37 lines
1.3 KiB
Python
37 lines
1.3 KiB
Python
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"""Test the california_housing loader, if the data is available,
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or if specifically requested via environment variable
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(e.g. for CI jobs)."""
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import pytest
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from sklearn.datasets.tests.test_common import check_return_X_y
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from functools import partial
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def test_fetch(fetch_california_housing_fxt):
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data = fetch_california_housing_fxt()
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assert (20640, 8) == data.data.shape
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assert (20640,) == data.target.shape
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assert data.DESCR.startswith(".. _california_housing_dataset:")
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# test return_X_y option
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fetch_func = partial(fetch_california_housing_fxt)
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check_return_X_y(data, fetch_func)
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def test_fetch_asframe(fetch_california_housing_fxt):
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pd = pytest.importorskip("pandas")
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bunch = fetch_california_housing_fxt(as_frame=True)
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frame = bunch.frame
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assert hasattr(bunch, "frame") is True
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assert frame.shape == (20640, 9)
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assert isinstance(bunch.data, pd.DataFrame)
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assert isinstance(bunch.target, pd.Series)
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def test_pandas_dependency_message(fetch_california_housing_fxt, hide_available_pandas):
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# Check that pandas is imported lazily and that an informative error
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# message is raised when pandas is missing:
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expected_msg = "fetch_california_housing with as_frame=True requires pandas"
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with pytest.raises(ImportError, match=expected_msg):
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fetch_california_housing_fxt(as_frame=True)
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