Data types are extracted from the DataFrame’s schema and mapped from Polars to Data Package data types. For the best results, ensure that the DataFrame’s schema is correct—this may require some manually fixing. Since there are differences between Polars and Data Package data types, the mapping may not always be perfect, and some data types may be extracted to simpler types. For example, a year column may be extracted as an integer instead of Data Package’s year type. Be sure to review and modify the extracted properties to suit your needs.
Parameters
data:pl.DataFrame
A Polars DataFrame containing the data to extract properties from.
Returns
list[FieldProperties]
A list of FieldProperties objects, each representing a field/column in the
list[FieldProperties]
DataFrame.
Raises
ValueError
If the data is empty.
Examples
import seedcase_sprout as spsp.extract_field_properties( data=sp.example_data(),)