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How to use fn_pipe_dataframe method in pandera

Best Python code snippet using pandera_python

pandas_dataframe.py

Source:pandas_dataframe.py

...35# expected "pandera.typing.pandas.DataFrame[Schema]"  [arg-type]36fn(another_df)  # mypy error37# error: Argument 1 to "fn" has incompatible type "DataFrame[AnotherSchema]";38# expected "DataFrame[Schema]"  [arg-type]39def fn_pipe_dataframe(df: DataFrame[Schema]) -> DataFrame[SchemaOut]:40    return df.assign(age=30).pipe(DataFrame[SchemaOut])  # mypy okay41def fn_cast_dataframe(df: DataFrame[Schema]) -> DataFrame[SchemaOut]:42    return cast(DataFrame[SchemaOut], df.assign(age=30))  # mypy okay43@pa.check_types44def fn_mutate_inplace(df: DataFrame[Schema]) -> DataFrame[SchemaOut]:45    out = df.assign(age=30).pipe(DataFrame[SchemaOut])46    out.drop(["age"], axis=1, inplace=True)47    return out  # okay for mypy, pandera raises error48@pa.check_types49def fn_assign_and_get_index(df: DataFrame[Schema]) -> DataFrame[SchemaOut]:50    return df.assign(foo=30).iloc[:3]  # okay for mypy, pandera raises error51@pa.check_types52def fn_cast_dataframe_invalid(df: DataFrame[Schema]) -> DataFrame[SchemaOut]:53    return cast(...

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