Error when reading geoparquet file
osjahputera opened this issue · 3 comments
I am using a small geoparquet file below (33 MB ~ building footprints in Singapore (SGP)), but the intention is to process larger geoparquet files covering much larger countries.
I am getting this error when reading the SGP.parquet file using the following code:
import dask.dataframe
import dask
import dask_geopandas
import geopandas
ddf = dask_geopandas.read_parquet(path='SGP.parquet')
Error messages:
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
File ~\anaconda3\envs\geo_env\Lib\site-packages\dask\backends.py:141, in CreationDispatch.register_inplace.<locals>.decorator.<locals>.wrapper(*args, **kwargs)
140 try:
--> 141 return func(*args, **kwargs)
142 except Exception as e:
File ~\anaconda3\envs\geo_env\Lib\site-packages\dask\dataframe\io\parquet\core.py:529, in read_parquet(path, columns, filters, categories, index, storage_options, engine, use_nullable_dtypes, dtype_backend, calculate_divisions, ignore_metadata_file, metadata_task_size, split_row_groups, blocksize, aggregate_files, parquet_file_extension, filesystem, **kwargs)
527 blocksize = None
--> 529 read_metadata_result = engine.read_metadata(
530 fs,
531 paths,
532 categories=categories,
533 index=index,
534 use_nullable_dtypes=use_nullable_dtypes,
535 dtype_backend=dtype_backend,
536 gather_statistics=calculate_divisions,
537 filters=filters,
538 split_row_groups=split_row_groups,
539 blocksize=blocksize,
540 aggregate_files=aggregate_files,
541 ignore_metadata_file=ignore_metadata_file,
542 metadata_task_size=metadata_task_size,
543 parquet_file_extension=parquet_file_extension,
544 dataset=dataset_options,
545 read=read_options,
546 **other_options,
547 )
549 # In the future, we may want to give the engine the
550 # option to return a dedicated element for `common_kwargs`.
551 # However, to avoid breaking the API, we just embed this
552 # data in the first element of `parts` for now.
553 # The logic below is inteded to handle backward and forward
554 # compatibility with a user-defined engine.
File ~\anaconda3\envs\geo_env\Lib\site-packages\dask_geopandas\io\parquet.py:57, in GeoArrowEngine.read_metadata(cls, fs, paths, **kwargs)
55 @classmethod
56 def read_metadata(cls, fs, paths, **kwargs):
---> 57 meta, stats, parts, index = super().read_metadata(fs, paths, **kwargs)
59 gather_spatial_partitions = kwargs.pop("gather_spatial_partitions", True)
File ~\anaconda3\envs\geo_env\Lib\site-packages\dask\dataframe\io\parquet\arrow.py:562, in ArrowDatasetEngine.read_metadata(cls, fs, paths, categories, index, use_nullable_dtypes, dtype_backend, gather_statistics, filters, split_row_groups, blocksize, aggregate_files, ignore_metadata_file, metadata_task_size, parquet_file_extension, **kwargs)
561 # Stage 2: Generate output `meta`
--> 562 meta = cls._create_dd_meta(dataset_info)
564 # Stage 3: Generate parts and stats
File ~\anaconda3\envs\geo_env\Lib\site-packages\dask_geopandas\io\parquet.py:103, in GeoArrowEngine._create_dd_meta(cls, dataset_info, use_nullable_dtypes)
99 raise ValueError(
100 "No dataset parts discovered. Use dask.dataframe.read_parquet "
101 "to read it as an empty DataFrame"
102 )
--> 103 meta = cls._update_meta(meta, schema)
104 return meta
File ~\anaconda3\envs\geo_env\Lib\site-packages\dask_geopandas\io\parquet.py:77, in GeoArrowEngine._update_meta(cls, meta, schema)
74 """
75 Convert meta to a GeoDataFrame and update with potential GEO metadata
76 """
---> 77 return _update_meta_to_geodataframe(meta, schema.metadata)
File ~\anaconda3\envs\geo_env\Lib\site-packages\dask_geopandas\io\arrow.py:36, in _update_meta_to_geodataframe(meta, schema_metadata)
35 geometry_column_name = geo_meta["primary_column"]
---> 36 crs = geo_meta["columns"][geometry_column_name]["crs"]
37 geometry_columns = geo_meta["columns"]
KeyError: 'crs'
The above exception was the direct cause of the following exception:
KeyError Traceback (most recent call last)
Cell In[3], line 1
----> 1 ddf = dask_geopandas.read_parquet(path='SGP.parquet')
File ~\anaconda3\envs\geo_env\Lib\site-packages\dask_geopandas\io\parquet.py:112, in read_parquet(*args, **kwargs)
111 def read_parquet(*args, **kwargs):
--> 112 result = dd.read_parquet(*args, engine=GeoArrowEngine, **kwargs)
113 # check if spatial partitioning information was stored
114 spatial_partitions = result._meta.attrs.get("spatial_partitions", None)
File ~\anaconda3\envs\geo_env\Lib\site-packages\dask\backends.py:143, in CreationDispatch.register_inplace.<locals>.decorator.<locals>.wrapper(*args, **kwargs)
141 return func(*args, **kwargs)
142 except Exception as e:
--> 143 raise type(e)(
144 f"An error occurred while calling the {funcname(func)} "
145 f"method registered to the {self.backend} backend.\n"
146 f"Original Message: {e}"
147 ) from e
KeyError: "An error occurred while calling the read_parquet method registered to the pandas backend.\nOriginal Message: 'crs'"
The original error message contains the string crs. Is there a problem in getting the coordinate reference system when reading geoparquet file from dask_geopandas?
The same SGP.parquet file can be read correctly using geopandas as follows:
df = geopandas.read_parquet('SGP.parquet')
df.head()
geometry boundary_id bf_source confidence area_in_meters
0 POLYGON ((103.86632 1.28342, 103.86632 1.28350... 189 microsoft NaN 56.803640
1 POLYGON ((103.72272 1.21202, 103.72289 1.21201... 189 microsoft NaN 173.367030
2 POLYGON ((103.72989 1.44070, 103.72988 1.44075... 189 microsoft NaN 46.541618
3 POLYGON ((103.72365 1.28917, 103.72363 1.28925... 189 microsoft NaN 40.895931
4 POLYGON ((103.90972 1.40250, 103.90968 1.40252... 189 microsoft NaN 65.486328
The conda environment is built as follows:
conda create -n geo_env python==3.11.5
conda activate geo_env
conda install -c conda-forge pyarrow pygeos dask[complete] dask-geopandas contextily pyogrio notebook nb_conda_kernels
I initially built the conda env following the instruction provided in the README.md
conda create -n geo_env
conda activate geo_env
conda config --env --add channels conda-forge
conda config --env --set channel_priority strict
conda install dask-geopandas
However, this does not include pyarrow.parquet, thus the function geopandas.read_parquet() is not available.
The list of installed conda packages and versions.
Name Version Build Channel
affine 2.4.0 pyhd8ed1ab_0 conda-forge
anyio 4.3.0 pyhd8ed1ab_0 conda-forge
argon2-cffi 23.1.0 pyhd8ed1ab_0 conda-forge
argon2-cffi-bindings 21.2.0 py311ha68e1ae_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 23.2.0 pyh71513ae_0 conda-forge
aws-c-auth 0.7.16 h0a3593b_5 conda-forge
aws-c-cal 0.6.10 hd481e46_1 conda-forge
aws-c-common 0.9.13 hcfcfb64_0 conda-forge
aws-c-compression 0.2.18 hd481e46_1 conda-forge
aws-c-event-stream 0.4.2 h9555df4_3 conda-forge
aws-c-http 0.8.1 h0b45682_4 conda-forge
aws-c-io 0.14.4 h08270f9_2 conda-forge
aws-c-mqtt 0.10.2 hababdb7_3 conda-forge
aws-c-s3 0.5.1 h228a0d0_6 conda-forge
aws-c-sdkutils 0.1.15 hd481e46_1 conda-forge
aws-checksums 0.1.18 hd481e46_1 conda-forge
aws-crt-cpp 0.26.2 hb1302ff_5 conda-forge
aws-sdk-cpp 1.11.267 h93f5800_1 conda-forge
babel 2.14.0 pyhd8ed1ab_0 conda-forge
beautifulsoup4 4.12.3 pyha770c72_0 conda-forge
bleach 6.1.0 pyhd8ed1ab_0 conda-forge
blosc 1.21.5 hdccc3a2_0 conda-forge
bokeh 3.3.4 pyhd8ed1ab_0 conda-forge
boost-cpp 1.78.0 h9f4b32c_4 conda-forge
brotli 1.1.0 hcfcfb64_1 conda-forge
brotli-bin 1.1.0 hcfcfb64_1 conda-forge
brotli-python 1.1.0 py311h12c1d0e_1 conda-forge
bzip2 1.0.8 he774522_0
c-ares 1.26.0 hcfcfb64_0 conda-forge
ca-certificates 2024.2.2 h56e8100_0 conda-forge
cached-property 1.5.2 hd8ed1ab_1 conda-forge
cached_property 1.5.2 pyha770c72_1 conda-forge
cairo 1.16.0 hdecc03f_1016 conda-forge
certifi 2024.2.2 pyhd8ed1ab_0 conda-forge
cffi 1.16.0 py311ha68e1ae_0 conda-forge
cfitsio 4.2.0 h9ebe7e4_0 conda-forge
charset-normalizer 3.3.2 pyhd8ed1ab_0 conda-forge
click 8.1.7 win_pyh7428d3b_0 conda-forge
click-plugins 1.1.1 py_0 conda-forge
cligj 0.7.2 pyhd8ed1ab_1 conda-forge
cloudpickle 3.0.0 pyhd8ed1ab_0 conda-forge
colorama 0.4.6 pyhd8ed1ab_0 conda-forge
comm 0.2.1 pyhd8ed1ab_0 conda-forge
contextily 1.5.0 pyhd8ed1ab_0 conda-forge
contourpy 1.2.0 py311h005e61a_0 conda-forge
curl 8.5.0 hd5e4a3a_0 conda-forge
cycler 0.12.1 pyhd8ed1ab_0 conda-forge
cytoolz 0.12.3 py311ha68e1ae_0 conda-forge
dask 2024.2.0 pyhd8ed1ab_0 conda-forge
dask-core 2024.2.0 pyhd8ed1ab_0 conda-forge
dask-geopandas 0.3.1 pyhd8ed1ab_1 conda-forge
debugpy 1.8.1 py311h12c1d0e_0 conda-forge
decorator 5.1.1 pyhd8ed1ab_0 conda-forge
defusedxml 0.7.1 pyhd8ed1ab_0 conda-forge
distributed 2024.2.0 pyhd8ed1ab_0 conda-forge
entrypoints 0.4 pyhd8ed1ab_0 conda-forge
exceptiongroup 1.2.0 pyhd8ed1ab_2 conda-forge
executing 2.0.1 pyhd8ed1ab_0 conda-forge
expat 2.5.0 h63175ca_1 conda-forge
font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge
font-ttf-inconsolata 3.000 h77eed37_0 conda-forge
font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge
font-ttf-ubuntu 0.83 h77eed37_1 conda-forge
fontconfig 2.14.2 hbde0cde_0 conda-forge
fonts-conda-ecosystem 1 0 conda-forge
fonts-conda-forge 1 0 conda-forge
fonttools 4.49.0 py311ha68e1ae_0 conda-forge
fqdn 1.5.1 pyhd8ed1ab_0 conda-forge
freetype 2.12.1 hdaf720e_2 conda-forge
freexl 1.0.6 h67ca5e6_1 conda-forge
fsspec 2024.2.0 pyhca7485f_0 conda-forge
gdal 3.7.0 py311h68c9619_3 conda-forge
geographiclib 1.52 pyhd8ed1ab_0 conda-forge
geopandas-base 0.14.3 pyha770c72_0 conda-forge
geopy 2.4.1 pyhd8ed1ab_0 conda-forge
geos 3.11.2 h1537add_0 conda-forge
geotiff 1.7.1 h4e61e90_11 conda-forge
gettext 0.21.1 h5728263_0 conda-forge
h11 0.14.0 pyhd8ed1ab_0 conda-forge
h2 4.1.0 pyhd8ed1ab_0 conda-forge
hdf4 4.2.15 h1334946_6 conda-forge
hdf5 1.14.1 nompi_h73e8ff5_100 conda-forge
hpack 4.0.0 pyh9f0ad1d_0 conda-forge
httpcore 1.0.4 pyhd8ed1ab_0 conda-forge
httpx 0.27.0 pyhd8ed1ab_0 conda-forge
hyperframe 6.0.1 pyhd8ed1ab_0 conda-forge
icu 72.1 h63175ca_0 conda-forge
idna 3.6 pyhd8ed1ab_0 conda-forge
importlib-metadata 7.0.1 pyha770c72_0 conda-forge
importlib_metadata 7.0.1 hd8ed1ab_0 conda-forge
importlib_resources 6.1.1 pyhd8ed1ab_0 conda-forge
intel-openmp 2024.0.0 h57928b3_49841 conda-forge
ipykernel 6.29.2 pyha63f2e9_0 conda-forge
ipython 8.21.0 pyh7428d3b_0 conda-forge
isoduration 20.11.0 pyhd8ed1ab_0 conda-forge
jedi 0.19.1 pyhd8ed1ab_0 conda-forge
jinja2 3.1.3 pyhd8ed1ab_0 conda-forge
joblib 1.3.2 pyhd8ed1ab_0 conda-forge
json5 0.9.17 pyhd8ed1ab_0 conda-forge
jsonpointer 2.4 py311h1ea47a8_3 conda-forge
jsonschema 4.21.1 pyhd8ed1ab_0 conda-forge
jsonschema-specifications 2023.12.1 pyhd8ed1ab_0 conda-forge
jsonschema-with-format-nongpl 4.21.1 pyhd8ed1ab_0 conda-forge
jupyter-lsp 2.2.2 pyhd8ed1ab_0 conda-forge
jupyter_client 8.6.0 pyhd8ed1ab_0 conda-forge
jupyter_core 5.7.1 py311h1ea47a8_0 conda-forge
jupyter_events 0.9.0 pyhd8ed1ab_0 conda-forge
jupyter_server 2.12.5 pyhd8ed1ab_0 conda-forge
jupyter_server_terminals 0.5.2 pyhd8ed1ab_0 conda-forge
jupyterlab 4.1.2 pyhd8ed1ab_0 conda-forge
jupyterlab_pygments 0.3.0 pyhd8ed1ab_1 conda-forge
jupyterlab_server 2.25.3 pyhd8ed1ab_0 conda-forge
kealib 1.5.1 h96def13_4 conda-forge
kiwisolver 1.4.5 py311h005e61a_1 conda-forge
krb5 1.21.2 heb0366b_0 conda-forge
lcms2 2.15 h3e3b177_1 conda-forge
lerc 4.0.0 h63175ca_0 conda-forge
libabseil 20230802.1 cxx17_h63175ca_0 conda-forge
libaec 1.1.2 h63175ca_1 conda-forge
libarchive 3.6.2 h6f8411a_1 conda-forge
libarrow 15.0.0 h04ba218_5_cpu conda-forge
libarrow-acero 15.0.0 h63175ca_5_cpu conda-forge
libarrow-dataset 15.0.0 h63175ca_5_cpu conda-forge
libarrow-flight 15.0.0 he112ba8_5_cpu conda-forge
libarrow-flight-sql 15.0.0 h8f0bfdc_5_cpu conda-forge
libarrow-gandiva 15.0.0 h41a35cd_5_cpu conda-forge
libarrow-substrait 15.0.0 h7aa34db_5_cpu conda-forge
libblas 3.9.0 21_win64_mkl conda-forge
libbrotlicommon 1.1.0 hcfcfb64_1 conda-forge
libbrotlidec 1.1.0 hcfcfb64_1 conda-forge
libbrotlienc 1.1.0 hcfcfb64_1 conda-forge
libcblas 3.9.0 21_win64_mkl conda-forge
libcrc32c 1.1.2 h0e60522_0 conda-forge
libcurl 8.5.0 hd5e4a3a_0 conda-forge
libdeflate 1.18 hcfcfb64_0 conda-forge
libevent 2.1.12 h3671451_1 conda-forge
libexpat 2.5.0 h63175ca_1 conda-forge
libffi 3.4.4 hd77b12b_0
libgdal 3.7.0 h123a834_3 conda-forge
libglib 2.78.1 he8f3873_0 conda-forge
libgoogle-cloud 2.17.0 h7ece6b4_2 conda-forge
libgoogle-cloud-storage 2.17.0 hb581fae_2 conda-forge
libgrpc 1.60.1 h0bf0bfa_0 conda-forge
libhwloc 2.9.3 default_haede6df_1009 conda-forge
libiconv 1.17 hcfcfb64_2 conda-forge
libjpeg-turbo 2.1.5.1 hcfcfb64_1 conda-forge
libkml 1.3.0 hd45a9bc_1016 conda-forge
liblapack 3.9.0 21_win64_mkl conda-forge
libnetcdf 4.9.2 nompi_h5902ca5_107 conda-forge
libparquet 15.0.0 h7ec3a38_5_cpu conda-forge
libpng 1.6.42 h19919ed_0 conda-forge
libpq 15.6 h94c9ec1_0 conda-forge
libprotobuf 4.25.1 hb8276f3_2 conda-forge
libre2-11 2023.06.02 h8c5ae5e_0 conda-forge
librttopo 1.1.0 he1da8c1_13 conda-forge
libsodium 1.0.18 h8d14728_1 conda-forge
libspatialite 5.0.1 hf8d749d_27 conda-forge
libsqlite 3.45.1 hcfcfb64_0 conda-forge
libssh2 1.11.0 h7dfc565_0 conda-forge
libthrift 0.19.0 ha2b3283_1 conda-forge
libtiff 4.5.1 h6c8260b_1 conda-forge
libutf8proc 2.8.0 h82a8f57_0 conda-forge
libwebp-base 1.3.2 hcfcfb64_0 conda-forge
libxcb 1.15 hcd874cb_0 conda-forge
libxml2 2.12.5 hc3477c8_0 conda-forge
libzip 1.10.1 h1d365fa_3 conda-forge
libzlib 1.2.13 hcfcfb64_5 conda-forge
locket 1.0.0 pyhd8ed1ab_0 conda-forge
lz4 4.3.3 py311haddf500_0 conda-forge
lz4-c 1.9.4 hcfcfb64_0 conda-forge
lzo 2.10 he774522_1000 conda-forge
m2w64-gcc-libgfortran 5.3.0 6 conda-forge
m2w64-gcc-libs 5.3.0 7 conda-forge
m2w64-gcc-libs-core 5.3.0 7 conda-forge
m2w64-gmp 6.1.0 2 conda-forge
m2w64-libwinpthread-git 5.0.0.4634.697f757 2 conda-forge
markupsafe 2.1.5 py311ha68e1ae_0 conda-forge
matplotlib-base 3.8.3 py311h6e989c2_0 conda-forge
matplotlib-inline 0.1.6 pyhd8ed1ab_0 conda-forge
mercantile 1.2.1 pyhd8ed1ab_0 conda-forge
mistune 3.0.2 pyhd8ed1ab_0 conda-forge
mkl 2024.0.0 h66d3029_49657 conda-forge
msgpack-python 1.0.7 py311h005e61a_0 conda-forge
msys2-conda-epoch 20160418 1 conda-forge
munkres 1.1.4 pyh9f0ad1d_0 conda-forge
nb_conda_kernels 2.3.1 pyh7428d3b_4 conda-forge
nbclient 0.8.0 pyhd8ed1ab_0 conda-forge
nbconvert-core 7.16.1 pyhd8ed1ab_0 conda-forge
nbformat 5.9.2 pyhd8ed1ab_0 conda-forge
nest-asyncio 1.6.0 pyhd8ed1ab_0 conda-forge
notebook 7.1.0 pyhd8ed1ab_0 conda-forge
notebook-shim 0.2.4 pyhd8ed1ab_0 conda-forge
numpy 1.26.4 py311h0b4df5a_0 conda-forge
openjpeg 2.5.0 ha2aaf27_2 conda-forge
openssl 3.2.1 hcfcfb64_0 conda-forge
orc 1.9.2 hf6f83f4_1 conda-forge
overrides 7.7.0 pyhd8ed1ab_0 conda-forge
packaging 23.2 pyhd8ed1ab_0 conda-forge
pandas 2.2.0 py311hf63dbb6_0 conda-forge
pandocfilters 1.5.0 pyhd8ed1ab_0 conda-forge
parso 0.8.3 pyhd8ed1ab_0 conda-forge
partd 1.4.1 pyhd8ed1ab_0 conda-forge
pcre2 10.40 h17e33f8_0 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pillow 10.0.0 py311hde623f7_0 conda-forge
pip 23.3.1 py311haa95532_0
pixman 0.43.2 h63175ca_0 conda-forge
pkgutil-resolve-name 1.3.10 pyhd8ed1ab_1 conda-forge
platformdirs 4.2.0 pyhd8ed1ab_0 conda-forge
poppler 23.05.0 h45d20d0_1 conda-forge
poppler-data 0.4.12 hd8ed1ab_0 conda-forge
postgresql 15.6 h94c9ec1_0 conda-forge
proj 9.2.1 h660b3b0_0 conda-forge
prometheus_client 0.20.0 pyhd8ed1ab_0 conda-forge
prompt-toolkit 3.0.42 pyha770c72_0 conda-forge
psutil 5.9.8 py311ha68e1ae_0 conda-forge
pthread-stubs 0.4 hcd874cb_1001 conda-forge
pthreads-win32 2.9.1 hfa6e2cd_3 conda-forge
pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge
pyarrow 15.0.0 py311h6a6099b_5_cpu conda-forge
pyarrow-hotfix 0.6 pyhd8ed1ab_0 conda-forge
pycparser 2.21 pyhd8ed1ab_0 conda-forge
pygeos 0.14 py311h343093d_1 conda-forge
pygments 2.17.2 pyhd8ed1ab_0 conda-forge
pyogrio 0.6.0 py311h03c997e_1 conda-forge
pyparsing 3.1.1 pyhd8ed1ab_0 conda-forge
pyproj 3.6.1 py311hcff2a09_0 conda-forge
pysocks 1.7.1 pyh0701188_6 conda-forge
python 3.11.5 he1021f5_0
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-fastjsonschema 2.19.1 pyhd8ed1ab_0 conda-forge
python-json-logger 2.0.7 pyhd8ed1ab_0 conda-forge
python-tzdata 2024.1 pyhd8ed1ab_0 conda-forge
python_abi 3.11 2_cp311 conda-forge
pytz 2024.1 pyhd8ed1ab_0 conda-forge
pywin32 306 py311h12c1d0e_2 conda-forge
pywinpty 2.0.12 py311h12c1d0e_0 conda-forge
pyyaml 6.0.1 py311ha68e1ae_1 conda-forge
pyzmq 25.1.2 py311h9250fbb_0 conda-forge
rasterio 1.3.8 py311h58bba51_0 conda-forge
re2 2023.06.02 hcbb65ff_0 conda-forge
referencing 0.33.0 pyhd8ed1ab_0 conda-forge
requests 2.31.0 pyhd8ed1ab_0 conda-forge
rfc3339-validator 0.1.4 pyhd8ed1ab_0 conda-forge
rfc3986-validator 0.1.1 pyh9f0ad1d_0 conda-forge
rpds-py 0.18.0 py311hc37eb10_0 conda-forge
send2trash 1.8.2 pyh08f2357_0 conda-forge
setuptools 68.2.2 py311haa95532_0
shapely 2.0.1 py311h343093d_1 conda-forge
six 1.16.0 pyh6c4a22f_0 conda-forge
snappy 1.1.10 hfb803bf_0 conda-forge
sniffio 1.3.0 pyhd8ed1ab_0 conda-forge
snuggs 1.4.7 py_0 conda-forge
sortedcontainers 2.4.0 pyhd8ed1ab_0 conda-forge
soupsieve 2.5 pyhd8ed1ab_1 conda-forge
sqlite 3.41.2 h2bbff1b_0
stack_data 0.6.2 pyhd8ed1ab_0 conda-forge
tbb 2021.11.0 h91493d7_1 conda-forge
tblib 3.0.0 pyhd8ed1ab_0 conda-forge
terminado 0.18.0 pyh5737063_0 conda-forge
tiledb 2.13.2 h3132609_0 conda-forge
tinycss2 1.2.1 pyhd8ed1ab_0 conda-forge
tk 8.6.12 h2bbff1b_0
tomli 2.0.1 pyhd8ed1ab_0 conda-forge
toolz 0.12.1 pyhd8ed1ab_0 conda-forge
tornado 6.4 py311ha68e1ae_0 conda-forge
traitlets 5.14.1 pyhd8ed1ab_0 conda-forge
types-python-dateutil 2.8.19.20240106 pyhd8ed1ab_0 conda-forge
typing-extensions 4.9.0 hd8ed1ab_0 conda-forge
typing_extensions 4.9.0 pyha770c72_0 conda-forge
typing_utils 0.1.0 pyhd8ed1ab_0 conda-forge
tzdata 2023d h04d1e81_0
ucrt 10.0.22621.0 h57928b3_0 conda-forge
uri-template 1.3.0 pyhd8ed1ab_0 conda-forge
uriparser 0.9.7 h1537add_1 conda-forge
urllib3 2.2.1 pyhd8ed1ab_0 conda-forge
vc 14.2 h21ff451_1
vc14_runtime 14.38.33130 h82b7239_18 conda-forge
vs2015_runtime 14.38.33130 hcb4865c_18 conda-forge
wcwidth 0.2.13 pyhd8ed1ab_0 conda-forge
webcolors 1.13 pyhd8ed1ab_0 conda-forge
webencodings 0.5.1 pyhd8ed1ab_2 conda-forge
websocket-client 1.7.0 pyhd8ed1ab_0 conda-forge
wheel 0.41.2 py311haa95532_0
win_inet_pton 1.1.0 pyhd8ed1ab_6 conda-forge
winpty 0.4.3 4 conda-forge
xerces-c 3.2.5 h63175ca_0 conda-forge
xorg-libxau 1.0.11 hcd874cb_0 conda-forge
xorg-libxdmcp 1.1.3 hcd874cb_0 conda-forge
xyzservices 2023.10.1 pyhd8ed1ab_0 conda-forge
xz 5.4.5 h8cc25b3_0
yaml 0.2.5 h8ffe710_2 conda-forge
zeromq 4.3.5 h63175ca_0 conda-forge
zict 3.0.0 pyhd8ed1ab_0 conda-forge
zipp 3.17.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.13 hcfcfb64_5 conda-forge
zstd 1.5.5 h12be248_0 conda-forge
@jorisvandenbossche - should this be updated to handle the absence of crs in column metadata?
dask-geopandas/dask_geopandas/io/arrow.py
Line 36 in 3489a1c
Apologies for the slow reply here. Thanks @osjahputera for the report! And @tschaub indeed we should not just assume the 'crs" key is present, thanks for the catch. Putting up a quick fix for this.
-> #290