I've done a bit of googling, and I can't find much information on this. I have a MySQL table that I'm pushing data to that has a key column. The only writing to this table is from my python script. I know you can use "auto-increment" columns to keep the key generation a sanitary process. I also know that when you insert into the table using normal MySQL, you're supposed to push a SQL NULL in to the row to get it to auto-increment properly. How would I set up the rows to have the proper NULL? Can I use pandas NaNs or NoneTypes?
E: Here's a sample setup.
Table: Logbook
| Key | Date  | Notes      |
|  1  | 02-18 | Successful |
|  2  | 03-18 | Failure    |
Using SQL to insert to the table:
INSERT INTO Logbook
VALUES (NULL, 04-18, Failure)
I want to accomplish this with pd.to_sql
