53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
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"""Test the covtype 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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from functools import partial
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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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def test_fetch(fetch_covtype_fxt):
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data1 = fetch_covtype_fxt(shuffle=True, random_state=42)
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data2 = fetch_covtype_fxt(shuffle=True, random_state=37)
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X1, X2 = data1["data"], data2["data"]
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assert (581012, 54) == X1.shape
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assert X1.shape == X2.shape
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assert X1.sum() == X2.sum()
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y1, y2 = data1["target"], data2["target"]
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assert (X1.shape[0],) == y1.shape
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assert (X1.shape[0],) == y2.shape
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descr_prefix = ".. _covtype_dataset:"
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assert data1.DESCR.startswith(descr_prefix)
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assert data2.DESCR.startswith(descr_prefix)
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# test return_X_y option
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fetch_func = partial(fetch_covtype_fxt)
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check_return_X_y(data1, fetch_func)
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def test_fetch_asframe(fetch_covtype_fxt):
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pytest.importorskip("pandas")
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bunch = fetch_covtype_fxt(as_frame=True)
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assert hasattr(bunch, "frame")
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frame = bunch.frame
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assert frame.shape == (581012, 55)
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assert bunch.data.shape == (581012, 54)
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assert bunch.target.shape == (581012,)
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column_names = set(frame.columns)
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# enumerated names are added correctly
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assert set(f"Wilderness_Area_{i}" for i in range(4)) < column_names
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assert set(f"Soil_Type_{i}" for i in range(40)) < column_names
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def test_pandas_dependency_message(fetch_covtype_fxt, hide_available_pandas):
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expected_msg = "fetch_covtype with as_frame=True requires pandas"
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with pytest.raises(ImportError, match=expected_msg):
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fetch_covtype_fxt(as_frame=True)
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