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Unfortunately, no. I have made several attempts at implementing this, with
the last attempt during the sprints at SciPy 2014. I got tantalizingly
close, but it fell apart as I tried to bring all the pieces back together.
The mplot3d code is actually very old and doesn't use the transforms system
very well, nor does the transform system extend nicely to 3d.

If anybody wants to re-attack this problem, I would suggest by starting
with creating some 3d->2d projection classes to be added to the transforms
system, and get unit tests for these. From there, axis3d and art3d needs to
be piece-by-piece remade to properly build on the trasnforms stack.

Sorry for the lack of happier news. The only work-around that I can think
of is to apply the log scaling yourself to the data prior to plotting.

Ben Root


On Thu, Jan 29, 2015 at 5:30 PM, John Ladasky <joh...@sb...>
wrote:

>  The following minimal code example illustrates a problem I'm having.
>
> import matplotlib.pyplot as plt
> from mpl_toolkits.mplot3d import Axes3D
>
> # succeeds
> fig = plt.figure()
> ax = fig.add_subplot(111, projection='3d')
> plt.show()
>
> # succeeds
> fig = plt.figure()
> ax = fig.add_subplot(111)
> ax.set_xscale("log")
> plt.show()
>
> # fails
> fig = plt.figure()
> ax = fig.add_subplot(111, projection='3d')
> ax.set_xscale("log")
> plt.show()
>
>
> Here is the traceback:
>
> Exception in Tkinter callback
> Traceback (most recent call last):
>   File "/usr/lib/python3.4/tkinter/__init__.py", line 1490, in __call__
>     return self.func(*args)
>   File
> "/usr/lib/python3/dist-packages/matplotlib/backends/backend_tkagg.py", line
> 276, in resize
>     self.show()
>   File
> "/usr/lib/python3/dist-packages/matplotlib/backends/backend_tkagg.py", line
> 348, in draw
>     FigureCanvasAgg.draw(self)
>   File
> "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py", line
> 451, in draw
>     self.figure.draw(self.renderer)
>   File "/usr/lib/python3/dist-packages/matplotlib/artist.py", line 56, in
> draw_wrapper
>     draw(artist, renderer, *args, **kwargs)
>   File "/usr/lib/python3/dist-packages/matplotlib/figure.py", line 1035,
> in draw
>     func(*args)
>   File "/usr/lib/python3/dist-packages/mpl_toolkits/mplot3d/axes3d.py",
> line 267, in draw
>     ax.draw(renderer)
>   File "/usr/lib/python3/dist-packages/mpl_toolkits/mplot3d/axis3d.py",
> line 404, in draw
>     tick.draw(renderer)
>   File "/usr/lib/python3/dist-packages/matplotlib/artist.py", line 56, in
> draw_wrapper
>     draw(artist, renderer, *args, **kwargs)
>   File "/usr/lib/python3/dist-packages/matplotlib/axis.py", line 242, in
> draw
>     self.label1.draw(renderer)
>   File "/usr/lib/python3/dist-packages/matplotlib/artist.py", line 56, in
> draw_wrapper
>     draw(artist, renderer, *args, **kwargs)
>   File "/usr/lib/python3/dist-packages/matplotlib/text.py", line 599, in
> draw
>     ismath=ismath, mtext=self)
>   File
> "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py", line
> 169, in draw_text
>     return self.draw_mathtext(gc, x, y, s, prop, angle)
>   File
> "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py", line
> 158, in draw_mathtext
>     x = np.round(x + ox + xd)
>   File "/usr/lib/python3/dist-packages/numpy/core/fromnumeric.py", line
> 2629, in round_
>     return round(decimals, out)
>   File "/usr/lib/python3/dist-packages/numpy/ma/core.py", line 4855, in
> round
>     result._mask = self._mask
> AttributeError: 'numpy.float64' object has no attribute '_mask'
>
> I am hoping to use logarithmic axes in a 3D plot.  I haven't found
> anything in the documentation which says that I am restricted to linear
> scaling.  My system configuration is: Python 3.4, Matplotlib 1.3.1, Ubuntu
> Linux 14.04 64-bit.  My system is selecting the TKAgg backend.
>
> Any advice is appreciated, thanks!
>
>
>
>
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>

The following minimal code example illustrates a problem I'm having.

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

    # succeeds
    fig = plt.figure()
    ax = fig.add_subplot(111, projection='3d')
    plt.show()

    # succeeds
    fig = plt.figure()
    ax = fig.add_subplot(111)
    ax.set_xscale("log")
    plt.show()

    # fails
    fig = plt.figure()
    ax = fig.add_subplot(111, projection='3d')
    ax.set_xscale("log")
    plt.show()


Here is the traceback:

    Exception in Tkinter callback
    Traceback (most recent call last):
       File "/usr/lib/python3.4/tkinter/__init__.py", line 1490, in __call__
         return self.func(*args)
       File
    "/usr/lib/python3/dist-packages/matplotlib/backends/backend_tkagg.py",
    line 276, in resize
         self.show()
       File
    "/usr/lib/python3/dist-packages/matplotlib/backends/backend_tkagg.py",
    line 348, in draw
         FigureCanvasAgg.draw(self)
       File
    "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py",
    line 451, in draw
         self.figure.draw(self.renderer)
       File "/usr/lib/python3/dist-packages/matplotlib/artist.py", line
    56, in draw_wrapper
         draw(artist, renderer, *args, **kwargs)
       File "/usr/lib/python3/dist-packages/matplotlib/figure.py", line
    1035, in draw
         func(*args)
       File
    "/usr/lib/python3/dist-packages/mpl_toolkits/mplot3d/axes3d.py",
    line 267, in draw
         ax.draw(renderer)
       File
    "/usr/lib/python3/dist-packages/mpl_toolkits/mplot3d/axis3d.py",
    line 404, in draw
         tick.draw(renderer)
       File "/usr/lib/python3/dist-packages/matplotlib/artist.py", line
    56, in draw_wrapper
         draw(artist, renderer, *args, **kwargs)
       File "/usr/lib/python3/dist-packages/matplotlib/axis.py", line
    242, in draw
         self.label1.draw(renderer)
       File "/usr/lib/python3/dist-packages/matplotlib/artist.py", line
    56, in draw_wrapper
         draw(artist, renderer, *args, **kwargs)
       File "/usr/lib/python3/dist-packages/matplotlib/text.py", line
    599, in draw
         ismath=ismath, mtext=self)
       File
    "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py",
    line 169, in draw_text
         return self.draw_mathtext(gc, x, y, s, prop, angle)
       File
    "/usr/lib/python3/dist-packages/matplotlib/backends/backend_agg.py",
    line 158, in draw_mathtext
         x = np.round(x + ox + xd)
       File "/usr/lib/python3/dist-packages/numpy/core/fromnumeric.py",
    line 2629, in round_
         return round(decimals, out)
       File "/usr/lib/python3/dist-packages/numpy/ma/core.py", line
    4855, in round
         result._mask = self._mask
    AttributeError: 'numpy.float64' object has no attribute '_mask'

I am hoping to use logarithmic axes in a 3D plot.  I haven't found 
anything in the documentation which says that I am restricted to linear 
scaling.  My system configuration is: Python 3.4, Matplotlib 1.3.1, 
Ubuntu Linux 14.04 64-bit.  My system is selecting the TKAgg backend.

Any advice is appreciated, thanks!