Activity

1. san-chang commented on Feb 27, 2017

   

   san-chang

   on Feb 27, 2017

   Author

   More actions

   code example:

   I'd like to know if all user have the same problem or just me

   lag while drap figure window

   """
   ============
   3D animation
   ============
   
   A simple example of an animated plot... In 3D!
   """
   import numpy as np
   import matplotlib.pyplot as plt
   import mpl_toolkits.mplot3d.axes3d as p3
   import matplotlib.animation as animation
   
   
   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 = p3.Axes3D(fig)
   
   # Fifty lines of random 3-D lines
   data = [Gen_RandLine(100, 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, 100, fargs=(data, lines),
                                      interval=50, blit=False)
   
   plt.show()

   can not rotator or scale plot using mouse:

   """
   ============
   3D animation
   ============
   
   A simple example of an animated plot... In 3D!
   """
   import numpy as np
   import matplotlib.pyplot as plt
   import mpl_toolkits.mplot3d.axes3d as p3
   import matplotlib.animation as animation
   
   
   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 = p3.Axes3D(fig)
   
   # Fifty lines of random 3-D lines
   data = [Gen_RandLine(100, 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, 100, fargs=(data, lines),
                                      interval=50, blit=True)
   
   plt.show()
2. WeatherGod commented on Feb 27, 2017

   

   WeatherGod

   on Feb 27, 2017

   Member

   More actions

   Yes, this is a known issue that hasn't been fully fixed in mplot3d. It works in 2d because the blitting code has taken into account most of the interactivity events that matplotlib comes with normally. So, the blitting code knows to re-capture the background image after a pan/zoom. However, the mplot3d code adds new events for its interactivity, and as such, the blitting code does not know to re-capture the background image.

   Might be a fun little task for an adventurous soul...
3. dstansby

   added

   topic: animation

   topic: mplot3d

   on Feb 27, 2017
4. dstansby

   added this to the This milestone has been deleted milestone on Feb 27, 2017
5. wlxing1901 commented on Oct 23, 2019

   

   wlxing1901

   on Oct 23, 2019

   More actions

   I met the same issue, is the bug fixed in version 2.2? I use matplotlib 3.1.0 and still find the issue.
6. timhoffm commented on Oct 23, 2019

   

   timhoffm

   on Oct 23, 2019

   Member

   More actions

   Since this is still open and no PR references this and you're still finding the issue in 3.1, I have no indication that it could be fixed.
7. anntzer commented on Mar 30, 2020

   

   anntzer

   on Mar 30, 2020

   Contributor

   More actions

   This has likely been fixed by #16070 (only in master), so closing, but feel free to request a reopen with a repro on master.
8. anntzer

   closed this as completedon Mar 30, 2020
9. story645

   removed this from the future releases milestone on Oct 6, 2022