pyproject.toml

[build-system]
# Minimum requirements for the build system to execute.
# See https://github.com/scipy/scipy/pull/12940 for the AIX issue.
requires = [
    "meson-python>=0.19.0,<1",
    "meson>=1.2.3,<2",
    "wheel",
    # "<4", not "<4.0.0a0": a pre-release in the bound makes pip eligible to
    # install Cython pre-releases (that pulled the 3.3.0a1 alpha into 3.0.4).
    "Cython>3.1.0,<4",  # Note: sync with environment.yml and asv.conf.json
    # numpy >= 2.0 keeps wheels compatible with numpy 1 and 2. Exclude 2.5.0:
    # wheels built against it segfault on older numpy (GH#66086; numpy GH#31804,
    # fixed in 2.5.1).
    "numpy>=2.0.0,!=2.5.0",
    "versioneer[toml]"
]

build-backend = "mesonpy"

[project]
name = 'pandas'
dynamic = ['version']
description = 'Powerful data structures for data analysis, time series, and statistics'
readme = 'README.md'
authors = [
  { name = 'The Pandas Development Team', email='pandas-dev@python.org' },
]
license = 'BSD-3-Clause'
license-files = [
  "LICENSE", # BSD-3-Clause
  "LICENSES/BOTTLENECK_LICENCE", # BSD-2-Clause
  "LICENSES/DATEUTIL_LICENSE", # Apache-2.0
  "LICENSES/HAVEN_LICENSE", # MIT
  "LICENSES/HAVEN_MIT", # MIT
  "LICENSES/KLIB_LICENSE", # MIT
  "LICENSES/MUSL_LICENSE", # MIT
  "LICENSES/NUMPY_LICENSE", # BSD-3-Clause
  "LICENSES/PACKAGING_LICENSE", # Apache-2.0
  "LICENSES/PSF_LICENSE", #  PSF-2.0
  "LICENSES/PYPERCLIP_LICENSE", # BSD-3-Clause
  "LICENSES/PYUPGRADE_LICENSE", # MIT
  "LICENSES/SAS7BDAT_LICENSE", # MIT
  "LICENSES/STATSBASE_JL_LICENSE", # MIT
  "LICENSES/ULTRAJSON_LICENSE", # BSD-3-Clause AND TCL
  "LICENSES/XSIMD_LICENSE", # BSD-3-Clause
  "subprojects/fast_float-*/LICENSE-APACHE", # Apache-2.0
  "subprojects/fast_float-*/LICENSE-BOOST", # BSL
  "subprojects/fast_float-*/LICENSE-MIT", # MIT
]
requires-python = '>=3.11'
dependencies = [
  "numpy>=2.0.2; python_version < '3.14'",
  # Earlier versions of NumPy are fundamentally broken on 3.14
  "numpy>=2.3.3; python_version >= '3.14'",
  "python-dateutil>=2.9.0",
  "tzdata; sys_platform == 'win32'",
  # Emscripten is the platform system for Pyodide.
  "tzdata; sys_platform == 'emscripten'",
]
classifiers = [
    'Development Status :: 5 - Production/Stable',
    'Environment :: Console',
    'Intended Audience :: Science/Research',
    'Operating System :: OS Independent',
    'Programming Language :: Cython',
    'Programming Language :: Python',
    'Programming Language :: Python :: 3',
    'Programming Language :: Python :: 3 :: Only',
    'Programming Language :: Python :: 3.11',
    'Programming Language :: Python :: 3.12',
    'Programming Language :: Python :: 3.13',
    'Programming Language :: Python :: 3.14',
    'Programming Language :: Python :: 3.15',
    'Topic :: Scientific/Engineering'
]

[project.urls]
homepage = 'https://pandas.pydata.org'
source = 'https://github.com/pandas-dev/pandas'
documentation = 'https://pandas.pydata.org/docs/'
changelog = 'https://pandas.pydata.org/docs/whatsnew/index.html'
issues = 'https://github.com/pandas-dev/pandas/issues'
funding = 'https://opencollective.com/pandas'

[project.entry-points."pandas_plotting_backends"]
matplotlib = "pandas:plotting._matplotlib"

[project.optional-dependencies]
test = ['pytest>=8.3.4', 'pytest-xdist>=3.6.1']
pyarrow = ['pyarrow>=16.0.0']
performance = ['bottleneck>=1.5.0', 'numba>=0.61.2', 'numexpr>=2.11.0,!=2.14.1']
computation = ['scipy>=1.16.1', 'xarray>=2025.7.1']
fss = ['fsspec>=2025.7.0']
aws = ['s3fs>=2025.7.0']
gcp = ['gcsfs>=2025.7.0']
excel = ['odfpy>=1.4.1', 'openpyxl>=3.1.5', 'python-calamine>=0.4.0', 'pyxlsb>=1.0.10', 'xlrd>=2.0.2', 'xlsxwriter>=3.2.5']
parquet = ['pyarrow>=13.0.0']
feather = ['pyarrow>=13.0.0']
iceberg = ['pyiceberg>=0.9.1']
hdf5 = ['tables>=3.10.2']
spss = ['pyreadstat>=1.3.0']
postgresql = ['SQLAlchemy>=2.0.42', 'psycopg2>=2.9.10', 'adbc-driver-postgresql>=1.7.0']
mysql = ['SQLAlchemy>=2.0.42', 'pymysql>=1.1.1']
sql-other = ['SQLAlchemy>=2.0.42', 'adbc-driver-postgresql>=1.7.0', 'adbc-driver-sqlite>=1.7.0']
html = ['beautifulsoup4>=4.13.4', 'html5lib>=1.1', 'lxml>=6.0.0']
xml = ['lxml>=6.0.0']
plot = ['matplotlib>=3.10.5']
output-formatting = ['jinja2>=3.1.6', 'tabulate>=0.9.0']
clipboard = ['PyQt5>=5.15.11', 'qtpy>=2.4.3']
compression = ['zstandard>=0.23.0']
timezone = ['pytz>=2020.1']
all = ['adbc-driver-postgresql>=1.7.0',
       'adbc-driver-sqlite>=1.7.0',
       'beautifulsoup4>=4.13.4',
       'bottleneck>=1.5.0',
       'fastparquet>=2024.11.0',
       'fsspec>=2025.7.0',
       'gcsfs>=2025.7.0',
       'html5lib>=1.1',
       'jinja2>=3.1.6',
       'lxml>=6.0.0',
       'matplotlib>=3.10.5',
       'numba>=0.61.2',
       'numexpr>=2.11.0,!=2.14.1',
       'odfpy>=1.4.1',
       'openpyxl>=3.1.5',
       'psycopg2>=2.9.10',
       'pyarrow>=16.0.0',
       'pyiceberg>=0.9.1',
       'pymysql>=1.1.1',
       'PyQt5>=5.15.11',
       'pyreadstat>=1.3.0',
       'pytest>=8.3.4',
       'pytest-xdist>=3.6.1',
       'python-calamine>=0.4.0',
       'pytz>=2020.1',
       'pyxlsb>=1.0.10',
       'qtpy>=2.4.3',
       'scipy>=1.16.1',
       's3fs>=2025.7.0',
       'SQLAlchemy>=2.0.42',
       'tables>=3.10.2',
       'tabulate>=0.9.0',
       'xarray>=2025.7.1',
       'xlrd>=2.0.2',
       'xlsxwriter>=3.2.5',
       'zstandard>=0.23.0']

# See the docstring in versioneer.py for instructions. Note that you must
# re-run 'versioneer.py setup' after changing this section, and commit the
# resulting files.
[tool.versioneer]
VCS = "git"
style = "pep440"
versionfile_source = "pandas/_version.py"
versionfile_build = "pandas/_version.py"
tag_prefix = "v"
parentdir_prefix = "pandas-"

[tool.meson-python.args]
dist = ['--include-subprojects']

[tool.cibuildwheel]
skip = ["*_i686", "*_ppc64le", "*_s390x"]
enable = ["pyodide-eol"]
build-verbosity = 1
config-settings = { compile-args = ["-v"] }
environment = {LDFLAGS="-Wl,--strip-all"}
test-extras = "test"
test-command = """
  python -c 'import pandas as pd; \
  pd.test(extra_args=["-m not clipboard and not single_cpu and not slow and not network and not db", "--numprocesses=2", "--dist=worksteal", "--no-strict-data-files"]); \
  pd.test(extra_args=["-m not clipboard and single_cpu and not slow and not network and not db", "--no-strict-data-files"]);' \
  """

[tool.cibuildwheel.windows]
config-settings = { setup-args = ["--vsenv"] }
environment = {}
# powershell needs to swap quotes?
test-command = """
  python -c "import pandas as pd; \
  pd.test(extra_args=['-m not clipboard and not single_cpu and not slow and not network and not db', '--numprocesses=2', '--dist=worksteal', '--no-strict-data-files']); \
  pd.test(extra_args=['-m not clipboard and single_cpu and not slow and not network and not db', '--no-strict-data-files']);" \
  """

[[tool.cibuildwheel.overrides]]
select = "*-musllinux*"
before-test = "apk update && apk add musl-locales"

[[tool.cibuildwheel.overrides]]
select = "*-macosx*"
environment = {CFLAGS="-g0"}

[[tool.cibuildwheel.overrides]]
select = "*pyodide*"
# pytest-xdist cannot be used on Pyodide
# OSError: [Errno 138] emscripten does not support processes
# nocacheprovider is needed to avoid cleaning up pytest cache failing with PermissionError
test-command = """
  python -c 'import pandas as pd; \
  pd.test(extra_args=["-m not clipboard and not single_cpu and not slow and not network and not db", "--no-strict-data-files", "-p no:cacheprovider"]);' \
  """

[tool.ruff]
line-length = 88
target-version = "py311"
fix = true

[tool.ruff.lint]
unfixable = []
typing-modules = ["pandas._typing"]

select = [
  # pyflakes
  "F",
  # pycodestyle
  "E", "W",
  # flake8-2020
  "YTT",
  # flake8-bugbear
  "B",
  # flake8-quotes
  "Q",
  # flake8-debugger
  "T10",
  # flake8-gettext
  "INT",
  # pylint
  "PL",
  # flake8-pytest-style
  "PT",
  # misc lints
  "PIE",
  # flake8-pyi
  "PYI",
  # tidy imports
  "TID",
  # implicit string concatenation
  "ISC",
  # flake8-type-checking
  "TC",
  # comprehensions
  "C4",
  # pygrep-hooks
  "PGH",
  # Ruff-specific rules
  "RUF",
  # flake8-bandit: exec-builtin
  "S102",
  # numpy-legacy-random
  "NPY002",
  # Perflint
  "PERF",
  # flynt
  "FLY",
  # flake8-logging-format
  "G",
  # flake8-future-annotations
  "FA",
  # unconventional-import-alias
  "ICN001",
  # flake8-slots
  "SLOT",
  # flake8-raise
  "RSE",
  # pyupgrade
  "UP",
]

ignore = [
  ### Intentionally disabled
  # module level import not at top of file
  "E402",
  # do not assign a lambda expression, use a def
  "E731",
  # controversial
  "B007",
  # controversial
  "B008",
  # getattr is used to side-step mypy
  "B010",
  # tests use comparisons but not their returned value
  "B015",
  # Function definition does not bind loop variable
  "B023",
  # Too many arguments to function call
  "PLR0913",
  # Too many returns
  "PLR0911",
  # Too many branches
  "PLR0912",
  # Too many statements
  "PLR0915",
  # Redefined loop name
  "PLW2901",
  # Global statements are discouraged
  "PLW0603",
  # Use `typing.NamedTuple` instead of `collections.namedtuple`
  "PYI024",
  # Use of possibly insecure function; consider using ast.literal_eval
  "S307",
  # while int | float can be shortened to float, the former is more explicit
  "PYI041",
  # incorrect-dict-iterator, flags valid Series.items usage
  "PERF102",
  # pytest-parametrize-names-wrong-type
  "PT006",
  # pytest-parametrize-values-wrong-type
  "PT007",
  # pytest-patch-with-lambda
  "PT008",
  # pytest-raises-with-multiple-statements
  "PT012",
  # pytest-assert-in-except
  "PT017",
  # pytest-composite-assertion
  "PT018",
  # pytest-fixture-param-without-value
  "PT019",
  # The following rules may cause conflicts when used with the formatter:
  "ISC001",
  # if-stmt-min-max
  "PLR1730",
  # nan-comparison
  "PLW0177",

  ### TODO: Enable gradually
  # Useless statement
  "B018",
  # Magic number
  "PLR2004",
  # comparison-with-itself
  "PLR0124",
  # mutable-class-default
  "RUF012",
  # type-comparison
  "E721",
  # self-or-cls-assignment
  "PLW0642",
  # literal-membership
  "PLR6201", # 847 errors
  # Method could be a function, class method, or static method
  "PLR6301", # 11411 errors
  # Private name import
  "PLC2701", # 27 errors
  # Too many positional arguments (6/5)
  "PLR0917", # 470 errors
  # compare-to-empty-string
  "PLC1901",
  # `tempfile.NamedTemporaryFile` in text mode without explicit `encoding` argument
  "PLW1514", # 1 error
  # Object does not implement `__hash__` method
  "PLW1641", # 16 errors
  # Bad or misspelled dunder method name
  "PLW3201", # 69 errors, seems to be all false positive
  # Unpacking a dictionary in iteration without calling `.items()`
  "PLE1141", # autofixable
  # import-outside-toplevel
  "PLC0415",
  # unnecessary-dunder-call
  "PLC2801",
  # comparison-with-itself
  "PLR0124",
  # too-many-public-methods
  "PLR0904",
  # too-many-return-statements
  "PLR0911",
  # too-many-branches
  "PLR0912",
  # too-many-arguments
  "PLR0913",
  # too-many-locals
  "PLR0914",
  # too-many-statements
  "PLR0915",
  # too-many-boolean-expressions
  "PLR0916",
  # too-many-nested-blocks
  "PLR1702",
  # redefined-argument-from-local
  "PLR1704",
  # unnecessary-lambda
  "PLW0108",
  # global-statement
  "PLW0603",
  # unused-unpacked-variable
  "RUF059",
  # pytest-raises-ambiguous-pattern
  "RUF043",
  # implicit-string-concatenation-in-collection-litera
  "ISC004",
]

exclude = [
  "doc/sphinxext/*.py",
  "doc/build/*.py",
  "doc/temp/*.py",
  ".eggs/*.py",
  # vendored files
  "pandas/util/version/*",
  "pandas/io/clipboard/__init__.py",
  # exclude asv benchmark environments from linting
  "env",
]

[tool.ruff.lint.flake8-tidy-imports.banned-api]
"urllib.request.urlopen".msg = "Use pandas.io.common.urlopen instead of urllib.request.urlopen"
# numpy.random is banned but np.random is not. Is this intentional?
# "numpy.random".msg = "Do not use numpy.random"
"pytest.warns".msg = "Use tm.assert_produces_warning instead of pytest.warns"
"pytest.xfail".msg = "Use pytest.mark.xfail instead of pytest.xfail"
"conftest".msg = "No direct imports from conftest"
"numpy.testing".msg = "Do not use numpy.testing"
# "numpy.array_equal".msg = "Do not use numpy.array_equal" # Used in pandas/core
"unittest.mock".msg = "use pytest builtin monkeypatch fixture instead"
"os.remove".msg = "Do not use os.remove"
# Time-dependent test data broke CI at a DST transition (GH#44341).
"datetime.datetime.now".msg = "Use a fixed datetime, not the current time (GH#44341)"
"datetime.datetime.today".msg = "Use a fixed datetime, not the current time (GH#44341)"
"datetime.datetime.utcnow".msg = "Use a fixed datetime, not the current time (GH#44341)"
"pandas.Timestamp.now".msg = "Use a fixed datetime, not the current time (GH#44341)"
"pandas.Timestamp.today".msg = "Use a fixed datetime, not the current time (GH#44341)"
"pandas.Timestamp.utcnow".msg = "Use a fixed datetime, not the current time (GH#44341)"
"pandas.Period.now".msg = "Use a fixed datetime, not the current time (GH#44341)"



[tool.ruff.lint.flake8-import-conventions.aliases]
"pandas.core.construction.array" = "pd_array"

[tool.ruff.lint.per-file-ignores]
# relative imports allowed for asv_bench
"asv_bench/*" = ["TID", "NPY002"]
# to be enabled gradually
"pandas/tests/*" = ["B028", "FLY"]
# Keep this one enabled
"pandas/_typing.py" = ["TC"]

[tool.ruff.lint.flake8-pytest-style]
fixture-parentheses = false
mark-parentheses = false

[tool.ruff.format]
docstring-code-format = true

[tool.pytest.ini_options]
# sync minversion with pyproject.toml & install.rst
minversion = "8.3.4"
addopts = "--strict-markers --strict-config --capture=no --durations=30"
empty_parameter_set_mark = "fail_at_collect"
xfail_strict = true
testpaths = "pandas"
doctest_optionflags = [
  "NORMALIZE_WHITESPACE",
  "IGNORE_EXCEPTION_DETAIL",
  "ELLIPSIS",
]
# https://docs.pytest.org/en/stable/how-to/capture-warnings.html#controlling-warnings
# > When a warning matches more than one option in the list, the action for the last matching option is performed
filterwarnings = [
  "error",
  "error::ResourceWarning",
  "error::pytest.PytestUnraisableExceptionWarning",
  "error::pytest.PytestWarning",
  "ignore::pytest.PytestCacheWarning",
  # Ignore 3rd party EncodingWarning but raise on pandas'
  "ignore:.*encoding.* argument not specified:EncodingWarning",
  "error:.*encoding.* argument not specified:EncodingWarning:pandas",
  # From pyiceberg w/ Python >=3.13: https://github.com/apache/iceberg-python/issues/2530#issuecomment-3712112040
  "ignore:unclosed database in <sqlite3.Connection object*:ResourceWarning",
  # From fastparquet - test_read_filters_fastparquet
  "ignore:.*FileIO:pytest.PytestUnraisableExceptionWarning",
  # From plotting doctests
  "ignore:More than 20 figures have been opened:RuntimeWarning",
  "ignore:BuiltinImporter.module_repr() is deprecated and slated for removal in Python 3.12:DeprecationWarning",
  "ignore:Bitwise inversion:DeprecationWarning",
  # Raised by coverage in PY3.14+ (coverage.exceptions.CoverageWarning)
  "ignore:Plugin file tracers",
  # Raised by coverage in freethreading
  "ignore:Couldn't import C tracer",
  # From gcsfs, via google/auth/transport/grpc.py. Possibly removable in "October 2026" when google bumps grpcio min version.
  "ignore:.*grpcio.*Post-Quantum Cryptography:FutureWarning",
  # NumPy 2.5 DeprecationWarning in fastparquet
  "ignore:The 'generic' unit for NumPy timedelta is deprecated:DeprecationWarning:fastparquet",
]
junit_family = "xunit2"

[tool.mypy]
# Import discovery
files = ["pandas"]
namespace_packages = false
explicit_package_bases = false
ignore_missing_imports = true
follow_imports = "normal"
follow_imports_for_stubs = false
no_site_packages = false
no_silence_site_packages = false
# Platform configuration
python_version = "3.13"
platform = "linux-64"
# Disallow dynamic typing
disallow_any_unimported = false # TODO
disallow_any_expr = false # TODO
disallow_any_decorated = false # TODO
disallow_any_explicit = false # TODO
disallow_any_generics = false # TODO
disallow_subclassing_any = false # TODO
# Untyped definitions and calls
disallow_untyped_calls = true
disallow_untyped_defs = true
disallow_incomplete_defs = true
check_untyped_defs = true
disallow_untyped_decorators = true
# None and Optional handling
no_implicit_optional = true
strict_optional = true
# Configuring warnings
warn_redundant_casts = true
warn_unused_ignores = true
warn_no_return = true
warn_return_any = false # TODO
warn_unreachable = false # GH#27396
# Suppressing errors
ignore_errors = false
enable_error_code = "ignore-without-code"
# Miscellaneous strictness flags
allow_untyped_globals = false
allow_redefinition = false
local_partial_types = true
implicit_reexport = true
strict_equality = true
# Configuring error messages
show_error_context = false
show_column_numbers = false
show_error_codes = true

[[tool.mypy.overrides]]
module = [
  "pandas._libs.arrays",
  "pandas._libs.hashtable",
  "pandas._libs.index",
  "pandas._libs.internals",
  "pandas._libs.lib",
  "pandas._libs.missing",
  "pandas._libs.ops_dispatch",
  "pandas._libs.properties",
  "pandas._libs.sparse",
  "pandas._libs.testing",
  "pandas._libs.tslibs.fields",
  "pandas._libs.tslibs.nattype",
  "pandas._libs.tslibs.np_datetime",
  "pandas._libs.tslibs.offsets",
  "pandas._libs.tslibs.parsing",
  "pandas._libs.tslibs.period",
  "pandas._libs.tslibs.timedeltas",
  "pandas._libs.window.indexers",
  "pandas.core.array_algos.masked_reductions", # TODO
  "pandas.core.array_algos.replace", # TODO
  "pandas.core.array_algos.take", # TODO
  "pandas.core.arrays.*", # TODO
  "pandas.core.computation.align", # TODO
  "pandas.core.computation.engines", # TODO
  "pandas.core.computation.eval", # TODO
  "pandas.core.computation.expr", # TODO
  "pandas.core.computation.expressions", # TODO
  "pandas.core.computation.ops", # TODO
  "pandas.core.computation.pytables", # TODO
  "pandas.core.computation.scope", # TODO
  "pandas.core.dtypes.common", # TODO
  "pandas.core.dtypes.dtypes", # TODO
  "pandas.core.groupby.generic", # TODO
  "pandas.core.groupby.grouper", # TODO
  "pandas.core.groupby.groupby", # TODO
  "pandas.core.groupby.ops", # TODO
  "pandas.core.indexers.*", # TODO
  "pandas.core.indexes.accessors", # TODO
  "pandas.core.indexes.api", # TODO
  "pandas.core.indexes.datetimelike", # TODO
  "pandas.core.indexes.datetimes", # TODO
  "pandas.core.indexes.extension", # TODO
  "pandas.core.indexes.interval", # TODO
  "pandas.core.indexes.multi", # TODO
  "pandas.core.indexes.period", # TODO
  "pandas.core.indexes.timedeltas", # TODO
  "pandas.core.interchange.column", # TODO
  "pandas.core.interchange.dataframe_protocol", # TODO
  "pandas.core.interchange.from_dataframe", # TODO
  "pandas.core.internals", # TODO
  "pandas.core.internals.blocks", # TODO
  "pandas.core.internals.concat", # TODO
  "pandas.core.internals.construction", # TODO
  "pandas.core.internals.managers", # TODO
  "pandas.core.ops.array_ops", # TODO
  "pandas.core.ops.common", # TODO
  "pandas.core.ops.missing", # TODO
  "pandas.core.reshape.*", # TODO
  "pandas.core.strings.*", # TODO
  "pandas.core.tools.*", # TODO
  "pandas.core.window.common", # TODO
  "pandas.core.window.ewm", # TODO
  "pandas.core.window.expanding", # TODO
  "pandas.core.window.numba_", # TODO
  "pandas.core.window.rolling", # TODO
  "pandas.core.accessor", # TODO
  "pandas.core.algorithms", # TODO
  "pandas.core.apply", # TODO
  "pandas.core.arraylike", # TODO
  "pandas.core.base", # TODO
  "pandas.core.construction", # TODO
  "pandas.core.frame", # TODO
  "pandas.core.generic", # TODO
  "pandas.core.indexing", # TODO
  "pandas.core.missing", # TODO
  "pandas.core.nanops", # TODO
  "pandas.core.resample", # TODO
  "pandas.core.series", # TODO
  "pandas.io.clipboard", # TODO
  "pandas.io.excel._base", # TODO
  "pandas.io.excel._odfreader", # TODO
  "pandas.io.excel._openpyxl", # TODO
  "pandas.io.excel._xlrd", # TODO
  "pandas.io.excel._xlsxwriter", # TODO
  "pandas.io.formats.excel", # TODO
  "pandas.io.formats.format", # TODO
  "pandas.io.formats.style", # TODO
  "pandas.io.formats.style_render", # TODO
  "pandas.io.formats.xml", # TODO
  "pandas.io.json.*", # TODO
  "pandas.io.parsers.*", # TODO
  "pandas.io.sas.sas_xport", # TODO
  "pandas.io.sas.sas7bdat", # TODO
  "pandas.io.clipboards", # TODO
  "pandas.io.html", # TODO
  "pandas.io.parquet", # TODO
  "pandas.io.pytables", # TODO
  "pandas.io.sql", # TODO
  "pandas.plotting.*", # TODO
  "pandas.tests.*",
  "pandas.tseries.frequencies", # TODO
  "pandas.tseries.holiday", # TODO
  "pandas.conftest",
  "pandas"
]
disallow_untyped_calls = false
disallow_untyped_defs = false
disallow_incomplete_defs = false

[[tool.mypy.overrides]]
module = [
  "pandas.tests.*",
  "pandas.io.clipboard",
]
check_untyped_defs = false

# To be kept consistent with "Import Formatting" section in contributing.rst
[tool.isort]
known_pre_libs = "pandas._config"
known_pre_core = ["pandas._libs", "pandas._typing", "pandas.util._*", "pandas.compat", "pandas.errors"]
known_dtypes = "pandas.core.dtypes"
known_post_core = ["pandas.tseries", "pandas.io", "pandas.plotting"]
sections = ["FUTURE", "STDLIB", "THIRDPARTY" ,"PRE_LIBS" , "PRE_CORE", "DTYPES", "FIRSTPARTY", "POST_CORE", "LOCALFOLDER"]
profile = "black"
combine_as_imports = true
force_grid_wrap = 2
force_sort_within_sections = true
skip_glob = "env"
skip = "pandas/__init__.py"

[tool.pyright]
pythonVersion = "3.11"
typeCheckingMode = "basic"
useLibraryCodeForTypes = false
include = ["pandas"]
exclude = ["pandas/tests", "pandas/io/clipboard", "pandas/util/version", "pandas/core/_numba/extensions.py"]
# enable subset of "strict"
reportDuplicateImport = true
reportInconsistentConstructor = true
reportInvalidStubStatement = true
reportOverlappingOverload = true
reportPropertyTypeMismatch = true
reportUntypedClassDecorator = true
reportUntypedFunctionDecorator = true
reportUntypedNamedTuple = true
reportUnusedImport = true
disableBytesTypePromotions = true
# disable subset of "basic"
reportArgumentType = false
reportAssignmentType = false
reportAttributeAccessIssue = false
reportCallIssue = false
reportGeneralTypeIssues = false
reportIndexIssue = false
reportMissingModuleSource = false
reportOperatorIssue = false
reportOptionalMemberAccess = false
reportReturnType = false

[tool.coverage.run]
# Reported coverage will be less than expected due to
# https://github.com/pytest-dev/pytest-cov/issues/455
branch = true
omit = ["pandas/_typing.py"]
source = ["pandas"]

[tool.coverage.report]
ignore_errors = false
show_missing = true
exclude_lines = [
  # Have to re-enable the standard pragma
  "pragma: no cover",
  # Don't complain if tests don't hit defensive assertion code:
  "raise AssertionError",
  "AbstractMethodError",
  # Don't complain if non-runnable code isn't run:
  "if __name__ == .__main__.:",
  "if TYPE_CHECKING:",
]

[tool.codespell]
ignore-words-list = "blocs, coo, hist, nd, sav, ser, recuse, nin, timere, expec, expecs, indext, SME, NotIn, tructures, tru, indx, abd, ABD"
ignore-regex = 'https://([\w/\.])+'