FEAT-#6890: Modin implementation of DataFrame API standard

.github/workflows/ci.yml

@@ -115,6 +115,7 @@ jobs:
       - run: python -m pytest modin/tests/test_utils.py
       - run: python -m pytest asv_bench/test/test_utils.py
       - run: python -m pytest modin/tests/interchange/dataframe_protocol/base
+      - run: python -m pytest modin/tests/test_dataframe_api_standard.py
       - run: python -m pytest modin/tests/test_logging.py
       - uses: ./.github/actions/upload-coverage
 

docs/getting_started/installation.rst

@@ -74,6 +74,15 @@ storage formats or for different functionalities of Modin. Here is a list of dep
 
   pip install "modin[mpi]" # If you want to use MPI through unidist execution engine
 
+
+Consortium Standard-compatible implementation based on modin
+""""""""""""""""""""""""""""""""""""""""""""""""""""""""""""
+
+.. code-block:: bash
+
+  pip install "modin[consortium-standard]"
+
+
 Installing on Google Colab
 """""""""""""""""""""""""""
 

environment-dev.yml

@@ -61,6 +61,7 @@ dependencies:
   - isort>=5.12
 
   - pip:
+      - git+https://github.com/data-apis/dataframe-api-compat.git@42969958d4dada47dae318b470d9855ee8bbe3a5
       - asv==0.5.1
       # no conda package for windows so we install it with pip
       - connectorx>=0.2.6a4

modin/pandas/dataframe.py

@@ -67,6 +67,7 @@
     _inherit_docstrings,
     expanduser_path_arg,
     hashable,
+    import_optional_dependency,
     try_cast_to_pandas,
 )
 
@@ -2892,6 +2893,23 @@ def __dataframe__(self, nan_as_null: bool = False, allow_copy: bool = True):
             nan_as_null=nan_as_null, allow_copy=allow_copy
         )
 
+    def __dataframe_consortium_standard__(
+        self, *, api_version: str | None = None
+    ):  # noqa: PR01, RT01
+        """
+        Provide entry point to the Consortium DataFrame Standard API.
+
+        This is developed and maintained outside of Modin.
+        Please report any issues to https://github.com/data-apis/dataframe-api-compat.
+        """
+        dataframe_api_compat = import_optional_dependency(
+            "dataframe_api_compat", "implementation"
+        )
+        convert_to_standard_compliant_dataframe = (
+            dataframe_api_compat.modin_standard.convert_to_standard_compliant_dataframe
+        )
+        return convert_to_standard_compliant_dataframe(self, api_version=api_version)
+
     @property
     def attrs(self) -> dict:  # noqa: RT01, D200
         """

modin/pandas/series.py

@@ -34,7 +34,11 @@
 from modin.config import PersistentPickle
 from modin.logging import disable_logging
 from modin.pandas.io import from_pandas, to_pandas
-from modin.utils import MODIN_UNNAMED_SERIES_LABEL, _inherit_docstrings
+from modin.utils import (
+    MODIN_UNNAMED_SERIES_LABEL,
+    _inherit_docstrings,
+    import_optional_dependency,
+)
 
 from .accessor import CachedAccessor, SparseAccessor
 from .base import _ATTRS_NO_LOOKUP, BasePandasDataset
@@ -222,6 +226,22 @@ def __array__(self, dtype=None) -> np.ndarray:  # noqa: PR01, RT01, D200
         """
         return super(Series, self).__array__(dtype).flatten()
 
+    def __column_consortium_standard__(
+        self, *, api_version: str | None = None
+    ):  # noqa: PR01, RT01
+        """
+        Provide entry point to the Consortium DataFrame Standard API.
+
+        This is developed and maintained outside of Modin.
+        Please report any issues to https://github.com/data-apis/dataframe-api-compat.
+        """
+        dataframe_api_compat = import_optional_dependency(
+            "dataframe_api_compat", "implementation"
+        )
+        return dataframe_api_compat.modin_standard.convert_to_standard_compliant_column(
+            self, api_version=api_version
+        )
+
     def __contains__(self, key: Hashable) -> bool:
         """
         Check if `key` in the `Series.index`.

modin/tests/test_dataframe_api_standard.py

@@ -0,0 +1,37 @@
+# Licensed to Modin Development Team under one or more contributor license agreements.
+# See the NOTICE file distributed with this work for additional information regarding
+# copyright ownership.  The Modin Development Team licenses this file to you under the
+# Apache License, Version 2.0 (the "License"); you may not use this file except in
+# compliance with the License.  You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software distributed under
+# the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF
+# ANY KIND, either express or implied. See the License for the specific language
+# governing permissions and limitations under the License.
+
+import pytest
+
+import modin.pandas
+
+
+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 = modin.pandas.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 = modin.pandas.Series([1, 2, 3])
+    col = ser.__column_consortium_standard__()
+    result_2 = col.get_value(1)
+    expected_2 = 2
+    assert result_2 == expected_2

requirements-dev.txt

@@ -35,6 +35,7 @@ tqdm>=4.60.0
 numexpr<2.8.5
 # Latest modin-spreadsheet with widget fix
 git+https://github.com/modin-project/modin-spreadsheet.git@49ffd89f683f54c311867d602c55443fb11bf2a5
+git+https://github.com/data-apis/dataframe-api-compat.git@42969958d4dada47dae318b470d9855ee8bbe3a5
 
 ## dependencies for making release
 PyGithub>=1.58.0

requirements/env_hdk.yml

@@ -43,5 +43,6 @@ dependencies:
   - mypy>=1.0.0
 
   - pip:
+      - git+https://github.com/data-apis/dataframe-api-compat.git@42969958d4dada47dae318b470d9855ee8bbe3a5
       # The `numpydoc` version should match the version installed in the `lint-pydocstyle` job of the CI.
       - numpydoc==1.1.0

requirements/env_unidist_win.yml

@@ -54,6 +54,7 @@ dependencies:
   - pandas-stubs>=2.0.0
 
   - pip:
+      - git+https://github.com/data-apis/dataframe-api-compat.git@42969958d4dada47dae318b470d9855ee8bbe3a5
       # Fixes breaking ipywidgets changes, but didn't release yet.
       - git+https://github.com/modin-project/modin-spreadsheet.git@49ffd89f683f54c311867d602c55443fb11bf2a5
       - connectorx>=0.2.6a4

requirements/requirements-no-engine.yml

@@ -45,6 +45,7 @@ dependencies:
   - flake8-print>=5.0.0
 
   - pip:
+      - git+https://github.com/data-apis/dataframe-api-compat.git@42969958d4dada47dae318b470d9855ee8bbe3a5
       - asv==0.5.1
       # no conda package for windows
       - connectorx>=0.2.6a4

setup.py

@@ -9,12 +9,13 @@
 # ray==2.5.0 broken: https://github.com/conda-forge/ray-packages-feedstock/issues/100
 ray_deps = ["ray[default]>=2.1.0,!=2.5.0", "pyarrow>=7.0.0"]
 mpi_deps = ["unidist[mpi]>=0.2.1"]
+consortium_standard_deps = ["dataframe-api-compat@git+https://github.com/data-apis/dataframe-api-compat.git@42969958d4dada47dae318b470d9855ee8bbe3a5"]
 spreadsheet_deps = ["modin-spreadsheet>=0.1.0"]
 # Currently, Modin does not include `mpi` option in `all`.
 # Otherwise, installation of modin[all] would fail because
 # users need to have a working MPI implementation and
 # certain software installed beforehand.
-all_deps = dask_deps + ray_deps + spreadsheet_deps
+all_deps = dask_deps + ray_deps + spreadsheet_deps + consortium_standard_deps
 
 # Distribute 'modin-autoimport-pandas.pth' along with binary and source distributions.
 # This file provides the "import pandas before Ray init" feature if specific
@@ -62,6 +63,7 @@ def make_distribution(self):
         "dask": dask_deps,
         "ray": ray_deps,
         "mpi": mpi_deps,
+        "consortium-standard": consortium_standard_deps,
         "spreadsheet": spreadsheet_deps,
         "all": all_deps,
     },