pandas_profiling.config.CatVars

pydantic model pandas_profiling.config.CatVars

Create a new model by parsing and validating input data from keyword arguments.

Raises ValidationError if the input data cannot be parsed to form a valid model.

Fields

• cardinality_threshold (int)

• characters (bool)

• chi_squared_threshold (float)

• coerce_str_to_date (bool)

• histogram_largest (int)

• imbalance_threshold (float)

• length (bool)

• n_obs (int)

• redact (bool)

• stop_words (List[str])

• words (bool)

field cardinality_threshold: int = 50

field characters: bool = True

field chi_squared_threshold: float = 0.999

field coerce_str_to_date: bool = False

field histogram_largest: int = 50

field imbalance_threshold: float = 0.5

field length: bool = True

field n_obs: int = 5

field redact: bool = False

field stop_words: List[str] = []

field words: bool = True