[Matplotlib-users] 2D data plotted in a 3D plot by adding time flow dimension

[arjunascagnetto]

hi,


I try to make my question as clear as possible. I need to plot 2 dimensional
data coming from the serial onto a 3d plot with the third axes made of time
flowing.

I wrote this code (it's just one of the many tries). It's about the plotting
only, not worring about buffer from serial etc etc...




With set_data i have a static picture, with ax.plot at every for index I
can't understand what's happening.

any help would be really appreciate.



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[Benjamin Root]

Looks like nabble swallowed your code snippet. Here it is:

```

import matplotlib.pyplot as plt
import mpl_toolkits.mplot3d.axes3d as p3
import numpy.random as rnd
import numpy as np

TILL = 200 # just to have an end in the for loop

def SSI(t): #Simulated Serial Input
T = np.asarray(t)
X = np.sin(T)
Y = np.cos(T)
return X,Y,T

t = range(0,TILL/2)

plt.ion()
fig = plt.figure()
ax = p3.Axes3D(fig)
#ax = fig.gca(projection='3d') # same result as Axes3D
X,Y,T = SSI(t)
g, = ax.plot(X,Y,T) # for set_data method
#ax.plot(X,Y,T) # not using set_data method

plt.ylim([-1.5,1.5])
plt.xlim([-1.5,1.5])

for i in range(TILL):
val = rnd.random(1)
t.append(val)
t.pop(0)
X,Y,T = SSI(t)
#plt.plot(X,Y,T)
g.set_data(X,Y) #
#ax.set_zlim(i,i+100) # to make the time axis sliding
plt.draw()
#g.axes.figure.canvas.draw() # Same result as plt.draw()


```

Unfortunately, IIRC, set_data() for the 3d objects is probably not what you
want. See https://github.com/matplotlib/matplotlib/issues/1483.

Ben Root

Post by arjunascagnetto
hi,
I try to make my question as clear as possible. I need to plot 2 dimensional
data coming from the serial onto a 3d plot with the third axes made of time
flowing.
I wrote this code (it's just one of the many tries). It's about the plotting
only, not worring about buffer from serial etc etc...
With set_data i have a static picture, with ax.plot at every for index I
can't understand what's happening.
any help would be really appreciate.
--
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Sent from the matplotlib - users mailing list archive at Nabble.com.
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[arjunascagnetto]

yes you've got it. Thanks for the link. Just some days after posting this
question i succeced and i found out the set_3d_proprierties function doing
the magic. Here the clean code.

import matplotlib.pyplot as plt
import numpy as np
from mpl_toolkits.mplot3d import Axes3D

t=np.linspace(0,10,1000)
x=np.sin(t)
y=np.cos(t)

plt.ion()

fig = plt.figure()
ax = fig.gca(projection='3d')
line, = ax.plot(x,y,t)

for i in range(400):
t=np.linspace(i,i+30,1000)
ax.set_zlim(i,i+100)
x=np.sin(t)
y=np.cos(t)
line.set_data(x,y)
line.set_3d_properties(t)
plt.draw()



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