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 Github

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...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:...

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test_schemas_on_modin.py

Source:test_schemas_on_modin.py Github

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...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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