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import os
import pytest
import pandas
import numpy as np
import pandas as pd
from pandas.compat import PY3
import pandas.util._test_decorators as td
def pytest_addoption(parser):
parser.addoption("--skip-slow", action="store_true",
help="skip slow tests")
parser.addoption("--skip-network", action="store_true",
help="skip network tests")
parser.addoption("--run-high-memory", action="store_true",
help="run high memory tests")
parser.addoption("--only-slow", action="store_true",
help="run only slow tests")
parser.addoption("--strict-data-files", action="store_true",
help="Fail if a test is skipped for missing data file.")
def pytest_runtest_setup(item):
if 'slow' in item.keywords and item.config.getoption("--skip-slow"):
pytest.skip("skipping due to --skip-slow")
if 'slow' not in item.keywords and item.config.getoption("--only-slow"):
pytest.skip("skipping due to --only-slow")
if 'network' in item.keywords and item.config.getoption("--skip-network"):
pytest.skip("skipping due to --skip-network")
if 'high_memory' in item.keywords and not item.config.getoption(
"--run-high-memory"):
pytest.skip(
"skipping high memory test since --run-high-memory was not set")
# Configurations for all tests and all test modules
@pytest.fixture(autouse=True)
def configure_tests():
pd.set_option('chained_assignment', 'raise')
# For running doctests: make np and pd names available
@pytest.fixture(autouse=True)
def add_imports(doctest_namespace):
doctest_namespace['np'] = np
doctest_namespace['pd'] = pd
@pytest.fixture(params=['bsr', 'coo', 'csc', 'csr', 'dia', 'dok', 'lil'])
def spmatrix(request):
from scipy import sparse
return getattr(sparse, request.param + '_matrix')
@pytest.fixture
def ip():
"""
Get an instance of IPython.InteractiveShell.
Will raise a skip if IPython is not installed.
"""
pytest.importorskip('IPython', minversion="6.0.0")
from IPython.core.interactiveshell import InteractiveShell
return InteractiveShell()
@pytest.fixture(params=[True, False, None])
def observed(request):
""" pass in the observed keyword to groupby for [True, False]
This indicates whether categoricals should return values for
values which are not in the grouper [False / None], or only values which
appear in the grouper [True]. [None] is supported for future compatiblity
if we decide to change the default (and would need to warn if this
parameter is not passed)"""
return request.param
_all_arithmetic_operators = ['__add__', '__radd__',
'__sub__', '__rsub__',
'__mul__', '__rmul__',
'__floordiv__', '__rfloordiv__',
'__truediv__', '__rtruediv__',
'__pow__', '__rpow__']
if not PY3:
_all_arithmetic_operators.extend(['__div__', '__rdiv__'])
@pytest.fixture(params=_all_arithmetic_operators)
def all_arithmetic_operators(request):
"""
Fixture for dunder names for common arithmetic operations
"""
return request.param
@pytest.fixture(params=[None, 'gzip', 'bz2', 'zip',
pytest.param('xz', marks=td.skip_if_no_lzma)])
def compression(request):
"""
Fixture for trying common compression types in compression tests
"""
return request.param
@pytest.fixture(params=['gzip', 'bz2', 'zip',
pytest.param('xz', marks=td.skip_if_no_lzma)])
def compression_only(request):
"""
Fixture for trying common compression types in compression tests excluding
uncompressed case
"""
return request.param
@pytest.fixture(scope='module')
def datetime_tz_utc():
from datetime import timezone
return timezone.utc
@pytest.fixture(params=['inner', 'outer', 'left', 'right'])
def join_type(request):
"""
Fixture for trying all types of join operations
"""
return request.param
@pytest.fixture
def datapath(request):
"""Get the path to a data file.
Parameters
----------
path : str
Path to the file, relative to ``pandas/tests/``
Returns
-------
path : path including ``pandas/tests``.
Raises
------
ValueError
If the path doesn't exist and the --strict-data-files option is set.
"""
def deco(*args):
path = os.path.join('pandas', 'tests', *args)
if not os.path.exists(path):
if request.config.getoption("--strict-data-files"):
msg = "Could not find file {} and --strict-data-files is set."
raise ValueError(msg.format(path))
else:
msg = "Could not find {}."
pytest.skip(msg.format(path))
return path
return deco
@pytest.fixture
def iris(datapath):
"""The iris dataset as a DataFrame."""
return pandas.read_csv(datapath('data', 'iris.csv'))
@pytest.fixture(params=['nlargest', 'nsmallest'])
def nselect_method(request):
"""
Fixture for trying all nselect methods
"""
return request.param
@pytest.fixture(params=[None, np.nan, pd.NaT, float('nan'), np.float('NaN')])
def nulls_fixture(request):
"""
Fixture for each null type in pandas
"""
return request.param
nulls_fixture2 = nulls_fixture # Generate cartesian product of nulls_fixture
TIMEZONES = [None, 'UTC', 'US/Eastern', 'Asia/Tokyo', 'dateutil/US/Pacific']
@td.parametrize_fixture_doc(str(TIMEZONES))
@pytest.fixture(params=TIMEZONES)
def tz_naive_fixture(request):
"""
Fixture for trying timezones including default (None): {0}
"""
return request.param
@td.parametrize_fixture_doc(str(TIMEZONES[1:]))
@pytest.fixture(params=TIMEZONES[1:])
def tz_aware_fixture(request):
"""
Fixture for trying explicit timezones: {0}
"""
return request.param
@pytest.fixture(params=[str, 'str', 'U'])
def string_dtype(request):
"""Parametrized fixture for string dtypes.
* str
* 'str'
* 'U'
"""
return request.param
@pytest.fixture(params=["float32", "float64"])
def float_dtype(request):
"""
Parameterized fixture for float dtypes.
* float32
* float64
"""
return request.param
UNSIGNED_INT_DTYPES = ["uint8", "uint16", "uint32", "uint64"]
SIGNED_INT_DTYPES = ["int8", "int16", "int32", "int64"]
ALL_INT_DTYPES = UNSIGNED_INT_DTYPES + SIGNED_INT_DTYPES
@pytest.fixture(params=SIGNED_INT_DTYPES)
def sint_dtype(request):
"""
Parameterized fixture for signed integer dtypes.
* int8
* int16
* int32
* int64
"""
return request.param
@pytest.fixture(params=UNSIGNED_INT_DTYPES)
def uint_dtype(request):
"""
Parameterized fixture for unsigned integer dtypes.
* uint8
* uint16
* uint32
* uint64
"""
return request.param
@pytest.fixture(params=ALL_INT_DTYPES)
def any_int_dtype(request):
"""
Parameterized fixture for any integer dtypes.
* int8
* uint8
* int16
* uint16
* int32
* uint32
* int64
* uint64
"""
return request.param