ENH: add consortium standard entrypoint

ci/deps/actions-311-downstream_compat.yaml

@@ -73,5 +73,6 @@ dependencies:
   - pyyaml
   - py
   - pip:
+    - dataframe-api-compat>=0.1.7
     - pyqt5>=5.15.6
     - tzdata>=2022.1

ci/deps/actions-39-minimum_versions.yaml

@@ -61,5 +61,6 @@ dependencies:
   - zstandard=0.17.0
 
   - pip:
+    - dataframe-api-compat==0.1.7
     - pyqt5==5.15.6
     - tzdata==2022.1

doc/source/getting_started/install.rst

@@ -415,3 +415,14 @@ brotli                    0.7.0              compression     Brotli compression
 python-snappy             0.6.1              compression     Snappy compression
 Zstandard                 0.17.0             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
+========================= ================== =================== =============================================================

doc/source/whatsnew/v2.1.0.rst

@@ -218,6 +218,7 @@ Other enhancements
 - Many read/to_* functions, such as :meth:`DataFrame.to_pickle` and :func:`read_csv`, support forwarding compression arguments to lzma.LZMAFile (:issue:`52979`)
 - Reductions :meth:`Series.argmax`, :meth:`Series.argmin`, :meth:`Series.idxmax`, :meth:`Series.idxmin`, :meth:`Index.argmax`, :meth:`Index.argmin`, :meth:`DataFrame.idxmax`, :meth:`DataFrame.idxmin` are now supported for object-dtype objects (:issue:`4279`, :issue:`18021`, :issue:`40685`, :issue:`43697`)
 - :meth:`DataFrame.to_parquet` and :func:`read_parquet` will now write and read ``attrs`` respectively (:issue:`54346`)
+- Added support for the DataFrame Consortium Standard (:issue:`54383`)
 - Performance improvement in :meth:`GroupBy.quantile` (:issue:`51722`)
 
 .. ---------------------------------------------------------------------------
@@ -256,65 +257,67 @@ Increased minimum versions for dependencies
 Some minimum supported versions of dependencies were updated.
 If installed, we now require:
 
-+-----------------+-----------------+----------+---------+
-| Package         | Minimum Version | Required | Changed |
-+=================+=================+==========+=========+
-| numpy           | 1.22.4          |    X     |    X    |
-+-----------------+-----------------+----------+---------+
-| mypy (dev)      | 1.4.1           |          |    X    |
-+-----------------+-----------------+----------+---------+
-| beautifulsoup4  | 4.11.1          |          |    X    |
-+-----------------+-----------------+----------+---------+
-| bottleneck      | 1.3.4           |          |    X    |
-+-----------------+-----------------+----------+---------+
-| fastparquet     | 0.8.1           |          |    X    |
-+-----------------+-----------------+----------+---------+
-| fsspec          | 2022.05.0       |          |    X    |
-+-----------------+-----------------+----------+---------+
-| hypothesis      | 6.46.1          |          |    X    |
-+-----------------+-----------------+----------+---------+
-| gcsfs           | 2022.05.0       |          |    X    |
-+-----------------+-----------------+----------+---------+
-| jinja2          | 3.1.2           |          |    X    |
-+-----------------+-----------------+----------+---------+
-| lxml            | 4.8.0           |          |    X    |
-+-----------------+-----------------+----------+---------+
-| numba           | 0.55.2          |          |    X    |
-+-----------------+-----------------+----------+---------+
-| numexpr         | 2.8.0           |          |    X    |
-+-----------------+-----------------+----------+---------+
-| openpyxl        | 3.0.10          |          |    X    |
-+-----------------+-----------------+----------+---------+
-| pandas-gbq      | 0.17.5          |          |    X    |
-+-----------------+-----------------+----------+---------+
-| psycopg2        | 2.9.3           |          |    X    |
-+-----------------+-----------------+----------+---------+
-| pyreadstat      | 1.1.5           |          |    X    |
-+-----------------+-----------------+----------+---------+
-| pyqt5           | 5.15.6          |          |    X    |
-+-----------------+-----------------+----------+---------+
-| pytables        | 3.7.0           |          |    X    |
-+-----------------+-----------------+----------+---------+
-| pytest          | 7.3.2           |          |    X    |
-+-----------------+-----------------+----------+---------+
-| python-snappy   | 0.6.1           |          |    X    |
-+-----------------+-----------------+----------+---------+
-| pyxlsb          | 1.0.9           |          |    X    |
-+-----------------+-----------------+----------+---------+
-| s3fs            | 2022.05.0       |          |    X    |
-+-----------------+-----------------+----------+---------+
-| scipy           | 1.8.1           |          |    X    |
-+-----------------+-----------------+----------+---------+
-| sqlalchemy      | 1.4.36          |          |    X    |
-+-----------------+-----------------+----------+---------+
-| tabulate        | 0.8.10          |          |    X    |
-+-----------------+-----------------+----------+---------+
-| xarray          | 2022.03.0       |          |    X    |
-+-----------------+-----------------+----------+---------+
-| xlsxwriter      | 3.0.3           |          |    X    |
-+-----------------+-----------------+----------+---------+
-| zstandard       | 0.17.0          |          |    X    |
-+-----------------+-----------------+----------+---------+
++----------------------+-----------------+----------+---------+
+| Package              | Minimum Version | Required | Changed |
++======================+=================+==========+=========+
+| numpy                | 1.22.4          |    X     |    X    |
++----------------------+-----------------+----------+---------+
+| mypy (dev)           | 1.4.1           |          |    X    |
++----------------------+-----------------+----------+---------+
+| beautifulsoup4       | 4.11.1          |          |    X    |
++----------------------+-----------------+----------+---------+
+| bottleneck           | 1.3.4           |          |    X    |
++----------------------+-----------------+----------+---------+
+| dataframe-api-compat | 0.1.7           |          |    X    |
++----------------------+-----------------+----------+---------+
+| fastparquet          | 0.8.1           |          |    X    |
++----------------------+-----------------+----------+---------+
+| fsspec               | 2022.05.0       |          |    X    |
++----------------------+-----------------+----------+---------+
+| hypothesis           | 6.46.1          |          |    X    |
++----------------------+-----------------+----------+---------+
+| gcsfs                | 2022.05.0       |          |    X    |
++----------------------+-----------------+----------+---------+
+| jinja2               | 3.1.2           |          |    X    |
++----------------------+-----------------+----------+---------+
+| lxml                 | 4.8.0           |          |    X    |
++----------------------+-----------------+----------+---------+
+| numba                | 0.55.2          |          |    X    |
++----------------------+-----------------+----------+---------+
+| numexpr              | 2.8.0           |          |    X    |
++----------------------+-----------------+----------+---------+
+| openpyxl             | 3.0.10          |          |    X    |
++----------------------+-----------------+----------+---------+
+| pandas-gbq           | 0.17.5          |          |    X    |
++----------------------+-----------------+----------+---------+
+| psycopg2             | 2.9.3           |          |    X    |
++----------------------+-----------------+----------+---------+
+| pyreadstat           | 1.1.5           |          |    X    |
++----------------------+-----------------+----------+---------+
+| pyqt5                | 5.15.6          |          |    X    |
++----------------------+-----------------+----------+---------+
+| pytables             | 3.7.0           |          |    X    |
++----------------------+-----------------+----------+---------+
+| pytest               | 7.3.2           |          |    X    |
++----------------------+-----------------+----------+---------+
+| python-snappy        | 0.6.1           |          |    X    |
++----------------------+-----------------+----------+---------+
+| pyxlsb               | 1.0.9           |          |    X    |
++----------------------+-----------------+----------+---------+
+| s3fs                 | 2022.05.0       |          |    X    |
++----------------------+-----------------+----------+---------+
+| scipy                | 1.8.1           |          |    X    |
++----------------------+-----------------+----------+---------+
+| sqlalchemy           | 1.4.36          |          |    X    |
++----------------------+-----------------+----------+---------+
+| tabulate             | 0.8.10          |          |    X    |
++----------------------+-----------------+----------+---------+
+| xarray               | 2022.03.0       |          |    X    |
++----------------------+-----------------+----------+---------+
+| xlsxwriter           | 3.0.3           |          |    X    |
++----------------------+-----------------+----------+---------+
+| zstandard            | 0.17.0          |          |    X    |
++----------------------+-----------------+----------+---------+
 
 For `optional libraries <https://pandas.pydata.org/docs/getting_started/install.html>`_ the general recommendation is to use the latest version.
 The following table lists the lowest version per library that is currently being tested throughout the development of pandas.

environment.yml

@@ -115,6 +115,7 @@ dependencies:
   - pygments # Code highlighting
 
   - pip:
+      - dataframe-api-compat>=0.1.7
       - sphinx-toggleprompt  # conda-forge version has stricter pins on jinja2
       - typing_extensions; python_version<"3.11"
       - tzdata>=2022.1

pandas/compat/_optional.py

@@ -19,6 +19,7 @@
     "blosc": "1.21.0",
     "bottleneck": "1.3.4",
     "brotli": "0.7.0",
+    "dataframe-api-compat": "0.1.7",
     "fastparquet": "0.8.1",
     "fsspec": "2022.05.0",
     "html5lib": "1.1",

pandas/core/frame.py

@@ -932,6 +932,21 @@ def __dataframe__(
 
         return PandasDataFrameXchg(self, nan_as_null, 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)
+
     # ----------------------------------------------------------------------
 
     @property

pandas/core/series.py

@@ -39,6 +39,7 @@
 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,
@@ -955,6 +956,22 @@ def __array__(self, dtype: npt.DTypeLike | None = None) -> np.ndarray:
             arr.flags.writeable = False
         return arr
 
+    # ----------------------------------------------------------------------
+
+    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
+            )
+        )
+
     # ----------------------------------------------------------------------
     # Unary Methods
 

pandas/tests/test_downstream.py

@@ -334,6 +334,27 @@ def test_from_obscure_array(dtype, array_likes):
     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])
+    col = ser.__column_consortium_standard__()
+    result_2 = col.get_value(1)
+    expected_2 = 2
+    assert result_2 == expected_2
+
+
 def test_xarray_coerce_unit():
     # GH44053
     xr = pytest.importorskip("xarray")

pyproject.toml

@@ -82,11 +82,13 @@ plot = ['matplotlib>=3.6.1']
 output_formatting = ['jinja2>=3.1.2', 'tabulate>=0.8.10']
 clipboard = ['PyQt5>=5.15.6', 'qtpy>=2.2.0']
 compression = ['brotlipy>=0.7.0', 'python-snappy>=0.6.1', 'zstandard>=0.17.0']
+consortium-standard = ['dataframe-api-compat>=0.1.7']
 all = ['beautifulsoup4>=4.11.1',
        # blosc only available on conda (https://github.com/Blosc/python-blosc/issues/297)
        #'blosc>=1.21.0',
        'bottleneck>=1.3.4',
        'brotlipy>=0.7.0',
+       'dataframe-api-compat>=0.1.7',
        'fastparquet>=0.8.1',
        'fsspec>=2022.05.0',
        'gcsfs>=2022.05.0',

requirements-dev.txt

@@ -84,6 +84,7 @@ feedparser
 pyyaml
 requests
 pygments
+dataframe-api-compat>=0.1.7
 sphinx-toggleprompt
 typing_extensions; python_version<"3.11"
 tzdata>=2022.1