projectmesa
DataCollector requires all agents to have the same Attributes
What's the problem this feature will solve? Hello @all I am not sure if I am actually doing something wrong but in my code I have two different agents types that get different attributes when created. (however they are from the same agent class) When I want to collect their specific attribute data with the data collector i get an "AttributeError" that my agents object has no such attribute. While this is true for agents 1-4 i created, agents 5-20 have that specific attribute. The only solution I found was to create the same attribute for the first 4 agents aswell and initialize it with None. For me this makes the code unnecessary flatulent. Is there a smart way around? For me it would be intuitive to check if the agent has this attribute and if not to automatically put "None" as a placeholder for the datacollector.
I am not really experience with python and mesa so I dont know if there exist some best practice solution to create different agents only through different classes or something like this.
Thanks for your help!
best regards,
Jonas
I would add the attribute with a default of None. I can't think of another way. Depending on the data type of the attribute, there are nice ways to write / come to the conclusion of None.
@JonasJosef123 there is one alternative solution: in the data collector, instead of doing a.foo, you do getattr(a, 'foo', None). It basically tries to check if a has attribute 'foo', if not, fall back to default that is None. If this solves your case, you can close this issue.
It's similar to the dictionary method get that sometimes you'd want to use: https://stackoverflow.com/questions/11041405/why-dict-getkey-instead-of-dictkey.
Hello everybody! It works fine using None, yet if I have 5,000 households and 500 firms in my model and I would like to get only firms attributes, I end up with very big DataFrames and slow down the model. It would be great to add something like an agent data collector that works only for a specific type/class/breed. Best Ale
@TabernaA I would have to take a deeper look, but I think this is possible. For a maybe a quick solution did you look at the the Wolf-Sheep example which uses breeds of agents? https://github.com/projectmesa/mesa/tree/master/examples/wolf_sheep
Yes, I do. But what I need is not the breed count but agent level variable. I am simply using lambda with the 'if condition' to keep only the type of agent I need and put None otherwise. The only problem is that it slows down a little bit the run and I have to manipulate a bit the dataframe afterwards.
@TabernaA does https://github.com/projectmesa/mesa/issues/976#issuecomment-776648380 not answer the problem with defaulting to None?
@JonasJosef123 In the last month there has been some discussion about this feature going on in #1419, you might find that interesting to follow! :)
