I have a table with some ids + titles. I want to make the title column unique, but it has over 600k records already, some of which are duplicates (sometimes several dozen times over).
I have a table of games, which is described as follows:
I have a table with columns for
I have an array of objects. I’d like to remove the duplicates based on the “name” value in the object.
I’m using a 2D shape array to store pairs of longitudes+latitudes. At one point, I have to merge two of these 2D arrays, and then remove any duplicated entry. I’ve been searching for a function similar to numpy.unique, but I’ve had no luck. Any implementation I’ve been
thinking on looks very “unoptimizied”. For example, I’m trying with converting the array to a list of tuples, removing duplicates with set, and then converting to an array again: