-
-
Notifications
You must be signed in to change notification settings - Fork 18.1k
/
pyproject.toml
789 lines (749 loc) · 22.7 KB
/
pyproject.toml
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
[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==0.13.1",
"meson==1.0.1",
"wheel",
"Cython>=0.29.33,<3", # Note: sync with setup.py, environment.yml and asv.conf.json
# Note: numpy 1.25 has a backwards compatible C API by default
# we don't want to force users to compile with 1.25 though
# (Ideally, in the future, though, oldest-supported-numpy can be dropped when our min numpy is 1.25.x)
"oldest-supported-numpy>=2022.8.16; python_version<'3.12'",
"numpy>=1.22.4; python_version>='3.12'",
"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='[email protected]' },
]
license = {file = 'LICENSE'}
requires-python = '>=3.9'
dependencies = [
"numpy>=1.22.4; python_version<'3.11'",
"numpy>=1.23.2; python_version>='3.11'",
"python-dateutil>=2.8.2",
"pytz>=2020.1",
"tzdata>=2022.1"
]
classifiers = [
'Development Status :: 5 - Production/Stable',
'Environment :: Console',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: BSD License',
'Operating System :: OS Independent',
'Programming Language :: Cython',
'Programming Language :: Python',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3 :: Only',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
'Programming Language :: Python :: 3.11',
'Topic :: Scientific/Engineering'
]
[project.urls]
homepage = 'https://pandas.pydata.org'
documentation = 'https://pandas.pydata.org/docs/'
repository = 'https://github.com/pandas-dev/pandas'
[project.entry-points."pandas_plotting_backends"]
matplotlib = "pandas:plotting._matplotlib"
[project.optional-dependencies]
test = ['hypothesis>=6.46.1', 'pytest>=7.3.2', 'pytest-xdist>=2.2.0', 'pytest-asyncio>=0.17.0']
performance = ['bottleneck>=1.3.4', 'numba>=0.55.2', 'numexpr>=2.8.0']
computation = ['scipy>=1.8.1', 'xarray>=2022.03.0']
fss = ['fsspec>=2022.05.0']
aws = ['s3fs>=2022.05.0']
gcp = ['gcsfs>=2022.05.0', 'pandas-gbq>=0.17.5']
excel = ['odfpy>=1.4.1', 'openpyxl>=3.0.10', 'pyxlsb>=1.0.9', 'xlrd>=2.0.1', 'xlsxwriter>=3.0.3']
parquet = ['pyarrow>=7.0.0']
feather = ['pyarrow>=7.0.0']
hdf5 = [# blosc only available on conda (https://github.com/Blosc/python-blosc/issues/297)
#'blosc>=1.20.1',
'tables>=3.7.0']
spss = ['pyreadstat>=1.1.5']
postgresql = ['SQLAlchemy>=1.4.36', 'psycopg2>=2.9.3']
mysql = ['SQLAlchemy>=1.4.36', 'pymysql>=1.0.2']
sql-other = ['SQLAlchemy>=1.4.36']
html = ['beautifulsoup4>=4.11.1', 'html5lib>=1.1', 'lxml>=4.8.0']
xml = ['lxml>=4.8.0']
plot = ['matplotlib>=3.6.1']
output_formatting = ['jinja2>=3.1.2', 'tabulate>=0.8.10']
clipboard = ['PyQt5>=5.15.6', 'qtpy>=2.2.0']
compression = ['zstandard>=0.17.0']
consortium-standard = ['dataframe-api-compat>=0.1.7']
all = ['beautifulsoup4>=4.11.1',
# blosc only available on conda (https://github.com/Blosc/python-blosc/issues/297)
#'blosc>=1.21.0',
'bottleneck>=1.3.4',
'dataframe-api-compat>=0.1.7',
'fastparquet>=0.8.1',
'fsspec>=2022.05.0',
'gcsfs>=2022.05.0',
'html5lib>=1.1',
'hypothesis>=6.46.1',
'jinja2>=3.1.2',
'lxml>=4.8.0',
'matplotlib>=3.6.1',
'numba>=0.55.2',
'numexpr>=2.8.0',
'odfpy>=1.4.1',
'openpyxl>=3.0.10',
'pandas-gbq>=0.17.5',
'psycopg2>=2.9.3',
'pyarrow>=7.0.0',
'pymysql>=1.0.2',
'PyQt5>=5.15.6',
'pyreadstat>=1.1.5',
'pytest>=7.3.2',
'pytest-xdist>=2.2.0',
'pytest-asyncio>=0.17.0',
'pyxlsb>=1.0.9',
'qtpy>=2.2.0',
'scipy>=1.8.1',
's3fs>=2022.05.0',
'SQLAlchemy>=1.4.36',
'tables>=3.7.0',
'tabulate>=0.8.10',
'xarray>=2022.03.0',
'xlrd>=2.0.1',
'xlsxwriter>=3.0.3',
'zstandard>=0.17.0']
# TODO: Remove after setuptools support is dropped.
[tool.setuptools]
include-package-data = true
[tool.setuptools.packages.find]
include = ["pandas", "pandas.*"]
namespaces = false
[tool.setuptools.exclude-package-data]
"*" = ["*.c", "*.h"]
# 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]
setup = ['--vsenv'] # For Windows
[tool.cibuildwheel]
skip = "cp36-* cp37-* cp38-* pp* *_i686 *_ppc64le *_s390x *-musllinux_aarch64"
build-verbosity = "3"
environment = {LDFLAGS="-Wl,--strip-all"}
test-requires = "hypothesis>=6.46.1 pytest>=7.3.2 pytest-xdist>=2.2.0 pytest-asyncio>=0.17"
test-command = """
PANDAS_CI='1' 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", "-n 2", "--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.macos]
archs = "x86_64 arm64"
test-skip = "*_arm64"
[tool.cibuildwheel.windows]
before-build = "pip install delvewheel"
repair-wheel-command = "delvewheel repair -w {dest_dir} {wheel}"
[[tool.cibuildwheel.overrides]]
select = "*-musllinux*"
before-test = "apk update && apk add musl-locales"
[[tool.cibuildwheel.overrides]]
select = "*-win*"
# We test separately for Windows, since we use
# the windowsservercore docker image to check if any dlls are
# missing from the wheel
test-command = ""
[[tool.cibuildwheel.overrides]]
# Don't strip wheels on macOS.
# macOS doesn't support stripping wheels with linker
# https://github.com/MacPython/numpy-wheels/pull/87#issuecomment-624878264
select = "*-macosx*"
environment = {CFLAGS="-g0"}
[tool.black]
target-version = ['py39', 'py310']
required-version = '23.7.0'
exclude = '''
(
asv_bench/env
| \.egg
| \.git
| \.hg
| \.mypy_cache
| \.nox
| \.tox
| \.venv
| _build
| buck-out
| build
| dist
| setup.py
)
'''
[tool.ruff]
line-length = 88
target-version = "py310"
fix = true
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",
# misc lints
"PIE",
# flake8-pyi
"PYI",
# tidy imports
"TID",
# implicit string concatenation
"ISC",
# type-checking imports
"TCH",
# 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",
]
ignore = [
### Intentionally disabled
# space before : (needed for how black formats slicing)
"E203",
# module level import not at top of file
"E402",
# do not assign a lambda expression, use a def
"E731",
# line break before binary operator
# "W503", # not yet implemented
# line break after binary operator
# "W504", # not yet implemented
# controversial
"B006",
# controversial
"B007",
# controversial
"B008",
# setattr is used to side-step mypy
"B009",
# getattr is used to side-step mypy
"B010",
# tests use assert False
"B011",
# tests use comparisons but not their returned value
"B015",
# false positives
"B019",
# Loop control variable overrides iterable it iterates
"B020",
# Function definition does not bind loop variable
"B023",
# Functions defined inside a loop must not use variables redefined in the loop
# "B301", # not yet implemented
# Only works with python >=3.10
"B905",
# 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",
# Docstrings should not be included in stubs
"PYI021",
# Use `typing.NamedTuple` instead of `collections.namedtuple`
"PYI024",
# No builtin `eval()` allowed
"PGH001",
# compare-to-empty-string
"PLC1901",
# while int | float can be shortened to float, the former is more explicit
"PYI041",
# incorrect-dict-iterator, flags valid Series.items usage
"PERF102",
# try-except-in-loop, becomes useless in Python 3.11
"PERF203",
### TODO: Enable gradually
# Useless statement
"B018",
# Within an except clause, raise exceptions with ...
"B904",
# Magic number
"PLR2004",
# comparison-with-itself
"PLR0124",
# Consider `elif` instead of `else` then `if` to remove indentation level
"PLR5501",
# collection-literal-concatenation
"RUF005",
# pairwise-over-zipped (>=PY310 only)
"RUF007",
# explicit-f-string-type-conversion
"RUF010",
# mutable-class-default
"RUF012"
]
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.per-file-ignores]
# relative imports allowed for asv_bench
"asv_bench/*" = ["TID", "NPY002"]
# to be enabled gradually
"pandas/core/*" = ["PLR5501"]
"pandas/tests/*" = ["B028", "FLY"]
"scripts/*" = ["B028"]
# Keep this one enabled
"pandas/_typing.py" = ["TCH"]
[tool.pylint.messages_control]
max-line-length = 88
disable = [
# intentionally turned off
"bad-mcs-classmethod-argument",
"broad-except",
"c-extension-no-member",
"comparison-with-itself",
"consider-using-enumerate",
"import-error",
"import-outside-toplevel",
"invalid-name",
"invalid-unary-operand-type",
"line-too-long",
"no-else-continue",
"no-else-raise",
"no-else-return",
"no-member",
"no-name-in-module",
"not-an-iterable",
"overridden-final-method",
"pointless-statement",
"redundant-keyword-arg",
"singleton-comparison",
"too-many-ancestors",
"too-many-arguments",
"too-many-boolean-expressions",
"too-many-branches",
"too-many-function-args",
"too-many-instance-attributes",
"too-many-locals",
"too-many-nested-blocks",
"too-many-public-methods",
"too-many-return-statements",
"too-many-statements",
"unexpected-keyword-arg",
"ungrouped-imports",
"unsubscriptable-object",
"unsupported-assignment-operation",
"unsupported-membership-test",
"unused-import",
"use-dict-literal",
"use-implicit-booleaness-not-comparison",
"use-implicit-booleaness-not-len",
"wrong-import-order",
"wrong-import-position",
"redefined-loop-name",
# misc
"abstract-class-instantiated",
"no-value-for-parameter",
"undefined-variable",
"unpacking-non-sequence",
"used-before-assignment",
# pylint type "C": convention, for programming standard violation
"missing-class-docstring",
"missing-function-docstring",
"missing-module-docstring",
"superfluous-parens",
"too-many-lines",
"unidiomatic-typecheck",
"unnecessary-dunder-call",
"unnecessary-lambda-assignment",
# pylint type "R": refactor, for bad code smell
"consider-using-with",
"cyclic-import",
"duplicate-code",
"inconsistent-return-statements",
"redefined-argument-from-local",
"too-few-public-methods",
# pylint type "W": warning, for python specific problems
"abstract-method",
"arguments-differ",
"arguments-out-of-order",
"arguments-renamed",
"attribute-defined-outside-init",
"broad-exception-raised",
"comparison-with-callable",
"dangerous-default-value",
"deprecated-module",
"eval-used",
"expression-not-assigned",
"fixme",
"global-statement",
"invalid-overridden-method",
"keyword-arg-before-vararg",
"possibly-unused-variable",
"protected-access",
"raise-missing-from",
"redefined-builtin",
"redefined-outer-name",
"self-cls-assignment",
"signature-differs",
"super-init-not-called",
"try-except-raise",
"unnecessary-lambda",
"unused-argument",
"unused-variable",
"using-constant-test"
]
[tool.pytest.ini_options]
# sync minversion with pyproject.toml & install.rst
minversion = "7.3.2"
addopts = "--strict-markers --strict-config --capture=no --durations=30 --junitxml=test-data.xml"
empty_parameter_set_mark = "fail_at_collect"
xfail_strict = true
testpaths = "pandas"
doctest_optionflags = [
"NORMALIZE_WHITESPACE",
"IGNORE_EXCEPTION_DETAIL",
"ELLIPSIS",
]
filterwarnings = [
"error:::pandas",
"error::ResourceWarning",
"error::pytest.PytestUnraisableExceptionWarning",
"ignore:.*ssl.SSLSocket:pytest.PytestUnraisableExceptionWarning",
"ignore:.*ssl.SSLSocket:ResourceWarning",
# GH 44844: Can remove once minimum matplotlib version >= 3.7
"ignore:.*FileIO:pytest.PytestUnraisableExceptionWarning",
"ignore:.*BufferedRandom:ResourceWarning",
"ignore::ResourceWarning:asyncio",
# From plotting doctests
"ignore:More than 20 figures have been opened:RuntimeWarning",
# Will be fixed in numba 0.56: https://github.com/numba/numba/issues/7758
"ignore:`np.MachAr` is deprecated:DeprecationWarning:numba",
"ignore:.*urllib3:DeprecationWarning:botocore",
"ignore:Setuptools is replacing distutils.:UserWarning:_distutils_hack",
# https://github.com/PyTables/PyTables/issues/822
"ignore:a closed node found in the registry:UserWarning:tables",
"ignore:`np.object` is a deprecated:DeprecationWarning:tables",
"ignore:tostring:DeprecationWarning:tables",
"ignore:distutils Version classes are deprecated:DeprecationWarning:pandas_datareader",
"ignore:distutils Version classes are deprecated:DeprecationWarning:numexpr",
"ignore:distutils Version classes are deprecated:DeprecationWarning:fastparquet",
"ignore:distutils Version classes are deprecated:DeprecationWarning:fsspec",
]
junit_family = "xunit2"
markers = [
"single_cpu: tests that should run on a single cpu only",
"slow: mark a test as slow",
"network: mark a test as network",
"db: tests requiring a database (mysql or postgres)",
"clipboard: mark a pd.read_clipboard test",
"arm_slow: mark a test as slow for arm64 architecture",
"arraymanager: mark a test to run with ArrayManager enabled",
]
asyncio_mode = "strict"
[tool.mypy]
# Import discovery
mypy_path = "typings"
files = ["pandas", "typings"]
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 = "3.11"
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 = false
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._config.config", # TODO
"pandas._libs.*",
"pandas._testing.*", # TODO
"pandas.arrays", # TODO
"pandas.compat.numpy.function", # TODO
"pandas.compat._optional", # TODO
"pandas.compat.compressors", # TODO
"pandas.compat.pickle_compat", # TODO
"pandas.core._numba.executor", # TODO
"pandas.core.array_algos.datetimelike_accumulations", # TODO
"pandas.core.array_algos.masked_accumulations", # TODO
"pandas.core.array_algos.masked_reductions", # TODO
"pandas.core.array_algos.putmask", # TODO
"pandas.core.array_algos.quantile", # TODO
"pandas.core.array_algos.replace", # TODO
"pandas.core.array_algos.take", # TODO
"pandas.core.arrays.*", # TODO
"pandas.core.computation.*", # TODO
"pandas.core.dtypes.astype", # TODO
"pandas.core.dtypes.cast", # TODO
"pandas.core.dtypes.common", # TODO
"pandas.core.dtypes.concat", # TODO
"pandas.core.dtypes.dtypes", # TODO
"pandas.core.dtypes.generic", # TODO
"pandas.core.dtypes.inference", # TODO
"pandas.core.dtypes.missing", # TODO
"pandas.core.groupby.categorical", # 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.*", # TODO
"pandas.core.interchange.column", # TODO
"pandas.core.interchange.dataframe_protocol", # TODO
"pandas.core.interchange.from_dataframe", # TODO
"pandas.core.internals.*", # TODO
"pandas.core.methods.*", # TODO
"pandas.core.ops.array_ops", # TODO
"pandas.core.ops.common", # TODO
"pandas.core.ops.invalid", # TODO
"pandas.core.ops.mask_ops", # 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.online", # 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.common", # TODO
"pandas.core.config_init", # TODO
"pandas.core.construction", # TODO
"pandas.core.flags", # 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.roperator", # TODO
"pandas.core.sample", # TODO
"pandas.core.series", # TODO
"pandas.core.sorting", # TODO
"pandas.errors", # TODO
"pandas.io.clipboard", # TODO
"pandas.io.excel._base", # TODO
"pandas.io.excel._odfreader", # TODO
"pandas.io.excel._odswriter", # TODO
"pandas.io.excel._openpyxl", # TODO
"pandas.io.excel._pyxlsb", # TODO
"pandas.io.excel._xlrd", # TODO
"pandas.io.excel._xlsxwriter", # TODO
"pandas.io.formats.console", # TODO
"pandas.io.formats.css", # TODO
"pandas.io.formats.excel", # TODO
"pandas.io.formats.format", # TODO
"pandas.io.formats.info", # TODO
"pandas.io.formats.printing", # 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.common", # TODO
"pandas.io.gbq", # TODO
"pandas.io.html", # TODO
"pandas.io.gbq", # TODO
"pandas.io.parquet", # TODO
"pandas.io.pytables", # TODO
"pandas.io.sql", # TODO
"pandas.io.stata", # TODO
"pandas.io.xml", # TODO
"pandas.plotting.*", # TODO
"pandas.tests.*",
"pandas.tseries.frequencies", # TODO
"pandas.tseries.holiday", # TODO
"pandas.util._decorators", # TODO
"pandas.util._doctools", # TODO
"pandas.util._print_versions", # TODO
"pandas.util._test_decorators", # TODO
"pandas.util._validators", # TODO
"pandas.util", # TODO
"pandas._version",
"pandas.conftest",
"pandas"
]
disallow_untyped_calls = false
disallow_untyped_defs = false
disallow_incomplete_defs = false
[[tool.mypy.overrides]]
module = [
"pandas.tests.*",
"pandas._version",
"pandas.io.clipboard",
]
check_untyped_defs = false
[[tool.mypy.overrides]]
module = [
"pandas.tests.apply.test_series_apply",
"pandas.tests.arithmetic.conftest",
"pandas.tests.arrays.sparse.test_combine_concat",
"pandas.tests.dtypes.test_common",
"pandas.tests.frame.methods.test_to_records",
"pandas.tests.groupby.test_rank",
"pandas.tests.groupby.transform.test_transform",
"pandas.tests.indexes.interval.test_interval",
"pandas.tests.indexing.test_categorical",
"pandas.tests.io.excel.test_writers",
"pandas.tests.reductions.test_reductions",
"pandas.tests.test_expressions",
]
ignore_errors = true
# 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", "typings"]
exclude = ["pandas/tests", "pandas/io/clipboard", "pandas/util/version"]
# enable subset of "strict"
reportDuplicateImport = true
reportInconsistentConstructor = true
reportInvalidStubStatement = true
reportOverlappingOverload = true
reportPropertyTypeMismatch = true
reportUntypedClassDecorator = true
reportUntypedFunctionDecorator = true
reportUntypedNamedTuple = true
reportUnusedImport = true
# disable subset of "basic"
reportGeneralTypeIssues = false
reportMissingModuleSource = false
reportOptionalCall = false
reportOptionalIterable = false
reportOptionalMemberAccess = false
reportOptionalOperand = false
reportOptionalSubscript = false
reportPrivateImportUsage = false
reportUnboundVariable = false
[tool.coverage.run]
branch = true
omit = ["pandas/_typing.py", "pandas/_version.py"]
plugins = ["Cython.Coverage"]
source = ["pandas"]
[tool.coverage.report]
ignore_errors = false
show_missing = true
omit = ["pandas/_version.py"]
exclude_lines = [
# Have to re-enable the standard pragma
"pragma: no cover",
# Don't complain about missing debug-only code:s
"def __repr__",
"if self.debug",
# Don't complain if tests don't hit defensive assertion code:
"raise AssertionError",
"raise NotImplementedError",
"AbstractMethodError",
# Don't complain if non-runnable code isn't run:
"if 0:",
"if __name__ == .__main__.:",
"if TYPE_CHECKING:",
]
[tool.coverage.html]
directory = "coverage_html_report"
[tool.codespell]
ignore-words-list = "blocs, coo, hist, nd, sav, ser, recuse, nin, timere"
ignore-regex = 'https://([\w/\.])+'