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How to transform pykx list of lists to .np() matrix

Posted by marcosvm13 on August 29, 2023 at 12:00 am

Hi! I am trying to transform a list of lists to a numpy matrix. For example, this array:

arr = kx.toq(np.random.rand(3,2))

We tried to transform it with the .np method:

arr.np()

But the result of this was an array of objects, which cannot be easily translated to a normal array:

array([array([0.9092564 , 0.40209283]), array([0.06786111, 0.50098914]), array([0.04279995, 0.50821769])], dtype=object)

Now we are using:
np.array(arr.py())
It works but this solution is very slow. Is there a way to transform lists of q’s lists into numpy arrays without going through python?

Thanks for your help!

Marcos

marcosvm13 replied 8 months, 3 weeks ago 2 Members · 1 Reply
1 Reply

cmccarthy1

Member
August 29, 2023 at 12:00 am
Hey,

There isn’t presently a way for multi-dimensional arrays to be returned in a different representation by default, if the returned data is a ‘rectangular’ data representation you can call np.stack on the data post processing to flatten it’s representation if needed
```
>>> import pykx as kx 
>>> import numpy as np 
>>> arr = kx.toq(np.random.rand(3,2))
>>> np.stack(arr.np()) 
array([[0.98669419, 0.47121857], 
[0.27329073, 0.15091775], 
[0.30553385, 0.32638803]])
```

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