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%matplotlib inline
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import numpy as np
import matplotlib.pyplot as plt
import mpl_toolkits.mplot3d.axes3d as axes3d
import matplotlib.animation as animation
# Fixing random state for reproducibility
np.random.seed(19680801)
def Gen_RandLine(length, dims=2):
"""
Create a line using a random walk algorithm
length is the number of points for the line.
dims is the number of dimensions the line has.
"""
lineData = np.empty((dims, length))
lineData[:, 0] = np.random.rand(dims)
for index in range(1, length):
# scaling the random numbers by 0.1 so
# movement is small compared to position.
# subtraction by 0.5 is to change the range to [-0.5, 0.5]
# to allow a line to move backwards.
step = ((np.random.rand(dims) - 0.5) * 0.1)
lineData[:, index] = lineData[:, index - 1] + step
return lineData
def update_lines(num, dataLines, lines):
for line, data in zip(lines, dataLines):
# NOTE: there is no .set_data() for 3 dim data...
line.set_data(data[0:2, :num])
line.set_3d_properties(data[2, :num])
return lines
# Attaching 3D axis to the figure
fig = plt.figure()
ax = axes3d.Axes3D(fig)
# Fifty lines of random 3-D lines
data = [Gen_RandLine(25, 3) for index in range(50)]
# Creating fifty line objects.
# NOTE: Can't pass empty arrays into 3d version of plot()
lines = [ax.plot(dat[0, 0:1], dat[1, 0:1], dat[2, 0:1])[0] for dat in data]
# Setting the axes properties
ax.set_xlim3d([0.0, 1.0])
ax.set_xlabel('X')
ax.set_ylim3d([0.0, 1.0])
ax.set_ylabel('Y')
ax.set_zlim3d([0.0, 1.0])
ax.set_zlabel('Z')
ax.set_title('3D Test')
# Creating the Animation object
line_ani = animation.FuncAnimation(fig, update_lines, 25, fargs=(data, lines),
interval=50, blit=False)
line_ani
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HTML(anim.to_html5_video())
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from IPython.display import HTML
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import animation, rc
rc('animation', html='html5')
data = np.random.rand(100,50,50)
fig, ax = plt.subplots()
ax.set_xlim((0, 50))
ax.set_ylim((0, 50))
im = ax.imshow(data[0,:,:])
def init():
im.set_data(data[0,:,:])
return (im,)
# animation function. This is called sequentially
def animate(i):
data_slice = data[i,:,:]
im.set_data(data_slice)
return (im,)
# call the animator. blit=True means only re-draw the parts that have changed.
FFwriter = animation.FFMpegWriter(fps=30, extra_args=['-vcodec', 'libx264'])
anim = animation.FuncAnimation(fig, animate, init_func=init,
frames=100, interval=20, blit=True)
anim
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