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