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How to use register_check_method method in pandera

Best Python code snippet using pandera_python

schema.py

Source:schema.py

...7import pandas as pd8import pandera as pa9import pandera.extensions as extensions10from pandera import Check, Column, DataFrameSchema11@extensions.register_check_method(12    statistics=["val"],13    check_type="element_wise",14)15def date_length(element, *, val):16    """17    Element-wise check of value lengths18    """19    return len(element) == val20@extensions.register_check_method(21    statistics=["val"],22    check_type="element_wise",23)24def ssn_length(element, *, min_value, max_value):25    """26    Element-wise check of values between min_value and max_value27    """28    return (min_value <= element) & (element <= max_value)29example_schema = DataFrameSchema(30    columns={31        "SSN": Column(32            int,33            checks=Check.ssn_length(min_value=1_01_0001, max_value=999_99_9999),34        ),...

checks.py

Source:checks.py

1import decimal2import pandas as pd3from pandera.extensions import register_check_method4@register_check_method(check_type="element_wise")5def is_numeric(value, *args):6    return is_numeric_fn(value)7def is_numeric_fn(value):8    return pd.notnull(pd.to_numeric(value, errors="coerce"))9@register_check_method(check_type="element_wise")10def is_decimal(value, *args):11    return is_decimal_fn(value)12def is_decimal_fn(value):13    return isinstance(value, decimal.Decimal)14@register_check_method(check_type="element_wise")15def is_active(value, *args):16    return is_active_fn(value)17def is_active_fn(value):...

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