Support for timezone aware datetime64 columns?

[ajstewart]

I'm wondering if there is supposed to be support for timestamp objects that have a timezone attached?

For example, something simple like:

import pandas as pd


data = {
    'labels': ['test', 'test2'], 
    'dates': [
        pd.Timestamp('2021-08-11T03:00:00', tz='UTC'), 
        pd.Timestamp('2021-08-11T15:00:00', tz='UTC')
    ]
}

test = pd.DataFrame.from_dict(data)

test.to_parquet('test.parquet')

test_open = vaex.open('test.parquet')

When I read the parquet with vaex (v4.3.0) while it opens it fails on trying to interact with the dates column, or a even a .info() with

TypeError: Cannot interpret 'datetime64[ns, UTC]' as a data type

I've used parquet here but arrow I experience the same.

I know there have been quite a few issues opened over vaex and handing time columns but I couldn't quite find one addressing timezones - only this one from quite a while ago now (#565).

Thanks!