From d0f19b8bc7ab11449cea028106504cacecd94f66 Mon Sep 17 00:00:00 2001
From: hanemile <emile.hansmaennel@gmail.com>
Date: Mon, 19 Mar 2018 20:47:13 +0100
Subject: cleaned up

---
 src/python/cells.py | 62 -----------------------------------------------------
 1 file changed, 62 deletions(-)
 delete mode 100755 src/python/cells.py

(limited to 'src/python/cells.py')

diff --git a/src/python/cells.py b/src/python/cells.py
deleted file mode 100755
index 3304296..0000000
--- a/src/python/cells.py
+++ /dev/null
@@ -1,62 +0,0 @@
-#!/usr/bin/env python
-
-import numpy as np
-from numpy import genfromtxt
-import json
-import bpy
-import time
-import sys
-
-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, axes) * 2 * rand_range) - rand_range
-
-
-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])
-- 
cgit 1.4.1