69 lines
1.5 KiB
Python
69 lines
1.5 KiB
Python
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.integer import (
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Int8Dtype,
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Int16Dtype,
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Int32Dtype,
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Int64Dtype,
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UInt8Dtype,
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UInt16Dtype,
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UInt32Dtype,
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UInt64Dtype,
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)
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@pytest.fixture(
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params=[
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Int8Dtype,
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Int16Dtype,
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Int32Dtype,
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Int64Dtype,
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UInt8Dtype,
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UInt16Dtype,
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UInt32Dtype,
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UInt64Dtype,
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]
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)
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def dtype(request):
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"""Parametrized fixture returning integer '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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"""
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Fixture returning 'data' array with valid and missing values according to
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parametrized integer 'dtype'.
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Used to test dtype conversion with and without missing values.
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"""
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return pd.array(
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list(range(8)) + [np.nan] + list(range(10, 98)) + [np.nan] + [99, 100],
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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 exactly one NaN and one valid integer,
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according to parametrized integer 'dtype'.
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Used to test dtype conversion with and without missing values.
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"""
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return pd.array([np.nan, 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' integer 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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