matplotlib-users Mailing List for matplotlib

Hi All,

To follow up on my own post - because my curtains and contours were well-ordered, I simply set the "zorder" on each call and got the right effect.  

Thanks,   Jody

On Sep 25, 2013, at  15:15 PM, Jody Klymak <jk...@uv...> wrote:

> 	
> Hi all,
> 
> I am trying to make 3-D "curtain" plots.  Basically, x,y are N-vectors, z is an M-vector, and C is MxN data set collected on the path with z.  Application is a ship's track through the ocean. I also want to be able to contour a second variable C2 also MxN. I know how to do that, but the example below just uses plot3D, because thats how I do the curtain contouring.  
> 
> If I plot three such "curtains" they look OK, including the magenta line in each.  
> 
> If I plot a fourth, the magenta line is obscured by the curtain, and so on for more curtains.
> 
> <bad3dslices.png>
> 
> Any clue what the problem is? The code for this example is below, and I think is self contained, plus or minus running in pylab.
> 
> Thanks,  Jody
> 
> from mpl_toolkits.mplot3d import Axes3D
> from matplotlib import cm
> import matplotlib.pyplot as plt
> import numpy as np
> 
> n=0
> fig = figure()
> for Nn in array([3,4]):
>     n=n+1
>     ax = fig.add_subplot(2,1,n,projection='3d')
>     for off in arange(0,Nn*2,2)*50.:
>         
>         x = np.arange(-5, 5, .5)
>         y = np.arange(-5, 5, .5)
>         Z = np.arange(0,200,1)
>         Z=np.tile(np.reshape(Z,(200,1)),(1,size(y)))
>         X = np.tile(y,(200,1))
>         Y = np.tile(y,(200,1))
>                
>         N = X*Y*Z
>         N = N/N.max()  # normalize 0..1
>         surf = ax.plot_surface(
>             X+off, Y, Z, rstride=20, cstride=4,
>             facecolors=cm.jet(N),
>             linewidth=0, antialiased=False, shade=False,alpha=0.9)
>         ax.plot(x+off+0.001,y,(y+5)*25.,'m')
>     ax.set_xlim([-50,350])
>     ax.set_ylim([-8.,8.])
>     fig.savefig('doc/bad3dslices.png',res=72)
> 
> --
> Jody Klymak    
> http://web.uvic.ca/~jklymak/
> 
> 
> 
> 
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--
Jody Klymak    
http://web.uvic.ca/~jklymak/

Is there a way to force matplotlib to build (on Mac, 10.6, Xcode 3) against
a specific, non-standard location of libpng?  Right now it appears to be
linking to /usr/X11/lib/libpng12.0.dylib, which is making it very difficult
to install the resulting binaries on other Macs.  I couldn't figure out a
way to point it somewhere else.

thanks,
Nat

Hey,

I'm trying to plot streamplots into an axesgrid object with something
like:

fig = pl.figure(1, (13, 20))
grid = AxesGrid(fig, 111,
                nrows_ncols = (3, 2),
                axes_pad = 0.6,
                cbar_location = 'top',
                cbar_mode = 'each',
                cbar_size = '2%',
                cbar_pad = '1%',
               )
[...]
    norm = mpl.colors.LogNorm(vmin=1, vmax=5000)
    im = grid[i].streamplot(XPTS, YPTS, zx, zy,
                            color=zr,
                            arrowsize=.001,
                            norm=norm)
    grid.cbar_axes[i].colorbar(im)
[...]

and then it failes with:

Traceback (most recent call last):
  File "./results.py", line 96, in <module>
    grid.cbar_axes[i].colorbar(im)
  File
"/usr/lib/python2.7/site-packages/mpl_toolkits/axes_grid1/axes_grid.py",
line 85, in colorbar cb = Colorbar(self, mappable,
orientation=orientation, **kwargs) File
"/usr/lib/python2.7/site-packages/mpl_toolkits/axes_grid1/colorbar.py",
line 706, in __init__ mappable.autoscale_None() # Ensure
mappable.norm.vmin, vmax AttributeError: 'StreamplotSet' object has no
attribute 'autoscale_None'

can't I use streamplots in axesgrid? If I comment out the colorbar for
the streamplot colors it works ...
Is this a bug? Is there a right way to do it? Is there a work around?

Many thanks in advance!

Regards, Yoshi