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How to use test_index_dtypes method in pandera

Best Python code snippet using pandera_python

test_schemas_on_koalas.py

Source:test_schemas_on_koalas.py

...164)165@pytest.mark.parametrize("coerce", [True, False])166@pytest.mark.parametrize("schema_cls", [pa.Index, pa.MultiIndex])167@hypothesis.given(st.data())168def test_index_dtypes(169    dtype: pandas_engine.DataType,170    coerce: bool,171    schema_cls,172    data: st.DataObject,173):174    """Test koalas Index and MultiIndex on subset of datatypes.175    Only test basic datatypes since index handling in pandas is already a176    little finicky.177    """178    if coerce and dtype is pandas_engine.DateTime:179        pytest.skip(180            "koalas cannot coerce a koalas DateTime index to datetime."181        )182    if schema_cls is pa.Index:...

test_schemas_on_modin.py

Source:test_schemas_on_modin.py

...137)138@pytest.mark.parametrize("coerce", [True, False])139@pytest.mark.parametrize("schema_cls", [pa.Index, pa.MultiIndex])140@hypothesis.given(st.data())141def test_index_dtypes(142    dtype: pandas_engine.DataType,143    coerce: bool,144    schema_cls,145    data: st.DataObject,146):147    """Test modin Index and MultiIndex on subset of datatypes.148    Only test basic datatypes since index handling in pandas is already a149    little finicky.150    """151    if schema_cls is pa.Index:152        schema = schema_cls(dtype, name="field", coerce=coerce)153    else:154        schema = schema_cls(indexes=[pa.Index(dtype, name="field")])155        schema.coerce = coerce...

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