forked from pandas-dev/pandas
/
setup.cfg
340 lines (255 loc) · 8.1 KB
/
setup.cfg
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# 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.
[versioneer]
VCS = git
style = pep440
versionfile_source = pandas/_version.py
versionfile_build = pandas/_version.py
tag_prefix = v
parentdir_prefix = pandas-
[flake8]
max-line-length = 88
ignore =
E203, # space before : (needed for how black formats slicing)
W503, # line break before binary operator
W504, # line break after binary operator
E402, # module level import not at top of file
E731, # do not assign a lambda expression, use a def
C406, # Unnecessary list literal - rewrite as a dict literal.
C408, # Unnecessary dict call - rewrite as a literal.
C409, # Unnecessary list passed to tuple() - rewrite as a tuple literal.
S001 # found modulo formatter (incorrect picks up mod operations)
exclude =
doc/sphinxext/*.py,
doc/build/*.py,
doc/temp/*.py,
.eggs/*.py,
versioneer.py,
env # exclude asv benchmark environments from linting
[flake8-rst]
bootstrap =
import numpy as np
import pandas as pd
np # avoiding error when importing again numpy or pandas
pd # (in some cases we want to do it to show users)
ignore = E402, # module level import not at top of file
W503, # line break before binary operator
# Classes/functions in different blocks can generate those errors
E302, # expected 2 blank lines, found 0
E305, # expected 2 blank lines after class or function definition, found 0
# We use semicolon at the end to avoid displaying plot objects
E703, # statement ends with a semicolon
E711, # comparison to none should be 'if cond is none:'
exclude =
doc/source/development/contributing_docstring.rst
[tool:pytest]
# sync minversion with setup.cfg & install.rst
minversion = 4.0.2
testpaths = pandas
markers =
single: mark a test as single cpu only
slow: mark a test as slow
network: mark a test as network
db: tests requiring a database (mysql or postgres)
high_memory: mark a test as a high-memory only
clipboard: mark a pd.read_clipboard test
doctest_optionflags = NORMALIZE_WHITESPACE IGNORE_EXCEPTION_DETAIL
addopts = --strict-data-files
xfail_strict = True
filterwarnings =
error:Sparse:FutureWarning
error:The SparseArray:FutureWarning
junit_family=xunit2
[coverage:run]
branch = False
omit =
*/tests/*
pandas/_typing.py
pandas/_version.py
plugins = Cython.Coverage
[coverage:report]
ignore_errors = False
show_missing = True
omit =
pandas/_version.py
# Regexes for lines to exclude from consideration
exclude_lines =
# Have to re-enable the standard pragma
pragma: no cover
# Don't complain about missing debug-only code:
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__.:
[coverage:html]
directory = coverage_html_report
# To be kept consistent with "Import Formatting" section in contributing.rst
[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
known_first_party = pandas
known_third_party = _pytest,announce,dateutil,docutils,flake8,git,hypothesis,jinja2,lxml,matplotlib,numpy,numpydoc,pkg_resources,pyarrow,pytest,pytz,requests,scipy,setuptools,sphinx,sqlalchemy,validate_docstrings,yaml,odf
multi_line_output = 3
include_trailing_comma = True
force_grid_wrap = 0
combine_as_imports = True
line_length = 88
force_sort_within_sections = True
skip_glob = env,
skip = pandas/__init__.py,pandas/core/api.py
[mypy]
ignore_missing_imports=True
no_implicit_optional=True
check_untyped_defs=True
strict_equality=True
[mypy-pandas.tests.*]
check_untyped_defs=False
[mypy-pandas.conftest]
ignore_errors=True
[mypy-pandas.tests.arithmetic.test_datetime64]
ignore_errors=True
[mypy-pandas.tests.extension.decimal.test_decimal]
ignore_errors=True
[mypy-pandas.tests.extension.json.array]
ignore_errors=True
[mypy-pandas.tests.extension.json.test_json]
ignore_errors=True
[mypy-pandas.tests.indexes.datetimes.test_tools]
ignore_errors=True
[mypy-pandas.tests.scalar.period.test_period]
ignore_errors=True
[mypy-pandas._version]
check_untyped_defs=False
[mypy-pandas.core.arrays.categorical]
check_untyped_defs=False
[mypy-pandas.core.arrays.interval]
check_untyped_defs=False
[mypy-pandas.core.arrays.sparse.array]
check_untyped_defs=False
[mypy-pandas.core.base]
check_untyped_defs=False
[mypy-pandas.core.computation.expr]
check_untyped_defs=False
[mypy-pandas.core.computation.expressions]
check_untyped_defs=False
[mypy-pandas.core.computation.ops]
check_untyped_defs=False
[mypy-pandas.core.computation.pytables]
check_untyped_defs=False
[mypy-pandas.core.computation.scope]
check_untyped_defs=False
[mypy-pandas.core.dtypes.cast]
check_untyped_defs=False
[mypy-pandas.core.frame]
check_untyped_defs=False
[mypy-pandas.core.generic]
check_untyped_defs=False
[mypy-pandas.core.groupby.generic]
check_untyped_defs=False
[mypy-pandas.core.groupby.grouper]
check_untyped_defs=False
[mypy-pandas.core.groupby.ops]
check_untyped_defs=False
[mypy-pandas.core.indexes.base]
check_untyped_defs=False
[mypy-pandas.core.indexes.datetimelike]
check_untyped_defs=False
[mypy-pandas.core.indexes.datetimes]
check_untyped_defs=False
[mypy-pandas.core.indexes.interval]
check_untyped_defs=False
[mypy-pandas.core.indexes.multi]
check_untyped_defs=False
[mypy-pandas.core.indexing]
check_untyped_defs=False
[mypy-pandas.core.internals.blocks]
check_untyped_defs=False
[mypy-pandas.core.internals.concat]
check_untyped_defs=False
[mypy-pandas.core.internals.construction]
check_untyped_defs=False
[mypy-pandas.core.internals.managers]
check_untyped_defs=False
[mypy-pandas.core.missing]
check_untyped_defs=False
[mypy-pandas.core.nanops]
check_untyped_defs=False
[mypy-pandas.core.ops.docstrings]
check_untyped_defs=False
[mypy-pandas.core.resample]
check_untyped_defs=False
[mypy-pandas.core.reshape.merge]
check_untyped_defs=False
[mypy-pandas.core.reshape.reshape]
check_untyped_defs=False
[mypy-pandas.core.strings]
check_untyped_defs=False
[mypy-pandas.core.tools.datetimes]
check_untyped_defs=False
[mypy-pandas.core.window.common]
check_untyped_defs=False
[mypy-pandas.core.window.ewm]
check_untyped_defs=False
[mypy-pandas.core.window.expanding]
check_untyped_defs=False
[mypy-pandas.core.window.rolling]
check_untyped_defs=False
[mypy-pandas.io.clipboard]
check_untyped_defs=False
[mypy-pandas.io.excel._base]
check_untyped_defs=False
[mypy-pandas.io.excel._openpyxl]
check_untyped_defs=False
[mypy-pandas.io.excel._util]
check_untyped_defs=False
[mypy-pandas.io.excel._xlwt]
check_untyped_defs=False
[mypy-pandas.io.formats.console]
check_untyped_defs=False
[mypy-pandas.io.formats.css]
check_untyped_defs=False
[mypy-pandas.io.formats.excel]
check_untyped_defs=False
[mypy-pandas.io.formats.format]
check_untyped_defs=False
[mypy-pandas.io.formats.style]
check_untyped_defs=False
[mypy-pandas.io.html]
check_untyped_defs=False
[mypy-pandas.io.json._json]
check_untyped_defs=False
[mypy-pandas.io.json._table_schema]
check_untyped_defs=False
[mypy-pandas.io.parsers]
check_untyped_defs=False
[mypy-pandas.io.pytables]
check_untyped_defs=False
[mypy-pandas.io.sas.sas_xport]
check_untyped_defs=False
[mypy-pandas.io.sas.sas7bdat]
check_untyped_defs=False
[mypy-pandas.io.sas.sasreader]
check_untyped_defs=False
[mypy-pandas.io.stata]
check_untyped_defs=False
[mypy-pandas.plotting._matplotlib.converter]
check_untyped_defs=False
[mypy-pandas.plotting._matplotlib.core]
check_untyped_defs=False
[mypy-pandas.plotting._matplotlib.misc]
check_untyped_defs=False
[mypy-pandas.tseries.holiday]
check_untyped_defs=False
[mypy-pandas.tseries.offsets]
check_untyped_defs=False
[mypy-pandas._testing]
check_untyped_defs=False