INNER CODE UNIT · Python

validate_age

balapriyac/data-science-tutorials · build-with-python/data-cleaning-n-validation-pipeline/main.py:15

    def validate_age(cls, v):
        if v is not None and (v < 0 or v > 120):
            raise ValueError('Age must be between 0 and 120')
        return v
    
    @field_validator('email')
    @classmethod
    def validate_email(cls, v):
        if v and '@' not in v:
            raise ValueError('Invalid email format')
        return v

class DataPipeline:
    def __init__(self):
        self.cleaning_stats = {'duplicates_removed': 0, 'nulls_handled': 0, 'validation_errors': 0}
    
    def clean_data(self, df: pd.DataFrame) -> pd.DataFrame:
        """Clean the dataset by handling duplicates and missing values"""

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