Implement `steps.table_to_schema`

[roll]

Overview

To achieve the goal from this issue - https://github.com/frictionlessdata/frictionless-py/issues/922 - we can use transform. Initially we needed it for the Livemark Table plugin so it's fine to use transform here.

resource.yaml (v5)

path: table.csv
pipeline:
  steps:
    - code: table-to-schema
      schema: <your-schema>

On resource.transform() it will reshape the data to match the schema.

PS. We're going to use transform for this to keep our describe functionality pure as the initial idea of a defining schema (from #922) would break this concept