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anim_svg_substrate.py
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anim_svg_substrate.py
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import sys,pathlib
import xml.etree.ElementTree as ET
import os
import math
import matplotlib.colors as mplc
from collections import deque
import scipy.io
import matplotlib
#import matplotlib.pyplot as plt # NB! do this AFTER the TkAgg line below!
#import matplotlib.colors as mplc
from matplotlib.colors import BoundaryNorm
from matplotlib.ticker import MaxNLocator
import numpy as np
from numpy.random import randn
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("Consider installing Anaconda's Python 3 distribution.")
raise
current_idx = 0
current_idx = 5
field_idx = 0
# if (len(sys.argv) < 3):
# current_idx = 0
# field_idx = 4
# fix_cmap = 0
# print("Usage: %s start_idx field_idx fix_cmap(0/1) vmin vmax" % sys.argv[0])
# print("e.g. %s start_idx field_idx fix_cmap(0/1) vmin vmax\n" % sys.argv[0])
# else:
# kdx = 1
# current_idx = int(sys.argv[kdx]); kdx += 1
# field_idx = int(sys.argv[kdx]); kdx += 1
# fix_cmap = int(sys.argv[kdx]); kdx += 1
# vmin = float(sys.argv[kdx]); kdx += 1
# vmax = float(sys.argv[kdx]); kdx += 1
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
xmin = 0.0
xmax = 1000 # but overridden by "width" attribute in .svg
vmin = 0.0
vmax = 1050
fix_cmap = 0
scale_radius = 1.0
if (len(sys.argv) == 12):
use_defaults = False
kdx = 1
show_nucleus = int(sys.argv[kdx])
kdx += 1
current_idx = int(sys.argv[kdx])
kdx += 1
svg_xmin = float(sys.argv[kdx])
kdx += 1
svg_xmax = float(sys.argv[kdx])
kdx += 1
svg_ymin = float(sys.argv[kdx])
kdx += 1
svg_ymax = float(sys.argv[kdx])
kdx += 1
xmin = float(sys.argv[kdx])
kdx += 1
xmax = float(sys.argv[kdx])
kdx += 1
ymin = float(sys.argv[kdx])
kdx += 1
ymax = float(sys.argv[kdx])
kdx += 1
scale_radius = float(sys.argv[kdx])
else:
print("Usage:")
usage_str = "show_nucleus start_index svg_xmin svg_xmax svg_ymin svg_ymin xmin xmax ymin ymax 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('current_idx, field_idx = ',current_idx, field_idx)
# figure out the domain sizes (might not be square)
ifname = "initial.xml"
tree = ET.parse(ifname)
xml_root = tree.getroot()
xcoord_vals = xml_root.find(".//x_coordinates").text.split()
ycoord_vals = xml_root.find(".//y_coordinates").text.split()
xmin = float(xcoord_vals[0])
xmax = float(xcoord_vals[-1]) # should be 999.0
ymin = float(ycoord_vals[0])
ymax = float(ycoord_vals[-1]) # should be 999.0
# numx = int((xmax - xmin) / xdel) # need to also round maybe?
# numy = int((ymax - ymin) / ydel)
numx = len(xcoord_vals)
numy = len(ycoord_vals)
print("numx, numy = ",numx,numy)
fig = plt.figure(figsize=(7,5.8))
#ax = fig.gca()
time_delay = 0.1
count = -1
cbar = None
def plot_substrate():
global current_idx, axes_max, cbar
# select whichever substrate index you want, e.g., for one model:
# 4=tumor cells field, 5=blood vessel density, 6=growth substrate
xml_file = "output%08d.xml" % current_idx
tree = ET.parse(xml_file)
root = tree.getroot()
# print('time=' + root.find(".//current_time").text)
mins = float(root.find(".//current_time").text)
hrs = mins/60.
days = hrs/24.
title_str = '%d days, %d hrs, %d mins' % (int(days),(hrs%24), mins - (hrs*60))
# print(title_str)
fname = "output%08d_microenvironment0.mat" % current_idx
output_dir_str = '.'
fullname = output_dir_str + "/" + fname
if not pathlib.Path(fullname).is_file():
print("file not found",fullname)
return
info_dict = {}
scipy.io.loadmat(fullname, info_dict)
M = info_dict['multiscale_microenvironment']
print('plot_substrate: field_idx=',field_idx)
f = M[field_idx,:] #
#N = int(math.sqrt(len(M[0,:])))
#grid2D = M[0,:].reshape(N,N)
xgrid = M[0, :].reshape(numy, numx)
ygrid = M[1, :].reshape(numy, numx)
# xvec = grid2D[0,:]
#xvec.size
#xvec.shape
num_contours = 30
num_contours = 10
# vmin = 30.
# vmax = 38.
levels = MaxNLocator(nbins=30).tick_values(vmin, vmax)
# cmap = plt.get_cmap('PiYG')
cmap = plt.get_cmap('viridis')
norm = BoundaryNorm(levels, ncolors=cmap.N, clip=True)
# my_plot = plt.contourf(xvec,xvec,M[field_idx,:].reshape(N,N), num_contours, cmap='viridis') #'viridis'
if fix_cmap > 0:
# my_plot = plt.contourf(xvec,xvec,M[field_idx,:].reshape(N,N), levels=levels, cmap=cmap)
my_plot = plt.contourf(xgrid, ygrid, M[field_idx, :].reshape(numy, numx), levels=levels, extend='both', cmap=cmap)
else:
# my_plot = plt.contourf(xvec,xvec,M[field_idx,:].reshape(N,N), cmap=cmap)
my_plot = plt.contourf(xgrid, ygrid, M[field_idx, :].reshape(numy, numx), cmap=cmap)
if cbar == None:
# cbar = plt.colorbar(my_plot, boundaries=np.arange(vmin, vmax, 1.0))
cbar = plt.colorbar(my_plot)
else:
cbar = plt.colorbar(my_plot, cax=cbar.ax)
# plt.axis('equal')
plt.title(title_str)
# plt.show()
png_file = "aaa%08d.png" % current_idx
# fig.savefig(png_file)
# plt.pause(time_delay)
#--------------------------------------------
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
svg_xrange = svg_xmax - svg_xmin
svg_yrange = svg_ymax - svg_ymin
x_range = xmax - xmin
y_range = ymax - ymin
# 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'])
# map into desired coord sys (same as substrate mesh)
xval = (xval-svg_xmin)/svg_xrange * x_range + xmin
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
# map into desired coord sys (same as substrate mesh)
yval = (yval-svg_ymin)/svg_yrange * y_range + ymin
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)
# axes range labels
plt.xlim(xmin,xmax)
plt.ylim(ymin,ymax)
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_substrate()
plot_svg()
elif event.key == 'right': # right arrow key
# print('go forwards')
# fig.canvas.draw()
current_idx += step_value
plot_substrate()
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_substrate()
plot_svg()
else:
print('press', event.key)
plot_substrate()
plot_svg()
print("\nNOTE: click in plot window to give it focus before using keys.")
fig.canvas.mpl_connect('key_press_event', press)
#plot_substrate(frame_idx)
plt.show()