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

The simplest answer would just be:

numpy_2d_arrays = np.array(dict["rings"])

As this avoids explicitly looping over your array in python you would probably see a modest speedup. If you have control over the creation of json_input it would be better to write out as a serial array. A version is here.