You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
79 lines
1.7 KiB
79 lines
1.7 KiB
import itertools
|
|
|
|
import numpy as np
|
|
import pytest
|
|
|
|
from pandas import (
|
|
DataFrame,
|
|
Series,
|
|
notna,
|
|
)
|
|
|
|
|
|
def create_series():
|
|
return [
|
|
Series(dtype=np.float64, name="a"),
|
|
Series([np.nan] * 5),
|
|
Series([1.0] * 5),
|
|
Series(range(5, 0, -1)),
|
|
Series(range(5)),
|
|
Series([np.nan, 1.0, np.nan, 1.0, 1.0]),
|
|
Series([np.nan, 1.0, np.nan, 2.0, 3.0]),
|
|
Series([np.nan, 1.0, np.nan, 3.0, 2.0]),
|
|
]
|
|
|
|
|
|
def create_dataframes():
|
|
return [
|
|
DataFrame(columns=["a", "a"]),
|
|
DataFrame(np.arange(15).reshape((5, 3)), columns=["a", "a", 99]),
|
|
] + [DataFrame(s) for s in create_series()]
|
|
|
|
|
|
def is_constant(x):
|
|
values = x.values.ravel("K")
|
|
return len(set(values[notna(values)])) == 1
|
|
|
|
|
|
@pytest.fixture(
|
|
params=(
|
|
obj
|
|
for obj in itertools.chain(create_series(), create_dataframes())
|
|
if is_constant(obj)
|
|
),
|
|
scope="module",
|
|
)
|
|
def consistent_data(request):
|
|
return request.param
|
|
|
|
|
|
@pytest.fixture(params=create_series())
|
|
def series_data(request):
|
|
return request.param
|
|
|
|
|
|
@pytest.fixture(params=itertools.chain(create_series(), create_dataframes()))
|
|
def all_data(request):
|
|
"""
|
|
Test:
|
|
- Empty Series / DataFrame
|
|
- All NaN
|
|
- All consistent value
|
|
- Monotonically decreasing
|
|
- Monotonically increasing
|
|
- Monotonically consistent with NaNs
|
|
- Monotonically increasing with NaNs
|
|
- Monotonically decreasing with NaNs
|
|
"""
|
|
return request.param
|
|
|
|
|
|
@pytest.fixture(params=[(1, 0), (5, 1)])
|
|
def rolling_consistency_cases(request):
|
|
"""window, min_periods"""
|
|
return request.param
|
|
|
|
|
|
@pytest.fixture(params=[0, 2])
|
|
def min_periods(request):
|
|
return request.param
|
|
|