matplotlib-users Mailing List for matplotlib

I can confirm this bug on matplotlib-0.99.0, and 0.99.1.2, but not on 
SVN head.  I think this is related to a recently fixed bug involving the 
renderer outputting single-point lines (which obviously doesn't make 
sense, and Postscript has problems with).

You can either install from SVN (I recommend using the 0.99.x branch 
[1], rather than the trunk), or set the rcParam 'path.simplify' to 
False.  Unfortunately, the latter will result in some very large file sizes.

[1] https://matplotlib.svn.sf.net/svnroot/matplotlib/branches/v0_99_maint

Cheers,
Mike

Michael Cohen wrote:
> Hi there,
> Does anyone know what might be the problem with this EPS write?
> Please see my email of Dec 6th for the attachments.
>
> Regards,
> Michael
>
> Michael Cohen wrote:
>   
>> Hi,
>>
>> Sorry for taking a few days to reply.
>> Basic system information
>>
>> $ uname -a
>> Linux shc-b 2.6.18-128.1.10.el5 #1 SMP Wed Apr 29 13:53:08 EDT 2009 
>> x86_64 x86_64 x86_64 GNU/Linux
>> $ head -n1 /etc/issue
>> Red Hat Enterprise Linux Server release 5.3 (Tikanga)
>> $
>>
>> matplotlibrc attached.
>>
>> plot_test.py attached also.
>>
>> $ python
>> Python 2.6.2 (r262:71600, Sep 16 2009, 13:37:23)
>> [GCC 4.1.2 20080704 (Red Hat 4.1.2-44)] on linux2
>> Type "help", "copyright", "credits" or "license" for more information.
>>  >>> import matplotlib
>>  >>> print matplotlib.__version__
>> 0.99.0
>>  >>>
>>
>> finally, failed output eps also attached.
>>
>> The plot generates a set of horizontal and vertical lines to make a 
>> grid, and then applies the Mollweide projection to give latitude and 
>> longitude lines.
>> For some reason, not running the projection (i.e. lines 43-51 in the 
>> python script) gives a file that outputs as a nice eps.  If you do keep 
>> the Mollweide projection in, you still generate a lovely plot, but the 
>> savefig to .eps fails.
>>
>> Thanks,
>> Michael
>>
>>
>> John Hunter wrote:
>>     
>>> On Wed, Dec 2, 2009 at 3:20 PM, Michael Cohen <mc...@ca...> wrote:
>>>       
>>>> Hi,
>>>> To add more information.  I am trying this on two separate installs of
>>>> matplotlib 0.99, both using TkAgg as the backend.  One produces an
>>>> unreadable file, the other does produce a readable EPS.  However, even
>>>> in this case, zooming in on the image shows that what is being saved is
>>>> bitmapped, not a vector graphic.
>>>>         
>>> Could you please post some sample code and the EPS it generates, as
>>> well as platform information and any specific rc settings you may
>>> have?
>>>
>>> Thanks,
>>> JDH
>>>       
>
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-- 
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA

Hi there,
Does anyone know what might be the problem with this EPS write?
Please see my email of Dec 6th for the attachments.

Regards,
Michael

Michael Cohen wrote:
> Hi,
> 
> Sorry for taking a few days to reply.
> Basic system information
> 
> $ uname -a
> Linux shc-b 2.6.18-128.1.10.el5 #1 SMP Wed Apr 29 13:53:08 EDT 2009 
> x86_64 x86_64 x86_64 GNU/Linux
> $ head -n1 /etc/issue
> Red Hat Enterprise Linux Server release 5.3 (Tikanga)
> $
> 
> matplotlibrc attached.
> 
> plot_test.py attached also.
> 
> $ python
> Python 2.6.2 (r262:71600, Sep 16 2009, 13:37:23)
> [GCC 4.1.2 20080704 (Red Hat 4.1.2-44)] on linux2
> Type "help", "copyright", "credits" or "license" for more information.
>  >>> import matplotlib
>  >>> print matplotlib.__version__
> 0.99.0
>  >>>
> 
> finally, failed output eps also attached.
> 
> The plot generates a set of horizontal and vertical lines to make a 
> grid, and then applies the Mollweide projection to give latitude and 
> longitude lines.
> For some reason, not running the projection (i.e. lines 43-51 in the 
> python script) gives a file that outputs as a nice eps.  If you do keep 
> the Mollweide projection in, you still generate a lovely plot, but the 
> savefig to .eps fails.
> 
> Thanks,
> Michael
> 
> 
> John Hunter wrote:
>> On Wed, Dec 2, 2009 at 3:20 PM, Michael Cohen <mc...@ca...> wrote:
>>> Hi,
>>> To add more information.  I am trying this on two separate installs of
>>> matplotlib 0.99, both using TkAgg as the backend.  One produces an
>>> unreadable file, the other does produce a readable EPS.  However, even
>>> in this case, zooming in on the image shows that what is being saved is
>>> bitmapped, not a vector graphic.
>>
>> Could you please post some sample code and the EPS it generates, as
>> well as platform information and any specific rc settings you may
>> have?
>>
>> Thanks,
>> JDH

All,

Here is my first attempt to draw a surface and a plane on the same  
axes using mplot3d.


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

fig=plt.figure()
ax = Axes3D(fig)

x=np.linspace(-2,2,40)
y=x
x, y = np.meshgrid(x,y)
z=9-x**2-y**2

ax.plot_surface(x,y,z,rstride=5,cstride=5)

xp=np.linspace(-2,2,40)
zp=np.linspace(0,9,40)
xp, zp=np.meshgrid(xp,zp)
yp=np.ones(xp.shape)

ax.plot_surface(xp,yp,zp)

plt.show()

The difficulty comes when I rotate the axes with the mouse. You cannot  
tell where the correct position of the plane is as you can when  
rotating a similar figure in Matlab. Is this a bug or a feature yet to  
be added? Is there a workaround I am not aware of at this early stage?

David Arnold
College of the Redwoods
Department of Mathematics

All,

Is there a page that explains in full the Axes3D command and exactly  
what can be passed as arguments to Axes3D command?

view?

etc.

Thanks,

David

Hi folks,

i have a problem with updating my graph. In some cases its works, but in
others the graph is not updated right away.
--------------------------------
...
def openls(self, event):
        dlg = wx.FileDialog(self, "Choose a Light Source", os.getcwd(), "",
"*.txt*", wx.OPEN)
        if dlg.ShowModal() == wx.ID_OK:
            pathls = dlg.GetPath()
            mypathls = os.path.basename(pathls)
            self.SetStatusText("Selected Light Source: %s" % mypathls)
            ls = numpy.loadtxt(pathls)
            ls = normspec(ls)
            self.gls, = self.axes.plot(ls[:,0],ls[:,1],'m-',lw=2, label =
mypathls)
            self.axes.axis([xmin,xmax,ymin,ymax])
            self.axes.legend(loc=4)
            self.plotPanel.draw()

        dlg.Destroy()

def show405(self, event):
        if self.sh405.IsChecked():
            self.l405, = self.axes.plot([wl[0],wl[0]],[ymin,ymax],'b', lw=2)
            self.axes.axis([xmin,xmax,ymin,ymax])
            self.plotPanel.draw()

...
-----------------------------------------------
openls --> the corresponding data are drwan right after pressing OK
show405 --> as soon as I check the check item, the graph is not updated
right away

If I select show405 first, I see nothing, but if I open a dataset afterwards
with openls, both graphs are shown. So the graph from show405 must be
somewhere ...

Thanks for your help.

Cheers,

Sebi

----------------------------------
Dr. Sebastian Rhode
Grünwalder Str. 103a
81547 München
Tel: +49 89 4703091
seb...@go...

Hi,

Animations of 3d scenes is a bit tricky, because set_data() functions
for wireframe and surface plots are not available. However, you can
still do it by creating new surfaces or wireframes every frame, and
removing the old one. I've attached an example that does this and will
be added to svn soon.

You could also rotate the 3d axes:

from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
import numpy as np

plt.ion()

fig = plt.figure()
ax = axes3d.Axes3D(fig)
X, Y, Z = axes3d.get_test_data(0.1)
ax.plot_wireframe(X, Y, Z, rstride=5, cstride=5)

for angle in range(0, 360):
    ax.view_init(30, angle)
    plt.draw()

Regards,
Reinier

2009/11/25 Sébastien Barthélemy <bar...@cr...>:
> Hello,
>
> I would like to do animations of a 3d scene. Thus I would need do to
> animation of some mplot3d-generated plot. Has somebody already tried it ? Is
> it possible at all ? My first test don't work, but I never did an animation
> in matplotlib before. I would like to be sure this is not a dead end befor
> digging deeper.
>
>  Thank you !
>
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>
>



-- 
Reinier Heeres
Tel: +31 6 10852639

2009/12/9 Jae-Joon Lee <lee...@gm...>:
> vp = leg._legend_box._children[-1]._children[0]
> for c in vp._children:
>    c._children.reverse()
> vp.align="right"

That's perfect, thank you very much :)

— Jason

plot([1,2,3], label="Label 1")
plot([2,1,3], label="Long Label 2")

leg = legend()

# swap_and_right_align_legend

vp = leg._legend_box._children[-1]._children[0]
for c in vp._children:
    c._children.reverse()
vp.align="right"

draw()

Does this close to waht you want?

-JJ


On Wed, Dec 9, 2009 at 12:28 AM, XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX wrote:
> Hi,
>
> Is it possible to right align the text and line samples in a legend box?
>
> That is, instead of:
>
> --- First plot
> --- Second plot
>
> ...you get:
>
>  First plot ---
>  Second plot ---
>
> (with a fixed width font, that last one displays the right edges of
> the text perfectly aligned).
>
> Cheers,
> Jason
>
> ------------------------------------------------------------------------------
> Return on Information:
> Google Enterprise Search pays you back
> Get the facts.
> http://p.sf.net/sfu/google-dev2dev
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Hi,

Is it possible to right align the text and line samples in a legend box?

That is, instead of:

--- First plot
--- Second plot

...you get:

  First plot ---
 Second plot ---

(with a fixed width font, that last one displays the right edges of
the text perfectly aligned).

Cheers,
Jason

Did you test the code in my previous post?

If you want to get some help, you need to take your time to create a simple
and complete example (which reproduces the problem) that others can easily
test.

Since I believe the problem is due to the existence of an extra axes, your
example don't need to show any images. Please post a simple script that
draws a blank AxesGrid and shows extra ticklabels as your current code does.

Regards,

-JJ


On Tue, Dec 8, 2009 at 3:10 PM, Ryan Neve <rya...@gm...> wrote:

> Sorry for the delay.
> I don't know if I ever included my software versions:
> Python & IDLE 2.6.2
> matplotlib 0.99.0
> numpy 1.4.0rc1 (I was using 1.3.0)
> Here is more complete code. This is the only place I use matplotlib for
> anything so I don't think any earlier code should affect the plot.
> I've included the values of the input variables below and I could include
> all the code which gets the data and manipulates it if this would help.
>
> def plotGrid(x_dim,y_dim,z_dim,long_name,units,contours=16):
>     """
>     This will create a frame for all the sub plots. There will be one row
> (subplot) per parameter. There will be one column.
>     All plots will share their x scale (time)
>     Each row will have its own y scale and legend
>
>     """
>     from matplotlib import pyplot
>     from mpl_toolkits.axes_grid import AxesGrid
>     from numpy import meshgrid, transpose
>
>     nrows = len(z_dim) # Number of rows
>     print('there are',nrows,'rows') # Confirm that the number of rows is
> as expected.
>     fig_h_size = 20. # figure width in inches
>     fig_v_size = 8. # figure height in inches
>     dev_mult = 3 # How many standard deviations to mask out.
>     x_grid,y_grid = meshgrid(x_dim,y_dim)
>     x_grid = transpose(x_grid)
>     y_grid = transpose(y_grid)
>
>     # Start the plotting routines
>     DAP_figure = pyplot.figure(1,(fig_h_size,fig_v_size))
>     pyplot.title('Title goes here')
>
>     pyplot.figtext(0.05,.5,"Depth
> (m)",rotation='vertical',verticalalignment='center')
>     # Create a grid of axes with the AxesGrid helper class
>     my_grid = AxesGrid(DAP_figure, 111, # Only one grid in DAP_figure
>                     nrows_ncols = (nrows,1),
>
>                     axes_pad = 0.0, # pad between axes in inches
>                     aspect=False, # By default (False), widths and heigths
> of axes in the grid are scaled independently. If True, they are scaled
> according to their data limits
>                     add_all=True, # Add axes to figures if True (default
> True)
>                     share_all=True, # xaxis & yaxis of all axes are shared
> if True (default False)
>                     label_mode = "L", # location of tick labels thaw will
> be displayed. "1" (only the lower left axes), "L" (left most and bottom most
> axes), or "all"
>                     cbar_location="right", # "right" or "top"
>                     cbar_mode="each", # "None","single", or "each"
>
>                     cbar_size="2%",
>                     cbar_pad="1%",
>                     )
>
>     for i,parameter in enumerate(z_dim):
>         z_dim[parameter] = maskDAP(z_dim[parameter],parameter,dev_mult)
> #Need to mask each grid
>
>         ax = my_grid[i].pcolor(x_grid,y_grid,z_dim[parameter])
>         print('from',x_grid[0][0],'to',x_grid[-1][0])
>         my_grid[i].set_ylabel(long_name[parameter]) # Puts a y label on
> every graph. Eventually we want this labeled only once.
>
>         my_grid.cbar_axes[i].colorbar(ax)
>
> my_grid.cbar_axes[i].axis["right"].toggle(ticklabels=True,label=True)
>         my_grid.cbar_axes[i].set_ylabel(units[parameter])
>
>     # Now show it
>     pyplot.draw()
>     pyplot.show()
>     return x_grid, y_grid, my_grid #Useful only for debugging. There is no
> code after this.
>
> Here are some typical values for the inpit variables if it helps,
>
> x_dim, time in epoch seconds, is:
> array([1253250000, 1253251800, 1253253600, 1253255400, 1253257200,
>        1253259000, 1253260800, 1253262600, 1253264400, 1253266200,
>        1253268000, 1253269800, 1253271600, 1253273400, 1253275200,
>        1253277000, 1253278800, 1253280600, 1253282400, 1253284200,
>        1253286000, 1253287800, 1253289600, 1253291400, 1253293200,
>        1253295000, 1253296800, 1253298600, 1253300400, 1253302200,
>        1253304000, 1253305800, 1253307600, 1253309400, 1253311200,
>        1253313000, 1253314800, 1253316600, 1253318400, 1253320200,
>        1253322000, 1253323800, 1253325600, 1253327400, 1253329200,
>        1253331000, 1253332800])
> y_dim, water depths in meters, is:
> array([ 0. , -0.1, -0.2, -0.3, -0.4, -0.5, -0.6, -0.7, -0.8, -0.9, -1. ,
>        -1.1, -1.2, -1.3, -1.4, -1.5, -1.6, -1.7, -1.8, -1.9, -2. , -2.1,
>        -2.2, -2.3, -2.4, -2.5, -2.6, -2.7])
> in the example plot below z_dim is a dictionary with three arrays,
> 'do','chl','turb'.
> as an example, z_dim['chl'] (chlorophyl) is a 2D array of the form:
> masked_array(data =
>  [[-- 14.8400002718 14.8400002718 ..., 13.1000023892 -- --]
>  [-- 15.0 15.0 ..., -- -- --]
>  [-- 13.1241378212 13.1241378212 ..., -- -- --]
>  ...,
>  [-- 12.081481385 12.081481385 ..., 10.3037038589 -- --]
>  [-- 11.0882356451 11.0882356451 ..., 9.95714437393 -- --]
>  [-- 13.4448273754 13.4448273754 ..., -- -- --]],
>              mask =
>  [[ True False False ..., False  True  True]
>  [ True False False ...,  True  True  True]
>  [ True False False ...,  True  True  True]
>  ...,
>  [ True False False ..., False  True  True]
>  [ True False False ..., False  True  True]
>  [ True False False ...,  True  True  True]],
>        fill_value = 1e+20)
>
> Here's the plot as it stands now:
> [image: fgpXr.png]
>
> Thank you again for your time.
>
>
> On Fri, Dec 4, 2009 at 4:07 PM, Jae-Joon Lee <lee...@gm...> wrote:
>
>>
>> Please, "more" complete example does not make any difference unless it is
>> complete.
>>
>
>
>

Note that you have to install matplotlib from the svn. And the example
is also available in the svn.

Regards,

-JJ



On Tue, Dec 8, 2009 at 4:28 AM, ihab riad <if...@gm...> wrote:
> Hu Jae-Joon,
> Yes this is very useful, I thinks many people here will love this.
>
> I tried to access the code, but I could not get there.
>
> Can u pass me the link.
>
> Cheers Ihab
>
> On Mon, Dec 7, 2009 at 9:25 PM, Jae-Joon Lee <lee...@gm...> wrote:
>>
>> I updated the axes_grid toolkit in the svn, and I hope it is more useful.
>>
>> Check the example
>>
>> examples/axes_grid/demo_floating_axes.py
>>
>> The output is attached.
>>
>> -JJ
>>
>>
>> On Wed, Nov 4, 2009 at 9:19 AM, Jae-Joon Lee <lee...@gm...> wrote:
>> > Are you running svn version of mpl?
>> > Also, as I said, the example is based on the patch yet to be submitted.
>> > So, I can send you the example, but it will take me sometime to commit
>> > the patch.
>> > I'll give you a notice when this happen.
>> >
>> > As far as rotating the ticks, if you're using markers, than I guess
>> > you need a custom artist class.
>> > So, I recommend you to just use simple lines.
>> >
>> > Whatever path you take (even with my example), it will not be easy.
>> > So, again, finding other plotting tool that support cone plots may be
>> > more practical (unless someone comes up with a working example).
>> >
>> > Regards,
>> >
>> > -JJ
>> >
>> >
>> >
>> > On Wed, Nov 4, 2009 at 2:44 AM, ifriad <if...@gm...> wrote:
>> >>
>> >> Hi,
>> >> Thanks, I think the attached sample is good enough for me, In fact I
>> >> got
>> >> something similar except for the ticks I didn't know how to make them
>> >> slanted, so If I can get the code for you plot this will be really
>> >> great.
>> >>
>> >> I can then fine tune it to my needs.
>> >>
>> >> Thanks Ihab
>> >>
>> >> Jae-Joon Lee wrote:
>> >>>
>> >>> Unfortunately, I don't think something like cone plots can be easily
>> >>> done with current matplotlib.
>> >>>
>> >>> I guess you can define custom projection and such, as in the example
>> >>> below
>> >>>
>> >>>
>> >>> http://matplotlib.sourceforge.net/examples/api/custom_projection_example.html
>> >>>
>> >>> but this will involve some (maybe a lot) coding + some knowledge of
>> >>> mpl internals.
>> >>>
>> >>> With the experimental curvelinear coordinate support in axes_grid
>> >>> toolkit (and with yet-to-be-committed patch), one can draw very basic
>> >>> cone plot (see the attached). However, the current support is far from
>> >>> complete. I'm willing to make it better, but I'm afraid that this may
>> >>> not happen in a near future (likely not in this year).
>> >>>
>> >>> Of course, you can try to plot everything  (axes boundary, ticks,
>> >>> ticklabels etc.) manually if you want, and maybe this is the best way
>> >>> currently available.
>> >>>
>> >>> Regards,
>> >>>
>> >>> -JJ
>> >>>
>> >>> On Sat, Oct 31, 2009 at 4:15 AM, ifriad <if...@gm...> wrote:
>> >>>>
>> >>>> Hi,
>> >>>> Does any one knows how to do those cone plots,
>> >>>>
>> >>>> I am attaching a sample plot.
>> >>>>
>> >>>> Thanks Ihab
>> >>>> http://old.nabble.com/file/p26140834/cone.png cone.png
>> >>>> --
>> >>>> View this message in context:
>> >>>> http://old.nabble.com/cone-plots-tp26140834p26140834.html
>> >>>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>> >>>>
>> >>>>
>> >>>>
>> >>>> ------------------------------------------------------------------------------
>> >>>> Come build with us! The BlackBerry(R) Developer Conference in SF, CA
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>> >>>> developing skills, take BlackBerry mobile applications to market and
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>> >>>> Matplotlib-users mailing list
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>> >>>>
>> >>>
>> >>>
>> >>>
>> >>> ------------------------------------------------------------------------------
>> >>> Come build with us! The BlackBerry(R) Developer Conference in SF, CA
>> >>> is the only developer event you need to attend this year. Jumpstart
>> >>> your
>> >>> developing skills, take BlackBerry mobile applications to market and
>> >>> stay
>> >>> ahead of the curve. Join us from November 9 - 12, 2009. Register now!
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>> >>> _______________________________________________
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>> >>>
>> >>>
>> >>
>> >> --
>> >> View this message in context:
>> >> http://old.nabble.com/cone-plots-tp26140834p26192193.html
>> >> Sent from the matplotlib - users mailing list archive at Nabble.com.
>> >>
>> >>
>> >>
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>
>