[Matplotlib-users] Matplotlib 3D: Remove axis ticks & draw upper edge border?

[Mike Kaufman]

What I did as a workaround this is to modify the plot limits:

#########################################################################
#
#########################################################################
def equalize_plotlimits_3d(ax):

   xl = ax.get_xlim()
   yl = ax.get_ylim()
   zl = ax.get_zlim()

   xr = xl[1] - xl[0]
   yr = yl[1] - yl[0]
   zr = zl[1] - zl[0]

   xave = (xl[1] + xl[0])/2
   yave = (yl[1] + yl[0])/2
   zave = (zl[1] + zl[0])/2

   maxr = max([xr,yr,zr])

   ax.set_xlim(xave-maxr/2, xave+maxr/2)
   ax.set_ylim(yave-maxr/2, yave+maxr/2)
   ax.set_zlim(zave-maxr/2, zave+maxr/2)

   xl = ax.get_xlim()
   yl = ax.get_ylim()
   zl = ax.get_zlim()

   return [xl,yl,zl]

#########################################################################
#
#########################################################################
def pan(axis, shift, ax=None, dodraw=True):

   if not ax: ax = gca()

   which = dict(x=0,y=1,z=2)
   setter = [ax.set_xlim, ax.set_ylim, ax.set_zlim]
   getter = [ax.get_xlim, ax.get_ylim, ax.get_zlim]

   lim = getter[which[axis]]()
   lim[0] += shift
   lim[1] += shift

   setter[which[axis]](lim)
   if dodraw:
     draw()

def xpan(*args, **kwargs):
   pan('x', *args, **kwargs)
def ypan(*args, **kwargs):
   pan('y', *args, **kwargs)
def zpan(*args, **kwargs):
   pan('z', *args, **kwargs)

#########################################################################
#
#########################################################################
def zoom(scale, ax=None, dodraw=True):

   if not ax: ax = gca()

   xl = ax.get_xlim()
   yl = ax.get_ylim()
   zl = ax.get_zlim()

   xr = xl[1] - xl[0]
   yr = yl[1] - yl[0]
   zr = zl[1] - zl[0]

   xave = (xl[1] + xl[0])/2
   yave = (yl[1] + yl[0])/2
   zave = (zl[1] + zl[0])/2

   maxr = max([xr,yr,zr])

   ax.set_xlim(xave-maxr/2/scale, xave+maxr/2/scale)
   ax.set_ylim(yave-maxr/2/scale, yave+maxr/2/scale)
   ax.set_zlim(zave-maxr/2/scale, zave+maxr/2/scale)

   xl = ax.get_xlim()
   yl = ax.get_ylim()
   zl = ax.get_zlim()

   if dodraw:
     draw()


On 3/1/18 11:44 AM, Benjamin Root wrote:
> Sorry, those features are just not possible with the current design. The 
> code assumes that all rotations are done from the center. And the tick 
> marks aren't handled the same way they are in 2D graphs, unfortunately. 
> Also, the code has just three backing panels. It is possible to make one 
> or more of them invisible, but you can't add more panels. In fact, you 
> wouldn't want other panels to appear because it is assumed that these 
> panels will always appear behind any other artists. Any other panels 
> would run the risk of being composed incorrectly with the contents of 
> the plot, creating "Escher effects" -- visual paradoxes. Nothing is 
> stopping you, though, from putting in your own panel from a Poly3D or 
> Patch3D object. In fact, you can just create a Patch artist and put it 
> through the 2d to 3d converter function in mplot3d.art3d.
> 
> I would consider the current state of tick control to be buggy, and I 
> agree that effort should be spent fixing it. Having the ability to 
> specify an arbitrary point of rotation is an interesting feature and I 
> wouldn't be opposed to a merge request adding that feature.
> 
> 
> On Thu, Mar 1, 2018 at 8:30 AM, fosa <jayme.c.fosa at gmail.com 
> <mailto:jayme.c.fosa at gmail.com>> wrote:
> 
>     Hello,
> 
>     I've been trying to no avail to use the settings that usually work with
>     matplotlib 2D.  I'd like to remove the 3D graph ticks, and extend the
>     darkened color edge to the upper sides as well.  As a bonus if
>     someone knows
>     how to control the axis of rotation for a 3d animation, to effectively
>     control the centering, that would be a great help as well.
> 
>     Here is a self contained code block that I've been hacking away at
>     with a
>     dull knife:
> 
>     import numpy as np
>     import matplotlib as mpl
>     from matplotlib import pyplot as plt
>     from matplotlib import animation
>     from mpl_toolkits.mplot3d import Axes3D
> 
>     mpl.rcParams['ytick.color'] = 'white'
>     #mpl.rcParams['ytick.left'] = False
> 
>     sample = np.random.random_integers(low=1,high=5, size=(10,3))
> 
>     # Create a figure and a 3D Axes
>     fig = plt.figure(figsize=(5,5))
> 
>     ax = Axes3D(fig)
> 
>     #ax.w_xaxis.set_tick_params(color='white')
> 
>     #ax.axes.tick_params
>     ax.axes.tick_params(bottom=False, color='blue')
>     ##['size', 'width', 'color', 'tickdir', 'pad', 'labelsize',
>     ##'labelcolor', 'zorder', 'gridOn', 'tick1On', 'tick2On',
>     ##'label1On', 'label2On', 'length', 'direction', 'left', 'bottom',
>     ##'right', 'top', 'labelleft', 'labelbottom',
>     ##'labelright', 'labeltop', 'labelrotation']
> 
>     colors = np.mean(sample[:, :], axis=1)
> 
>     ax.scatter(sample[:,0], sample[:,1], sample[:,2],
> 
>                 marker='o', s=20, c=colors, alpha=1)
> 
>     ax.tick_params(color='red')
>     ax.spines['left'].set_color('green')
> 
>     frame1 = plt.gca()
>     frame1.axes.xaxis.set_visible(False)
>     #frame1.axes.xaxis.axes.set_xticks([])
>     frame1.axes.xaxis.set_ticklabels([])
>     frame1.axes.yaxis.set_ticklabels([])
>     frame1.axes.zaxis.set_ticklabels([])
>     #frame1.axes.yaxis.set_tick_params(color='white')
> 
>     And the image it generates:
>     <http://matplotlib.1069221.n5.nabble.com/file/t5138/3dSO.png
>     <http://matplotlib.1069221.n5.nabble.com/file/t5138/3dSO.png>>
> 
>     Setting #frame1.axes.xaxis.axes.set_xticks([]) causes all the grid
>     lines to
>     disappear, instead of just the ticks themselves.
>     Is it required to go into whatever is drawing/rendering and adjust the
>     length of the grid line? T_T
> 
> 
> 
> 
> 
>     --
>     Sent from:
>     http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html
>     <http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html>
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