数据集，其中包含每个观测值的预定义类列表-R中

Question

I'm new to R and need to keep a dataset that contains for each observation (let's say - a user) a list of classes (let's say events). for example - for each user_ID I hold a list of events, every event class contains the fields: name, time, type.

My question is - what is the optimal way to hold such data in R? I have several millions of such observations so I need to hold it in optimal manner (in terms of space).

In addition, after I decide how to hold it, I need create it from within python, as my original data is in python dict. What is the best way to do it?

Thanks!

Answer 1

You can save your dict as a .csv using the csv module for Python.

mydict = {"a":1, "b":2, "c":3}
with open("test.csv", "wb") as myfile:
    w = csv.writer(myfile)
    w.writerows(mydict.items())

Then just load it into R with read.csv .

Of course, depending on what your Python dict looks like, you may need some more post processing, but without a reproducible example it's hard to say what that would be.