Hi,
I would like to plot multiple overlayed 4096x4096 images in one axes. If I
run this code the plot takes 300 MB of memory:
import numpy as np
import matplotlib.pyplot as plt
if __name__ == '__main__':
img = np.zeros((4096, 4096))
img[100: 300, 100:1500] = 200
imgplot = plt.imshow(img)
plt.show()
And it takes additional 300 MB for every image with this size added into
plot. Is there any way to reduce memory consumption without need of data
resampling?
My configuration:
Matplotlib 1.2.1
Numpy 1.7.1
Ubuntu 13.04 64 bit
Best
Stepan
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