From 29f675a4d42312b80f416a5d4993b0e6747a6b54 Mon Sep 17 00:00:00 2001
From: encinass1u <jessica-maria.encinas-silvas4@etu.univ-lorraine.fr>
Date: Mon, 16 May 2022 07:06:04 +0000
Subject: [PATCH] Delete Uni_cell_add.py
---
Cell_behavior_initial_steps/Uni_cell_add.py | 92 ---------------------
1 file changed, 92 deletions(-)
delete mode 100644 Cell_behavior_initial_steps/Uni_cell_add.py
diff --git a/Cell_behavior_initial_steps/Uni_cell_add.py b/Cell_behavior_initial_steps/Uni_cell_add.py
deleted file mode 100644
index 0b4639f..0000000
--- a/Cell_behavior_initial_steps/Uni_cell_add.py
+++ /dev/null
@@ -1,92 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-Created on Thu Apr 21 13:34:54 2022
-
-@author: encinass1u
-"""
-
-import numpy as np
-import pickle
-import random
-import matplotlib.pyplot as ptl
-import copy
-from matplotlib import pyplot as plt
-import random
-from scipy import ndimage
-from bio2mslib.inout.inout import WriteData as WD
-import os
-
-#Empty matrix size declaration
-lengthx = 12
-lengthy = 12
-G= np.zeros((lengthx,lengthy))
-ST = copy.deepcopy(G)
-
-
-#Loop to add the \ surface
-for i in range (0,12):
- for j in range (0,12):
- if (i == j):
- ST[i,j]=0.5
-
-#Pickle of the obtained matrix
-with open('Cell_grid.pkl', 'wb') as csv_file:
- pickle.dump(ST,csv_file)
-
-with open('Cell_grid.pkl', 'rb') as csv_file:
- data_saved = pickle.load(csv_file)
-
- #print(data_saved)
-
-# print(type(ST))
-# #Visual preentation in image of the matrix
-#im = plt.imshow(data_saved, cmap="copper_r")
-#plt.colorbar(data_saved) #Error hereeeee
-#plt.show()
-#Create a copy of the initial surface to seed the cells
-Z = copy.deepcopy(ST)
-
-im2 = plt.imshow(Z, cmap="copper_r")
-plt.show()
-
-#incertion of a single cell to track its movement based on the simpspn model
-uni_cell = Z[(5,4)]
-Z[(5,4)] = 1
-iter = 1
-itermax = 5
-im2 = plt.imshow(Z, cmap="copper_r")
-plt.show()
-while iter<= itermax:
- for i in range(0,12):
- for j in range(0,12):
- # if Zcopy[im,jm]>= 1:
- # Zcopyinitial = copy.deepcopy(Zcopy[im,jm])
-
- h = random.randint(-1,1) #horizontal value for the movement of the cell
- v = random.randint(-1,1) #vertival value for the movement of the cell
- if Z[i,j]>=uni_cell and (h != 0 or v!= 0):
- Z[h + i, v + j]+=1
- Z[i,j]+= uni_cell
- im2 = plt.imshow(Z, cmap="hot")
- plt.show()
- with open('Cell_migration_'+str(iter)+'.pkl', 'wb') as csv_file:
- pickle.dump(Z,csv_file)
- iter +=1
- # elif Z[i,j]>0.71 and (h != 0 or v!= 0):
- # Z[h + i, v + j]= Z[i,j]+1
- # Z[i,j]+=1
- # #Print the image to locate the cell each iteration.
- # #Saving the file of pickle
- # im2 = plt.imshow(Z, cmap="copper_r")
- # plt.show()
- # with open('Cell_migration_'+str(iter)+'.pkl', 'wb') as csv_file:
- # pickle.dump(Z,csv_file)
- # iter +=1
- # Z[h + i, v + j]= 1
- # Z[i,j]= 0
-
-
-
-
-
-
--
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