# This snippet shows how to serialize one or more numpy arrays into a form fit for HTTP transport # namely a JSON object # Author: Erwin Dassen

npz2json.py

# This snippet shows how to serialize one or more numpy arrays into a form fit for HTTP transport
# namely a JSON object
# Author: Erwin Dassen

from io import BytesIO
import numpy as np
import json

A = np.array([[1.+1.j, 1.j], [-1.j, 1.-1.j]], dtype=np.complex64)  # dtype not necessary for np.complex128

# Serialize
fh_serial = BytesIO()
np.savez_compressed(fh_serial, A=A, B=A.T)  # the second and subsequent parameter(s) indicate how to access the array by name upon deserialization

hex_serial = fh_serial.getbuffer().hex()  # str type
json_serial = json.dumps(hex_serial)

# Deserialize
hex_deserial = json.loads(json_serial)  # str type
bytes_deserial = bytes.fromhex(hex_deserial)
fh_deserial = BytesIO(bytes_deserial)

X = np.load(fh_deserial)

# Test
assert np.all(X['A'] == A)
assert np.all(X['B'] == A.T)