pandas_profiling.config.Univariate

pydantic model pandas_profiling.config.Univariate[source]

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
field bool: pandas_profiling.config.BoolVars = BoolVars(n_obs=3, mappings={'t': True, 'f': False, 'yes': True, 'no': False, 'y': True, 'n': False, 'true': True, 'false': False})
field cat: pandas_profiling.config.CatVars = CatVars(length=True, characters=True, words=True, cardinality_threshold=50, n_obs=5, chi_squared_threshold=0.999, coerce_str_to_date=False, redact=False, histogram_largest=50)
field file: pandas_profiling.config.FileVars = FileVars(active=False)
field image: pandas_profiling.config.ImageVars = ImageVars(active=False, exif=True, hash=True)
field num: pandas_profiling.config.NumVars = NumVars(quantiles=[0.05, 0.25, 0.5, 0.75, 0.95], skewness_threshold=20, low_categorical_threshold=5, chi_squared_threshold=0.999)
field path: pandas_profiling.config.PathVars = PathVars(active=False)
field url: pandas_profiling.config.UrlVars = UrlVars(active=False)