pandera.core.pandas.model_config.BaseConfig

class pandera.core.pandas.model_config.BaseConfig

Bases: pandera.core.base.model_config.BaseModelConfig

Define DataFrameSchema-wide options.

new in 0.5.0

Attributes

coerce	coerce types of all schema components
description	arbitrary textual description
dtype	datatype of the dataframe.
from_format	data format before validation.
from_format_kwargs	a dictionary keyword arguments to pass into the reader function that converts the object of type from_format to a pandera-validate-able data structure.
multiindex_coerce	coerce types of all MultiIndex components
multiindex_name	name of multiindex
multiindex_ordered	validate MultiIndex in order
multiindex_strict	make sure all specified columns are in validated MultiIndex - if "filter", removes indexes not specified in the schema
multiindex_unique	make sure the MultiIndex is unique along the list of columns
name	name of schema
ordered	validate columns order
strict	make sure all specified columns are in the validated dataframe - if "filter", removes columns not specified in the schema
title	human-readable label for schema
to_format	data format to serialize into after validation.
to_format_kwargs	a dictionary keyword arguments to pass into the writer function that converts the pandera-validate-able object to type to_format.
unique	make sure certain column combinations are unique
unique_column_names	make sure dataframe column names are unique