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      From: Jae-Joon L. <lee...@gm...> - 2009-05-11 18:37:04
      
     
   | 
> > The resulting graph is not colored -- but in the directory > ~/.matplotlib/tex.cache/ the text is green, both in the dvi and the png > file! > > It therefore seems to me that this is not completely hopeless but I > cannot figure out how to proceed. > As far as I know, in matplotlib, all the tex png output is treated as grey internally (the only exception I know of is ps backend, e.g., your example will show you a correct color if you save it as ps). I guess this may have been a design decision. As far as I can see, MPL currently does not support texts with varying font properties (size, color, font). One possible workaround for this could be using the latex typesetting as you tried. However, supporting this within the current text framework of matplotlib would be difficult and may not be a good idea. However, I guess there are a few workarounds you may consider to use (but unfortunately I think none of them are easy to work with). So, if you describe where you intend to use multi-color text, I'll try to give some example appropriate for your situation. Multi-color text in figure title or simple annotation would be relatively simple. Multi-color text in legend label seems to be more difficult, but should be doable. -JJ  | 
| 
     
      
      
      From: C M <cmp...@gm...> - 2009-05-11 15:40:58
      
     
   | 
On Mon, May 11, 2009 at 3:06 AM, Eric Firing <ef...@ha...> wrote: > C M wrote: >> >> On Mon, May 11, 2009 at 12:52 AM, Gökhan SEVER <gok...@gm...> >> wrote: >>> >>> And the answer is: >>> >>> axis(xmin=..., xmax=...) >>> >>> Probably, that was a very easy question and no one wanted to answer :) >>> >>> Gökhan >>> >>> >>> On Sun, May 10, 2009 at 4:12 PM, Gökhan SEVER <gok...@gm...> >>> wrote: >>>> >>>> Hello, >>>> >>>> I overlay bunch of boxplots with mean values shown as stars on each >>>> corresponding boxplot instance. (As could be seen in this image: >>>> http://img216.imageshack.us/img216/7528/boxplot.png. >>>> >>>> There is a minor thing that affects the appearance of the figure. That >>>> is >>>> 1st and the last boxplots don't fit in the figure borders. How can I fix >>>> this? Do you have any suggestions? >>>> >>>> Thank you. >>>> >>>> Gökhan >> >> What is the difference between doing that or using something like: >> >> axes.autoscale_view(tight=False, scalex=True, scaley=True) >> >> I am under the impression that if tight=False, the plot does not >> autoscale to precisely the xlims, but leaves some margin. Is >> that right? > > Not necessarily--there is no guaranteed margin, although making such a > margin a settable parameter has been in mind for a long time. With > tight=False, the autoscaling goes to the nearest ticks that include the data > range, so depending on the data range and the tick intervals, there might be > negligible margin. > > Eric Useful to know, thanks. Che  | 
| 
     
      
      
      From: Christian K. <ck...@ho...> - 2009-05-11 13:26:44
      
     
   | 
Hi, could someone please point me to an example which shows how to achieve a filled contour plot with a logarithmic value scale both for the contour data and the colorbar? Thanks in advance, Christian  | 
| 
     
      
      
      From: John H. <jd...@gm...> - 2009-05-11 12:36:26
      
     
   | 
On Sun, May 10, 2009 at 4:22 PM, oh42 <ja...@ya...> wrote: > > Pl see picture below. The grid always shows on top of the plot lines. Is it > possible to put it below? When creating the axes or subplot, set axisbelow=True ax = fig.add_subplot(111, axisbelow=True) There is an rc param 'axes.axisbelow' to change the default behavior -- http://matplotlib.sourceforge.net/users/customizing.html JDH  | 
| 
     
      
      
      From: Eric F. <ef...@ha...> - 2009-05-11 07:07:10
      
     
   | 
C M wrote: > On Mon, May 11, 2009 at 12:52 AM, Gökhan SEVER <gok...@gm...> wrote: >> And the answer is: >> >> axis(xmin=..., xmax=...) >> >> Probably, that was a very easy question and no one wanted to answer :) >> >> Gökhan >> >> >> On Sun, May 10, 2009 at 4:12 PM, Gökhan SEVER <gok...@gm...> wrote: >>> Hello, >>> >>> I overlay bunch of boxplots with mean values shown as stars on each >>> corresponding boxplot instance. (As could be seen in this image: >>> http://img216.imageshack.us/img216/7528/boxplot.png. >>> >>> There is a minor thing that affects the appearance of the figure. That is >>> 1st and the last boxplots don't fit in the figure borders. How can I fix >>> this? Do you have any suggestions? >>> >>> Thank you. >>> >>> Gökhan > > What is the difference between doing that or using something like: > > axes.autoscale_view(tight=False, scalex=True, scaley=True) > > I am under the impression that if tight=False, the plot does not > autoscale to precisely the xlims, but leaves some margin. Is > that right? Not necessarily--there is no guaranteed margin, although making such a margin a settable parameter has been in mind for a long time. With tight=False, the autoscaling goes to the nearest ticks that include the data range, so depending on the data range and the tick intervals, there might be negligible margin. Eric > > Che  | 
| 
     
      
      
      From: C M <cmp...@gm...> - 2009-05-11 05:26:48
      
     
   | 
On Mon, May 11, 2009 at 12:52 AM, Gökhan SEVER <gok...@gm...> wrote: > And the answer is: > > axis(xmin=..., xmax=...) > > Probably, that was a very easy question and no one wanted to answer :) > > Gökhan > > > On Sun, May 10, 2009 at 4:12 PM, Gökhan SEVER <gok...@gm...> wrote: >> >> Hello, >> >> I overlay bunch of boxplots with mean values shown as stars on each >> corresponding boxplot instance. (As could be seen in this image: >> http://img216.imageshack.us/img216/7528/boxplot.png. >> >> There is a minor thing that affects the appearance of the figure. That is >> 1st and the last boxplots don't fit in the figure borders. How can I fix >> this? Do you have any suggestions? >> >> Thank you. >> >> Gökhan What is the difference between doing that or using something like: axes.autoscale_view(tight=False, scalex=True, scaley=True) I am under the impression that if tight=False, the plot does not autoscale to precisely the xlims, but leaves some margin. Is that right? Che  | 
| 
     
      
      
      From: Gökhan S. <gok...@gm...> - 2009-05-11 04:53:05
      
     
   | 
And the answer is: axis(xmin=..., xmax=...) Probably, that was a very easy question and no one wanted to answer :) Gökhan On Sun, May 10, 2009 at 4:12 PM, Gökhan SEVER <gok...@gm...> wrote: > Hello, > > I overlay bunch of boxplots with mean values shown as stars on each > corresponding boxplot instance. (As could be seen in this image: > http://img216.imageshack.us/img216/7528/boxplot.png. > > There is a minor thing that affects the appearance of the figure. That is > 1st and the last boxplots don't fit in the figure borders. How can I fix > this? Do you have any suggestions? > > Thank you. > > Gökhan >  |