Animate matplotlib parametric example
up vote
0
down vote
favorite
What is the SIMPLIST way to animate the Python matlabplot parametric example?
I want to update the data within a loop item by item. Sadly this looks terrible, and is always flashing every colour of the rainbow!
Is there a simple easy way that allows me to update data as it is calculated?
from mpl_toolkits.mplot3d import Axes3D # noqa: F401 unused import
import numpy as np
import matplotlib.pyplot as plt
import math
plt.rcParams['legend.fontsize'] = 10
fig = plt.figure()
ax = fig.gca(projection='3d')
i = 10
theta = 0
x=
y=
z=
# Prepare arrays x, y, z
while (theta < 4*np.pi):
theta += 0.05
z += [i]
r = i**2 + 1
x += [r * math.sin(theta)]
y += [r * math.cos(theta)]
i +=1
ax.plot(x, y, z)
plt.pause(0.01)
python animation matplotlib curve
asked Nov 22 at 16:49
DogBreath
296
add a comment |
up vote
0
down vote
favorite
What is the SIMPLIST way to animate the Python matlabplot parametric example?
I want to update the data within a loop item by item. Sadly this looks terrible, and is always flashing every colour of the rainbow!
Is there a simple easy way that allows me to update data as it is calculated?
from mpl_toolkits.mplot3d import Axes3D # noqa: F401 unused import
import numpy as np
import matplotlib.pyplot as plt
import math
plt.rcParams['legend.fontsize'] = 10
fig = plt.figure()
ax = fig.gca(projection='3d')
i = 10
theta = 0
x=
y=
z=
# Prepare arrays x, y, z
while (theta < 4*np.pi):
theta += 0.05
z += [i]
r = i**2 + 1
x += [r * math.sin(theta)]
y += [r * math.cos(theta)]
i +=1
ax.plot(x, y, z)
plt.pause(0.01)
python animation matplotlib curve
asked Nov 22 at 16:49
DogBreath
296
Did you look at this example?
– ImportanceOfBeingErnest
Nov 22 at 19:45
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
What is the SIMPLIST way to animate the Python matlabplot parametric example?
I want to update the data within a loop item by item. Sadly this looks terrible, and is always flashing every colour of the rainbow!
Is there a simple easy way that allows me to update data as it is calculated?
from mpl_toolkits.mplot3d import Axes3D # noqa: F401 unused import
import numpy as np
import matplotlib.pyplot as plt
import math
plt.rcParams['legend.fontsize'] = 10
fig = plt.figure()
ax = fig.gca(projection='3d')
i = 10
theta = 0
x=
y=
z=
# Prepare arrays x, y, z
while (theta < 4*np.pi):
theta += 0.05
z += [i]
r = i**2 + 1
x += [r * math.sin(theta)]
y += [r * math.cos(theta)]
i +=1
ax.plot(x, y, z)
plt.pause(0.01)
python animation matplotlib curve
asked Nov 22 at 16:49
DogBreath
296
What is the SIMPLIST way to animate the Python matlabplot parametric example?
I want to update the data within a loop item by item. Sadly this looks terrible, and is always flashing every colour of the rainbow!
Is there a simple easy way that allows me to update data as it is calculated?
from mpl_toolkits.mplot3d import Axes3D # noqa: F401 unused import
import numpy as np
import matplotlib.pyplot as plt
import math
plt.rcParams['legend.fontsize'] = 10
fig = plt.figure()
ax = fig.gca(projection='3d')
i = 10
theta = 0
x=
y=
z=
# Prepare arrays x, y, z
while (theta < 4*np.pi):
theta += 0.05
z += [i]
r = i**2 + 1
x += [r * math.sin(theta)]
y += [r * math.cos(theta)]
i +=1
ax.plot(x, y, z)
plt.pause(0.01)
python animation matplotlib curve
python animation matplotlib curve
asked Nov 22 at 16:49
DogBreath
296
asked Nov 22 at 16:49
DogBreath
296
edited Nov 22 at 17:12
asked Nov 22 at 16:49
DogBreath
296
asked Nov 22 at 16:49
DogBreath
296
asked Nov 22 at 16:49
DogBreath
296
296
Did you look at this example?
– ImportanceOfBeingErnest
Nov 22 at 19:45
add a comment |
Did you look at this example?
– ImportanceOfBeingErnest
Nov 22 at 19:45
Did you look at this example?
– ImportanceOfBeingErnest
Nov 22 at 19:45
Did you look at this example?
– ImportanceOfBeingErnest
Nov 22 at 19:45
add a comment |
1 Answer
1
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oldest
votes
up vote
0
down vote
Disclaimer, this uses a library I wrote called celluloid. There was some discussion about its merits in another answer. That being said here's basically your code with some celluloid lines sprinkled in:
import matplotlib
matplotlib.use('Agg')
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt
import math
from celluloid import Camera
plt.rcParams['legend.fontsize'] = 10
fig = plt.figure()
ax = fig.gca(projection='3d')
camera = Camera(fig)
i = 10
x=
y=
z=
# Prepare arrays x, y, z
for theta in np.arange(0, 4*np.pi, 0.05):
z += [i]
r = i**2 + 1
x += [r * math.sin(theta)]
y += [r * math.cos(theta)]
i +=1
ax.plot(x, y, z, color='blue')
camera.snap()
anim = camera.animate(blit=False, interval=10)
anim.save('3d.mp4')
Which can be turned into a gif like this:
answered Nov 24 at 2:13
Jacques Kvam
1,173921
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
Disclaimer, this uses a library I wrote called celluloid. There was some discussion about its merits in another answer. That being said here's basically your code with some celluloid lines sprinkled in:
import matplotlib
matplotlib.use('Agg')
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt
import math
from celluloid import Camera
plt.rcParams['legend.fontsize'] = 10
fig = plt.figure()
ax = fig.gca(projection='3d')
camera = Camera(fig)
i = 10
x=
y=
z=
# Prepare arrays x, y, z
for theta in np.arange(0, 4*np.pi, 0.05):
z += [i]
r = i**2 + 1
x += [r * math.sin(theta)]
y += [r * math.cos(theta)]
i +=1
ax.plot(x, y, z, color='blue')
camera.snap()
anim = camera.animate(blit=False, interval=10)
anim.save('3d.mp4')
Which can be turned into a gif like this:
answered Nov 24 at 2:13
Jacques Kvam
1,173921
add a comment |
up vote
0
down vote
Disclaimer, this uses a library I wrote called celluloid. There was some discussion about its merits in another answer. That being said here's basically your code with some celluloid lines sprinkled in:
import matplotlib
matplotlib.use('Agg')
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt
import math
from celluloid import Camera
plt.rcParams['legend.fontsize'] = 10
fig = plt.figure()
ax = fig.gca(projection='3d')
camera = Camera(fig)
i = 10
x=
y=
z=
# Prepare arrays x, y, z
for theta in np.arange(0, 4*np.pi, 0.05):
z += [i]
r = i**2 + 1
x += [r * math.sin(theta)]
y += [r * math.cos(theta)]
i +=1
ax.plot(x, y, z, color='blue')
camera.snap()
anim = camera.animate(blit=False, interval=10)
anim.save('3d.mp4')
Which can be turned into a gif like this:
answered Nov 24 at 2:13
Jacques Kvam
1,173921
add a comment |
up vote
0
down vote
up vote
0
down vote
Disclaimer, this uses a library I wrote called celluloid. There was some discussion about its merits in another answer. That being said here's basically your code with some celluloid lines sprinkled in:
import matplotlib
matplotlib.use('Agg')
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt
import math
from celluloid import Camera
plt.rcParams['legend.fontsize'] = 10
fig = plt.figure()
ax = fig.gca(projection='3d')
camera = Camera(fig)
i = 10
x=
y=
z=
# Prepare arrays x, y, z
for theta in np.arange(0, 4*np.pi, 0.05):
z += [i]
r = i**2 + 1
x += [r * math.sin(theta)]
y += [r * math.cos(theta)]
i +=1
ax.plot(x, y, z, color='blue')
camera.snap()
anim = camera.animate(blit=False, interval=10)
anim.save('3d.mp4')
Which can be turned into a gif like this:
answered Nov 24 at 2:13
Jacques Kvam
1,173921
Disclaimer, this uses a library I wrote called celluloid. There was some discussion about its merits in another answer. That being said here's basically your code with some celluloid lines sprinkled in:
import matplotlib
matplotlib.use('Agg')
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt
import math
from celluloid import Camera
plt.rcParams['legend.fontsize'] = 10
fig = plt.figure()
ax = fig.gca(projection='3d')
camera = Camera(fig)
i = 10
x=
y=
z=
# Prepare arrays x, y, z
for theta in np.arange(0, 4*np.pi, 0.05):
z += [i]
r = i**2 + 1
x += [r * math.sin(theta)]
y += [r * math.cos(theta)]
i +=1
ax.plot(x, y, z, color='blue')
camera.snap()
anim = camera.animate(blit=False, interval=10)
anim.save('3d.mp4')
Which can be turned into a gif like this:
answered Nov 24 at 2:13
Jacques Kvam
1,173921
answered Nov 24 at 2:13
Jacques Kvam
1,173921
answered Nov 24 at 2:13
Jacques Kvam
1,173921
answered Nov 24 at 2:13
Jacques Kvam
1,173921
1,173921
add a comment |
add a comment |
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Did you look at this example?
– ImportanceOfBeingErnest
Nov 22 at 19:45