-
Notifications
You must be signed in to change notification settings - Fork 8
/
anim_svg_step.py
306 lines (269 loc) · 8.12 KB
/
anim_svg_step.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
#
# anim_svg_step.py:
# render/animate PhysiCell .svg files, using left/right arrows on keyboard
#
# Usage:
# python anim_svg_step.py <show_nucleus start_index axes_min axes_max scale_radius>
#
# Examples (run from directory containing the .svg files):
# python anim_svg_step.py
# python anim_svg_step.py 0 5 700 1300 12
#
# Author: Randy Heiland
#
#
import sys
import glob
import os
import xml.etree.ElementTree as ET
import math
join_our_list = "(Join/ask questions at https://groups.google.com/forum/#!forum/physicell-users)\n"
try:
import matplotlib
import matplotlib.colors as mplc
except:
print("\n---Error: cannot import matplotlib")
print("---Try: python -m pip install matplotlib")
print(join_our_list)
# print("---Consider installing Anaconda's Python 3 distribution.\n")
raise
try:
import numpy as np # if mpl was installed, numpy should have been too.
except:
print("\n---Error: cannot import numpy")
print("---Try: python -m pip install numpy\n")
print(join_our_list)
raise
from collections import deque
try:
# apparently we need mpl's Qt backend to do keypresses
# matplotlib.use("Qt5Agg")
matplotlib.use("TkAgg")
import matplotlib.pyplot as plt
except:
print("\n---Error: cannot use matplotlib's TkAgg backend")
print(join_our_list)
# print("Consider installing Anaconda's Python 3 distribution.")
raise
current_idx = 0
print("# args=",len(sys.argv)-1)
#for idx in range(len(sys.argv)):
use_defaults = True
show_nucleus = 0
current_idx = 0
axes_min = 0.0
axes_max = 2000
axes_max = 1000
scale_radius = 1.0
if (len(sys.argv) == 6):
use_defaults = False
kdx = 1
show_nucleus = int(sys.argv[kdx])
kdx += 1
current_idx = int(sys.argv[kdx])
kdx += 1
axes_min = float(sys.argv[kdx])
kdx += 1
axes_max = float(sys.argv[kdx])
kdx += 1
scale_radius = float(sys.argv[kdx])
elif (len(sys.argv) != 1):
print("Please provide either no args or 5 args:")
usage_str = "show_nucleus start_index axes_min axes_max scale_radius"
print(usage_str)
print("e.g.,")
eg_str = "%s 0 0 0 2000 1" % (sys.argv[0])
print(eg_str)
sys.exit(1)
"""
print("show_nucleus=",show_nucleus)
print("current_idx=",current_idx)
print("axes_min=",axes_min)
print("axes_max=",axes_max)
print("scale_radius=",scale_radius)
"""
"""
if (len(sys.argv) > 1):
current_idx = int(sys.argv[1])
if (len(sys.argv) > 2):
axes_min = float(sys.argv[2])
axes_max = float(sys.argv[3])
if (len(sys.argv) == 5):
scale_radius = float(sys.argv[4])
if (len(sys.argv) > 5):
usage_str = "[<start_index> [<axes_min axes_max [scale_radius]]]"
print(usage_str)
print("e.g.,")
eg_str = "%s 10 700 1300 4" % (sys.argv[0])
print(eg_str)
sys.exit(1)
"""
print("current_idx=",current_idx)
#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=(7,7))
ax = fig.gca()
#ax.set_aspect("equal")
#plt.ion()
time_delay = 0.1
count = -1
#while True:
def plot_svg():
global current_idx, axes_max
fname = "snapshot%08d.svg" % current_idx
if (os.path.isfile(fname) == False):
print("File does not exist: ",fname)
return
xlist = deque()
ylist = deque()
rlist = deque()
rgb_list = deque()
# print('\n---- ' + fname + ':')
tree = ET.parse(fname)
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("keys=",child.attrib.keys())
if use_defaults and ('width' in child.attrib.keys()):
axes_max = float(child.attrib['width'])
# print("--- found width --> axes_max =", axes_max)
if child.text and "Current time" in child.text:
svals = child.text.split()
title_str = "(" + str(current_idx) + ") Current time: " + svals[2] + "d, " + svals[4] + "h, " + svals[7] + "m"
# 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')
cells_parent = None
for child in tissue_parent:
# print('attrib=',child.attrib)
if (child.attrib['id'] == 'cells'):
# print('-------- found cells, setting cells_parent')
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: # two circles in each child: outer + nucleus
# 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']
# print("s=",s)
# print("type(s)=",type(s))
if (s[0:3] == "rgb"): # if an rgb string, e.g. "rgb(175,175,80)"
rgb = list(map(int, s[4:-1].split(",")))
rgb[:]=[x/255. for x in rgb]
else: # otherwise, must be a color name
rgb_tuple = mplc.to_rgb(mplc.cnames[s]) # a tuple
rgb = [x for x in rgb_tuple]
# test for bogus x,y locations (rwh TODO: use max of domain?)
too_large_val = 10000.
if (math.fabs(xval) > too_large_val):
print("bogus xval=",xval)
break
yval = float(circle.attrib['cy'])
if (math.fabs(yval) > too_large_val):
print("bogus xval=",xval)
break
rval = float(circle.attrib['r'])
# if (rgb[0] > rgb[1]):
# print(num_cells,rgb, rval)
xlist.append(xval)
ylist.append(yval)
rlist.append(rval)
rgb_list.append(rgb)
# For .svg files with cells that *have* a nucleus, there will be a 2nd
if (show_nucleus == 0):
break
num_cells += 1
# if num_cells > 3: # for debugging
# print(fname,': num_cells= ',num_cells," --- debug exit.")
# sys.exit(1)
# break
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())
plt.cla()
title_str += " (" + str(num_cells) + " agents)"
plt.title(title_str)
plt.xlim(axes_min,axes_max)
plt.ylim(axes_min,axes_max)
plt.scatter(xvals,yvals, s=rvals*scale_radius, c=rgbs)
#plt.xlim(0,2000) # TODO - get these values from width,height in .svg at top
#plt.ylim(0,2000)
plt.pause(time_delay)
step_value = 1
def press(event):
global current_idx, step_value
# print('press', event.key)
sys.stdout.flush()
if event.key == 'escape':
sys.exit(1)
elif event.key == 'h': # help
print('esc: quit')
print('right arrow: increment by step_value')
print('left arrow: decrement by step_value')
print('up arrow: increment step_value by 1')
print('down arrow: decrement step_value by 1')
print('0: reset to 0th frame')
print('h: help')
elif event.key == 'left': # left arrow key
# print('go backwards')
# fig.canvas.draw()
current_idx -= step_value
if (current_idx < 0):
current_idx = 0
plot_svg()
elif event.key == 'right': # right arrow key
# print('go forwards')
# fig.canvas.draw()
current_idx += step_value
plot_svg()
elif event.key == 'up': # up arrow key
step_value += 1
print('step_value=',step_value)
elif event.key == 'down': # down arrow key
step_value -= 1
if (step_value <= 0):
step_value = 1
print('step_value=',step_value)
elif event.key == '0': # reset to 0th frame/file
current_idx = 0
plot_svg()
else:
print('press', event.key)
#for current_idx in range(40):
# fname = "snapshot%08d.svg" % current_idx
# plot_svg(fname)
plot_svg()
print("\nNOTE: click in plot window to give it focus before using keys.")
fig.canvas.mpl_connect('key_press_event', press)
# keep last plot displayed
#plt.ioff()
plt.show()