Trying to visualize the cross-correlation between two volumes, img_3D, and mask_3D, using Seaborn heatmap, and animation from Matplotlib to visualize the 3D cross-correlation result as a progressive animation of 2D images, but I was facing an error, can you please tell me how to get rid of this error, and visualize the heatmaps correctly?
Thanks in advance.
Traceback (most recent call last):
File "C:UsersUserAppDataLocalProgramsPythonPython37libkinter\__init__.py", line 1705, in __call__
return self.func(*args)
File "C:UsersUserAppDataLocalProgramsPythonPython37libsite-packagesmatplotlibackends\_backend_tk.py", line 259, in resize
self.draw()
File "C:UsersUserAppDataLocalProgramsPythonPython37libsite-packagesmatplotlibackendsackend_tkagg.py", line 9, in draw
super(FigureCanvasTkAgg, self).draw()
File "C:UsersUserAppDataLocalProgramsPythonPython37libsite-packagesmatplotlibackendsackend_agg.py", line 392, in draw
else nullcontext()):
File "C:UsersUserAppDataLocalProgramsPythonPython37libcontextlib.py", line 112, in __enter__
return next(self.gen)
File "C:UsersUserAppDataLocalProgramsPythonPython37libsite-packagesmatplotlibackend_bases.py", line 2788, in _wait_cursor_for_draw_cm
self.set_cursor(self._lastCursor)
File "C:UsersUserAppDataLocalProgramsPythonPython37libsite-packagesmatplotlibackends\_backend_tk.py", line 544, in set_cursor
window.configure(cursor=cursord[cursor])
File "C:UsersUserAppDataLocalProgramsPythonPython37libkinter\__init__.py", line 1485, in configure
return self._configure('configure', cnf, kw)
File "C:UsersUserAppDataLocalProgramsPythonPython37libkinter\__init__.py", line 1476, in _configure
self.tk.call(_flatten((self._w, cmd)) + self._options(cnf))
_tkinter.TclError: invalid command name "."
The code used is :
# Import Libraries
#====================================
import numpy as np
np.random.seed(0)
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
import nibabel as nib
from scipy.signal import correlate
import seaborn as sns
sns.set()
#===================================
img = np.load('img.npy')
act = np.load('act.npy')
# Mode : 'full', 'valid', 'same'
result = correlate(img, act,mode='same')
print(img.shape, act.shape, result.shape)
def updatefig(sl):
for sl in range(result.shape[2]):
print(sl,' / ',result.shape[2])
sns.heatmap(result[...,sl],cbar=False)
ax.set_title("frame {}".format(sl))
# Note that using time.sleep does *not* work here!
plt.pause(0.1)
fig, ax = plt.subplots()
ani = FuncAnimation(fig, updatefig, frames=range(result.shape[2]), interval=5, blit=True)
plt.show()
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