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Showing content from https://github.com/pandas-dev/pandas/issues/7103 below:

full SQL support for datetime64 values · Issue #7103 · pandas-dev/pandas · GitHub

See the tests I added for datetime, NaT and NaN values in PRs #7082 and #7100.

Postrgresql (psycopg2)

SQLite

MySQL (pymysql / MySQLdb / mysql.connector)

The data are feeded to the database using df.itertuples() and then np.asscalar(), and this gives data of the Timestamp class. And for some reason most drivers can handle this (because it is a subclass of datetime.datetime?), but pymysql and mysql.connector not.

For now, all the tests are skipped for MySQL / pymysql.

Oracle / SQL Server ?

There are also some issues with NaT handling (see the tests I added for datetime, NaT and NaN values in PRs #7082 and #7100), but to track this there is also an issue specific on NaN handling (#2754)


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