matplotlib-users Mailing List for matplotlib (Page 4)

I'm somewhat of a newbie and I have hopefully a simple question (people asking
similar questions in the archive seem to be beyond this already). I have a
working color fill generated using the set_facecolor command on a collection of
polygons. When I try to use colorbar() I get the message: cmap = mappable.cmp 
 AttributeError: 'NoneType' object has no
object 'cmap'. 
This question could be a little lacking in information? Maybe someone has a bit
of sample code that already does something like this?
Thanks!
Brian

Petr Jakes wrote:
>I am trying to think how to convert image (scanned map) to the Numeric array.
>My map is in Transverse Mercator projection (this is my intended
>target projection as well) and it has WGS84 coordinates (datum) on it.
>
>I just can't figure out, how I can identify the exact pixel, where (at
>least) the 3 wgs84 coordinates intersection point are located. I think
>I need such a identification so I will be able to assign the
>information about position (coordinates) to each image pixel during
>the conversion of the image to the Numeric array? Maybe there is some
>general function how to "calibrate" the picture(pixels) to the coordinates.
>
>Any idea about it? Or is my approach completely wrong?
>
>Thks and regards
>
>Petr
>
> 
>
Petr: I think the best approach would be make your scanned map into a 
'georeferenced' image (such as a geotiff). I think you can do this with 
gdal (http://gdal.maptools.org). Once the image is georeferenced, I can 
give you an example showing how to read it in using the python gdal 
module, convert it to an array and plot it with basemap. Sorry I can't 
be of more help, but this is really outside my realm of expertise.
-Jeff
-- 
Jeffrey S. Whitaker Phone : (303)497-6313
NOAA/OAR/CDC R/CDC1 FAX : (303)497-6449
325 Broadway Web : http://www.cdc.noaa.gov/~jsw
Boulder, CO, USA 80305-3328 Office: Skaggs Research Cntr 1D-124

Jeff,
thanks a lot for giving me your advices. Please understand it is about
20 years I am from the university so it is not always easy to get
things about maps etc. back to my head :)
I did study your some example code
http://matplotlib.sourceforge.net/screenshots/plotmap.py
and I thing I am able to follow it and understand how you are using it.
Generally it looks for me like you:
a) read the pre-prepared (sorted) scalar field (latitudes, longitudes, values)
b) store it in the three numarrays (topoin, lons , lats)
c) transform coordinates (lons , lats) to the chosen projection (to
 the native map projection grid) + interpolate data values (topoin)
 to the transformed coordinates.
d) assign color to the interpolated "data values" using colorpalet from
 the 'imshow'
e) plot "new" transformed "color" scalar field over the map
(please correct me, if I am wrong).
Now I am reading your first posting again:
---snip---
> However, you may be able to do it by importing your image using PIL,
> converting it to a Numeric array and then plotting it over the map
> projection using imshow. To see how to convert an image to and from
> a Numeric array see http://effbot.org/zone/pil-numpy.htm
---Snip---
I am trying to think how to convert image (scanned map) to the Numeric array.
My map is in Transverse Mercator projection (this is my intended
target projection as well) and it has WGS84 coordinates (datum) on it.
I just can't figure out, how I can identify the exact pixel, where (at
least) the 3 wgs84 coordinates intersection point are located. I think
I need such a identification so I will be able to assign the
information about position (coordinates) to each image pixel during
the conversion of the image to the Numeric array? Maybe there is some
general function how to "calibrate" the picture(pixels) to the coordinates.
Any idea about it? Or is my approach completely wrong?
Thks and regards
Petr

Hello Aure,
>Amongst other libraries, I have been using Matplotlib to build some scanning
>X-ray images I will publish soon (Journal of Applied Crystallography if
>accepted). I don't know if this is an issue for someone, but I would like to
>include a reference, can anyone tell me if there is a standard one or whether
>it is worth it for anyone to be mentioned ? 
> 
>
This question has just been answered a few threads ago ("success 
story"). To quote JDH:
> Perhaps it would be a good idea for you and others who publish with
> mpl to cite it in the methods section (eg "figures x, y,and z were
> generated using matplotlib") with a reference pointing to the web
> site. Promotion and publicity is always a good thing. Some journals
> don't allow links in the citations, in which case you could use
> 
> @InProceedings{BarrettEtal2004,
> Author = {Barrett, P. and Hunter, J.D. and Greenfield, P.},
> Title = {Matplotlib - {A} Portable {Python} Plotting Package},
> BookTitle = {Astronomical Data Analysis Software \& Systems {XIV}.},
> year = 2004
> }
Niklas.

sorry, example contained syntax error...
On 21/09/05 15:11:16, Jack Andrews wrote:
> back to my scattered circles... can you show me =20
> how to center text (labels) inside the big =20
> circles generated by this program (follows)? =20
> help much appreciated.
#!/usr/bin/env python
from pylab import *
N=3D5
def onecolor(c):
 x,y=3Drand(2,N)
 return scatter(x,y,c=3Dc,s=3Darray([600]+[30]*(N-1)))
[r,b]=3D[onecolor(c) for c in 'red blue'.split()]
# find first of each sequence of patches and
# write 'red' in the red one (and 'blue' for blue)
grid(True)
show()

John Hunter wrote:
> 
> 10 minutes to walk out the door to scipy. tick tock....
> 
> I have been heroically rebuilding gtk/pygtk from source on my
> powerbook (10.3) and everything is working under X11 except my app
> crashes with a fontconfig error message
> 
> No fonts found; this probably means that the fontconfig library is
> not correctly configured. You may need to edit the fonts.conf
> configuration file. More information about fontconfig can be found
> in the fontconfig(3) manual page and on http://fontconfig.org.
> 
> The fontconfig file in /usr/local/etc seems to be a generic linux
> setup. There is an OSX looking beast in /etc/fonts/fonts.conf
> 
> Any quick suggestions before I run?
Whatever's in /usr/local/etc has nothing to do with Apple's X11. It
probably got installed with GTK somehow. How did you install GTK?
You might be able to get going by copying /etc/fonts/fonts.conf to the
equivalent in /usr/local/etc/.
-- 
Robert Kern
rk...@uc...
"In the fields of hell where the grass grows high
 Are the graves of dreams allowed to die."
 -- Richard Harter

>>>>> "John" == John Hunter <jdh...@ac...> writes:
 John> The fontconfig file in /usr/local/etc seems to be a generic
 John> linux setup. There is an OSX looking beast in
 John> /etc/fonts/fonts.conf
 John> Any quick suggestions before I run?
Nevermind: copy the <dir> entries from /etc/fonts/fonts.conf to
/usr/local/etc/fonts/fonts.conf and 
 > sudo fc-cache
Eureka! And that is what I call "in the nick of time".
JDH

 
10 minutes to walk out the door to scipy. tick tock....
I have been heroically rebuilding gtk/pygtk from source on my
powerbook (10.3) and everything is working under X11 except my app
crashes with a fontconfig error message
 No fonts found; this probably means that the fontconfig library is
 not correctly configured. You may need to edit the fonts.conf
 configuration file. More information about fontconfig can be found
 in the fontconfig(3) manual page and on http://fontconfig.org.
The fontconfig file in /usr/local/etc seems to be a generic linux
setup. There is an OSX looking beast in /etc/fonts/fonts.conf
Any quick suggestions before I run?
Thanks!
JDH

Dear all,
Amongst other libraries, I have been using Matplotlib to build some scann=
ing
X-ray images I will publish soon (Journal of Applied Crystallography if
accepted). I don't know if this is an issue for someone, but I would like=
 to
include a reference, can anyone tell me if there is a standard one or whe=
ther
it is worth it for anyone to be mentioned ? Also, although this is not th=
e
correct mailing list for this, is there a general reference for Python ?
Cheers,
Aur=E9

>>>>> "Malte" == Malte Marquarding <Mal...@cs...> writes:
 Malte> Our first publication using matplotlib is with the referee.
 Malte> A big thanks to John.
Thanks all for the kind words. 
I certainly had paper submission in mind when writing matplotlib.
When using matlab, one thing I found is that when publishing papers I
needed to have more or less total control over every figure element,
from tick line width to title font weight and size, In particular,
often you want the fonts a little larger for publications because the
figure is shrunk down so far in the journal. One feature of mpl that
I use a lot, and may be under utilized, is per directory rc files.
Typically for interactive plotting I want a different set of defaults
(font sizes, savefig dpi, line widths, default backend, etc) than I do
for my publications, so when working on a manuscript, I often put an
rc file in that directory with defaults for that publication.
Perhaps it would be a good idea for you and others who publish with
mpl to cite it in the methods section (eg "figures x, y,and z were
generated using matplotlib") with a reference pointing to the web
site. Promotion and publicity is always a good thing. Some journals
don't allow links in the citations, in which case you could use
@InProceedings{BarrettEtal2004,
 Author = {Barrett, P. and Hunter, J.D. and Greenfield, P.},
 Title = {Matplotlib - {A} Portable {Python} Plotting Package},
 BookTitle = {Astronomical Data Analysis Software \& Systems {XIV}.},
 year = 2004
}
Good luck with your publication! 
JDH

>>>>> "Tom" == Tom Denniston <tom...@gm...> writes:
 Tom> I follow this list rather closely so I am hoping that I
 Tom> haven't missed something obvious here.
 Tom> I am trying to plot a line graph with pylab.plot. I was
 Tom> wondering if there is an easy way to plot a smoothed line
 Tom> graph like excel does by default. I could obviously apply a
 Tom> signal filter but I was wondering if there is a simple user
 Tom> friendly way to get something like excel does in matplotlb
 Tom> without the user having to know about signal processing.
It would help if you described more precisely what it is Excel does.
You may be surprised to learn that I rarely use Excel for plotting
<wink>
In general, and with a few exceptions, mpl tries to be a plotting
library, and despite some claims to the contrary, tries not to do much
magic. Automatic smoothing sounds a bit dangerous to me, and as you
say, is squarely in the realm of signal processing.
Here is a little helper function I use to generate a smoothing
functional -- it is a function that returns a function for smoothing
signals with a low pass filter. 
import scipy.signal as sig
def lowbutter(lpcf, lpsf, Fs, gpass=3, gstop=15):
 """
 Return a low pass butterworth filter with
 lpcf : lowpass corner freq
 lpsf : lowpass stop freq
 gpass : corner freq attenuation
 gstop : stop freq attenuation 
 return value is a callable function that will filter your data
 Example:
 mybutt = lowbutter(12, 15, eeg.freq) # pun intended
 sfilt = mybutt(s1)
 """
 
 Nyq = Fs/2.
 wp = lpcf/Nyq
 ws = lpsf/Nyq
 ord, Wn = sig.buttord(wp, ws, gpass, gstop)
 b, a = sig.butter(ord, Wn, btype='lowpass')
 def func(x):
 return sig.lfilter(b,a,x)
 return func
I use this function like
 myfilt = lowbutter(20,30,400)
and then pass myfilt off to plotting or analysis code. You could
easily write a smooth_plot. Here is a sketch of how it might go
def smooth_plot(x, y, somefilt=lowbutter(20,30,400), **kwargs):
 """
 plot x versus a smoothed version of y, using callable filter
 myfilt. kwargs are passed on to plot
 """ 
 y = myfilt(y)
 plot(x, y, **kwargs)
For bandpass data, the equivalent of lowbutter that I use is
def bandpass(lpsf, lpcf, hpcf, hpsf, Fs, gpass=3, gstop=20):
 """
 Return a butterworth bandpass filter
 lpcf : lowpass corner freq
 lpsf : lowpass stop freq
 hpcf : highpass corner freq
 hpsf : highpass stop freq
 gpass : corner freq attenuation
 gstop : stop freq attenuation 
 return value is a callable function that will filter your data
 """
 Nyq = Fs/2.
 wp = [lpcf/Nyq, hpcf/Nyq]
 ws = [lpsf/Nyq, hpsf/Nyq]
 ord, Wn = sig.buttord(wp, ws, gpass, gstop)
 b,a = sig.butter(ord, Wn, btype='bandpass') # pun intended
 def func(x):
 return sig.lfilter(b,a,x)
 return func
I don't think there could be any consensus on a default value for
myfilt since people work in very different time scales. 
A short wiki entry on the scipy web site on how to do write plotting
functions with filtering built in along the lines of the examples
above would be useful.
 http://www.scipy.org/wikis/topical_software/MatplotlibCookbook
If you would like to write one up, with example figures, that would be
great.
 Tom> Any help would be greatly appreciated.
 Tom> And, John and company thanks for a brilliant piece of
 Tom> software.
Much obliged,
JDH

hi all,
back to my scattered circles, can you show me how =20
to center text (labels) inside the big circles =20
generated by this program (follows)? help much =20
appreciated.
jack.
#!/usr/bin/env python
from pylab import *
N=3D5
def onecolor(c):
 x,y=3Drand(2,N)
 return scatter(x,y,c=3Dc,s=3Darray([600]+[30]*(N-1)))
[r,b]=3D[onecol(c) for c in 'red blue'.split()]
# find first of each sequence of patches and
# write 'red' in the red one (and 'blue' for blue)
grid(True)
show()

I follow this list rather closely so I am hoping that I haven't missed
something obvious here.
I am trying to plot a line graph with pylab.plot. I was wondering if
there is an easy way to plot a smoothed line graph like excel does by
default. I could obviously apply a signal filter but I was wondering
if there is a simple user friendly way to get something like excel
does in matplotlb without the user having to know about signal
processing.
Any help would be greatly appreciated.
And, John and company thanks for a brilliant piece of software.
-Tom

Our first publication using matplotlib is with the referee.
A big thanks to John.
Malte

>>>>> "Nadia" == Nadia Dencheva <den...@st...> writes:
 Nadia> Hi John, Martin, I was experimenting with drawing markers
 Nadia> one at a time for a ReadCursor class to provide the option
 Nadia> of marking the position of the cursor. I saw this email and
 Nadia> read the thread (the users mailing list is very helpful).
 Nadia> Since markers and lines go together and implementing
 Nadia> markers in the same way for ReadCursor would cause a lot of
 Nadia> code duplication, I tried pulling out the relevant
 Nadia> functions from lines.py and creating a Marker class -
 Nadia> attached. A test function is below. I am using TkAgg, so
 Nadia> _newstyle is True and renderer has draw_markers. x and y
 Nadia> in Marker.__init__ are sequences and are turned into 1d
 Nadia> arrays before passed to draw_markers. I get:
 Nadia> Traceback (most recent call last): File "test_marker.py",
 Nadia> line 9, in ? m.draw_marker(fcr) File
 Nadia> "/Users/dencheva/cvs-matplotlib/matplotlib/lib/matplotlib/markers.py",
 Nadia> line 556, in draw_marker markerFunc(renderer, gc, xt, yt)
 Nadia> File
 Nadia> "/Users/dencheva/cvs-matplotlib/matplotlib/lib/matplotlib/markers.py",
 Nadia> line 85, in _draw_pixel renderer.draw_markers(gc, path, xt,
 Nadia> yt) IndexError: Unexpected SeqBase<T> length.
With newstyle, the signature of draw_markers is
draw_markers(gc, path, rgbFace, x, y, trans)
where x and y are not transformed and trans is an mpl transform.
Here is the docstring from backend_bases.py
 def _draw_markers(self, gc, path, rgbFace, x, y, trans):
 """
 This method is currently underscore hidden because the
 draw_markers method is being used as a sentinel for newstyle
 backend drawing
 path - a matplotlib.agg.path_storage instance
 Draw the marker specified in path with graphics context gc at
 each of the locations in arrays x and y. trans is a
 matplotlib.transforms.Transformation instance used to
 transform x and y to display coords. It consists of an
 optional nonlinear component and an affine. You can access
 these two components as
 if transform.need_nonlinear():
 x,y = transform.nonlinear_only_numerix(x, y)
 # the a,b,c,d,tx,ty affine which transforms x and y
 vec6 = transform.as_vec6_val()
 ...backend dependent affine...
 """
 pass
You may also want to search the dev archives for more elaborate
discussions. I'm short on time now so gotta run!
JDH

I would like to echo Darren sentiments. John and all others that have
contributed: You've really done a great job!
-----Original Message-----
From: Darren Dale [mailto:dd...@co...]=20
Sent: Monday, September 19, 2005 8:55 PM
To: mat...@li...
Subject: [Matplotlib-users] success story
Hi Folks,
I wanted to share a quick story. I'm in the process of wrapping up my=20
dissertation. Nearly every figure is generated with MPL, using the TeX=20
support that John spearheaded a while back. I paid a visit to the
dreaded=20
thesis secretary on Friday, who has a reputation of being extremely
tough.=20
She gave me an A+.
John, you don't hear this frequently enough. You're the man.
Darren
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Great. Thanks!
Helge Avlesen wrote:
> On 9/20/05, Steinar Rune Eriksen <sr...@bi...> wrote:
> 
>>One question for me (being a new matplotlib user). When using this
>>recipe to get it incorporated in Zope, I get a gray area around my
>>chart. Anyway to set this to a different color (white) ?
> 
> 
> you could try
> 
> figure.facecolor : white
> 
> in your matplotlibrc
> 
> Helge
> 
> 
> -------------------------------------------------------
> SF.Net email is sponsored by:
> Tame your development challenges with Apache's Geronimo App Server. Download
> it for free - -and be entered to win a 42" plasma tv or your very own
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Hi list,
Hi John,
I'm using matplotlib in OO mode.
I created an instance of Figure then add some subplots to it.
 from matplotlib.axes import Subplot
 from matplotlib.figure import Figure
 self.fig = Figure(figsize=(320,200), dpi=80)
 a = self.fig.add_subplot(1,1,1, axisbg='r')
Now i create another instance of Figure.
 self.new_fig = Figure(figsize=(320,200), dpi=80)
My aim is to add a Subplot instance to the new Figure instance and 
changind the number of rows and columns and the position of the Subplot.
I could have done:
 self.new_fig.add_subplot(a)
Nevertheless, it doesn't work. self.new_fig is empty when displaying it 
in a FigureCanvas.
Furthermore, i need the property of subplot to change.
 a.set(2,2,1)
 self.new_fig.add_subplot(a)
Is there any solution except to make another instance of the subplot?
Thanks a lot,
Philippe Collet

Hi John, Martin,
I was experimenting with drawing markers one at a time for a ReadCursor
class to provide the option of marking the position of the cursor. I 
saw this
email and read the thread (the users mailing list is very helpful).
Since markers and lines go together and implementing markers in the 
same way
for ReadCursor would cause a lot of code duplication, I tried pulling 
out the relevant
functions from lines.py and creating a Marker class - attached. A test 
function is below.
 I am using TkAgg, so _newstyle is True and renderer has draw_markers.
x and y in Marker.__init__ are sequences and are turned into 1d arrays 
before passed to
draw_markers. I get:
Traceback (most recent call last):
 File "test_marker.py", line 9, in ?
 m.draw_marker(fcr)
 File 
"/Users/dencheva/cvs-matplotlib/matplotlib/lib/matplotlib/markers.py", 
line 556, in draw_marker
 markerFunc(renderer, gc, xt, yt)
 File 
"/Users/dencheva/cvs-matplotlib/matplotlib/lib/matplotlib/markers.py", 
line 85, in _draw_pixel
 renderer.draw_markers(gc, path, xt, yt)
IndexError: Unexpected SeqBase<T> length.
What am I doing wrong?
If I set _newstyle explicitely to False, in order to test this part of 
the various draw_* functions,
I don't get any errors but a marker is not plotted.
So, again I must be doing something wrong.
If I understand this correctly I need the same functionality as Martin. 
If either of you have any ideas of
what is wrong, I'd appreciate any help. Also we don't have to reinvent 
the wheel independently, so if
this is not the right approach and Martin has a better way I am willing 
to help with this, by testing or any
other way.
Thanks,
Nadia Dencheva

>>>>> "Nadezhda" == Nadezhda Dencheva <den...@st...> writes:
 Nadezhda> I can only add that for me the crash appears only in
 Nadezhda> ipython on OS X with this particular font. It is in the
 Nadezhda> set_text function and after I added print statements it
 Nadezhda> went away. From reading the mailing list and when other
 Nadezhda> people get crash, it seems that the only common thing is
 Nadezhda> the font - Vera.ttf.
 Nadezhda> Is there a way to tell matplotlib what font to use?
Paul did add support for this when writing the font manager.
You should be able to do, eg
 from matplotlib.font_manager import FontProperty
 prop = FontProperty(fname='/path/to/somefont.ttf')
 xlabel('some text', fontproperties=prop)
Since you said the crash went away when you added a print statement,
my guess is that there is a bad pointer haunting us in the font module
that is cropping up (or not) in different contexts. If you get
any more information, let us know.
JDH

I can only add that for me the crash appears only in ipython on OS X
with this particular font. It is in the set_text function and after
I added print statements it went away. From reading the mailing list
and when other people get crash, it seems that the only common thing is
the font - Vera.ttf.
Is there a way to tell matplotlib what font to use?
(after I removed the print statements (nothing else changed) matplotlib
doesn't load this font any more, so I can't reproduce the crash.)
If I can tell it to use Vera.ttf and reproduce it, this will help
keep my sanity.
Nadia
John Hunter wrote:
>>>>>>"Christian" == Christian Kristukat <ck...@ho...> writes:
> 
> 
> Christian> Hi, the WXAgg backend of 0.84 produces segfaults on
> Christian> linux using wxPython2.6-gtk2-unicode-2.6.1.0-1_py2.3.
> 
> Have you verified that it is wxagg specific? Eg, what do happens with
> the following backends: WX, Agg, PS?
> 
> Christian> This is the debugging output:
> Christian> found Bitstream Vera Sans, normal, normal 500, normal,
> Christian> 12.0 findfont returning /usr/share/matplotlib/Vera.ttf
> Christian> Segmentation fault
> 
> Nadia recently reported a crash in the font module in OS X when
> loading Vera.ttf, but hers was only in ipython. Weird. What version
> of freetype are you using? She was using 2.1.9 think.
> 
> It would really help if we could nail this down, but I haven't been
> able to replicate it on my end yet. If you could edit src/ft2font.cpp
> and fint the Ft2Font::set_text function. Add a lot of lines thoughout
> that function like
> 
> _VERBOSE("FT2Font::set_text 1");
> //some code here
> _VERBOSE("FT2Font::set_text 2");
> //some code here
> _VERBOSE("FT2Font::set_text 3");
> 
> and then switch VERBOSE=True in setup.py and reinstall. I sometimes
> go through a couple of iterations ("poorman's binary search") to find
> the precise line that is crashing.
> 
> Note it is only a guess that the crash is in set_text, based on the
> information I got from Nadia when we left off on this issue, but the
> VERBOSE output will give more precise information in this regard.
> 
> JDH
> 
> 
> -------------------------------------------------------
> SF.Net email is sponsored by:
> Tame your development challenges with Apache's Geronimo App Server. Download
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It sounds like you want step_pts from
http://www.american.edu/econ/pytrix/pytrix.py
Maybe.
Alan Isaac
def step_pts(x, y):
=09'''Given x and y, return points for step function plot.
=09:Parameters:
=09 - `x`: [x0,x1,...,xn] list of x values (first coordinate)
=09 - `y`: [y0,y1,...,yn] list of y values (second coordinate)
=09:rtype: tuple of lists
=09:return: (xnew,ynew)
=09=09where xnew=3D(x0,x1,x1,...,xn,xn) and ynew=3D(y0,y0,y1,y1,...,yn).
=09:author: Alan G. Isaac
=09:since: 2005年05月15日
=09'''=20
=09pts=3Dzip(x,y) #original points as tuples
=09inter =3D zip(x[1:],y[:-1]) #new points as tuples
=09#now splice pts and inter -> list of all points as tuples
=09pts_inter =3D [j for i in map(None,pts,inter) for j in i][:-1]
=09#split the points list into (x-coordinates),(y-coordinates)
=09z =3D zip(*pts_inter)=20
=09return z[0],z[1]

John Hunter wrote:
>>>>>>"Christian" == Christian Kristukat <ck...@ho...> writes:
> 
> 
> Christian> Hi, the WXAgg backend of 0.84 produces segfaults on
> Christian> linux using wxPython2.6-gtk2-unicode-2.6.1.0-1_py2.3.
> 
> Have you verified that it is wxagg specific? Eg, what do happens with
> the following backends: WX, Agg, PS?
> 
It happens only with WXAgg.
> 
> _VERBOSE("FT2Font::set_text 1");
> //some code here
> _VERBOSE("FT2Font::set_text 2");
> //some code here
> _VERBOSE("FT2Font::set_text 3");
> 
the error doesn't seem to be related to set_text:
FT2Font::set_text
FT2Font::set_text 1
FT2Font::set_text 2
FT2Font::set_text 3
FT2Font::set_text 4
FT2Font::set_text 5
FT2Font::set_text 5
FT2Font::set_text 5
FT2Font::set_text 6
FT2Font::set_text done
FT2Font::getattr
FT2Font::draw_glyphs_to_bitmap
FT2Font::compute_string_bbox
FT2Font::draw_bitmap
FT2Font::draw_bitmap
FT2Font::draw_bitmap
RendererAgg::draw_text
GCAgg::GCAgg
GCAgg::points_to_pixels
GCAgg::get_color
GCAgg::antialiased
GCAgg::_set_linecap
GCAgg::_set_joinstyle
GCAgg::_set_dashes
GCAgg::_set_clip_rectangle
RendererAgg::set_clipbox_rasterizer
RendererAgg::set_clipbox_rasterizer done
SeparableTransformation::eval_scalars
Affine::eval_scalars
Affine::eval_scalars DONE
Affine::operator
_transforms_module::new_value
_transforms_module::new_value
_transforms_module::new_point
Point::Point
_transforms_module::new_value
_transforms_module::new_value
_transforms_module::new_point
Point::Point
_transforms_module::new_bbox
Bbox::Bbox
Value::get
Bbox::~Bbox
Point::~Point
Value::~Value
Value::~Value
Point::~Point
Value::~Value
Value::~Value
Value::get
Interval::~Interval
Bbox::get_bounds
Value::get
Christian

Nils Wagner wrote:
> Steve Schmerler wrote:
> 
>>Nils Wagner wrote:
>>
>>>Hi all,
>>>
>>>Is it intended that a variety of messages like
>>>
>>>LazyValue::init_type
>>>Value::init_type
>>>BinOp::init_type
>>>Point::init_type
>>>Interval::init_type
>>>Bbox::init_type
>>>Func::init_type
>>>FuncXY::init_type
>>>Transformation::init_type
>>>SeparableTransformation::init_type
>>>NonseparableTransformation::init_type
>>>Affine::init_type
>>>init_nc_transforms
>>>Glyph::init_type
>>>FT2Font::init_type
>>>_transforms_module::new_value
>>>_transforms_module::new_value
>>>_transforms_module::new_point
>>>Point::Point
>>>_transforms_module::new_value
>>>_transforms_module::new_value
>>>_transforms_module::new_point
>>>Point::Point
>>>_transforms_module::new_bbox
>>>Bbox::Bbox
>>>_transforms_module::new_value
>>>_transforms_module::new_value
>>>_transforms_module::new_point
>>>Point::Point
>>>_transforms_module::new_value
>>>_transforms_module::new_value
>>>_transforms_module::new_point
>>>Point::Point
>>>_transforms_module::new_bbox
>>>Bbox::Bbox
>>>_transforms_module::new_func
>>>_transforms_module::new_func
>>>_transforms_module::new_separable_transformation
>>>BBoxTransformation::BBoxTransformation
>>>SeparableTransformation::SeparableTransformation
>>>init_nc_image
>>>Image::init_type
>>>_transforms_module::new_value
>>>Value::~Value
>>>init_nc_backend_agg
>>>
>>>appear on the screen ? I am using the latest cvs version.
>>>
>>>Nils
>>>
>>>
>>>
>>>-------------------------------------------------------
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>>>
>>
>>Hi
>>
>>Did you compile with VERBOSE = True?
>>
>>cheers,
>>steve
>>
> 
> I have used
> 
> python setup.py build
> python setup.py install
> 
> to install matplotlib. Where can I find this flag ?
> 
> Nils
> 
> 
Hi
in setup.py
When you say
	plot(...)
you will see a lot of such messages.
cheers,
steve

>>>>> "Martin" == Martin Richter <law...@gm...> writes:
 Martin> Hello everyone, Hello John,
 Martin> as you advised in a Mail some days ago concerning a
 Martin> fastplot-command I wrote a polygon_factory and it worked
 Martin> quite well (In large parts taken from Line2D). See the
 Martin> code attached. What I now want to ask you is: Would it be
 Martin> good to write this object-oriented (propably yes, so one
 Martin> gets rid of all those tiny funktions _make_...(size))? One
 Martin> drawback which comes into my mind is: How should this
 Martin> class be used within fastplot()? Initialize an instance
 Martin> each time you plot a single point? Wouldn't this slow down
 Martin> everything a bit (or am I overestimating the time-scales)?
 Martin> On the otherhand using a class would look very 'tidy'.
Yes, it would be tidy, but you might pay for that in performance as
you suggest. As far as tidiness, you can use the existing approach
and not add all the _make* functions the __all__ list the module
exports -- this would make the helper functions invisible. You could
also use nested scopes
 def my_factory(*args):
 def helper1(x): pass
 def helper2(x): pass
 do_something_and_return()
However, since the code you use to compute the vertices is lifted from
lines.py, it would be nice to define one set of functions that could
be reused by both the line marker code and polygon code. This would
be the cleanest design and would be easier to maintain, but it would
require refactoring both your code and the lines.py code a little. If
you want to take this on, that would be great.
JDH