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

Community Support
1

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

2

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]])