def test_load_error():
import warnings
warnings.filterwarnings("error")
df = pd.DataFrame({
"a": [1, 2, 3, 1, 1, 1],
"b": [1, 2, 3, 4, 5, 6],
"c": [1, 2, 3, 4, 5, 6]
})
profile1 = ProfileReport(df, minimal=True)
data = profile1.dumps()
# config not match but ignore_config
ProfileReport.clear_config()
ProfileReport(df, minimal=False).loads(data, ignore_config=True)
# df not match
with pytest.raises(ValueError) as e:
ProfileReport.clear_config()
ProfileReport(df=df[["a", "b"]][:],
minimal=True).loads(data, ignore_config=True)
assert str(
e.value) == "DataFrame does not match with the current ProfileReport."
