matplotlib-users Mailing List for matplotlib

I spent some time trying to cobble one together but it was taking too much
time so I tried the following and it seems to work now:

Instead of using a thick line2D and adding it to the drawing, I added a
patches.Rectangle instead.  The line2D works in 0.88.5 but not in 0.99.  The
newer version was tripping over the Artist.contains() function call when
used with line2D.

On Mon, Aug 31, 2009 at 1:28 PM, Michael Droettboom <md...@st...> wrote:

> Can you provide a standalone example that reproduces this error?
>
> Cheers,
> Mike
>
> Andrew Kelly wrote:
>
>> I recently re-installed matplotlib (0.99) on my vista machine and my code
>> that worked yesterday (no changes) no longer runs because of the following
>> matplotlib error:
>>
>>  File "C:\Python25\Lib\site-packages\matplotlib\lines.py", line 286, in
>> contains
>>    path, affine = self._transformed_path.get_transformed_path_and_affine()
>> AttributeError: 'NoneType' object has no attribute
>> 'get_transformed_path_and_affine'
>>
>> All I am doing is initially drawing a line2D (which works) and then
>> testing if line2D.contains(event)==True if I mouse over the line.  As I said
>> this worked fine yesterday.
>>
>> I tried re-installing with an older version but to no avail.  I am totally
>> clueless as to why this is happening.  Anyone have a guess.
>>
>> -Andrew
>>
>> ------------------------------------------------------------------------
>>
>>
>> ------------------------------------------------------------------------------
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>>
>
> --
> Michael Droettboom
> Science Software Branch
> Operations and Engineering Division
> Space Telescope Science Institute
> Operated by AURA for NASA
>
>

If you need to stick to eps, another option is to use rasterization
feature of the matplotlib itself. This way you can keep part of plot
in vector format (e.g., texts, lines, etc ) while rasterizing others.
Of course this solution only works if the "quality" of those being
rasterized is not very important.

http://matplotlib.sourceforge.net/examples/misc/rasterization_demo.html

The rasterization in the ps backend works in a way that all the artist
whose zorder is smaller than the specified value are rasterized while
those with larger zorder are not.

Regards,

-JJ

Chuck Pepe-Ranney <cp...@mi...> writes:

>> The postscript format does not support transparency.  This is not a
>> matplotlib limitation but a postscript limitation.  The best solution
>> is to save your matplotlib figures as pdf, [...]
>
> Thanks, I guess my problem is that I am using the latex prosper
> package to make presentation slides but I cannot compile prosper
> documents with pdflatex [...]

You could try creating pdf output from matplotlib and converting it to
ps using ps2ps2, which will flatten the transparent objects into one big
bitmap:

http://ghostscript.com/doc/current/Ps2ps2.htm
http://www.ghostscript.com/pipermail/gs-devel/2009-April/008328.html

You may need to tweak the ps2write parameters, especially the output
resolution, to find the best tradeoff between file size and quality.

-- 
Jouni K. Seppänen
http://www.iki.fi/jks

Can you provide a standalone example that reproduces this error?

Cheers,
Mike

Andrew Kelly wrote:
> I recently re-installed matplotlib (0.99) on my vista machine and my 
> code that worked yesterday (no changes) no longer runs because of the 
> following matplotlib error:
>
>   File "C:\Python25\Lib\site-packages\matplotlib\lines.py", line 286, 
> in contains
>     path, affine = 
> self._transformed_path.get_transformed_path_and_affine()
> AttributeError: 'NoneType' object has no attribute 
> 'get_transformed_path_and_affine'
>
> All I am doing is initially drawing a line2D (which works) and then 
> testing if line2D.contains(event)==True if I mouse over the line.  As 
> I said this worked fine yesterday.
>
> I tried re-installing with an older version but to no avail.  I am 
> totally clueless as to why this is happening.  Anyone have a guess.
>
> -Andrew
>
> ------------------------------------------------------------------------
>
> ------------------------------------------------------------------------------
> Let Crystal Reports handle the reporting - Free Crystal Reports 2008 30-Day 
> trial. Simplify your report design, integration and deployment - and focus on 
> what you do best, core application coding. Discover what's new with 
> Crystal Reports now.  http://p.sf.net/sfu/bobj-july
> ------------------------------------------------------------------------
>
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>   

-- 
Michael Droettboom
Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
Operated by AURA for NASA

Thanks, I guess my problem is that I am using the latex prosper package to
make presentation slides but I cannot compile prosper documents with
pdflatex (see here <http://www.nefkom.net/georg.drenkhahn/prosper/>).
Sorry, I see that this is not a matplotlib specific question so I will try
to find a solution somewhere else.

On Mon, Aug 31, 2009 at 12:10 PM, John Hunter <jd...@gm...> wrote:

> On Mon, Aug 31, 2009 at 1:04 PM, Chuck Pepe-Ranney<cp...@mi...>
> wrote:
> > Does anybody have a good method for preserving quality and transparancy
> of
> > eps images when going from matplotlib to latex to pdf?  I can only
> preserve
> > the transparency if I save as png and then convert to eps but then I lose
> > quality.  If I save as eps directly, all my patches are opaque despite
> the
> > alpha values.
>
> The postscript format does not support transparency.  This is not a
> matplotlib limitation but a postscript limitation.  The best solution
> is to save your matplotlib figures as pdf, which is also a vector
> format but which does support transparency, and then use pdflatex
>
> JDH
>



-- 
Chuck Pepe-Ranney
Spear Lab
Colorado School of Mines
Work: (303)384-2477
Cell: (575)313-0993

I recently re-installed matplotlib (0.99) on my vista machine and my code
that worked yesterday (no changes) no longer runs because of the following
matplotlib error:

  File "C:\Python25\Lib\site-packages\matplotlib\lines.py", line 286, in
contains
    path, affine = self._transformed_path.get_transformed_path_and_affine()
AttributeError: 'NoneType' object has no attribute
'get_transformed_path_and_affine'

All I am doing is initially drawing a line2D (which works) and then testing
if line2D.contains(event)==True if I mouse over the line.  As I said this
worked fine yesterday.

I tried re-installing with an older version but to no avail.  I am totally
clueless as to why this is happening.  Anyone have a guess.

-Andrew

Teemu Ikonen wrote:

> 
> I also need error band plotting regularly (also the loglog and semilog
> versions) and currently have some quickly written code to do this in
> matplotlib.
> 
> If I clean up my code and submit a patch to axes and pyplot classes,
> would it have a chance to be accepted?
> 
> Teemu

Also, if you haven't already, see 
http://matplotlib.sourceforge.net/devel/coding_guide.html.

Eric

Teemu Ikonen wrote:


> Hi,
> 
> I also need error band plotting regularly (also the loglog and semilog
> versions) and currently have some quickly written code to do this in
> matplotlib.
> 
> If I clean up my code and submit a patch to axes and pyplot classes,
> would it have a chance to be accepted?
> 

Yes.

Eric

> Teemu

On Mon, Aug 31, 2009 at 1:04 PM, Chuck Pepe-Ranney<cp...@mi...> wrote:
> Does anybody have a good method for preserving quality and transparancy of
> eps images when going from matplotlib to latex to pdf?  I can only preserve
> the transparency if I save as png and then convert to eps but then I lose
> quality.  If I save as eps directly, all my patches are opaque despite the
> alpha values.

The postscript format does not support transparency.  This is not a
matplotlib limitation but a postscript limitation.  The best solution
is to save your matplotlib figures as pdf, which is also a vector
format but which does support transparency, and then use pdflatex

JDH

Does anybody have a good method for preserving quality and transparancy of
eps images when going from matplotlib to latex to pdf?  I can only preserve
the transparency if I save as png and then convert to eps but then I lose
quality.  If I save as eps directly, all my patches are opaque despite the
alpha values.

Thanks,
- Chuck

John Hunter wrote:
>On Wed, Aug 5, 2009 at 9:40 AM, per freem<perfreem@gm...> wrote:
>> hi all,
>>
>> is there a way in matplotlib to plot lines with errorbars, e.g. using
>> errorbar(...) but instead of lines just have shaded, partly transparent
>> regions that represent the error bars? people often use this to show
>> confidence intervals or error bars... an example is here:
>>
>> http://eva.nersc.no/vhost/arctic-roos.org/doc/observations/images/ssmi1_ice_ext.png
>>
>> where the black line has shaded grey bands around. i'd like to plot
>> something like this but have the band be partly transparent.
>
>I use fill_between for this -- draw the line with "plot" and the
>shaded region with "fill_between".

Hi,

I also need error band plotting regularly (also the loglog and semilog
versions) and currently have some quickly written code to do this in
matplotlib.

If I clean up my code and submit a patch to axes and pyplot classes,
would it have a chance to be accepted?

Teemu

Jeff, that's a good point. I remember ...

On Thu, 2009-08-27 at 07:54 -0600, Jeff Whitaker wrote:
> Christian Meesters wrote:
> >> Christian:  That should work, if you created the masked array 
> >> correctly.  Why are you creating the mask with data=='NA'?  I suspect 
> >> that this always evaluates to False, so you don't get a mask.  You 
> >> probably want to check for a numeric value, not a string.  For example:
> >>     
> > Thanks a lot, Jeff!
> >
> > Yes, the non-numerical comparison was indeed causing problems - although
> > I don't understand why.
> >
> > However, I can easily inject numerical non-sense values into the array.
> > As to the 'NA': The data are an R output file. As I don't like R too
> > much, I'm falling back to Python.
> >
> > Christian
> >
> >   
> Christian:  What type of array is that (data.dtype)?  I don't see how a 
> numpy array can have values equal to 'NA', unless it is an array of 
> strings.  In that case, it would not be plottable anyway. 
> 
> -Jeff