pandera.config.PanderaConfig¶

class pandera.config.PanderaConfig(**data)[source]¶

Pandera config base class.

This should pick up environment variables automatically, e.g.: export PANDERA_VALIDATION_ENABLED=False export PANDERA_VALIDATION_DEPTH=DATA_ONLY export PANDERA_CACHE_DATAFRAME=True export PANDERA_KEEP_CACHED_DATAFRAME=True

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

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Attributes

`model_computed_fields`	A dictionary of computed field names and their corresponding ComputedFieldInfo objects.
`model_config`	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
`model_extra`	Get extra fields set during validation.
`model_fields`	Metadata about the fields defined on the model, mapping of field names to [FieldInfo][pydantic.fields.FieldInfo].
`model_fields_set`	Returns the set of fields that have been explicitly set on this model instance.
`validation_enabled`
`validation_depth`
`cache_dataframe`
`keep_cached_dataframe`

Methods