Re: [Matplotlib-users] Design questions

2009-08-03 Thread Gewton Jhames
plt.subplots_adjust combined with ajustments in fig.set_size_inches is
finally working.
On Fri, Jul 31, 2009 at 11:55 AM, Tony S Yu ton...@mit.edu wrote:

 On Jul 30, 2009, at 5:16 PM, Gewton Jhames wrote:

 Anyone?

 On Tue, Jul 28, 2009 at 3:23 PM, Gewton Jhames gjha...@gmail.com wrote:

 Guys, there is the code.
 On Tue, Jul 28, 2009 at 3:13 PM, Gewton Jhames gjha...@gmail.com wrote:

 Jae-Joon Lee, savefig(file.png, bbox_inches=tight) doesn't work too.

 On Mon, Jul 27, 2009 at 7:00 PM, Jae-Joon Lee lee.j.j...@gmail.comwrote:

 [Snip]

   On Mon, Jul 27, 2009 at 4:06 PM, Gewton Jhamesgjha...@gmail.com wrote:
 On the other hand, there is some crude support for trimming, i.e.,
 reducing the figure size while the axes area fixed.

 savefig(file.png, bbox_inches=tight)

 Note that the figure size of the saved output is only affected. This
 does not change the figure displayed on the screen.

 Regards,

 -JJ



 Jae-Joon's suggestion worked for me (using your code). Since this feature
 is pretty new, it may depend on the version you're using (I'm using the
 latest from svn).

 I couldn't get `autoscale_view` to work either. However, `subplots_adjust`
 should work with a little tweaking. Instead of the dimensions John gave,
 try plt.subplots_adjust(left=0.07, right=0.99). These dimensions may show up
 differently on your system, so try tweaking these values.

 Best,
 -T

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Re: [Matplotlib-users] Design questions

2009-07-31 Thread Tony S Yu

On Jul 30, 2009, at 5:16 PM, Gewton Jhames wrote:


Anyone?

On Tue, Jul 28, 2009 at 3:23 PM, Gewton Jhames gjha...@gmail.com  
wrote:

Guys, there is the code.
On Tue, Jul 28, 2009 at 3:13 PM, Gewton Jhames gjha...@gmail.com  
wrote:
Jae-Joon Lee, savefig(file.png, bbox_inches=tight) doesn't work  
too.



On Mon, Jul 27, 2009 at 7:00 PM, Jae-Joon Lee lee.j.j...@gmail.com  
wrote:

[Snip]
On Mon, Jul 27, 2009 at 4:06 PM, Gewton Jhamesgjha...@gmail.com  
wrote:

On the other hand, there is some crude support for trimming, i.e.,
reducing the figure size while the axes area fixed.

savefig(file.png, bbox_inches=tight)

Note that the figure size of the saved output is only affected. This
does not change the figure displayed on the screen.

Regards,

-JJ



Jae-Joon's suggestion worked for me (using your code). Since this  
feature is pretty new, it may depend on the version you're using (I'm  
using the latest from svn).


I couldn't get `autoscale_view` to work either. However,  
`subplots_adjust` should work with a little tweaking. Instead of the  
dimensions John gave, try plt.subplots_adjust(left=0.07, right=0.99).  
These dimensions may show up differently on your system, so try  
tweaking these values.


Best,
-T--
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Re: [Matplotlib-users] Design questions

2009-07-30 Thread Gewton Jhames
Anyone?

On Tue, Jul 28, 2009 at 3:23 PM, Gewton Jhames gjha...@gmail.com wrote:

 Guys, there is the code.
 On Tue, Jul 28, 2009 at 3:13 PM, Gewton Jhames gjha...@gmail.com wrote:

 Jae-Joon Lee, savefig(file.png, bbox_inches=tight) doesn't work too.

 On Mon, Jul 27, 2009 at 7:00 PM, Jae-Joon Lee lee.j.j...@gmail.comwrote:

 On Mon, Jul 27, 2009 at 4:06 PM, Gewton Jhamesgjha...@gmail.com wrote:
  How to trim the canvas of the image generated? It's transparent, but
 still
  have a padding, if it would be cropped, I can safe almost 200px!. I
 have
  attached a file to this email to show it, the background of the graph
 was
  set to red only to you see the padding.

 As John suggested, you can adjust the subplot params. This adjusts the
 area occupied by the axes, while the figure size (canvas size) is
 fixed.

 The subplot params can be automatically adjusted.


 http://matplotlib.sourceforge.net/faq/howto_faq.html?highlight=automatic%20adjust#automatically-make-room-for-tick-labels


 On the other hand, there is some crude support for trimming, i.e.,
 reducing the figure size while the axes area fixed.

 savefig(file.png, bbox_inches=tight)

 Note that the figure size of the saved output is only affected. This
 does not change the figure displayed on the screen.

 Regards,

 -JJ




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Re: [Matplotlib-users] Design questions

2009-07-28 Thread Gewton Jhames
John Hunter,
ax.autoscale_view(tight=True, scaley=False)
didn't work. I put it before and after plot. Didn't work in any case.
the first one, fig.subplots_adjust(left=0.05, bottom=0.05, top=0.05,
right=0.05), didn't work too. It let's the graph crazy.
If you want, I can put the code here.
On Mon, Jul 27, 2009 at 6:32 PM, John Hunter jdh2...@gmail.com wrote:

 On Mon, Jul 27, 2009 at 3:06 PM, Gewton Jhamesgjha...@gmail.com wrote:
  Thanks everyone. Everything works perfectly.
  Only a few things left:
 
  How to trim the canvas of the image generated? It's transparent, but
 still
  have a padding, if it would be cropped, I can safe almost 200px!. I
 have
  attached a file to this email to show it, the background of the graph was
  set to red only to you see the padding.

 use

  fig.subplots_adjust(left=0.05, bottom=0.05, top=0.05, right=0.05)

 etc to trim the excess space

  In the file attached to this email, the graph have a space after the
  position 23:00, I wish to remove it.

 Several ways to do it: one is:

  ax.autoscale_view(tight=True, scaley=False)

 Use

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Re: [Matplotlib-users] Design questions

2009-07-28 Thread Gewton Jhames
Jae-Joon Lee, savefig(file.png, bbox_inches=tight) doesn't work too.

On Mon, Jul 27, 2009 at 7:00 PM, Jae-Joon Lee lee.j.j...@gmail.com wrote:

 On Mon, Jul 27, 2009 at 4:06 PM, Gewton Jhamesgjha...@gmail.com wrote:
  How to trim the canvas of the image generated? It's transparent, but
 still
  have a padding, if it would be cropped, I can safe almost 200px!. I
 have
  attached a file to this email to show it, the background of the graph was
  set to red only to you see the padding.

 As John suggested, you can adjust the subplot params. This adjusts the
 area occupied by the axes, while the figure size (canvas size) is
 fixed.

 The subplot params can be automatically adjusted.


 http://matplotlib.sourceforge.net/faq/howto_faq.html?highlight=automatic%20adjust#automatically-make-room-for-tick-labels


 On the other hand, there is some crude support for trimming, i.e.,
 reducing the figure size while the axes area fixed.

 savefig(file.png, bbox_inches=tight)

 Note that the figure size of the saved output is only affected. This
 does not change the figure displayed on the screen.

 Regards,

 -JJ

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Re: [Matplotlib-users] Design questions

2009-07-28 Thread Gewton Jhames
Guys, there is the code.
On Tue, Jul 28, 2009 at 3:13 PM, Gewton Jhames gjha...@gmail.com wrote:

 Jae-Joon Lee, savefig(file.png, bbox_inches=tight) doesn't work too.

 On Mon, Jul 27, 2009 at 7:00 PM, Jae-Joon Lee lee.j.j...@gmail.comwrote:

 On Mon, Jul 27, 2009 at 4:06 PM, Gewton Jhamesgjha...@gmail.com wrote:
  How to trim the canvas of the image generated? It's transparent, but
 still
  have a padding, if it would be cropped, I can safe almost 200px!. I
 have
  attached a file to this email to show it, the background of the graph
 was
  set to red only to you see the padding.

 As John suggested, you can adjust the subplot params. This adjusts the
 area occupied by the axes, while the figure size (canvas size) is
 fixed.

 The subplot params can be automatically adjusted.


 http://matplotlib.sourceforge.net/faq/howto_faq.html?highlight=automatic%20adjust#automatically-make-room-for-tick-labels


 On the other hand, there is some crude support for trimming, i.e.,
 reducing the figure size while the axes area fixed.

 savefig(file.png, bbox_inches=tight)

 Note that the figure size of the saved output is only affected. This
 does not change the figure displayed on the screen.

 Regards,

 -JJ





graph.py
Description: Binary data
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Re: [Matplotlib-users] Design questions

2009-07-27 Thread Gewton Jhames
thanks!!
only 4 left.

On Mon, Jul 27, 2009 at 11:31 AM, Gökhan SEVER gokhanse...@gmail.comwrote:

 For the 5th one ;)

 figure(frameon=False)

 On Mon, Jul 27, 2009 at 8:26 AM, Gewton Jhames gjha...@gmail.com wrote:

 Hello, would you help me in some design issues that I wish to put in my
 matplotlib graph?
 I want my graph look like the one that I'm attaching on this email:


- Change the Background-color of the axis to gray;
- Display only horizontal lines on the axis, in white color;
- Display only the border-left and the border-bottom of the graph, and
in 2px of width;
- Change the border-color of the bars of the graphics (to a more dark
gray).
- Save in a transparent png.


 Can anyone know how to change any of these features? thanks.


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Re: [Matplotlib-users] Design questions

2009-07-27 Thread Jae-Joon Lee
On Mon, Jul 27, 2009 at 11:55 AM, Tony S Yuton...@mit.edu wrote:
 The 3rd issue is a bit more difficult. One approach is to use
 Jae-Joon's AxesGrid toolkit; you
 may need to be using the latest development version of matplotlib to use the toolkit.

I think it would be easier to use the recently added spine support,
because using the AxesGrid toolkit has some side-effects.

http://matplotlib.sourceforge.net/examples/pylab_examples/spine_placement_demo.html

Regards,

-JJ

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Re: [Matplotlib-users] Design questions

2009-07-27 Thread Gewton Jhames
Thanks everyone. Everything works perfectly.
Only a few things left:

   1. How to trim the canvas of the image generated? It's transparent, but
   still have a padding, if it would be cropped, I can safe almost 200px!. I
   have attached a file to this email to show it, the background of the graph
   was set to red only to you see the padding.
   2. In the file attached to this email, the graph have a space after the
   position 23:00, I wish to remove it.


On Mon, Jul 27, 2009 at 1:37 PM, Jae-Joon Lee lee.j.j...@gmail.com wrote:

 On Mon, Jul 27, 2009 at 11:55 AM, Tony S Yuton...@mit.edu wrote:
  The 3rd issue is a bit more difficult. One approach is to use
  Jae-Joon's AxesGrid toolkit; you
 
 may need to be using the latest development version of matplotlib to use the 
 toolkit.

 I think it would be easier to use the recently added spine support,
 because using the AxesGrid toolkit has some side-effects.


 http://matplotlib.sourceforge.net/examples/pylab_examples/spine_placement_demo.html

 Regards,

 -JJ

attachment: Screenshot.png--
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Re: [Matplotlib-users] Design questions

2009-07-27 Thread Gewton Jhames
That's right Gökhan, I should have thought on it before ask. Thanks.
Only the first one remains... this one I could not find a way. I know there
is one class called FigureCanvasAgg, but I didn't find anything on it.

On Mon, Jul 27, 2009 at 5:16 PM, Gökhan SEVER gokhanse...@gmail.com wrote:

 For the 2nd one;

 To re-position the figure content you might use axis(xmin= , xmax= )


 On Mon, Jul 27, 2009 at 3:06 PM, Gewton Jhames gjha...@gmail.com wrote:

 Thanks everyone. Everything works perfectly.
 Only a few things left:

1. How to trim the canvas of the image generated? It's transparent,
but still have a padding, if it would be cropped, I can safe almost
200px!. I have attached a file to this email to show it, the background of
the graph was set to red only to you see the padding.
2. In the file attached to this email, the graph have a space after
the position 23:00, I wish to remove it.


 On Mon, Jul 27, 2009 at 1:37 PM, Jae-Joon Lee lee.j.j...@gmail.comwrote:

 On Mon, Jul 27, 2009 at 11:55 AM, Tony S Yuton...@mit.edu wrote:
  The 3rd issue is a bit more difficult. One approach is to use
  Jae-Joon's AxesGrid toolkit; you
 
 may need to be using the latest development version of matplotlib to use 
 the toolkit.

 I think it would be easier to use the recently added spine support,
 because using the AxesGrid toolkit has some side-effects.


 http://matplotlib.sourceforge.net/examples/pylab_examples/spine_placement_demo.html

 Regards,

 -JJ




 --

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 Matplotlib-users mailing list
 Matplotlib-users@lists.sourceforge.net
 https://lists.sourceforge.net/lists/listinfo/matplotlib-users




 --
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Re: [Matplotlib-users] Design questions

2009-07-27 Thread John Hunter
On Mon, Jul 27, 2009 at 10:55 AM, Tony S Yuton...@mit.edu wrote:
 Below is some code to do 1, 2, and 4.
 The 3rd issue is a bit more difficult. One approach is to use
 Jae-Joon's AxesGrid toolkit; you
 may need to be using the latest development version of matplotlib to use the toolkit.
 BTW, does anyone know why it's ``ax.set_axis_bgcolor`` instead of
 ``ax.set_facecolor``?

very old legacy where the axis background color bgcolor predated the
existance of an axes patch with the unified kwargs.  If people want to
deprecate it in favor of

  ax.patch.set_facecolor(color)

I don't object.

JDH

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Re: [Matplotlib-users] Design questions

2009-07-27 Thread John Hunter
On Mon, Jul 27, 2009 at 3:06 PM, Gewton Jhamesgjha...@gmail.com wrote:
 Thanks everyone. Everything works perfectly.
 Only a few things left:

 How to trim the canvas of the image generated? It's transparent, but still
 have a padding, if it would be cropped, I can safe almost 200px!. I have
 attached a file to this email to show it, the background of the graph was
 set to red only to you see the padding.

use

  fig.subplots_adjust(left=0.05, bottom=0.05, top=0.05, right=0.05)

etc to trim the excess space

 In the file attached to this email, the graph have a space after the
 position 23:00, I wish to remove it.

Several ways to do it: one is:

  ax.autoscale_view(tight=True, scaley=False)

Use

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Re: [Matplotlib-users] Design questions

2009-07-27 Thread Jae-Joon Lee
On Mon, Jul 27, 2009 at 4:06 PM, Gewton Jhamesgjha...@gmail.com wrote:
 How to trim the canvas of the image generated? It's transparent, but still
 have a padding, if it would be cropped, I can safe almost 200px!. I have
 attached a file to this email to show it, the background of the graph was
 set to red only to you see the padding.

As John suggested, you can adjust the subplot params. This adjusts the
area occupied by the axes, while the figure size (canvas size) is
fixed.

The subplot params can be automatically adjusted.

http://matplotlib.sourceforge.net/faq/howto_faq.html?highlight=automatic%20adjust#automatically-make-room-for-tick-labels


On the other hand, there is some crude support for trimming, i.e.,
reducing the figure size while the axes area fixed.

savefig(file.png, bbox_inches=tight)

Note that the figure size of the saved output is only affected. This
does not change the figure displayed on the screen.

Regards,

-JJ

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