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DEPS: Clean unused dependencies
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ci/deps/actions-310-minimum_versions.yaml

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# optional dependencies
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- beautifulsoup4=4.12.3
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- blosc=1.21.3
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- bottleneck=1.3.6
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- fastparquet=2024.2.0
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- fsspec=2024.2.0

ci/deps/actions-310.yaml

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# optional dependencies
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- beautifulsoup4>=4.12.3
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- blosc>=1.21.3
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- bottleneck>=1.3.6
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- fastparquet>=2024.2.0
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- fsspec>=2024.2.0

ci/deps/actions-311-downstream_compat.yaml

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# optional dependencies
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- beautifulsoup4>=4.12.3
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- blosc>=1.21.3
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- bottleneck>=1.3.6
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- fastparquet>=2024.2.0
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- fsspec>=2024.2.0

ci/deps/actions-311.yaml

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# optional dependencies
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- beautifulsoup4>=4.12.3
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- blosc>=1.21.3
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- bottleneck>=1.3.6
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- fastparquet>=2024.2.0
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- fsspec>=2024.2.0

ci/deps/actions-312.yaml

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# optional dependencies
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- beautifulsoup4>=4.12.3
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- blosc>=1.21.3
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- bottleneck>=1.3.6
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- fastparquet>=2024.2.0
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- fsspec>=2024.2.0

doc/source/getting_started/install.rst

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@@ -305,7 +305,6 @@ Installable with ``pip install "pandas[hdf5, parquet, feather, spss, excel]"``
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Dependency Minimum Version pip extra Notes
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====================================================== ================== ================ ==========================================================
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`PyTables <https://github.com/PyTables/PyTables>`__ 3.8.0 hdf5 HDF5-based reading / writing
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`blosc <https://github.com/Blosc/c-blosc>`__ 1.21.3 hdf5 Compression for HDF5; only available on ``conda``
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`zlib <https://github.com/madler/zlib>`__ hdf5 Compression for HDF5
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`fastparquet <https://github.com/dask/fastparquet>`__ 2024.2.0 - Parquet reading / writing (pyarrow is default)
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`pyarrow <https://github.com/apache/arrow>`__ 10.0.1 parquet, feather Parquet, ORC, and feather reading / writing

environment.yml

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# optional dependencies
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- beautifulsoup4>=4.12.3
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- blosc
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- bottleneck>=1.3.6
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- fastparquet>=2024.2.0
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- fsspec>=2024.2.0
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- scipy>=1.12.0
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- sqlalchemy>=2.0.0
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- tabulate>=0.9.0
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- xarray>=2024.1.1, <=2024.9.0
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- xarray>=2024.1.1
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- xlrd>=2.0.1
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- xlsxwriter>=3.2.0
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- zstandard>=0.22.0
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# documentation
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- gitpython # obtain contributors from git for whatsnew
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- gitdb
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- google-auth
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- natsort # DataFrame.sort_values doctest
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- numpydoc
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- pydata-sphinx-theme=0.16

pandas/compat/_optional.py

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"adbc-driver-postgresql": "0.10.0",
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"adbc-driver-sqlite": "0.8.0",
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"bs4": "4.12.3",
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"blosc": "1.21.3",
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"bottleneck": "1.3.6",
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"fastparquet": "2024.2.0",
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"fsspec": "2024.2.0",

pyproject.toml

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@@ -68,9 +68,7 @@ gcp = ['gcsfs>=2024.2.0']
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excel = ['odfpy>=1.4.1', 'openpyxl>=3.1.2', 'python-calamine>=0.1.7', 'pyxlsb>=1.0.10', 'xlrd>=2.0.1', 'xlsxwriter>=3.2.0']
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parquet = ['pyarrow>=10.0.1']
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feather = ['pyarrow>=10.0.1']
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hdf5 = [# blosc only available on conda (https://github.com/Blosc/python-blosc/issues/297)
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#'blosc>=1.20.1',
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'tables>=3.8.0']
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hdf5 = ['tables>=3.8.0']
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spss = ['pyreadstat>=1.2.6']
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postgresql = ['SQLAlchemy>=2.0.0', 'psycopg2>=2.9.6', 'adbc-driver-postgresql>=0.10.0']
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mysql = ['SQLAlchemy>=2.0.0', 'pymysql>=1.1.0']
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all = ['adbc-driver-postgresql>=0.10.0',
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'adbc-driver-sqlite>=0.8.0',
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'beautifulsoup4>=4.12.3',
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# blosc only available on conda (https://github.com/Blosc/python-blosc/issues/297)
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#'blosc>=1.21.3',
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'bottleneck>=1.3.6',
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'fastparquet>=2024.2.0',
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'fsspec>=2024.2.0',

requirements-dev.txt

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python-dateutil
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numpy<3
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beautifulsoup4>=4.12.3
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blosc
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bottleneck>=1.3.6
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fastparquet>=2024.2.0
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fsspec>=2024.2.0
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scipy>=1.12.0
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SQLAlchemy>=2.0.0
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tabulate>=0.9.0
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xarray>=2024.1.1, <=2024.9.0
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xarray>=2024.1.1
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xlrd>=2.0.1
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xlsxwriter>=3.2.0
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zstandard>=0.22.0
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tokenize-rt
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pre-commit>=4.2.0
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gitpython
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gitdb
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google-auth
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natsort
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numpydoc
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pydata-sphinx-theme==0.16

scripts/tests/data/deps_expected_random.yaml

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# optional dependencies
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- beautifulsoup4>=5.9.3
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- blosc
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- bottleneck>=1.3.2
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- fastparquet>=0.6.3
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- fsspec>=2021.07.0

scripts/tests/data/deps_minimum.toml

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excel = ['odfpy>=1.4.1', 'openpyxl>=3.0.7', 'python-calamine>=0.1.7', 'pyxlsb>=1.0.8', 'xlrd>=2.0.1', 'xlsxwriter>=1.4.3']
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parquet = ['pyarrow>=7.0.0']
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feather = ['pyarrow>=7.0.0']
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hdf5 = [# blosc only available on conda (https://github.com/Blosc/python-blosc/issues/297)
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#'blosc>=1.20.1',
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'tables>=3.6.1']
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hdf5 = ['tables>=3.6.1']
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spss = ['pyreadstat>=1.1.2']
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postgresql = ['SQLAlchemy>=1.4.16', 'psycopg2>=2.8.6']
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mysql = ['SQLAlchemy>=1.4.16', 'pymysql>=1.1.0']
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clipboard = ['PyQt5>=5.15.1', 'qtpy>=2.3.0']
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compression = ['zstandard>=0.15.2']
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all = ['beautifulsoup4>=5.9.3',
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# blosc only available on conda (https://github.com/Blosc/python-blosc/issues/297)
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#'blosc>=1.21.0',
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'bottleneck>=1.3.2',
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'fastparquet>=0.6.3',
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'fsspec>=2021.07.0',

scripts/tests/data/deps_unmodified_random.yaml

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# optional dependencies
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- beautifulsoup4
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- blosc
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- bottleneck>=1.3.2
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- fastparquet>=0.6.3
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- fsspec>=2021.07.0

scripts/validate_min_versions_in_sync.py

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SETUP_PATH = pathlib.Path("pyproject.toml").resolve()
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YAML_PATH = pathlib.Path("ci/deps")
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ENV_PATH = pathlib.Path("environment.yml")
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EXCLUDE_DEPS = {"tzdata", "blosc", "pyqt", "pyqt5"}
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EXCLUDE_DEPS = {"tzdata", "pyqt", "pyqt5"}
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EXCLUSION_LIST = frozenset(["python=3.8[build=*_pypy]"])
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# pandas package is not available
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# in pre-commit environment

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