[BUG]: ZipCodes_Stops_PiP_cuSpatial failing: "geo_columns.index must equal data_columns.index"

Version

24.10

On which installation method(s) does this occur?

Conda

Describe the issue

The ZipCodes_Stops_PiP_cuSpatial notebook is failing on 24.10, with the most recent nightlies of cuspatial and all its dependencies for those versions.

Condensed stacktrace:

ValueError                                Traceback (most recent call last)
File /tmp/tmp.wVCpnDUG6u/ZipCodes_Stops_PiP_cuSpatial-test.py:336
    330 stop_by_zipcode = stop_quadtree.point_left_join_polygon(["x", "y"], ["ZCTA5CE10"])
    333 # In[13]:
--> 336 stop_by_zipcode.head()
...
File cudf/utils/performance_tracking.py:51, in _performance_tracking.<locals>.wrapper(*args, **kwargs)
File cudf/core/indexed_frame.py:1255, in IndexedFrame.head(self, n)
File cudf/core/dataframe.py:503, in _DataFrameIlocIndexer.__getitem__(self, arg)
File cuspatial/core/geodataframe.py:195, in GeoDataFrame._slice(self, arg)
File cuspatial/core/geodataframe.py:172, in GeoDataFrame._recombine_columns(self, geo_columns, data_columns)
ValueError: geo_columns.index must equal data_columns.index

full stacktrace (click me)

```text --------------------------------------------------------------------------- ValueError Traceback (most recent call last) File /tmp/tmp.wVCpnDUG6u/ZipCodes_Stops_PiP_cuSpatial-test.py:336 330 stop_by_zipcode = stop_quadtree.point_left_join_polygon(["x", "y"], ["ZCTA5CE10"]) 333 # In[13]: --> 336 stop_by_zipcode.head() 339 # ## Zipcode counting with cuDF 340 # 341 # The below uses [cuDF](https://docs.rapids.ai/api/cudf/stable/index.html) to count the number of stop signs per zip code. Then merge the geometry information from the zipcode dataset. (...) 345 346 # Count the Stop Signs by California Zip Codes 347 stop_counts = stop_by_zipcode.groupby("ZCTA5CE10").x.count().rename("stop_count") File /opt/conda/envs/test/lib/python3.11/site-packages/cudf/utils/performance_tracking.py:51, in _performance_tracking..wrapper(*args, **kwargs) 43 if nvtx.enabled(): 44 stack.enter_context( 45 nvtx.annotate( 46 message=func.__qualname__, (...) 49 ) 50 ) ---> 51 return func(*args, **kwargs) File /opt/conda/envs/test/lib/python3.11/site-packages/cudf/core/indexed_frame.py:1255, in IndexedFrame.head(self, n) 1178 @_performance_tracking 1179 def head(self, n=5): 1180 """ 1181 Return the first `n` rows. 1182 This function returns the first `n` rows for the object based (...) 1253 1 1 11.0 1254 """ -> 1255 return self.iloc[:n] File /opt/conda/envs/test/lib/python3.11/site-packages/cudf/core/dataframe.py:503, in _DataFrameIlocIndexer.__getitem__(self, arg) 501 return frame._apply_boolean_mask(row_spec.key, keep_index=True) 502 elif isinstance(row_spec, indexing_utils.SliceIndexer): --> 503 return frame._slice(row_spec.key) 504 elif isinstance(row_spec, indexing_utils.ScalarIndexer): 505 result = frame._gather(row_spec.key, keep_index=True) File /opt/conda/envs/test/lib/python3.11/site-packages/cuspatial/core/geodataframe.py:195, in GeoDataFrame._slice(self, arg) 190 sliced_geo_columns = GeoDataFrame( 191 {name: geo_columns[name].iloc[arg] for name in geo_columns.columns} 192 ) 193 sliced_data_columns = data_columns._slice(arg) 194 return self._from_data( --> 195 self._recombine_columns(sliced_geo_columns, sliced_data_columns), 196 index=sliced_data_columns.index, 197 ) File /opt/conda/envs/test/lib/python3.11/site-packages/cuspatial/core/geodataframe.py:172, in GeoDataFrame._recombine_columns(self, geo_columns, data_columns) 165 """ 166 Combine a GeoDataFrame of only geometry columns with a DataFrame 167 of non-geometry columns in the same order as the columns in `self` 168 169 The output is meant for GeoDataFrame._from_data. 170 """ 171 if not geo_columns.index.equals(data_columns.index): --> 172 raise ValueError("geo_columns.index must equal data_columns.index") 174 columns_mask = self.columns 175 col_is_geo = (isinstance(self[col], GeoSeries) for col in columns_mask) ValueError: geo_columns.index must equal data_columns.index --------------------------------------------------------------- ```

Minimum reproducible example

Observing this in the conda-notebook-tests job on all PRs targeting 24.10.

1424: (build link)
1430: (build link)

Relevant log output

No response

Environment details

output from 'print_env.sh' (click me)

```text AWS_ACCESS_KEY_ID=*** AWS_DEFAULT_REGION=us-east-2 AWS_REGION=us-east-2 AWS_SECRET_ACCESS_KEY=*** AWS_SESSION_TOKEN=*** CI=true CONDA_DEFAULT_ENV=test CONDA_EXE=/opt/conda/bin/conda CONDA_PREFIX=/opt/conda/envs/test CONDA_PROMPT_MODIFIER=(test) CONDA_PYTHON_EXE=/opt/conda/bin/python CONDA_SHLVL=1 CPL_ZIP_ENCODING=UTF-8 CUDA_VERSION=12.2.2 GDAL_DATA=/opt/conda/envs/test/share/gdal GDAL_DRIVER_PATH=/opt/conda/envs/test/lib/gdalplugins GH_TOKEN=*** GITHUB_ACTION=__run_3 GITHUB_ACTIONS=true GITHUB_ACTION_REF= GITHUB_ACTION_REPOSITORY= GITHUB_ACTOR=copy-pr-bot[bot] GITHUB_ACTOR_ID=138252374 GITHUB_API_URL=https://api.github.com GITHUB_BASE_REF= GITHUB_ENV=/__w/_temp/_runner_file_commands/set_env_cba6e0db-91ea-4d55-a05b-135fb3ef4631 GITHUB_EVENT_NAME=push GITHUB_EVENT_PATH=/github/workflow/event.json GITHUB_GRAPHQL_URL=https://api.github.com/graphql GITHUB_HEAD_REF= GITHUB_JOB=build GITHUB_OUTPUT=/__w/_temp/_runner_file_commands/set_output_cba6e0db-91ea-4d55-a05b-135fb3ef4631 GITHUB_PATH=/__w/_temp/_runner_file_commands/add_path_cba6e0db-91ea-4d55-a05b-135fb3ef4631 GITHUB_REF=refs/heads/pull-request/1430 GITHUB_REF_NAME=pull-request/1430 GITHUB_REF_PROTECTED=false GITHUB_REF_TYPE=branch GITHUB_REPOSITORY=rapidsai/cuspatial GITHUB_REPOSITORY_ID=199666905 GITHUB_REPOSITORY_OWNER=rapidsai GITHUB_REPOSITORY_OWNER_ID=43887749 GITHUB_RETENTION_DAYS=90 GITHUB_RUN_ATTEMPT=1 GITHUB_RUN_ID=10321935884 GITHUB_RUN_NUMBER=1992 GITHUB_SERVER_URL=https://github.com GITHUB_SHA=9d7b73823e1e4588c60b02878778fe9bfbd02120 GITHUB_STATE=/__w/_temp/_runner_file_commands/save_state_cba6e0db-91ea-4d55-a05b-135fb3ef4631 GITHUB_STEP_SUMMARY=/__w/_temp/_runner_file_commands/step_summary_cba6e0db-91ea-4d55-a05b-135fb3ef4631 GITHUB_TRIGGERING_ACTOR=copy-pr-bot[bot] GITHUB_WORKFLOW=pr GITHUB_WORKFLOW_REF=rapidsai/cuspatial/.github/workflows/pr.yaml@refs/heads/pull-request/1430 GITHUB_WORKFLOW_SHA=9d7b73823e1e4588c60b02878778fe9bfbd02120 GITHUB_WORKSPACE=/__w/cuspatial/cuspatial GSETTINGS_SCHEMA_DIR=/opt/conda/envs/test/share/glib-2.0/schemas GSETTINGS_SCHEMA_DIR_CONDA_BACKUP= HOME=/github/home HOSTNAME=e069a8f1cf3a LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVARCH=x86_64 NVIDIA_DRIVER_CAPABILITIES=compute,utility NVIDIA_REQUIRE_CUDA=cuda>=12.2 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 brand=tesla,driver>=525,driver<526 brand=unknown,driver>=525,driver<526 brand=nvidia,driver>=525,driver<526 brand=nvidiartx,driver>=525,driver<526 brand=geforce,driver>=525,driver<526 brand=geforcertx,driver>=525,driver<526 brand=quadro,driver>=525,driver<526 brand=quadrortx,driver>=525,driver<526 brand=titan,driver>=525,driver<526 brand=titanrtx,driver>=525,driver<526 NVIDIA_VISIBLE_DEVICES=GPU-f243c8e5-7f90-bbe2-319d-25231849054e NV_CUDA_COMPAT_PACKAGE=cuda-compat-12-2 NV_CUDA_CUDART_VERSION=12.2.140-1 PATH=/opt/conda/envs/test/bin:/opt/conda/condabin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin PROJ_DATA=/opt/conda/envs/test/share/proj PROJ_NETWORK=ON *** PYTHON_VERSION=3.11 RAPIDS_BASE_BRANCH=branch-24.10 RAPIDS_BUILD_TYPE=pull-request RAPIDS_CONDA_BLD_OUTPUT_DIR=/tmp/conda-bld-output RAPIDS_CONDA_BLD_ROOT_DIR=/tmp/conda-bld-workspace RAPIDS_CUDA_VERSION=12.2.2 RAPIDS_NIGHTLY_DATE= RAPIDS_PY_VERSION=3.11 RAPIDS_REF_NAME=pull-request/1430 RAPIDS_REPOSITORY=rapidsai/cuspatial RAPIDS_SHA=9d7b73823e1e4588c60b02878778fe9bfbd02120 RUNNER_ARCH=X64 RUNNER_ENVIRONMENT=self-hosted RUNNER_NAME=linux-amd64-gpu-v100-latest-1-56xmt-runner-wqwws RUNNER_OS=Linux RUNNER_TEMP=/__w/_temp RUNNER_TOOL_CACHE=/__w/_tool RUNNER_WORKSPACE=/__w/cuspatial SHLVL=2 XML_CATALOG_FILES=file:///opt/conda/envs/test/etc/xml/catalog file:///etc/xml/catalog _=/usr/bin/env _CE_CONDA= _CE_M= RAPIDS logger » [08/09/24 16:11:47] ┌──────────────────┐ | Print arch | └──────────────────┘ x86_64 RAPIDS logger » [08/09/24 16:11:47] ┌────────────────────────────┐ | Check python version | └────────────────────────────┘ Python 3.11.9 RAPIDS logger » [08/09/24 16:11:47] ┌───────────────────────────────┐ | Check conda environment | └───────────────────────────────┘ active environment : test active env location : /opt/conda/envs/test shell level : 1 user config file : /github/home/.condarc populated config files : /opt/conda/.condarc conda version : 24.7.1 conda-build version : 24.5.1 python version : 3.11.9.final.0 solver : libmamba (default) virtual packages : __archspec=1=broadwell __conda=24.7.1=0 __cuda=12.4=0 __glibc=2.35=0 __linux=5.4.0=0 __unix=0=0 base environment : /opt/conda (writable) conda av data dir : /opt/conda/etc/conda conda av metadata url : None channel URLs : https://conda.anaconda.org/rapidsai/linux-64 https://conda.anaconda.org/rapidsai/noarch https://conda.anaconda.org/rapidsai-nightly/linux-64 https://conda.anaconda.org/rapidsai-nightly/noarch https://conda.anaconda.org/dask/label/dev/linux-64 https://conda.anaconda.org/dask/label/dev/noarch https://conda.anaconda.org/pytorch/linux-64 https://conda.anaconda.org/pytorch/noarch https://conda.anaconda.org/conda-forge/linux-64 https://conda.anaconda.org/conda-forge/noarch https://conda.anaconda.org/nvidia/linux-64 https://conda.anaconda.org/nvidia/noarch package cache : /opt/conda/pkgs /github/home/.conda/pkgs envs directories : /opt/conda/envs /github/home/.conda/envs platform : linux-64 user-agent : conda/24.7.1 requests/2.32.3 CPython/3.11.9 Linux/5.4.0-189-generic ubuntu/22.04.4 glibc/2.35 solver/libmamba conda-libmamba-solver/24.7.0 libmambapy/1.5.8 UID:GID : 0:0 netrc file : None offline mode : False ==> /opt/conda/.condarc <== auto_update_conda: False channels: - rapidsai - rapidsai-nightly - dask/label/dev - pytorch - conda-forge - nvidia always_yes: True number_channel_notices: 0 conda-build: set_build_id: False root_dir: /tmp/conda-bld-workspace output_folder: /tmp/conda-bld-output ==> envvars <== allow_softlinks: False # packages in environment at /opt/conda/envs/test: # # Name Version Build Channel _libgcc_mutex 0.1 conda_forge conda-forge _openmp_mutex 4.5 2_gnu conda-forge affine 2.4.0 pyhd8ed1ab_0 conda-forge anyio 4.4.0 pyhd8ed1ab_0 conda-forge argon2-cffi 23.1.0 pyhd8ed1ab_0 conda-forge argon2-cffi-bindings 21.2.0 py311h459d7ec_4 conda-forge arrow 1.3.0 pyhd8ed1ab_0 conda-forge asttokens 2.4.1 pyhd8ed1ab_0 conda-forge async-lru 2.0.4 pyhd8ed1ab_0 conda-forge attrs 24.2.0 pyh71513ae_0 conda-forge aws-c-auth 0.7.25 hdfe1943_2 conda-forge aws-c-cal 0.7.2 h87b94db_0 conda-forge aws-c-common 0.9.23 h4ab18f5_0 conda-forge aws-c-compression 0.2.18 he027950_7 conda-forge aws-c-event-stream 0.4.2 h29f85be_19 conda-forge aws-c-http 0.8.7 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conda-forge pytz 2024.1 pyhd8ed1ab_0 conda-forge pywavelets 1.6.0 py311h18e1886_0 conda-forge pyyaml 6.0.2 py311h61187de_0 conda-forge pyzmq 26.1.0 py311h759c1eb_0 conda-forge raft-dask 24.10.00a23 cuda12_py311_240809_g32f3703b_23 rapidsai-nightly rapids-dask-dependency 24.10.00a3 py_0 rapidsai-nightly rasterio 1.3.9 py311h40fbdff_0 conda-forge rdma-core 53.0 he02047a_0 conda-forge re2 2023.09.01 h7f4b329_2 conda-forge readline 8.2 h8228510_1 conda-forge referencing 0.35.1 pyhd8ed1ab_0 conda-forge requests 2.32.3 pyhd8ed1ab_0 conda-forge rfc3339-validator 0.1.4 pyhd8ed1ab_0 conda-forge rfc3986-validator 0.1.1 pyh9f0ad1d_0 conda-forge rich 13.7.1 pyhd8ed1ab_0 conda-forge rmm 24.10.00a22 cuda12_py311_240809_g975c911a_22 rapidsai-nightly rpds-py 0.20.0 py311hb3a8bbb_0 conda-forge rtree 1.3.0 py311h51bcefd_1 conda-forge s2n 1.4.19 h3400bea_0 conda-forge scikit-image 0.20.0 py311h2872171_1 conda-forge scikit-learn 1.5.1 py311hd632256_0 conda-forge scipy 1.13.1 py311h517d4fd_0 conda-forge 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pyhd8ed1ab_0 conda-forge typing-extensions 4.12.2 hd8ed1ab_0 conda-forge typing_extensions 4.12.2 pyha770c72_0 conda-forge typing_utils 0.1.0 pyhd8ed1ab_0 conda-forge tzcode 2024a h3f72095_0 conda-forge tzdata 2024a h0c530f3_0 conda-forge ucx 1.17.0 h0399452_2 conda-forge ucx-py 0.40.00a6 py311_240809_gd1fe2e7_6 rapidsai-nightly ucxx 0.40.00a cuda12_py3.11_240809_g021ab84_17 rapidsai-nightly uri-template 1.3.0 pyhd8ed1ab_0 conda-forge uriparser 0.9.8 hac33072_0 conda-forge urllib3 2.2.2 pyhd8ed1ab_1 conda-forge wcwidth 0.2.13 pyhd8ed1ab_0 conda-forge webcolors 24.6.0 pyhd8ed1ab_0 conda-forge webencodings 0.5.1 pyhd8ed1ab_2 conda-forge websocket-client 1.8.0 pyhd8ed1ab_0 conda-forge wheel 0.44.0 pyhd8ed1ab_0 conda-forge widgetsnbextension 4.0.11 pyhd8ed1ab_0 conda-forge xerces-c 3.2.5 hac6953d_0 conda-forge xorg-kbproto 1.0.7 h7f98852_1002 conda-forge xorg-libice 1.1.1 hd590300_0 conda-forge xorg-libsm 1.2.4 h7391055_0 conda-forge xorg-libx11 1.8.9 h8ee46fc_0 conda-forge xorg-libxau 1.0.11 hd590300_0 conda-forge xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge xorg-libxext 1.3.4 h0b41bf4_2 conda-forge xorg-libxrender 0.9.11 hd590300_0 conda-forge xorg-renderproto 0.11.1 h7f98852_1002 conda-forge xorg-xextproto 7.3.0 h0b41bf4_1003 conda-forge xorg-xproto 7.0.31 h7f98852_1007 conda-forge xyzservices 2024.6.0 pyhd8ed1ab_0 conda-forge xz 5.2.6 h166bdaf_0 conda-forge yaml 0.2.5 h7f98852_2 conda-forge zeromq 4.3.5 h75354e8_4 conda-forge zict 3.0.0 pyhd8ed1ab_0 conda-forge zipp 3.19.2 pyhd8ed1ab_0 conda-forge zlib 1.3.1 h4ab18f5_1 conda-forge zstandard 0.23.0 py311h5cd10c7_0 conda-forge zstd 1.5.6 ha6fb4c9_0 conda-forge /__w/cuspatial/cuspatial/notebooks /__w/cuspatial/cuspatial Fri Aug 9 16:11:53 2024 +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 550.54.15 Driver Version: 550.54.15 CUDA Version: 12.4 | |-----------------------------------------+------------------------+----------------------+ | GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |=========================================+========================+======================| | 0 Tesla V100-PCIE-32GB Off | 00000000:05:00.0 Off | 0 | | N/A 27C P0 23W / 250W | 3MiB / 32768MiB | 0% Default | | | | N/A | +-----------------------------------------+------------------------+----------------------+ +-----------------------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=========================================================================================| | No running processes found | +-----------------------------------------------------------------------------------------+ ```

Other/Misc.

I'm working on creating a minimal, reproducible example that's a bit more precise than CI logs. But wanted to get this opened as soon as possible.

rapidsai / cuspatial