Mixing
Matplotlib Animation: how to dynamically extend x limits?
0
I have a simple animation plot like so:
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import animation
# First set up the figure, the axis, and the plot element we want to animate
fig = plt.figure()
ax = plt.axes(xlim=(0, 100), ylim=(0, 100))
line, = ax.plot(, , lw=2)
x =
y =
# initialization function: plot the background of each frame
def init():
line.set_data(, )
return line,
# animation function. This is called sequentially
def animate(i):
x.append(i + 1)
y.append(10)
line.set_data(x, y)
return line,
# call the animator. blit=True means only re-draw the parts that have changed.
anim = animation.FuncAnimation(fig, animate, init_func=init,
frames=200, interval=20, blit=True)
plt.show()
Now, this works okay, but I want it to expand like one of the subplots in here http://www.roboticslab.ca/matplotlib-animation/ where the x-axis dynamically extends to accommodate the incoming data points.
How do I accomplish this?
python python-3.x animation matplotlib
asked Nov 22 '18 at 4:23
nz_21nz_21
2031211
add a comment |
0
I have a simple animation plot like so:
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import animation
# First set up the figure, the axis, and the plot element we want to animate
fig = plt.figure()
ax = plt.axes(xlim=(0, 100), ylim=(0, 100))
line, = ax.plot(, , lw=2)
x =
y =
# initialization function: plot the background of each frame
def init():
line.set_data(, )
return line,
# animation function. This is called sequentially
def animate(i):
x.append(i + 1)
y.append(10)
line.set_data(x, y)
return line,
# call the animator. blit=True means only re-draw the parts that have changed.
anim = animation.FuncAnimation(fig, animate, init_func=init,
frames=200, interval=20, blit=True)
plt.show()
Now, this works okay, but I want it to expand like one of the subplots in here http://www.roboticslab.ca/matplotlib-animation/ where the x-axis dynamically extends to accommodate the incoming data points.
How do I accomplish this?
python python-3.x animation matplotlib
asked Nov 22 '18 at 4:23
nz_21nz_21
2031211
1
You cannot do this when using blitting. But if you turn it off, you may just useax.set_xlim(newxmin, newxmax)to change the limits in your animating function.
– ImportanceOfBeingErnest
Nov 22 '18 at 4:58
@ImportanceOfBeingErnest awesome, thanks, that worked! :)
– nz_21
Nov 22 '18 at 5:54
add a comment |
0
0
0
I have a simple animation plot like so:
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import animation
# First set up the figure, the axis, and the plot element we want to animate
fig = plt.figure()
ax = plt.axes(xlim=(0, 100), ylim=(0, 100))
line, = ax.plot(, , lw=2)
x =
y =
# initialization function: plot the background of each frame
def init():
line.set_data(, )
return line,
# animation function. This is called sequentially
def animate(i):
x.append(i + 1)
y.append(10)
line.set_data(x, y)
return line,
# call the animator. blit=True means only re-draw the parts that have changed.
anim = animation.FuncAnimation(fig, animate, init_func=init,
frames=200, interval=20, blit=True)
plt.show()
Now, this works okay, but I want it to expand like one of the subplots in here http://www.roboticslab.ca/matplotlib-animation/ where the x-axis dynamically extends to accommodate the incoming data points.
How do I accomplish this?
python python-3.x animation matplotlib
asked Nov 22 '18 at 4:23
nz_21nz_21
2031211
I have a simple animation plot like so:
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import animation
# First set up the figure, the axis, and the plot element we want to animate
fig = plt.figure()
ax = plt.axes(xlim=(0, 100), ylim=(0, 100))
line, = ax.plot(, , lw=2)
x =
y =
# initialization function: plot the background of each frame
def init():
line.set_data(, )
return line,
# animation function. This is called sequentially
def animate(i):
x.append(i + 1)
y.append(10)
line.set_data(x, y)
return line,
# call the animator. blit=True means only re-draw the parts that have changed.
anim = animation.FuncAnimation(fig, animate, init_func=init,
frames=200, interval=20, blit=True)
plt.show()
Now, this works okay, but I want it to expand like one of the subplots in here http://www.roboticslab.ca/matplotlib-animation/ where the x-axis dynamically extends to accommodate the incoming data points.
How do I accomplish this?
python python-3.x animation matplotlib
python python-3.x animation matplotlib
asked Nov 22 '18 at 4:23
nz_21nz_21
2031211
asked Nov 22 '18 at 4:23
nz_21nz_21
2031211
asked Nov 22 '18 at 4:23
nz_21nz_21
2031211
asked Nov 22 '18 at 4:23
nz_21nz_21
2031211
asked Nov 22 '18 at 4:23
nz_21nz_21
2031211
2031211
1
You cannot do this when using blitting. But if you turn it off, you may just useax.set_xlim(newxmin, newxmax)to change the limits in your animating function.
– ImportanceOfBeingErnest
Nov 22 '18 at 4:58
@ImportanceOfBeingErnest awesome, thanks, that worked! :)
– nz_21
Nov 22 '18 at 5:54
add a comment |
1
You cannot do this when using blitting. But if you turn it off, you may just useax.set_xlim(newxmin, newxmax)to change the limits in your animating function.
– ImportanceOfBeingErnest
Nov 22 '18 at 4:58
@ImportanceOfBeingErnest awesome, thanks, that worked! :)
– nz_21
Nov 22 '18 at 5:54
1
1
You cannot do this when using blitting. But if you turn it off, you may just use
ax.set_xlim(newxmin, newxmax) to change the limits in your animating function.– ImportanceOfBeingErnest
Nov 22 '18 at 4:58
You cannot do this when using blitting. But if you turn it off, you may just use
ax.set_xlim(newxmin, newxmax) to change the limits in your animating function.– ImportanceOfBeingErnest
Nov 22 '18 at 4:58
@ImportanceOfBeingErnest awesome, thanks, that worked! :)
– nz_21
Nov 22 '18 at 5:54
@ImportanceOfBeingErnest awesome, thanks, that worked! :)
– nz_21
Nov 22 '18 at 5:54
add a comment |
0
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1
You cannot do this when using blitting. But if you turn it off, you may just use
ax.set_xlim(newxmin, newxmax)to change the limits in your animating function.– ImportanceOfBeingErnest
Nov 22 '18 at 4:58
@ImportanceOfBeingErnest awesome, thanks, that worked! :)
– nz_21
Nov 22 '18 at 5:54