I’m trying to export some properties of a network to a numpy array. This works fine for most properties, but I noticed I got a “setting an array element with a sequence” error for some. Looking a little closer this seems to happen with `(shared)`

properties, perhaps because of the `VariableView`

that’s returned?

Is there a simple way to convert a list of `VariableView`

s (of scalars) to a standard python list?

## Minimal Code:

```
ffrom brian2 import *
import numpy as np
eqs = '''
v0 : 1
sigma : 1 (shared)
dv/dt = (v0 - v)/tau + sigma*xi*(tau**-0.5) :1
'''
tau = 10*ms
G1 = NeuronGroup(10, eqs)
G2 = NeuronGroup(5, eqs)
Gs = [G1,G2]
#%%
nonshared_list = [G.v0[0] for G in Gs]
shared_list = [G.sigma for G in Gs]
simple_list = [.1,.2,.3]
print('brian lists:')
print(nonshared_list)
print(shared_list)
print('\nsimple list → numpy array:')
print(np.array(simple_list))
print('\nnon-shared list → numpy array:')
print(np.array(nonshared_list))
print('\nshared list → numpy array')
try:
shared_np = np.array(shared_list)
print('success!')
except ValueError as err:
'results in "cannot set array with sequence"'
print('ERROR:',err)
#%% EXAMPLE OUTPUT:
# brian lists:
# [0.0, 0.0]
# [<neurongroup_5.sigma: 0.0>, <neurongroup_6.sigma: 0.0>]
#
# simple list → numpy array:
# [0.1 0.2 0.3]
#
# non-shared list → numpy array:
# [0. 0.]
#
# shared list → numpy array
# ERROR: setting an array element with a sequence.
```