Hello Team, The docs for Custom Metadata in PyArrow say TODO https://arrow.apache.org/docs/python/data.html#custom-schema-and-field-metadata So I am wondering if someone has any example of adding some custom metadata to PyArrow.
I tried looking through the pyarrow github repo and looking at they handle pandas conversion because I know that uses metadata and see they do this ``` metadata.update(pandas_metadata) schema = schema.with_metadata(metadata) ``` Is that how most people handle metadata they create the schema and field first and then do with_metadata or do people construct schemas and fields with metadata already? I guess a follow up as well is that most examples I see use Pandas to start and convert to arrow using `from_pandas`. Is that best/standard practice or just legacy code from people using Pandas and starting out I should just work in PyArrow exclusively? For context, I am more interested in ease of use and less so performance, but I don’t want to not care at memory/performance cost at all. Thanks again everyone, Michael
