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Python - Subtract a number of samples from a given in a dictionary structure

I have a dict structure with length 5. The dict structure is called "mat_contents". The information is located in "traindata" and their respective labels in "trainlabels". I want to extract a given number of samples from a given label value. For instance, 60 samples (out of 80) from "traindata" with label "trainlabels" equal 1. I have seen some examples in here but they are different from my request.

Assuming this as an example of Input

 traindata   trainlabels
a               1 

b               2
c               2
d               1
e               1
f               2

The result if I want to extract two random samples of traindata with trainlabels value of 2 could be:

   b  
   f  
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labels = [k for k, v in mat_contents.items() if v == 1]
result = np.random.choice(labels, 2, replace=False)

The first line extracts the relevant labels from your dictionary, and the second line chooses a random subset of 2 elements from these labels (without replacement), if numpy is imported as np.


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