Metadata#

Metadata provides a description of the underlying schema and data types within a dataset.

Schema & Data Type Inference

MetaExtractor([config])

Extract the synthesized.DataFrameMeta from a data frame

DataFrameMeta(name[, children, id_index, ...])

Describe the schema and data types of an arbitrary data frame.

Default Meta Types

Bool(name[, children, categories, nan_freq, ...])

DateTime(name[, children, categories, ...])

DateTime meta.

Float(name[, children, categories, ...])

Integer(name[, children, categories, ...])

String(name[, children, categories, ...])

TimeDelta(name[, children, categories, ...])

Meta Type Overrides

BusDateTime(name[, children, categories, ...])

Business DateTime meta.

FormattedString(name[, children, ...])

Describe values in a dataset containing formatted strings.

OrderedString(name[, children, categories, ...])

Annotations

Address(name[, children, categories, ...])

Describe values in a dataset containing address information.

Bank(name[, children, categories, nan_freq, ...])

Describe values in a dataset containing bank account information.

Person(name[, children, categories, ...])

Describe values in a dataset containing personal information.