[Python] How to create a numpy.array from a list of floats with shared-memory with version...

I am trying to create a numpy array from a list of floats with shared-memory such that updating the list updates the numpy array.

import numpy as np
lists = [[1]]
arr = np.asarray(lists, dtype=object)
lists[0][0] = 9999
arr # [[1]], but I want to return 9999


If I add copy=False, I get the error: ValueError: Unable to avoid copy while creating an array as requested.

I am aware of byearray, but that seems to only work for ints. Is there any possible way to have the a numpy array of list of numpy floats without creating a copy?

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