Best Python code snippet using pandera_python
test_dtypes.py
Source: test_dtypes.py
...351 data = pd.Series([1, None], dtype="Int32")352 coerced = pandas_engine.Engine.dtype(str).coerce(data).to_list()353 assert isinstance(coerced[0], str)354 assert pd.isna(coerced[1])355def test_default_numeric_dtypes():356 """357 Test that default numeric dtypes int, float and complex are consistent.358 """359 default_int_dtype = pd.Series([1]).dtype360 assert (361 pandas_engine.Engine.dtype(default_int_dtype)362 == pandas_engine.Engine.dtype(int)363 == pandas_engine.Engine.dtype("int")364 )365 default_float_dtype = pd.Series([1.0]).dtype366 assert (367 pandas_engine.Engine.dtype(default_float_dtype)368 == pandas_engine.Engine.dtype(float)369 == pandas_engine.Engine.dtype("float")...
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