I found my problem.  There were two different time date formats in the JSON.  Some look like 2022-02-19T21:08:00Z and some are like 2022-02-18 07:38:53.110000+00:00.  That was causing an issue with the dataframe conversion.  Thank you for your help.
I am in the process of converting a JSON into a dateframe.  One of the items in the JSON is a date in the form of a string.  I am calling the item with the following entry:
markets_json['events'][i]['periods']['num_0']['cutoff']
i is a position number in a list that is being generated from a ```for`` loop.  The other fields are dictionary keys.  It returns a string that looks something like this:
2022-02-19T21:08:00Z
I would like to turn this into some sort of real usable date that I might even be able to adjust the time zone on.  The best I have been able to do are to use datetime.datetime.strptime  or  parser.isoparse but those just creates datetime objects (datetime.datetime(2022, 2, 19, 21, 8, tzinfo=datetime.timezone.utc)) which are not usable to me in the dataframe or I need to know how  make them usable.
Thank you in advance for your help.
Converting a String to a Usable Date