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cell_anim2.py
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cell_anim2.py
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#
# cell_anim.py - plot 2-D cells associated with PhysiCell .svg files
#
import sys
import xml.etree.ElementTree as ET
import numpy as np
import glob
import matplotlib.pyplot as plt
import math
from collections import deque
print(len(sys.argv))
if (len(sys.argv) < 3):
usage_str = "Usage: %s start end" % (sys.argv[0])
print(usage_str)
print("e.g.,")
eg_str = "%s 0 42" % (sys.argv[0])
print(eg_str)
sys.exit(1)
else:
startCount = int(sys.argv[1])
endCount = int(sys.argv[2])
d={} # dictionary to hold all (x,y) positions of cells
"""
--- for example ---
In [141]: d['cell1599'][0:3]
Out[141]:
array([[ 4900. , 4900. ],
[ 4934.17, 4487.91],
[ 4960.75, 4148.02]])
"""
fig = plt.figure(figsize=(8,8))
ax = fig.gca()
ax.set_aspect("equal")
plt.ion()
count = -1
for fname in sorted(glob.glob('snapshot*.svg')):
xlist = deque()
ylist = deque()
rlist = deque()
rgb_list = deque()
#for fname in['snapshot00000000.svg', 'snapshot00000001.svg']:
#for fname in['snapshot00000000.svg']:
# print(fname)
count += 1
if count < startCount:
continue
if count > endCount:
break
print('\n---- ' + fname + ':')
tree = ET.parse(fname)
# print('--- root.tag, root.attrib ---')
root = tree.getroot()
# print('--- root.tag ---')
# print(root.tag)
# print('--- root.attrib ---')
# print(root.attrib)
# print('--- child.tag, child.attrib ---')
numChildren = 0
for child in root:
# print(child.tag, child.attrib)
# print("width ",child.attrib['width'])
# print('attrib=',child.attrib)
# if (child.attrib['id'] == 'tissue'):
if ('id' in child.attrib.keys()):
# print('-------- found tissue!!')
tissue_parent = child
break
# print('------ search tissue')
for child in tissue_parent:
# print('attrib=',child.attrib)
if (child.attrib['id'] == 'cells'):
# print('-------- found cells!!')
cells_parent = child
break
numChildren += 1
num_cells = 0
# print('------ search cells')
for child in cells_parent:
# print(child.tag, child.attrib)
# print('attrib=',child.attrib)
for circle in child:
# circle.attrib={'cx': '1085.59','cy': '1225.24','fill': 'rgb(159,159,96)','r': '6.67717','stroke': 'rgb(159,159,96)','stroke-width': '0.5'}
# print(' --- cx,cy=',circle.attrib['cx'],circle.attrib['cy'])
xval = float(circle.attrib['cx'])
s = circle.attrib['fill']
rgb = list(map(int, s[4:-1].split(","))) # using Py3
rgb[:]=[x/255. for x in rgb]
rgb_list.append(rgb)
# if (num_cells < 25):
# print(s)
# print(rgb)
# should we test for bogus x,y locations??
if (math.fabs(xval) > 10000.):
print("xval=",xval)
break
xlist.append(xval)
yval = float(circle.attrib['cy'])
if (math.fabs(yval) > 10000.):
print("xval=",xval)
break
ylist.append(yval)
rval = float(circle.attrib['r'])
rlist.append(rval)
# if (child.attrib['id'] in d.keys()):
# d[child.attrib['id']] = np.vstack((d[child.attrib['id']],
# [ float(circle.attrib['cx']), float(circle.attrib['cy']) ]))
# else:
# d[child.attrib['id']] = np.array( [ float(circle.attrib['cx']), float(circle.attrib['cy']) ])
break
# if (child.attrib['id'] == 'cells'):
# print('-------- found cells!!')
# tissue_child = child
num_cells += 1
print(fname,': num_cells= ',num_cells)
xvals=np.array(xlist)
yvals=np.array(ylist)
rvals=np.array(rlist)
rgbs=np.array(rgb_list)
#print("xvals[0:5]=",xvals[0:5])
#print("rvals[0:5]=",rvals[0:5])
print("rvals.min, max=",rvals.min(),rvals.max())
#ax.set_xticks([])
#ax.set_yticks([]);
#ax.set_xlim(0, 8); ax.set_ylim(0, 8)
#print 'dir(fig)=',dir(fig)
#fig.set_figwidth(8)
#fig.set_figheight(8)
plt.scatter(xvals,yvals, s=rvals*0.9, c=rgbs)
#plt.xlim(0,2000) # TODO - get these values from width,height in .svg at top
#plt.ylim(0,2000)
plt.pause(1.0)
"""
for key in d.keys():
if (len(d[key].shape) == 2):
x = d[key][:,0]
y = d[key][:,1]
plt.plot(x,y)
else:
print(key, " has no x,y points")
# print(" d[",key,"].shape=", d[key].shape)
# print(" d[",key,"].size=", d[key].size)
# print( d[key])
"""
#plt.show()