You don’t need to call imshow
all the time. It is much faster to use the object’s set_data
method:
myobj = imshow(first_image)
for pixel in pixels:
addpixel(pixel)
myobj.set_data(segmentedimg)
draw()
The draw()
should make sure that the backend updates the image.
UPDATE: your question was significantly modified. In such cases it is better to ask another question. Here is a way to deal with your second question:
Matplotlib’s animation only deals with one increasing dimension (time), so your double loop won’t do. You need to convert your indices to a single index. Here is an example:
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import animation
nx = 150
ny = 50
fig = plt.figure()
data = np.zeros((nx, ny))
im = plt.imshow(data, cmap='gist_gray_r', vmin=0, vmax=1)
def init():
im.set_data(np.zeros((nx, ny)))
def animate(i):
xi = i // ny
yi = i % ny
data[xi, yi] = 1
im.set_data(data)
return im
anim = animation.FuncAnimation(fig, animate, init_func=init, frames=nx * ny,
interval=50)