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Complementary to the CSV Dialect, this schema provides information about the contents of the columns in a standardised way, from column names to description of the content, its units or the type of the data, among many others. It will help to understand what the data in each column represent.
What is needed
Capture the Table Schema in a pydantic class, so it can be used where needed. Probably, it will be necessary at least 2 objects, one for the individual field descriptors and another one for the list of field descriptors and the other optional fields.
Using the schema in the load/save workflow is a separate issue.
The text was updated successfully, but these errors were encountered:
Problem
Complementary to the CSV Dialect, this schema provides information about the contents of the columns in a standardised way, from column names to description of the content, its units or the type of the data, among many others. It will help to understand what the data in each column represent.
What is needed
Capture the Table Schema in a
pydantic
class, so it can be used where needed. Probably, it will be necessary at least 2 objects, one for the individualfield
descriptors and another one for the list of field descriptors and the other optional fields.Using the schema in the load/save workflow is a separate issue.
The text was updated successfully, but these errors were encountered: