matplotlib-users Mailing List for matplotlib

Here is another example of unwanted text clipping
in the gallery:
http://matplotlib.sourceforge.net/examples/api/two_scales.html#api-two-scales
(Both y axis labels are clipped.)

I also think the example would be more complete if it
1. set a 270 degree rotation on the second ylabel, and
2. showed how to make a single legend for the two lines

Btw, how *does* one best do 2?

Cheers,
Alan Isaac

Sorry for being negative, but it's reassuring that I took the right
decision when I gave back my macbook pro to IT and asked for a
thinkpad instead and I installed UNIX on it. You know what I did to
install matplotlib on my OpenBSD laptop?

pkg_add py-matplotlib

And after 1 minute it was up and running...

sorry!

2010/10/27 Friedrich Romstedt <fri...@gm...>:
> Maybe you can make use of this, it's not complete but I'll work on it tomorrow.
>
> ESPECIALLY for the libpng there is a trick to make fat libpng.
>
> http://vincentdavis.info/Shared/Docs/matplotlib-installation/build/html/Macosx10.6.html
>
> Maybe you can complete the sections which are in.
>
> Friedrich
>
> ------------------------------------------------------------------------------
> Nokia and AT&T present the 2010 Calling All Innovators-North America contest
> Create new apps & games for the Nokia N8 for consumers in  U.S. and Canada
> $10 million total in prizes - $4M cash, 500 devices, nearly $6M in marketing
> Develop with Nokia Qt SDK, Web Runtime, or Java and Publish to Ovi Store
> http://p.sf.net/sfu/nokia-dev2dev
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Maybe you can make use of this, it's not complete but I'll work on it tomorrow.

ESPECIALLY for the libpng there is a trick to make fat libpng.

http://vincentdavis.info/Shared/Docs/matplotlib-installation/build/html/Macosx10.6.html

Maybe you can complete the sections which are in.

Friedrich

Hi,

Finding the (x,y) to properly position a label on the lower right hand
corner of all the maps I created using basemap is the challenge.  All these
maps were created using basemap() for different projections and covering
different areas of the world.
pyplot.text(x,y,...,bbox())  is the command I'd like to use to add the label
to the maps. Computing the x,y is what I have not been able to accomplish.

How can I get either the lat/lon or the X,Y position to add the label on the
lower right hand corner of the maps?
Lower left and upper right corners as well as center point
latitudes/longitudes, and projection are all known but I cannot find a
function or trick to get the lower right hand corner position for my label.
Thanks

-- 
View this message in context: http://old.nabble.com/pyplot-position-text%28%29-lower-right-corner-of-map-tp30068770p30068770.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Hi,

I want to create graphs, fully specify their properties and only then 
combine them in a single figure. The figure instance holding these 
graphs is made after creating the graphs: I want to decide afterwards 
what selection of graphs (subplots) to combine in my final figure.

I have plotting functions for creating graphs. What should they return? 
An axes instance, figure instance ....? How to combine them in a single 
figure?

I've tried adding an axes instance to a figure using fig.set_axes()

Bram

Greetings,

Is there any documentation available on how to write and use AGG filters 
in matplotlib ? The only information I could gather comes from the 
rather obscure example in 
http://matplotlib.sourceforge.net/examples/pylab_examples/demo_agg_filter.html.

This is a very powerful feature and I ended up adapting one of these 
demo filters to achieve what I wanted (a glossy effect on pie charts), 
but it took me quite a lot time to figure out what was going on through 
trial and error, and I can't shake away the feeling that I am not really 
sure of what I actually did.

Anyone knows of a comprehensive doc or tutorial on that subject ?


Regards,

Matthieu Huin

Hi, list.  Whenever I use matplotlib, I see the following set of
warnings:


/usr/lib64/python2.7/site-packages/matplotlib/font_manager.py:1242:
UserWarning: findfont: Font family ['cmb10'] not found. Falling back to
Bitstream Vera Sans
  (prop.get_family(), self.defaultFamily[fontext]))
/usr/lib64/python2.7/site-packages/matplotlib/font_manager.py:1252:
UserWarning: findfont: Could not match :family=Bitstream Vera
Sans:style=normal:variant=normal:weight=normal:stretch=normal:size=12.0.
Returning /usr/share/matplotlib/mpl-data/fonts/ttf/STIXGeneral.ttf
  UserWarning)
/usr/lib64/python2.7/site-packages/matplotlib/font_manager.py:1242:
UserWarning: findfont: Font family ['cmtt10'] not found. Falling back to
Bitstream Vera Sans
  (prop.get_family(), self.defaultFamily[fontext]))
/usr/lib64/python2.7/site-packages/matplotlib/font_manager.py:1242:
UserWarning: findfont: Font family ['cmss10'] not found. Falling back to
Bitstream Vera Sans
  (prop.get_family(), self.defaultFamily[fontext]))


They don't seem to affect my output, but I looked into it anyway.  It
turns out that the texcm-ttf package installed by most distributions
only includes a handful of fonts (cmex10.ttf, cmmi10.ttf, cmr10ttf,
cmsy10.ttf).  I was able to get rid of the warnings by manually
installing the missing fonts from
http://tug.ctan.org/tex-archive/fonts/cm/ps-type1/bakoma/ttf/

Should distributions be installing the rest of the TeX fonts like I did?
Is there another way to avoid these warnings?  Thanks.

Markus

One option is to use proxy artists.

http://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist

Regards,

-JJ


2010/10/26 Marek Giebułtowski <mg...@gm...>:
> Dear All,
> I use hist in pylab.I have different sets of data in different colours
> in one chart. In legend all rectangulars are unfortunately blue.
> In plot() it is ok but not in hist().
> How to receive correct colours in histogram legend?
>
> x is nested list x[1][2][3] is an ordinary list.
> for p in range(2,3):
>  for c in range(0,4):
>   hist(x[c][p][7],range=(0,2000),bins=20)
>  title('Axis dist[m];nr '+str(p)+nams(x[3][p][7]))
>  legend(['LHXGHX','>1','>3','>5'])
>  figure()
> Best Regards
> Marek Giebułtowski
>
> ------------------------------------------------------------------------------
> Nokia and AT&T present the 2010 Calling All Innovators-North America contest
> Create new apps & games for the Nokia N8 for consumers in  U.S. and Canada
> $10 million total in prizes - $4M cash, 500 devices, nearly $6M in marketing
> Develop with Nokia Qt SDK, Web Runtime, or Java and Publish to Ovi Store
> http://p.sf.net/sfu/nokia-dev2dev
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Try this.

def get_indx(irow, icol):
    return irow*4+icol

ax = plt.subplot(gs[get_indx(0,3):get_indx(3,3)])

With 1d slicing, the axes will occupy the rectangle defined by the
start and stop location.
For example,

gs[i:j]

will occupy the rectangular area between

gs[i] and gs[j-1].

Let me know if this does not work (this is only tested w/ the svn
version and may not work with v1.0).

Regards,

-JJ


On Tue, Oct 26, 2010 at 12:30 AM, Nikolaus Rath <Nik...@ra...> wrote:
> On 10/25/2010 11:18 AM, Jae-Joon Lee wrote:
>> On Mon, Oct 25, 2010 at 10:45 PM, Nikolaus Rath <Nik...@ra...> wrote:
>>> So I have to instantiate GridSpec with a (rows, column), but when I
>>> index the grid I have to use (column, row).
>>>
>>> Is there any reason for this counterintuitive behaviour?
>>>
>>
>> This is not an intended behavior but a bug which affects a grid of
>> non-square shape.
>> This has been fixed in the svn version.
>>
>> Meanwhile, you may use 1-d indexing. e.g.,
>>
>> import matplotlib.pyplot as plt
>> from matplotlib.gridspec import GridSpec
>>
>> gs = GridSpec(3, 4)
>>
>> for irow in range(3):
>>     for icol in range(4):
>>         ax = plt.subplot(gs[irow*4+icol])
>
> I see, thanks. Is there also a way to use this workaround for slices? I
> want a subplot in column 4 that spans all rows...
>
>
> Best,
>
>   -Nikolaus
>
> --
>  »Time flies like an arrow, fruit flies like a Banana.«
>
>  PGP fingerprint: 5B93 61F8 4EA2 E279 ABF6  02CF A9AD B7F8 AE4E 425C
>

the "bbox_inches" option does not work well for your case since the
axes frame (although not visible) occupy much larger area than your
plot elements. Make axis limits more tighter, then try to use
bbox_inches option (with this, you don't need to fiddle with subplot
params).

Here is my try.

ax.set_xlim(-ini, ini)
ax.set_ylim(-ini, ini+1)
ax.set_xticks([]) # this is needed for bbox_inches
ax.set_yticks([])

savefig("first-plot.pdf", bbox_inches="tight")

Regards,

-JJ


On Tue, Oct 26, 2010 at 7:26 PM, Lorenzo Isella
<lor...@gm...> wrote:
> Thanks.
> This indeed improves the situation (and your suggestions about a for
> loop is appreciated).
> I am surprised at the fact that I have been able to generate such a plot
> via scripting only (well, with a lot of help from the list) by browsing
> the online examples and with my limited knowledge of matplotlib.
> Keep up the good work.
> Cheers
>
> Lorenzo
>
> On 10/26/2010 06:07 AM, Tony S Yu wrote:
>>
>> On Oct 25, 2010, at 12:56 PM, Lorenzo Isella wrote:
>>
>>> Dear All,
>>> I am aware that this question has already been asked several times on
>>> the mailing list, see e.g.
>>>
>>> http://bit.ly/aPzQTA
>>>
>>> However, in the following snippet, nothing I tried has been able to
>>> reduce the amount of white space around the figure (including toying
>>> around with
>>>
>>> ax = plt.axes([0.0, 0.0, 1.0, 1.0])
>>> )
>>> Of course, one can always resort to pdfcrop, but I believe there must be
>>> a better solution to resize the margins from matplotlib.
>>> Please see the snippet at the end of the email.
>>> Every suggestion is welcome.
>>> Cheers
>>>
>>> Lorenzo
>>
>> [cut out code snippet]
>>
>> You can always use subplots_adjust. I haven't looked into the details of your code, but it appears as though the actual plot (the actual graphics) is well within the margins of your subplot (extending the boundaries of the subplot would still leave a lot of white space). To counteract this you can use negative padding (and padding greater than 1); e.g.
>>
>> subplots_adjust(top=1, bottom=-0.2, left=-0.3, right=1.3)
>>
>> (you can add this right before "savefig".) This means that the actual boundaries of the subplot extend outside the figure (which normally have extents from 0 to 1). The above gives pretty good results. To get any better, I think you need to adjust the aspect ratio of the figure to match the plot (you can do this by creating a "figure" and passing a value for "figsize").
>>
>> -Tony
>>
>> P.S. since you posted code, I'll offer an unsolicited suggestion. :) You can replace all your annotate commands (except for the last 2) with two short loops:
>>
>> for y in np.arange(-1.4, 1.5, 0.2):
>>      annotate("", xy=(-pi/2., y), xytext=(-ini, y), arrowprops=dict(fc="g"))
>> for y in np.arange(-1.4, 1.5, 0.2):
>>      annotate("", xy=(pi/2., y), xytext=(ini, y), arrowprops=dict(fc="g"))
>>
>
> ------------------------------------------------------------------------------
> Nokia and AT&T present the 2010 Calling All Innovators-North America contest
> Create new apps & games for the Nokia N8 for consumers in  U.S. and Canada
> $10 million total in prizes - $4M cash, 500 devices, nearly $6M in marketing
> Develop with Nokia Qt SDK, Web Runtime, or Java and Publish to Ovi Store
> http://p.sf.net/sfu/nokia-dev2dev
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>