'Is there a way to extract the timestamp format in Pandas?

I have a Panda Series which is a timestamp field and was imported in String format. How can I get the timestamp format of this field?

One way is to validate with each timestamp format

pd.to_datetime(x, errors='coerce', format="%m-%d-%y").notnull()

pd.to_datetime(x, errors='coerce', format="%d-%m-%y").notnull()

But this approach is not scalable as there are lot of timestamp formats and it will also be expensive operation validating every timestamps.

Is there a better way to extract the timestamp format ?

python pandas

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