pandas-dev-flaker 0.5.0

Description:

pandasdevflaker 0.5.0

pandas-dev-flaker
Plugin for flake8 used to contribute to pandas.
NOTE: this is not a linter meant for pandas usage, but for pandas development. If you want
a linter for pandas usage, please see pandas-vet.
installation
pip install pandas-dev-flaker
flake8 codes



Code
Description




PDF001
found import from 'collections.abc' (use 'from collections import abc')


PDF002
builtin 'filter' function used


PDF003
builtin 'exec' function used


PDF004
'foo.__class__' used, (use 'type(foo)' instead)


PDF005
leading space in concatenated strings


PDF006
Found '{foo!r}' formatted value (instead, use 'repr(foo)')


PDF007
line split in two unnecessarily by 'black' formatter


PDF008
found 'os.remove' (use 'tm.ensure_clean' instead)


PDF009
'pytest.raises' used without 'match='


PDF010
'pytest.raises' used outside of context manager


PDF011
found 'pytest.warns' (use 'pandas._testing.assert_produces_warning')


PDF012
found 'pytest.xfail' (use 'pytest.mark.xfail' instead)


PDF013
import from 'conftest' found


PDF014
found import from 'pandas._testing' (use 'import pandas._testing as tm')


PDF015
from import from 'pandas.testing' (use 'import pandas._testing as tm')


PDF016
found 'unittest.mock' (use 'pytest.monkeypatch' instead)


PDF017
'pd.api.types' used (import from 'pandas.api.types' instead)


PDF018
'common' imported from 'pandas.core' without 'com' alias


PDF019
found both 'pd.foo' and 'foo' in the same file


PDF020
found private import across modules


PDF021
found 'np.bool' or 'np.object' (use 'np.bool_' or 'np.object_' instead)


PDF022
found import from 'numpy.random'


PDF023
found assignment to single-letter variable


PDF024
found string join() with generator expressions


PDF025
found 'np.testing' or 'np.array_equal' (use 'pandas._testing' instead)


PDF026
found union between Series and AnyArrayLike in type hint



contributing
See contributing.md for how to get started.
Each new linting rule should be its own file inside pandas-dev-flaker/_plugins. Please linting rule should have two sets of tests in pandas-dev-flaker/tests - one for when the linting rule is expected to pass, and another for when it's expected to fail.
credit
Several methods are simplified versions of methods from pyupgrade. Some of the checks were taken from the pandas repo. Please find both their licenses in the LICENSES folder.
as a pre-commit hook
See pre-commit for instructions
Sample .pre-commit-config.yaml:
- repo: https://github.com/pycqa/flake8
rev: 3.9.0
hooks:
- id: flake8
additional_dependencies: [pandas-dev-flaker==0.5.0]