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