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49 lines
1.1 KiB
49 lines
1.1 KiB
1 year ago
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import numpy as np
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import pytest
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import pandas as pd
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from pandas.core.arrays.floating import (
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Float32Dtype,
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Float64Dtype,
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)
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@pytest.fixture(params=[Float32Dtype, Float64Dtype])
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def dtype(request):
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"""Parametrized fixture returning a float 'dtype'"""
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return request.param()
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@pytest.fixture
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def data(dtype):
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"""Fixture returning 'data' array according to parametrized float 'dtype'"""
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return pd.array(
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list(np.arange(0.1, 0.9, 0.1))
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+ [pd.NA]
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+ list(np.arange(1, 9.8, 0.1))
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+ [pd.NA]
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+ [9.9, 10.0],
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dtype=dtype,
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)
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@pytest.fixture
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def data_missing(dtype):
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"""
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Fixture returning array with missing data according to parametrized float
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'dtype'.
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"""
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return pd.array([np.nan, 0.1], dtype=dtype)
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@pytest.fixture(params=["data", "data_missing"])
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def all_data(request, data, data_missing):
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"""Parametrized fixture returning 'data' or 'data_missing' float arrays.
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Used to test dtype conversion with and without missing values.
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"""
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if request.param == "data":
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return data
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elif request.param == "data_missing":
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return data_missing
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