Extract xy coordinates from svg

svg-to-np-array.py

#!/usr/bin/env python

# Extracting xy coordinates from an svg path using svgpathtools
# https://github.com/mathandy/svgpathtools
# pip install svgpathtools

from svgpathtools import parse_path
import numpy as np

path = "M 125.09006,141.18848 C 110.99811,164.35846 111.22868,108.07854 83.831725,113.54159 56.434773,119.00464 91.156393,169.4818 61.713214,168.35114 32.270035,167.22048 81.822001,142.5491 60.875654,122.49307 39.929306,102.43705 13.745665,149.24722 6.4082722,121.25037 -0.92912038,93.253532 42.338807,123.59851 43.351984,95.418206 44.365161,67.2379 -6.2345334,65.117335 11.759409,43.777931 29.753351,22.438526 42.683955,75.303807 69.420586,63.044694 96.157218,50.78558 64.480031,7.6180619 90.699813,14.891972 c 26.219787,7.27391 -22.120071,45.96694 0.83756,61.421875 22.957637,15.454936 45.837447,-38.115775 52.856287,-9.974186 7.01884,28.141589 -35.94694,7.378485 -41.50034,35.827669 -5.553398,28.44918 36.28869,15.85118 22.19674,39.02115 z"
a = parse_path(path)

# Evaluate a at points in interval 0-1
comp = [a.point(i) for i in np.linspace(0, 1, num=500)]

# Extract real and imaginary components as standard numpy array
arr = np.array([(n.real, n.imag) for n in comp])