Fastest way to parse JSON strings into numpy arrays

Question

I have huge json objects containing 2D lists of coordinates that I need to transform into numpy arrays for processing.

However using json.loads followed wi

Answer 1

For this specific data, you could try this

import numpy as np

json_input = '{"rings" : [[(-8081441.0, 5685214.0), (-8081446.0, 5685216.0), (-8081442.0, 5685219.0), (-8081440.0, 5685211.0), (-8081441.0, 5685214.0)]]}'
i = json_input.find('[')
L = eval(json_input[i+1:-2])
print(np.array(L))