Difference between revisions of "Gorillaz Code"
From Predictive Chemistry
m (David M. Rogers moved page Gorrilaz Code to Gorillaz Code: misspelling) |
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# 3. show the array |
# 3. show the array |
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| − | plt.imshow(Z, cmap = plt.cm.gray) |
+ | #plt.imshow(Z, cmap = plt.cm.gray) |
| − | plt.show() |
+ | #plt.show() |
| ⚫ | |||
| + | # Animate the array by calling draw() 200 times. |
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def animate(cb, args=(), n=200): |
def animate(cb, args=(), n=200): |
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tstart = time.time() |
tstart = time.time() |
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print "FPS:", n/(time.time() - tstart) |
print "FPS:", n/(time.time() - tstart) |
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| ⚫ | |||
| ⚫ | |||
| + | ax = fig.add_subplot(111) |
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| + | win = fig.canvas.manager.window |
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| ⚫ | |||
| + | plt.show() |
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| + | |||
</source> |
</source> |
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Latest revision as of 11:30, 7 March 2016
Use the following image files:
And base your work on the following code:
<source lang="python"> import matplotlib.pyplot as plt import Image, time import numpy as np
- 0. Import some images
L = np.array(Image.open("L.png")) # 208 x 208 R = np.array(Image.open("R.png")) # 205 x 205 ban = np.array(Image.open("banana.png")) # 105 x 100
L = L[:,:,0] R = R[:,:,0] ban = ban[:,:,0]
- print L.shape, R.shape, ban.shape
- exit()
x0 = 100 y0 = 50 x1 = 500 y1 = 400
def draw(x, y):
# 1. create an array Z = np.zeros((1000,1000))
# 2. Add images to array Z[x0:x0+208,y0:y0+208] = L Z[x1:x1+205,y1:y1+205] = R Z[x:x+105,y:y+100] = ban return Z
Z = draw(300,50)
- 3. show the array
- plt.imshow(Z, cmap = plt.cm.gray)
- plt.show()
- Animate the array by calling draw() 200 times.
def animate(cb, args=(), n=200):
tstart = time.time()
data = cb(*args)
im = plt.imshow(data, origin='lowerleft')
for i in range(1, n):
data = cb(*args)
im.set_data(data)
fig.canvas.draw()
print "FPS:", n/(time.time() - tstart)
fig = plt.figure() ax = fig.add_subplot(111) win = fig.canvas.manager.window win.after(100, lambda: animate(draw, (50,100))) plt.show()
</source>
