I am having table like this, where id is repeating several times. I need to get only max L1 value for each ID, so correct result from the que
Table timestamp | tracker_id | position ----------------------------------+------------+---------- 2020-02-01 21:53:45.571429+05:30 |
I've a status table and I want to fetch the latest details. Slno | ID | Status | date 1 | 1 | Pass | 15-06-2015 11:11:00 - this is inserted first 2
I need to write a query that returns the latest message in a conversation between two users. I've included the schema and my (failed) attempts in this fiddle: h
Suppose I have pandas DataFrame like this: df = pd.DataFrame({'id':[1,1,1,2,2,2,2,3,4],'value':[1,2,3,1,2,3,4,1,1]}) which looks like: id value 0 1