How to use function_check_input_output_invalid 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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...449 df["b"] = df["a"] + 1450 return df451 @pa.check_input(in_schema)452 @pa.check_output(out_schema)453 def function_check_input_output_invalid(df: ks.DataFrame) -> ks.DataFrame:454 return df455 @pa.check_io(df=in_schema, out=out_schema)456 def function_check_io(df: ks.DataFrame) -> ks.DataFrame:457 df["b"] = df["a"] + 1458 return df459 @pa.check_io(df=in_schema, out=out_schema)460 def function_check_io_invalid(df: ks.DataFrame) -> ks.DataFrame:461 return df462 @pa.check_types463 def function_check_types(464 df: pa.typing.koalas.DataFrame[InSchema],465 ) -> pa.typing.koalas.DataFrame[OutSchema]:466 df["b"] = df["a"] + 1467 return df...

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test_schemas_on_modin.py

Source:test_schemas_on_modin.py Github

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...363 df["b"] = df["a"] + 1364 return df365 @pa.check_input(in_schema)366 @pa.check_output(out_schema)367 def function_check_input_output_invalid(368 df: mpd.DataFrame,369 ) -> mpd.DataFrame:370 return df371 @pa.check_io(df=in_schema, out=out_schema)372 def function_check_io(df: mpd.DataFrame) -> mpd.DataFrame:373 df["b"] = df["a"] + 1374 return df375 @pa.check_io(df=in_schema, out=out_schema)376 def function_check_io_invalid(df: mpd.DataFrame) -> mpd.DataFrame:377 return df378 @pa.check_types379 def function_check_types(380 df: pa.typing.modin.DataFrame[InSchema],381 ) -> pa.typing.modin.DataFrame[OutSchema]:...

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