I have the following pandas dataframe at hand:

              key                    created
0      DLAND-1957  2024-05-23 12:59:25+02:00
1      DLAND-1956  2024-05-22 13:53:09+02:00
2      DLAND-1955  2024-05-22 11:49:31+02:00
3      DLAND-1954  2024-05-22 11:48:48+02:00

there are some more columns but that does not seem to be relevant here. As you can see, the column “created” is a “timestamp”:

type(list(df.iloc[0])[1])

pandas._libs.tslibs.timestamps.Timestamp

However, when calling df.dtypes it reports type “object”:

print(df.dtypes)

key                              object
created                          object
...

Foregive me for taking the “dummy user” perspective here but python/pandas/numpy all seem to have a confusing wild jungle of potential types of representing a simple thing: a timestamp. Might it be that pandas does not understand it’s own datatype pandas._libs.tslibs.timestamps.Timestamp as timestamp?