python311Packages.pandas 0 -> 1 attrpath: python311Packages.pandas Checking auto update branch... [version] [version] skipping because derivation has updateScript [rustCrateVersion] [rustCrateVersion] No cargoSha256 or cargoHash found [golangModuleVersion] [golangModuleVersion] Not a buildGoModule package with vendorSha256 or vendorHash [npmDepsVersion] [npmDepsVersion] No npmDepsHash [updateScript] [updateScript] Success [updateScript] this derivation will be built: /nix/store/px3j0f6zjdl09hsh3pkwv8y64hwnqd6b-packages.json.drv building '/nix/store/px3j0f6zjdl09hsh3pkwv8y64hwnqd6b-packages.json.drv'... Going to be running update for following packages: - python3.11-pandas-2.2.0 Press Enter key to continue... Running update for: - python3.11-pandas-2.2.0: UPDATING ... - python3.11-pandas-2.2.0: DONE. Packages updated! Diff after rewrites: diff --git a/pkgs/development/python-modules/pandas/default.nix b/pkgs/development/python-modules/pandas/default.nix index 30d35747ee62..6cb46d6777c9 100644 --- a/pkgs/development/python-modules/pandas/default.nix +++ b/pkgs/development/python-modules/pandas/default.nix @@ -64,7 +64,7 @@ let pandas = buildPythonPackage rec { pname = "pandas"; - version = "2.2.0"; + version = "2.2.1"; pyproject = true; disabled = pythonOlder "3.9"; @@ -73,7 +73,7 @@ let pandas = buildPythonPackage rec { owner = "pandas-dev"; repo = "pandas"; rev = "refs/tags/v${version}"; - hash = "sha256-PMrqniyyFYRnAeFBruPrTrGKzX2dRxMRct8AHeghstA="; + hash = "sha256-eyVUIYG0KCAEJbh/qZiEjGpdXq7A+2Lab+5bp+7t4cw="; }; postPatch = '' No auto update branch exists Old version 2.2.0" not present in staging derivation file with contents: { lib , stdenv , buildPythonPackage , fetchFromGitHub , pythonAtLeast , pythonOlder # build-system , cython_3 , meson-python , meson , oldest-supported-numpy , pkg-config , versioneer , wheel # propagates , numpy , python-dateutil , pytz , tzdata # optionals , beautifulsoup4 , bottleneck , blosc2 , fsspec , gcsfs , html5lib , jinja2 , lxml , matplotlib , numba , numexpr , odfpy , openpyxl , psycopg2 , pyarrow , pymysql , pyqt5 , pyreadstat , qtpy , s3fs , scipy , sqlalchemy , tables , tabulate , xarray , xlrd , xlsxwriter , zstandard # tests , adv_cmds , glibc , glibcLocales , hypothesis , pytestCheckHook , pytest-xdist , pytest-asyncio , python , runtimeShell }: let pandas = buildPythonPackage rec { pname = "pandas"; version = "2.2.1"; pyproject = true; disabled = pythonOlder "3.9"; src = fetchFromGitHub { owner = "pandas-dev"; repo = "pandas"; rev = "refs/tags/v${version}"; hash = "sha256-eyVUIYG0KCAEJbh/qZiEjGpdXq7A+2Lab+5bp+7t4cw="; }; postPatch = '' substituteInPlace pyproject.toml \ --replace-fail "Cython==3.0.5" "Cython>=3.0.5" \ --replace-fail "meson-python==0.13.1" "meson-python>=0.13.1" \ --replace-fail "meson==1.2.1" "meson>=1.2.1" ''; nativeBuildInputs = [ cython_3 meson-python meson numpy pkg-config versioneer wheel ] ++ versioneer.optional-dependencies.toml ++ lib.optionals (pythonOlder "3.12") [ oldest-supported-numpy ]; enableParallelBuilding = true; propagatedBuildInputs = [ numpy python-dateutil pytz tzdata ]; passthru.optional-dependencies = let extras = { aws = [ s3fs ]; clipboard = [ pyqt5 qtpy ]; compression = [ zstandard ]; computation = [ scipy xarray ]; excel = [ odfpy openpyxl # TODO: pyxlsb xlrd xlsxwriter ]; feather = [ pyarrow ]; fss = [ fsspec ]; gcp = [ gcsfs # TODO: pandas-gqb ]; hdf5 = [ blosc2 tables ]; html = [ beautifulsoup4 html5lib lxml ]; mysql = [ sqlalchemy pymysql ]; output_formatting = [ jinja2 tabulate ]; parquet = [ pyarrow ]; performance = [ bottleneck numba numexpr ]; plot = [ matplotlib ]; postgresql = [ sqlalchemy psycopg2 ]; spss = [ pyreadstat ]; sql-other = [ sqlalchemy ]; xml = [ lxml ]; }; in extras // { all = lib.concatLists (lib.attrValues extras); }; doCheck = false; # various infinite recursions passthru.tests.pytest = pandas.overridePythonAttrs (_: { doCheck = true; }); nativeCheckInputs = [ glibcLocales hypothesis pytest-asyncio pytest-xdist pytestCheckHook ] ++ lib.flatten (lib.attrValues passthru.optional-dependencies) ++ lib.optionals (stdenv.isLinux) [ # for locale executable glibc ] ++ lib.optionals (stdenv.isDarwin) [ # for locale executable adv_cmds ]; # don't max out build cores, it breaks tests dontUsePytestXdist = true; __darwinAllowLocalNetworking = true; pytestFlagsArray = [ # https://github.com/pandas-dev/pandas/blob/main/test_fast.sh "-m" "'not single_cpu and not slow and not network and not db and not slow_arm'" # https://github.com/pandas-dev/pandas/issues/54907 "--no-strict-data-files" "--numprocesses" "4" ]; disabledTests = [ # AssertionError: Did not see expected warning of class 'FutureWarning' "test_parsing_tzlocal_deprecated" ] ++ lib.optionals (stdenv.isDarwin && stdenv.isAarch64) [ # tests/generic/test_finalize.py::test_binops[and_-args4-right] - AssertionError: assert {} == {'a': 1} "test_binops" # These tests are unreliable on aarch64-darwin. See https://github.com/pandas-dev/pandas/issues/38921. "test_rolling" ] ++ lib.optional stdenv.is32bit [ # https://github.com/pandas-dev/pandas/issues/37398 "test_rolling_var_numerical_issues" ]; # Tests have relative paths, and need to reference compiled C extensions # so change directory where `import .test` is able to be resolved preCheck = '' export HOME=$TMPDIR export LC_ALL="en_US.UTF-8" cd $out/${python.sitePackages}/pandas '' # TODO: Get locale and clipboard support working on darwin. # Until then we disable the tests. + lib.optionalString stdenv.isDarwin '' # Fake the impure dependencies pbpaste and pbcopy echo "#!${runtimeShell}" > pbcopy echo "#!${runtimeShell}" > pbpaste chmod a+x pbcopy pbpaste export PATH=$(pwd):$PATH ''; pythonImportsCheck = [ "pandas" ]; meta = with lib; { # pandas devs no longer test i686, it's commonly broken # broken = stdenv.isi686; changelog = "https://pandas.pydata.org/docs/whatsnew/index.html"; description = "Powerful data structures for data analysis, time series, and statistics"; downloadPage = "https://github.com/pandas-dev/pandas"; homepage = "https://pandas.pydata.org"; license = licenses.bsd3; longDescription = '' Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more. ''; maintainers = with maintainers; [ raskin fridh knedlsepp ]; }; }; in pandas