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Showing 5 results of 5

From: sam t. <sam...@ya...> - 2009年02月25日 23:53:28
Troels Kofoed Jacobsen wrote:
> On Wednesday 25 February 2009 09:35:07 am sam tygier wrote:
>> I think this topic has come up before, but i don't think anything has
>> resulted from it.
>>
>> I'd like a way for saving a plot from from matplotlib, so that it can be
>> re-rendered later, possibly with a different backend, maybe to a different
>> size, and maybe with changes to the labels. This would save me having to
>> rerun the simulation that generated the plot.
> 
> I think this is a good idea, but why don't you just save your data to a file 
> and plot from a different script. If the data is only numbers you can just do 
> savetxt('data.dat',data) in you simulation script and then 
> data=loadtxt('data.dat') from your plot script...
> Now if you also just use savefig('fig') without suffix, you can just run your 
> plot script like: python plot.py -DAgg or -DPS or whatever and it will plot to 
> the default format for that backend.
> 
> Best regards
> Troels Kofoed Jacobsen
That is one method that i have used, but i don't think it is ideal. My data can be a wide range of things, sometimes the coordinates of a bunch of many particles, sometimes the track of one. If I save just an array of numbers it can get a bit confusing. So it would be useful to be able to save everything needed to make the plot.
Sam Tygier
From: Michael D. <md...@st...> - 2009年02月25日 15:39:49
This is now fixed in SVN. Thanks for the report.
Mike
Gregor Thalhammer wrote:
> Hi all,
>
> sorry, only reporting, no bugfix. I just discovered that an empty plot 
> with drawstyle 'steps', 'steps-pre', 'steps-mid' and 'steps-post' fails. 
> I am using matplotlib 0.98.5.2.
>
> Example
>
> plot([], [], drawstyle = 'steps')
>
> ...
> C:\Python25\lib\site-packages\matplotlib\lines.pyc in 
> _draw_steps_pre(self, renderer, gc, path, trans)
> 784 def _draw_steps_pre(self, renderer, gc, path, trans):
> 785 vertices = self._xy
> --> 786 steps = ma.zeros((2*len(vertices)-1, 2), np.float_)
> 787
> 788 steps[0::2, 0], steps[1::2, 0] = vertices[:, 0], 
> vertices[:-1, 0
> ]
> ...
>
> ValueError: negative dimensions are not allowed
>
> Gregor
>
>
>
>
>
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Science Software Branch
Operations and Engineering Division
Space Telescope Science Institute
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From: Troels K. J. <tkj...@gm...> - 2009年02月25日 09:20:58
On Wednesday 25 February 2009 09:35:07 am sam tygier wrote:
> I think this topic has come up before, but i don't think anything has
> resulted from it.
>
> I'd like a way for saving a plot from from matplotlib, so that it can be
> re-rendered later, possibly with a different backend, maybe to a different
> size, and maybe with changes to the labels. This would save me having to
> rerun the simulation that generated the plot.
>
> Ideally this would work by having a save_plot() function, that would save
> all state of the current plot into a file. This could then be loaded by a
> program to regenerate that plot.
>
> I have made a rough prototype to demonstrate. It is incomplete. It only
> implements a very small subset of pylab.
>
> I shall attach some files (if these get mangled, then i can upload them
> somewhere).
>
> example1 and example2 are what the plot files might look like.
>
> plot.py renders the plot files.
> eg.
> plot.py example1
> plot.py example2 example.png
>
> fakepylab.py is a wrapper around pylab that record you plotting, and offers
> a save_plot() function
>
> test.py is script that uses fakepylab to create a plot file.
>
> So does any of this look useful? What more might it need to be useful?
>
> Any comments on the file format. Is there an existing standard that could
> be used instead? Would XML be better than plain ascii?
>
> Sam Tygier
I think this is a good idea, but why don't you just save your data to a file 
and plot from a different script. If the data is only numbers you can just do 
savetxt('data.dat',data) in you simulation script and then 
data=loadtxt('data.dat') from your plot script...
Now if you also just use savefig('fig') without suffix, you can just run your 
plot script like: python plot.py -DAgg or -DPS or whatever and it will plot to 
the default format for that backend.
Best regards
Troels Kofoed Jacobsen
From: sam t. <sam...@ya...> - 2009年02月25日 08:40:11
I think this topic has come up before, but i don't think anything has resulted from it.
I'd like a way for saving a plot from from matplotlib, so that it can be re-rendered later, possibly with a different backend, maybe to a different size, and maybe with changes to the labels. This would save me having to rerun the simulation that generated the plot.
Ideally this would work by having a save_plot() function, that would save all state of the current plot into a file. This could then be loaded by a program to regenerate that plot.
I have made a rough prototype to demonstrate. It is incomplete. It only implements a very small subset of pylab.
I shall attach some files (if these get mangled, then i can upload them somewhere).
example1 and example2 are what the plot files might look like. 
plot.py renders the plot files.
eg.
plot.py example1
plot.py example2 example.png
fakepylab.py is a wrapper around pylab that record you plotting, and offers a save_plot() function
test.py is script that uses fakepylab to create a plot file.
So does any of this look useful? What more might it need to be useful?
Any comments on the file format. Is there an existing standard that could be used instead? Would XML be better than plain ascii?
Sam Tygier
From: Eric F. <ef...@ha...> - 2009年02月25日 07:39:47
Christopher Barker wrote:
> Eric Firing wrote:
>> It has been purged from the svn trunk.
> 
> Thanks. Has it been deprecated somehow? I don't want folks' code to 
> break too fast!
I have restored a stripped-down numpy-only version of numerix, with a 
prominent deprecation warning.
Eric
> 
> 
>> Now, if you can run your app after building from svn,
> 
> Well, I'm not set up to build on Windows...
> 
>> it should become obvious where the numerix import was coming from
> 
> Found it: it was wxmpl. I'm going to send a patch to Ken.
> 
> -Chris
> 
> 
> 
> 

Showing 5 results of 5

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