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import matplotlib.pyplot as plt

import matplotlib.animation as animation

import numpy as np

def animation_test():

# Define the number of blocks, axes, and translations

num_transixal = 4

num_axis = 9

num = num_transixal * num_axis

N = 2

# Create a sample data array

ratio_data = np.zeros((72, num_axis, N * num_transixal))

# Set the values for the blocks in the data array

for i in range(num_transixal):

for j in range(num_axis):

block_index = i * num_axis + j

ratio_data[block_index, j, i*2: i*2+2] = 100

# Create the plot

fig, ax = plt.subplots()

img = ratio_data[0]

vmax = 100

vmin = 0

h = ax.imshow(img, cmap=plt.get_cmap('CMRmap_r'), origin='lower', interpolation='none', vmin=vmin, vmax=vmax, animated=True)

# Set axis ticks and labels

ax.set_xticks(np.arange(0, N * num_transixal, 2) + 0.5)

ax.set_xticklabels(range(1, N * num_transixal+ 1, 2))

ax.set_yticks(np.arange(num_axis))

ax.set_yticklabels(range(1, num_axis+ 1))

# Set initial title

ax.set_title(f'frame: 1')

fig.tight_layout()

def update(frame):

img = ratio_data[frame]

h.set_array(img)

ax.set_title(f'frame: {frame + 1}') # Adjust frame title to be 1-indexed

return h,

# Create animation

interval = 100

ani = animation.FuncAnimation(fig, update, frames=range(72), interval=interval, blit=True)

ani.save('temp.gif', writer='pillow', fps=2, dpi=300)

if __name__ == '__main__':

animation_test()

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