How to save a list as numpy array in python?

Yes it is:

a = numpy.array([1,2,3])

you mean something like this ?

from numpy  import array
a = array( your_list )

You want to save it as a file?

import numpy as np

myList = [1, 2, 3]

np.array(myList).dump(open('array.npy', 'wb'))

… and then read:

myArray = np.load(open('array.npy', 'rb'))

I suppose, you mean converting a list into a numpy array?
Then,

import numpy as np

# b is some list, then ...    
a = np.array(b).reshape(lengthDim0, lengthDim1);

gives you a as an array of list b in the shape given in reshape.

You can use numpy.asarray, for example to convert a list into an array:

>>> a = [1, 2]
>>> np.asarray(a)
array([1, 2])

Here is a more complete example:

import csv
import numpy as np

with open('filename','rb') as csvfile:
     cdl = list( csv.reader(csvfile,delimiter='t'))
     print "Number of records = " + str(len(cdl))

#then later

npcdl = np.array(cdl)

Hope this helps!!

import numpy as np 

... ## other code

some list comprehension

t=[nodel[ nodenext[i][j] ] for j in idx]
            #for each link, find the node lables 
            #t is the list of node labels 

Convert the list to a numpy array using the array method specified in the numpy library.

t=np.array(t)

This may be helpful: https://numpy.org/devdocs/user/basics.creation.html

maybe:

import numpy as np
a=[[1,1],[2,2]]
b=np.asarray(a)
print(type(b))

output:

<class 'numpy.ndarray'>