73 lines
1.6 KiB
Python
73 lines
1.6 KiB
Python
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import itertools
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import numpy as np
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import pytest
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from pandas import (
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DataFrame,
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Series,
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notna,
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)
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def create_series():
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return [
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Series(dtype=np.float64, name="a"),
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Series([np.nan] * 5),
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Series([1.0] * 5),
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Series(range(5, 0, -1)),
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Series(range(5)),
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Series([np.nan, 1.0, np.nan, 1.0, 1.0]),
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Series([np.nan, 1.0, np.nan, 2.0, 3.0]),
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Series([np.nan, 1.0, np.nan, 3.0, 2.0]),
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]
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def create_dataframes():
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return [
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DataFrame(columns=["a", "a"]),
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DataFrame(np.arange(15).reshape((5, 3)), columns=["a", "a", 99]),
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] + [DataFrame(s) for s in create_series()]
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def is_constant(x):
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values = x.values.ravel("K")
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return len(set(values[notna(values)])) == 1
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@pytest.fixture(
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params=(
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obj
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for obj in itertools.chain(create_series(), create_dataframes())
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if is_constant(obj)
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),
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)
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def consistent_data(request):
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return request.param
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@pytest.fixture(params=create_series())
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def series_data(request):
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return request.param
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@pytest.fixture(params=itertools.chain(create_series(), create_dataframes()))
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def all_data(request):
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"""
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Test:
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- Empty Series / DataFrame
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- All NaN
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- All consistent value
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- Monotonically decreasing
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- Monotonically increasing
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- Monotonically consistent with NaNs
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- Monotonically increasing with NaNs
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- Monotonically decreasing with NaNs
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"""
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return request.param
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@pytest.fixture(params=[0, 2])
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def min_periods(request):
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return request.param
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