cudf-classic and CI cleanups for NumPy/CuPy 2/14 version bump

ci/cudf_pandas_scripts/run_tests.sh

@@ -1,5 +1,5 @@
 #!/bin/bash
-# SPDX-FileCopyrightText: Copyright (c) 2023-2026, NVIDIA CORPORATION & AFFILIATES.  All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
 set -eoxu pipefail
@@ -81,72 +81,63 @@ python -m pytest -p cudf.pandas \
     -k "profiler" \
     ./python/cudf/cudf_pandas_tests/
 
-version_lte() {
-  [ "$1" = "$(echo -e "$1\n$2" | sort -V | head -n1)" ]
-}
-
 read -r -a versions <<< "$(python ci/utils/get_matrix_values.py dependencies.yaml test_cudf_pandas_compat pandas_compat_version)"
 
-if version_lte "${RAPIDS_PY_VERSION}" "3.13"; then
-    for version in "${versions[@]}"; do
-        rapids-logger "Testing cudf.pandas compatibility with pandas ${version}.*"
-
-        # Generate requirements for this pandas compat version.
-        # Each entry pins numpy<2 + the specific pandas minor line + the CUDA-appropriate cupy<14.
-        # cupy>=14 dropped support for numpy<2 (see https://github.com/cupy/cupy/pull/9406).
-        pandas_requirements_txt="pandas-compat-${version}-requirements.txt"
-        rapids-dependency-file-generator \
-            --config dependencies.yaml \
-            --file-key test_cudf_pandas_compat \
-            --output requirements \
-            --matrix "cuda=${RAPIDS_CUDA_VERSION};pandas_compat_version=${version}" \
-            > "${pandas_requirements_txt}"
-
-        env_name="venv_pandas_${version}"
-        python -m venv --clear "${env_name}"
-        # shellcheck disable=SC1090
-        source "${env_name}/bin/activate"
-
-        # notes:
-        #
-        #   * echo to expand wildcard before adding `[test,cudf-pandas-tests]` requires for pip
-        #   * need to provide --constraint="${PIP_CONSTRAINT}" because that environment variable is
-        #     ignored if any other --constraint are passed via the CLI
-        #
-        rapids-pip-retry install \
-            -v \
-            --constraint ./constraints.txt \
-            --constraint "${PIP_CONSTRAINT}" \
-            "$(echo "${CUDF_WHEELHOUSE}"/cudf_"${RAPIDS_PY_CUDA_SUFFIX}"*.whl)[test,cudf-pandas-tests]" \
-            "$(echo "${LIBCUDF_WHEELHOUSE}"/libcudf_"${RAPIDS_PY_CUDA_SUFFIX}"*.whl)" \
-            "$(echo "${PYLIBCUDF_WHEELHOUSE}"/pylibcudf_"${RAPIDS_PY_CUDA_SUFFIX}"*.whl)" \
-            -r "${pandas_requirements_txt}"
-
-        python -m pytest -p cudf.pandas \
-            --ignore=./python/cudf/cudf_pandas_tests/third_party_integration_tests/ \
-            --numprocesses=8 \
-            --dist=worksteal \
-            -k "not profiler" \
-            -m "not serial" \
-            --config-file=./python/cudf/pyproject.toml \
-            --cov-config=./python/cudf/.coveragerc \
-            --cov=cudf \
-            --cov-report=xml:"${RAPIDS_COVERAGE_DIR}/cudf-pandas-coverage.xml" \
-            --cov-report=term \
-            ./python/cudf/cudf_pandas_tests/
-
-        # NOTE: We don't currently run serial tests (only 1 as of 2025-07-25)
-        # with multiple versions of pandas.
-
-        python -m pytest -p cudf.pandas \
-            --ignore=./python/cudf/cudf_pandas_tests/third_party_integration_tests/ \
-            --numprocesses=0 \
-            -k "profiler" \
-            ./python/cudf/cudf_pandas_tests/
-
-        deactivate
-        rm -rf "${env_name}" "${pandas_requirements_txt}"
-    done
-else
-    rapids-logger "Python ${RAPIDS_PY_VERSION} detected (>= 3.13). Skipping cudf.pandas compatibility tests with numpy<2"
-fi
+for version in "${versions[@]}"; do
+    rapids-logger "Testing cudf.pandas compatibility with pandas ${version}.*"
+
+    # Generate requirements for this pandas compat version.
+    # Each entry pins the specific pandas minor line and the CUDA-appropriate cupy.
+    pandas_requirements_txt="pandas-compat-${version}-requirements.txt"
+    rapids-dependency-file-generator \
+        --config dependencies.yaml \
+        --file-key test_cudf_pandas_compat \
+        --output requirements \
+        --matrix "cuda=${RAPIDS_CUDA_VERSION};pandas_compat_version=${version}" \
+        > "${pandas_requirements_txt}"
+
+    env_name="venv_pandas_${version}"
+    python -m venv --clear "${env_name}"
+    # shellcheck disable=SC1090
+    source "${env_name}/bin/activate"
+
+    # notes:
+    #
+    #   * echo to expand wildcard before adding `[test,cudf-pandas-tests]` requires for pip
+    #   * need to provide --constraint="${PIP_CONSTRAINT}" because that environment variable is
+    #     ignored if any other --constraint are passed via the CLI
+    #
+    rapids-pip-retry install \
+        -v \
+        --constraint ./constraints.txt \
+        --constraint "${PIP_CONSTRAINT}" \
+        "$(echo "${CUDF_WHEELHOUSE}"/cudf_"${RAPIDS_PY_CUDA_SUFFIX}"*.whl)[test,cudf-pandas-tests]" \
+        "$(echo "${LIBCUDF_WHEELHOUSE}"/libcudf_"${RAPIDS_PY_CUDA_SUFFIX}"*.whl)" \
+        "$(echo "${PYLIBCUDF_WHEELHOUSE}"/pylibcudf_"${RAPIDS_PY_CUDA_SUFFIX}"*.whl)" \
+        -r "${pandas_requirements_txt}"
+
+    python -m pytest -p cudf.pandas \
+        --ignore=./python/cudf/cudf_pandas_tests/third_party_integration_tests/ \
+        --numprocesses=8 \
+        --dist=worksteal \
+        -k "not profiler" \
+        -m "not serial" \
+        --config-file=./python/cudf/pyproject.toml \
+        --cov-config=./python/cudf/.coveragerc \
+        --cov=cudf \
+        --cov-report=xml:"${RAPIDS_COVERAGE_DIR}/cudf-pandas-coverage.xml" \
+        --cov-report=term \
+        ./python/cudf/cudf_pandas_tests/
+
+    # NOTE: We don't currently run serial tests (only 1 as of 2025-07-25)
+    # with multiple versions of pandas.
+
+    python -m pytest -p cudf.pandas \
+        --ignore=./python/cudf/cudf_pandas_tests/third_party_integration_tests/ \
+        --numprocesses=0 \
+        -k "profiler" \
+        ./python/cudf/cudf_pandas_tests/
+
+    deactivate
+    rm -rf "${env_name}" "${pandas_requirements_txt}"
+done

python/cudf/cudf/api/extensions/accessor.py

@@ -1,4 +1,4 @@
-# SPDX-FileCopyrightText: Copyright (c) 2020-2026, NVIDIA CORPORATION.
+# SPDX-FileCopyrightText: Copyright (c) 2020-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 
 import warnings
@@ -60,7 +60,7 @@
 
         >>> df = cudf.DataFrame({'x': [1,2,3,4,5,6], 'y':[7,6,5,4,3,2]})
         >>> df.point.bounding_box
-        (1, 2, 6, 7)
+        (np.int64(1), np.int64(2), np.int64(6), np.int64(7))
 
 """
 
@@ -79,11 +79,11 @@
 
         >>> gs = cudf.Index(list(range(0, 50)))
         >>> gs.odd[1]
-        1
+        np.int64(1)
         >>> gs.odd[2]
-        3
+        np.int64(3)
         >>> gs.odd[3]
-        5
+        np.int64(5)
 
 """
 
@@ -102,11 +102,11 @@
 
         >>> gs = cudf.Series(list(range(0, 50)))
         >>> gs.odd[1]
-        1
+        np.int64(1)
         >>> gs.odd[2]
-        3
+        np.int64(3)
         >>> gs.odd[3]
-        5
+        np.int64(5)
 
 """
 

python/cudf/cudf/core/frame.py

@@ -1945,7 +1945,7 @@ def min(
         b    7
         dtype: int64
         >>> min_series.min()
-        1
+        np.int64(1)
 
         .. pandas-compat::
             :meth:`pandas.DataFrame.min`, :meth:`pandas.Series.min`

python/cudf/cudf/core/indexed_frame.py

@@ -1223,7 +1223,7 @@ def dot(self, other, reflect=False):
         1    26
         dtype: int64
         >>> [1, 2, 3, 4] @ s
-        10
+        np.int64(10)
         """
         # TODO: This function does not currently support nulls.
         lhs = self.values
@@ -1644,7 +1644,7 @@ def median(
         5     6
         dtype: int64
         >>> ser.median()
-        17.0
+        np.float64(17.0)
         """
         if "overwrite_input" in kwargs:
             raise ValueError(
@@ -1800,7 +1800,7 @@ def kurtosis(
         >>> import cudf
         >>> series = cudf.Series([1, 2, 3, 4])
         >>> series.kurtosis()
-        -1.200000000000001
+        np.float64(-1.200000000000001)
 
         **DataFrame**
 
@@ -2583,7 +2583,7 @@ def squeeze(self, axis: Literal["index", "columns", 0, 1, None] = None):
         dtype: int64
 
         >>> even_primes.squeeze()
-        2
+        np.int64(2)
 
         Squeezing objects with more than one value in every axis does nothing:
 
@@ -2641,7 +2641,7 @@ def squeeze(self, axis: Literal["index", "columns", 0, 1, None] = None):
         Squeezing all axes will project directly into a scalar:
 
         >>> df_0a.squeeze()
-        1
+        np.int64(1)
         """
         axes = (
             range(self.ndim)

python/cudf/cudf/core/series.py

@@ -2886,7 +2886,7 @@ def cov(self, other, min_periods=None, ddof: int | None = None):
         >>> ser1 = cudf.Series([0.9, 0.13, 0.62])
         >>> ser2 = cudf.Series([0.12, 0.26, 0.51])
         >>> ser1.cov(ser2)
-        -0.015750000000000004
+        np.float64(-0.015750000000000004)
 
         .. pandas-compat::
             :meth:`pandas.Series.cov`
@@ -3021,9 +3021,9 @@ def corr(self, other, method="pearson", min_periods=None):
         >>> ser1 = cudf.Series([0.9, 0.13, 0.62])
         >>> ser2 = cudf.Series([0.12, 0.26, 0.51])
         >>> ser1.corr(ser2, method="pearson")
-        -0.20454263717316126
+        np.float64(-0.20454263717316126)
         >>> ser1.corr(ser2, method="spearman")
-        -0.5
+        np.float64(-0.5)
         """
 
         if method not in {"pearson", "spearman"}:
@@ -3069,9 +3069,9 @@ def autocorr(self, lag=1):
         >>> import cudf
         >>> s = cudf.Series([0.25, 0.5, 0.2, -0.05, 0.17])
         >>> s.autocorr()
-        0.1438853844...
+        np.float64(0.1438853844...)
         >>> s.autocorr(lag=2)
-        -0.9647548490...
+        np.float64(-0.9647548490...)
         """
         return self.corr(self.shift(lag))
 
@@ -3417,7 +3417,7 @@ def quantile(
         3    4
         dtype: int64
         >>> series.quantile(0.5)
-        2.5
+        np.float64(2.5)
         >>> series.quantile([0.25, 0.5, 0.75])
         0.25    1.75
         0.50    2.50

python/cudf/cudf/pandas/_wrappers/numpy.py

@@ -6,7 +6,7 @@
 import cupy
 import cupy._core.flags
 import numpy
-from packaging import version
+from numpy._core.multiarray import flagsobj as _numpy_flagsobj
 
 from cudf.options import _env_get_bool
 
@@ -324,12 +324,6 @@ def _ndarray_fsproxy_fast_to_slow(self):
     },
 )
 
-if version.parse(numpy.__version__) >= version.parse("2.0"):
-    # NumPy 2 introduced `_core` and gives warnings for access to `core`.
-    from numpy._core.multiarray import flagsobj as _numpy_flagsobj
-else:
-    from numpy.core.multiarray import flagsobj as _numpy_flagsobj
-
 # Mapping flags between slow and fast types
 _ndarray_flags = make_intermediate_proxy_type(
     "_ndarray_flags",

python/cudf/cudf/tests/indexes/test_interval.py

@@ -1,10 +1,9 @@
-# SPDX-FileCopyrightText: Copyright (c) 2023-2026, NVIDIA CORPORATION.
+# SPDX-FileCopyrightText: Copyright (c) 2023-2026, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 import numpy as np
 import pandas as pd
 import pyarrow as pa
 import pytest
-from packaging.version import parse
 
 import cudf
 from cudf.core.index import IntervalIndex, interval_range
@@ -121,14 +120,6 @@ def test_interval_range_periods_basic_dtype(start_t, end_t, periods_t):
     gindex = cudf.interval_range(
         start=start, end=end, periods=periods, closed="left"
     )
-    if (
-        parse(np.__version__) < parse("2")
-        and pindex.dtype.subtype != gindex.dtype.subtype
-    ):
-        # NEP 50 in numpy 2 changes pandas' subtype result to match cudf
-        pindex = pindex.astype(
-            pd.IntervalDtype(gindex.dtype.subtype, pindex.dtype.closed)
-        )
 
     assert_eq(pindex, gindex)
 
@@ -172,16 +163,6 @@ def test_interval_range_periods_freq_end_dtype(periods_t, freq_t, end_t):
     gindex = cudf.interval_range(
         end=end, freq=freq, periods=periods, closed="left"
     )
-    if (
-        parse(np.__version__) < parse("2")
-        and pindex.dtype.subtype != gindex.dtype.subtype
-    ):
-        # NEP 50 in numpy 2 changes pandas' subtype result to match cudf
-        pindex = pindex.astype(
-            pd.IntervalDtype(
-                subtype=gindex.dtype.subtype, closed=pindex.dtype.closed
-            )
-        )
     assert_eq(pindex, gindex)
 
 
@@ -211,16 +192,6 @@ def test_interval_range_periods_freq_start_dtype(periods_t, freq_t, start_t):
     gindex = cudf.interval_range(
         start=start, freq=freq, periods=periods, closed="left"
     )
-    if (
-        parse(np.__version__) < parse("2")
-        and pindex.dtype.subtype != gindex.dtype.subtype
-    ):
-        # NEP 50 in numpy 2 changes pandas' subtype result to match cudf
-        pindex = pindex.astype(
-            pd.IntervalDtype(
-                subtype=gindex.dtype.subtype, closed=pindex.dtype.closed
-            )
-        )
     assert_eq(pindex, gindex)