1 files changed, 55 insertions, 7 deletions
diff --git a/src/python/cells.py b/src/python/cells.py
index abafcf0..3304296 100755
--- a/src/python/cells.py
+++ b/src/python/cells.py
@@ -1,14 +1,62 @@
 #!/usr/bin/env python
 
 import numpy as np
+from numpy import genfromtxt
+import json
+import bpy
+import time
+import sys
 
-num = 1e6
+num = 100                   # number of stars that should be generated
+range_max = 10              # define the range in which the coordinates should be generated
+axes = 3                    # define the number of axes
+data = "galaxy"             # define the name of the galaxy
+path = "cell_stars/1.csv"   # define the path where the galaxy should be saved
 
 # generate random coordinates
-rand_a = (np.random.rand(num, 3) * 2000) - 1000
-print(rand_a)
+# rand_a = (np.random.rand(num, axes) * 2 * rand_range) - rand_range
 
-# Out goal is to define a 6D array in wich the first three dimension describe
-# the a point, in out case, the corner of a cell containing some stars.
-# The other three dimensions are used to store a vector descibing the overall
-# forces in the cell.
+
+for i in range(0, num, 1):
+
+    # generate the random star-coordinates
+    x = np.random.uniform(-range_max, range_max, size=1)
+    y = np.random.uniform(-range_max, range_max, size=1)
+    z = np.random.uniform(-range_max, range_max, size=1)
+
+    with open(path, "a") as star_data:
+        x_a = str(float(x)) + ", "
+        y_a = str(float(y)) + ", "
+        z_a = str(float(z))
+
+        star_data.write(x_a + y_a + z_a + "\n")
+
+for data in path:
+    verts = genfromtxt(path, delimiter=', ', skip_header=0, usecols = (0, 1, 2))
+
+    # create mesh and object
+    mesh = bpy.data.meshes.new(data)
+    object = bpy.data.objects.new(data,mesh)
+
+    # set mesh location
+    object.location = bpy.context.scene.cursor_location
+    bpy.context.scene.objects.link(object)
+
+    # create mesh from python data
+    mesh.from_pydata(verts,[],[])
+    mesh.update(calc_edges=True)
+
+    bpy.ops.object.select_all(action='SELECT')
+
+# parsed_json = json.loads(stars)
+# print(parsed_json["s1"])
+#
+#
+# # The Vector array contains vectors describing forces acting inside the cells.
+# cell_num = 3            # number of cells
+#
+# vector_arr = np.zeros((cell_num, cell_num, cell_num))
+#
+# vector_arr[0][1][2] = Vector(1, 2, 3)
+#
+# print(vector_arr[0])