How to use test_pandas_category_dtype_error method in pandera

Best Python code snippet using pandera_python

test_pandas_engine.py

Source:test_pandas_engine.py Github

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...53 for _, value in data.iteritems():54 coerced_value = dtype.coerce_value(value)55 assert coerced_value in CATEGORIES56@given(st.lists(st.sampled_from(["X", "Y", "Z"]), min_size=5))57def test_pandas_category_dtype_error(data):58 """Test pandas_engine.Category raises TypeErrors on invalid data."""59 data = pd.Series(data)60 dtype = pandas_engine.Category(CATEGORIES)61 with pytest.raises(TypeError):62 dtype.coerce(data)63 for _, value in data.iteritems():64 with pytest.raises(TypeError):65 dtype.coerce_value(value)66@given(st.lists(st.sampled_from([1, 0, 1.0, 0.0, True, False]), min_size=5))67def test_pandas_boolean_native_type(data):68 """Test native pandas bool type correctly coerces valid bool-like data."""69 data = pd.Series(data)70 dtype = pandas_engine.Engine.dtype("boolean")71 # the BooleanDtype can't handle Series of non-boolean, mixed dtypes...

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