Inzynierka_Gwiazdy/machine_learning/Lib/site-packages/pandas/tests/indexes/conftest.py
2023-09-20 19:46:58 +02:00

62 lines
1.4 KiB
Python

import numpy as np
import pytest
from pandas import (
Series,
array,
)
import pandas._testing as tm
@pytest.fixture(params=[None, False])
def sort(request):
"""
Valid values for the 'sort' parameter used in the Index
setops methods (intersection, union, etc.)
Caution:
Don't confuse this one with the "sort" fixture used
for DataFrame.append or concat. That one has
parameters [True, False].
We can't combine them as sort=True is not permitted
in the Index setops methods.
"""
return request.param
@pytest.fixture(params=["D", "3D", "-3D", "H", "2H", "-2H", "T", "2T", "S", "-3S"])
def freq_sample(request):
"""
Valid values for 'freq' parameter used to create date_range and
timedelta_range..
"""
return request.param
@pytest.fixture(params=[list, tuple, np.array, array, Series])
def listlike_box(request):
"""
Types that may be passed as the indexer to searchsorted.
"""
return request.param
@pytest.fixture(
params=tm.ALL_REAL_NUMPY_DTYPES
+ [
"object",
"category",
"datetime64[ns]",
"timedelta64[ns]",
]
)
def any_dtype_for_small_pos_integer_indexes(request):
"""
Dtypes that can be given to an Index with small positive integers.
This means that for any dtype `x` in the params list, `Index([1, 2, 3], dtype=x)` is
valid and gives the correct Index (sub-)class.
"""
return request.param