)

remove dataframe api consortium entrypoint

.github/workflows/package-checks.yml

@@ -24,7 +24,7 @@ jobs:
     runs-on: ubuntu-22.04
     strategy:
       matrix:
-        extra: ["test", "performance", "computation", "fss", "aws", "gcp", "excel", "parquet", "feather", "hdf5", "spss", "postgresql", "mysql", "sql-other", "html", "xml", "plot", "output-formatting", "clipboard", "compression", "consortium-standard", "all"]
+        extra: ["test", "performance", "computation", "fss", "aws", "gcp", "excel", "parquet", "feather", "hdf5", "spss", "postgresql", "mysql", "sql-other", "html", "xml", "plot", "output-formatting", "clipboard", "compression", "all"]
       fail-fast: false
     name: Install Extras - ${{ matrix.extra }}
     concurrency:

ci/deps/actions-311-downstream_compat.yaml

@@ -74,5 +74,4 @@ dependencies:
   - pip:
     - adbc-driver-postgresql>=0.8.0
     - adbc-driver-sqlite>=0.8.0
-    - dataframe-api-compat>=0.1.7
     - tzdata>=2022.7

ci/deps/actions-39-minimum_versions.yaml

@@ -62,5 +62,4 @@ dependencies:
   - pip:
     - adbc-driver-postgresql==0.8.0
     - adbc-driver-sqlite==0.8.0
-    - dataframe-api-compat==0.1.7
     - tzdata==2022.7

doc/source/getting_started/install.rst

@@ -417,14 +417,3 @@ Dependency                Minimum Version    pip extra       Notes
 ========================= ================== =============== =============================================================
 Zstandard                 0.19.0             compression     Zstandard compression
 ========================= ================== =============== =============================================================
-
-Consortium Standard
-^^^^^^^^^^^^^^^^^^^
-
-Installable with ``pip install "pandas[consortium-standard]"``
-
-========================= ================== =================== =============================================================
-Dependency                Minimum Version    pip extra           Notes
-========================= ================== =================== =============================================================
-dataframe-api-compat      0.1.7              consortium-standard Consortium Standard-compatible implementation based on pandas
-========================= ================== =================== =============================================================

environment.yml

@@ -117,6 +117,5 @@ dependencies:
   - pip:
       - adbc-driver-postgresql>=0.8.0
       - adbc-driver-sqlite>=0.8.0
-      - dataframe-api-compat>=0.1.7
       - typing_extensions; python_version<"3.11"
       - tzdata>=2022.7

pandas/compat/_optional.py

@@ -24,7 +24,6 @@
     "bs4": "4.11.2",
     "blosc": "1.21.3",
     "bottleneck": "1.3.6",
-    "dataframe-api-compat": "0.1.7",
     "fastparquet": "2023.04.0",
     "fsspec": "2022.11.0",
     "html5lib": "1.1",

pandas/core/frame.py

@@ -941,21 +941,6 @@ def __dataframe__(
 
         return PandasDataFrameXchg(self, allow_copy=allow_copy)
 
-    def __dataframe_consortium_standard__(
-        self, *, api_version: str | None = None
-    ) -> Any:
-        """
-        Provide entry point to the Consortium DataFrame Standard API.
-
-        This is developed and maintained outside of pandas.
-        Please report any issues to https://github.com/data-apis/dataframe-api-compat.
-        """
-        dataframe_api_compat = import_optional_dependency("dataframe_api_compat")
-        convert_to_standard_compliant_dataframe = (
-            dataframe_api_compat.pandas_standard.convert_to_standard_compliant_dataframe
-        )
-        return convert_to_standard_compliant_dataframe(self, api_version=api_version)
-
     def __arrow_c_stream__(self, requested_schema=None):
         """
         Export the pandas DataFrame as an Arrow C stream PyCapsule.

pandas/core/series.py

@@ -33,7 +33,6 @@
 from pandas._libs.lib import is_range_indexer
 from pandas.compat import PYPY
 from pandas.compat._constants import REF_COUNT
-from pandas.compat._optional import import_optional_dependency
 from pandas.compat.numpy import function as nv
 from pandas.errors import (
     ChainedAssignmentError,
@@ -846,22 +845,6 @@ def __array__(self, dtype: npt.DTypeLike | None = None) -> np.ndarray:
 
     # ----------------------------------------------------------------------
 
-    def __column_consortium_standard__(self, *, api_version: str | None = None) -> Any:
-        """
-        Provide entry point to the Consortium DataFrame Standard API.
-
-        This is developed and maintained outside of pandas.
-        Please report any issues to https://github.com/data-apis/dataframe-api-compat.
-        """
-        dataframe_api_compat = import_optional_dependency("dataframe_api_compat")
-        return (
-            dataframe_api_compat.pandas_standard.convert_to_standard_compliant_column(
-                self, api_version=api_version
-            )
-        )
-
-    # ----------------------------------------------------------------------
-
     # indexers
     @property
     def axes(self) -> list[Index]:

pandas/tests/test_downstream.py

@@ -306,25 +306,6 @@ def test_from_obscure_array(dtype, box):
     tm.assert_index_equal(result, expected)
 
 
-def test_dataframe_consortium() -> None:
-    """
-    Test some basic methods of the dataframe consortium standard.
-
-    Full testing is done at https://github.com/data-apis/dataframe-api-compat,
-    this is just to check that the entry point works as expected.
-    """
-    pytest.importorskip("dataframe_api_compat")
-    df_pd = DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]})
-    df = df_pd.__dataframe_consortium_standard__()
-    result_1 = df.get_column_names()
-    expected_1 = ["a", "b"]
-    assert result_1 == expected_1
-
-    ser = Series([1, 2, 3], name="a")
-    col = ser.__column_consortium_standard__()
-    assert col.name == "a"
-
-
 def test_xarray_coerce_unit():
     # GH44053
     xr = pytest.importorskip("xarray")

pyproject.toml

@@ -84,14 +84,12 @@ plot = ['matplotlib>=3.6.3']
 output-formatting = ['jinja2>=3.1.2', 'tabulate>=0.9.0']
 clipboard = ['PyQt5>=5.15.9', 'qtpy>=2.3.0']
 compression = ['zstandard>=0.19.0']
-consortium-standard = ['dataframe-api-compat>=0.1.7']
 all = ['adbc-driver-postgresql>=0.8.0',
        'adbc-driver-sqlite>=0.8.0',
        'beautifulsoup4>=4.11.2',
        # blosc only available on conda (https://github.com/Blosc/python-blosc/issues/297)
        #'blosc>=1.21.3',
        'bottleneck>=1.3.6',
-       'dataframe-api-compat>=0.1.7',
        'fastparquet>=2023.04.0',
        'fsspec>=2022.11.0',
        'gcsfs>=2022.11.0',

requirements-dev.txt

@@ -85,6 +85,5 @@ requests
 pygments
 adbc-driver-postgresql>=0.8.0
 adbc-driver-sqlite>=0.8.0
-dataframe-api-compat>=0.1.7
 typing_extensions; python_version<"3.11"
 tzdata>=2022.7