import contours into julia via json

.gitignore

 *.pyc
 *.csv
 *.gcode
+*.json

main.jl

 using DataFrames
 using CSV
+using JSON
+
+voxels = DataFrames.DataFrame(CSV.File("tensile-1-1.csv"))
+contours = JSON.parse(open("tensilecontours.json"))
 
-df = DataFrames.DataFrame(CSV.File("tensile-1-1.csv"))

voxelise.py

@@ -8,6 +8,7 @@ from math import pi
 from scipy.spatial import KDTree
 from scipy.interpolate import LinearNDInterpolator
 import pandas as pd
+import json
 
 
 class Voxelizer:
@@ -89,8 +90,16 @@ class Voxelizer:
         return csv_name
 
 
+def contour2dict(c):
+    return {'pos':c.pos, 'time':c.time}
+
 if __name__ == '__main__':
     obj = 'tensile'
-    pl = Voxelizer(obj + '.vtk', 1, 1) #0.25)
-    contours = gc.decode_gcode(obj + '.gcode')
+
+    #pl = Voxelizer(obj + '.vtk', 1, 1) #0.25)
     #pl.export_voxels('tensile')
+
+    contours = gc.decode_gcode(obj + '.gcode')
+    outfile = open(obj + 'contours.json','w')
+    json.dump([contour2dict(c) for c in contours], outfile)
+    outfile.close()