matplotlib-users Mailing List for matplotlib

I am encountering a font problem when I try to save in .PS or .EPS format.
I am using matplotlib 0.90 on windows xp but I had the very same
problem with the older version too.

See attached output:
http://img207.imageshack.us/img207/3966/croppercapture11kg8.jpg

Any idea?

-- 
Giorgio
gi...@gi...
http://www.cafelamarck.it

Benoit Donnet wrote:
> Hey guys,
>
> I'm trying to plot quantiles information (percentile 10, 25, 50, 75 
> and 90).  Attached, you'll find a jpged of what I would like to do 
> (this was done using Gnuplot): the vertical line delineates the range 
> from the 10th to the 90th percentile.  Small tick bars to either side 
> of the lines mark some additional percentiles: bar to the left for the 
> 25th and bar to the right for the 75th.  Finally, dots mark the median.
>
> I attempted to use matplotlib.finance modules.  In particular, the 
> candlestick stuffs are quite close to what I want.  But it didn't work 
> as the X-Axis does not correspond to a date information (X-Axis values 
> are within the range [1:1780]).
>
> Have you got an idea on how I can plot that using matplotlib?
>
> Thanks in advance.
>
> Keep on rockin'
>
> Benoit
>

Benoit:  This looks very similar to what the boxplot function does (see 
http://matplotlib.sourceforge.net/matplotlib.pylab.html#-boxplot and 
boxplot_demo.py).  If you want to tweak it, the boxplot function in 
axes.py might be a good starting point.

-Jeff

-- 
Jeffrey S. Whitaker         Phone  : (303)497-6313
Meteorologist               FAX    : (303)497-6449
NOAA/OAR/PSD  R/PSD1        Email  : Jef...@no...
325 Broadway                Office : Skaggs Research Cntr 1D-124
Boulder, CO, USA 80303-3328 Web    : http://tinyurl.com/5telg

Nicolas wrote:
> I think however matplotlib may be used only (and it will be even better 
> as I plan to make a Qt version in the future)

good idea.

> So, in :
>  >>> from matplotlib.transforms import Value
>  >>> from matplotlib.backends.backend_agg import RendererAgg
>  >>> r = RendererAgg(50, 50, Value(72))
>  >>> r.draw_image (0, 0, im)
> 
> What is the correct format for im ?

I'm no expert, but probably a string that's the same format as what 
tostring_argb() returns, so something like this should work (untested!):


buffer = self.get_renderer().tostring_argb()
l, h = self.GetSize()
matrix = numpy.fromstring(buffer, dtype=numpy.byte)
matrix.shape = (l,h,4) # 4 for a,r,g,b
sub_matrix = matrix[min_x:max_x, min:y_max_y, :]
r.draw_image (0, 0, sub_matrix.tostring())

-Chris



-- 
Christopher Barker, Ph.D.
Oceanographer

Emergency Response Division
NOAA/NOS/OR&R            (206) 526-6959   voice
7600 Sand Point Way NE   (206) 526-6329   fax
Seattle, WA  98115       (206) 526-6317   main reception

Chr...@no...

Hi,

I would like to be able to use matplotlib as an object canvas, where
items on the canvas receive mouse events (enter, leave, press, release)
and the registered callback is invoked.

For example, I want to be able to highlight the line associated with
the legend entry as I mouse over the legend, and conversely highlight 
the legend entry associated with the line as I mouse over the line.
I will also want to do operations such right clicking on the axis to
modify axis properties such as linear/log scale, and click on legend
entries to toggle lines on and off.

>From looking at the pick_event_demo in examples, I have a lot of work 
ahead of me.  Is this the state of the art?

Before diving in and figuring out how to do some of these things, I
would like to know if others have already implemented similar features
in the current architecture, and if there are any plans in the works
for upgrading the architecture that would make this easier.

Thanks in advance,

	- Paul

Michael Newman wrote:
> My understanding is the "contour" method only handles plots of 
> functions, e.g. f(x,y) = z, and not discrete points. I tried looking 
> into this weeks ago, and couldn't find a way to handle discrete points.
>
> I'd love to be able to do Kriging or Inverse Distance Weighting contour 
> lines on XY points I have of pollution concentrations at various monitors...
>
>   
Michael:  There are three different methods for doing this described at

http://www.scipy.org/Cookbook/Matplotlib/Gridding_irregularly_spaced_data

-Jeff

-- 
Jeffrey S. Whitaker         Phone : (303)497-6313
NOAA/OAR/CDC  R/PSD1        FAX   : (303)497-6449
325 Broadway                Boulder, CO, USA 80305-3328

My understanding is the "contour" method only handles plots of 
functions, e.g. f(x,y) = z, and not discrete points. I tried looking 
into this weeks ago, and couldn't find a way to handle discrete points.

I'd love to be able to do Kriging or Inverse Distance Weighting contour 
lines on XY points I have of pollution concentrations at various monitors...

Thank you very much.
I know very little about numpy in fact.

If I don't find a pure matplotlib method, I will use your suggestion with
wx.
I think however matplotlib may be used only (and it will be even better as I
plan to make a Qt version in the future)

So, in :
>>> from matplotlib.transforms import Value
>>> from matplotlib.backends.backend_agg import RendererAgg
>>> r = RendererAgg(50, 50, Value(72))
>>> r.draw_image(0, 0, im)

What is the correct format for im ?

Thanks,

Nicolas

On 7/2/07, Christopher Barker <Chr...@no...> wrote:
>
> I don't know how to do it with the MPL agg back-end, but I think you
> mentioned wx, and you can do it there instead. a wxImage can be
> constructed from a buffer object, then saved as a PNG. You may need to
> set the rgb and alpha portions separately. See the wxPython wiki and
> search for "Image".
>
> Also:
>
> >             matrix = []
> >             buffer = self.get_renderer().tostring_argb()
> >             l, h = self.GetSize()
> >             for ligne in xrange(h):
> >                 matrix.append([])
> >                 for colonne in xrange(l):
> >                     i = 4*(ligne*h + colonne)
> >                     pixel = buffer[i:i+4]
> >                     matrix[-1].append(pixel)
>
> This is a very slow way to create the numpy array!
>
> Option a: first create an empty array:
>
> matrix = numpy.empty((l,h,4), numpy.byte)
>
> then fill that in. but even better:
>
> you can build the array directly from the buffer string:
>
> matrix = numpy.fromstring(buffer, dtype=numpy.byte)
> lotlib-users
>
> --
> Christopher Barker, Ph.D.
> Oceanographer
>
> Emergency Response Division
> NOAA/NOS/OR&R            (206) 526-6959   voice
> 7600 Sand Point Way NE   (206) 526-6329   fax
> Seattle, WA  98115       (206) 526-6317   main reception
>
> Chr...@no...
>

Hey guys,

I'm trying to plot quantiles information (percentile 10, 25, 50, 75  
and 90).  Attached, you'll find a jpged of what I would like to do  
(this was done using Gnuplot): the vertical line delineates the range  
from the 10th to the 90th percentile.  Small tick bars to either side  
of the lines mark some additional percentiles: bar to the left for  
the 25th and bar to the right for the 75th.  Finally, dots mark the  
median.

I attempted to use matplotlib.finance modules.  In particular, the  
candlestick stuffs are quite close to what I want.  But it didn't  
work as the X-Axis does not correspond to a date information (X-Axis  
values are within the range [1:1780]).

Have you got an idea on how I can plot that using matplotlib?

Thanks in advance.

Keep on rockin'

Benoit