matplotlib-users Mailing List for matplotlib (Page 1450)

On Thu, 4 Mar 2004, matthew arnison wrote:
> * if I savefig('file.eps') from the TkAgg backend, the EPS file is sized 
> to something much bigger than A4 (but it still works fine from the GTK 
> backend)
I've just found I've had similar problems saving EPS figures from the GTK
backend of matplotlib 0.51 too.
Plus TkAgg doesn't like it if you close a plot using the window close box 
(not the X in the toolbar):
[I have TkAgg as my default backend in ~/.matplotlibrc and interactive 
set to True]
$ python
Python 2.2.2 (#1, Feb 24 2003, 19:13:11)
[GCC 3.2.2 20030222 (Red Hat Linux 3.2.2-4)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> from matplotlib.matlab import *
>>> x = arange(0.0, 3.14, 0.01)
>>> plot(x, sin(x))
[<matplotlib.lines.Line2D instance at 0x84143b4>]
... click on window close button (not toolbar close button) ...
>>> plot(x, sin(x))
Traceback (most recent call last):
 File "<stdin>", line 1, in ?
 File "/usr/lib/python2.2/site-packages/matplotlib/matlab.py", line 788, 
in plot
 draw_if_interactive()
 File 
"/usr/lib/python2.2/site-packages/matplotlib/backends/backend_tkagg.py",
line 46, in draw_if_interactive
 figManager.show()
 File 
"/usr/lib/python2.2/site-packages/matplotlib/backends/backend_tkagg.py",
line 121, in show
 self.window.deiconify()
 File "/usr/lib/python2.2/lib-tk/Tkinter.py", line 1343, in wm_deiconify
 return self.tk.call('wm', 'deiconify', self._w)
TclError: can't invoke "wm" command: application has been destroyed
m.

Hi
Now that we have the lovely new syntax for setting legend labels for each 
line:
plot(x, sin(x), label='sin(x)')
plot(x, cos(x), label='cos(x)')
how do we then move the legend from the default upper right location?
legend()
turns the legend on, but the LOC argument has to be second or third, after 
the LINES and/or LABELS. What about a new loc keyword for legend? E.g.
legend(loc=5)
While we're talking about problems inherited from matlab's use of
positional arguments, is there some easy way to set the x or y axis limits
without setting the other axis? E.g. if I want to leave the x axis
automatic, but manually set the y axis?
I looked at help(axis) and at 
http://matplotlib.sourceforge.net/matlab_commands.html
and I couldn't see anything obvious like xaxis or yaxis functions.
This works:
autoaxis = axis()
autoaxis[2:4] = (ymin, ymax)
axis(autoaxis)
but what if I add a plot afterwards that changes the x axis limits?
And it seems like hard work compared to:
yaxis(ymin, ymax)
Cheers,
Matthew.

>>>>> "Arnold" == Arnold Moene <arn...@wu...> writes:
 Arnold> unsupported operand type(s) for /: 'array' and 'float'
This is a known bug with older versions of Numeric (eg 22.0) combined
with "from __future__ import division". It also affects current
versions of numarray. If you upgrade to the latest Numeric it will go
away. I try and code around it; in this case I forgot. I'll add the
parens.
 Arnold> PS: the mathtext-option was a very pleasant surprise to me
 Arnold> (hadn't seen any discussion on it on the mailing list).
Glad to hear it - there was some discussion on the matplotlib-devel
list. I'm sure you'll encounter strangeness and some parse errors
since it is not widely tested, so please alert me when you do (check
the KNOWN ISSUES section of
http://matplotlib.sourceforge.net/matplotlib.mathtext.html).
JDH

Hi all,
I encountered a strange error (which I now remember was there already in 
version 0.50). When I run (for example) the mathtext_demo.py, I get the 
following error:
<error>
File 
"/usr/lib/python2.3/site-packages/matplotlib/backends/backend_gtk.py", 
line 504, in points_to_pixels
 return points*PIXELS_PER_INCH/72.0*self.dpi.get()/72.0
TypeError: unsupported operand type(s) for /: 'array' and 'float'
</error>
When I replace that line 504 with (note the parentheses)
 return points*(PIXELS_PER_INCH/72.0*self.dpi.get()/72.0)
python is happy.
I don't understand why python doesn't like the present construct.
Possibly an odd combination of versions:
-> Python 2.3 (#2, Aug 31 2003, 17:27:29) [GCC 3.3.1 (Mandrake Linux 9.2 
3.3.1-1mdk)] on linux2
-> Numeric 22.0
-> scipy cvs_version = (1,196,1591,4120)
Cheers,
Arnold
PS: the mathtext-option was a very pleasant surprise to me (hadn't seen 
any discussion on it on the mailing list).

Well that was one juicy update!
I was just trying to figure out how to speed up the completer in
interactive.py (which adds a noticable lag to the prompt if len(locals()) 
gets to 3000 like it does for me) when I noticed this new release.
TkAgg allows me to use the default python in interactive mode, which 
allows me to use rlcompleter, *and* have matplotlib plots pop up 
without losing the prompt. Which is all lovely.
A couple of issues I noticed with TkAgg:
* fontTools installed one of its files (FontTools.pth I think) without
read permission for normal users, which cause import fontTools to fail
mysteriously
* fontTools didn't find my TTF fonts because the extensions were TTF
instead of ttf
* if I savefig('file.eps') from the TkAgg backend, the EPS file is sized 
to something much bigger than A4 (but it still works fine from the GTK 
backend)
* after playing around, I found that 
text.fontname : sans
in .matplotlibrc is the only way to get reasonably nice sans serif both in 
TkAgg and in eps files. Otherwise I get complaints from one or the other 
(e.g. if I specify Arial or Helvetica).
Cheers and thanks,
Matthew.

First of all, thanks very much for matplotlib! This is a great library, and
fills one of the last voids in regards to scientific python computing.
On to the question, has anyone written a boxplot function yet? If so,
please share the code. If not, I'll take a stab at it.
Best Regards,
Mike

Hello John,
 I have run into the following minor matplotlib bug. Using the sample 
code below, the y axis label and tick marks in the second subplot seem 
not to be in the right places. Also on that second subplot, the first 
legend is missing when the window is initially drawn, but gets redrawn 
correctly if I use the x axis interactive scrolling buttons.
 Attached to this note is a snapshot of the figure window as initially 
drawn showing the bugs. (I don't know whether the mailing list deals 
with attachments correctly, so I'm mailing you a copy directly.)
 The installation here is matplotlib version 0.50 running on a Redhat 
9 linux box:
[pje@amon site-packages]$ uname -a
Linux amon 2.4.20-6smp #1 SMP Thu Feb 27 09:59:40 EST 2003 i686 i686 
i386 GNU/Linux
-----------------------------------------------------------------------
Code:
from matplotlib.matlab import *
figure(1)
subplot(211)
plot(rand(50),'r')
plot(rand(30),'k')
plot(rand(80),'g')
plot(rand(70),'b')
plot(rand(60),'m')
plot(5 * array([1,1]), get(gca(),'ylim'), 'b')
plot(15 * array([1,1]), get(gca(),'ylim'), 'b')
axis([0,100,-2,2])
ylabel('Test me')
title('Test me')
legend(['TX Min', 'RX min', 'Pulse 1', 'Pulse 2', 'P1-P2'])
subplot(212)
plot(rand(50),'r')
plot(rand(30),'k')
plot(rand(80),'g')
plot(rand(70),'b')
plot(rand(60),'m')
plot(5 * array([1,1]), get(gca(),'ylim'), 'b')
plot(15 * array([1,1]), get(gca(),'ylim'), 'b')
axis([0,100,-2,2])
ylabel('Test me')
title('Test me')
legend(['TX Min', 'RX min', 'Pulse 1', 'Pulse 2', 'P1-P2'])
show()
--
----
Phil Erickson email: pj...@ha...
Atmospheric Sciences Group WWW: http://www.haystack.mit.edu
MIT Haystack Observatory voice: 781 981 5769
Westford, MA 01886 USA fax: 781 981 5766
Public key: http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x54878872

What's new in matplotlib 0.51
Tkinter backend
 Todd Miller has written a Tkinter backend. This is a significant
 step forward, because now matplotlib works out of the box with any
 python + numeric. The Tkinter backend works interactively from any
 python shell - see the interactive documentation. Also, because
 TkAgg uses the agg backend for rendering, it has all of the features
 of agg, including fast antialiased rendering, freetype2, alpha
 blending, mathtext, and so on. See
 http://matplotlib.sf.net/backends.html#TkAgg. To use the TkAgg
 backend, you must launch your scripts in interactive mode
 > python -i myscript.py -dTkAgg
 otherwise they'll just pop up and disappear.
freetype2 support added for agg backend
 With freetype2, agg now renders fonts nicely even at very small
 raster sizes.
math text
 matplotlib now ships with the BaKoMa TeX Computer Modern fonts, and
 displays math text using TeX expressions. See screenshot
 http://matplotlib.sf.net/screenshots.html#mathtext_demo and the
 mathtext documentation
 http://matplotlib.sf.net/matplotlib.mathtext.html for usage
 information. Currently available on GTK, Agg, TkAgg and GTKAgg. If
 you build matplotlib yourself, you need to edit setup.py and set
 BUILD_FT2FONT
configuration file
 A configuration file is placed in your install path
 (distutils.sysconfig.PREFIX + 'share/matplotlib'). This determines
 many of the default figure properties: the default backend, line
 properties, text properties, colors, and more. See
 http://matplotlib.sf.net/.matplotlibrc for an example configuration
 file and details. Place this in your home dir (linux and friends),
 or edit in the install path (windows).
numarray support
 Todd Miller has provided a numerix module
 http://matplotlib.sf.net/matplotlib.numerix.html which allows you to
 choose between Numeric of numarray. You can set Numeric or numarray
 in your matplotlibrc file, with an environment variable, or from the
 prompt. See the numerix module for more information and numarray
 issues http://matplotlib.sf.net/NUMARRAY_ISSUES for a summary of
 known issues in using numarray.
data clipping off by default
 Data clipping, as opposed to viewport clipping, is turned off by
 default. You can change the default behavior in .matplotlibrc or set
 it to be true when needed as in examples/stock_demo.py
kwargs in plot commands
 The plot commands now take kwargs that are can be used to set line
 properties (any property that has a set_* method). You can use this
 to set a line label (for auto legends), linewidth, anitialising,
 marker face color, etc. Here is an example:
 plot([1,2,3], [1,2,3], 'go-', label='line 1', linewidth=2)
 plot([1,2,3], [1,4,9], 'rs', label='line 2')
 axis([0, 4, 0, 10])
 legend()
Bugfixes and minor improvements
 * GTK : fixed a subplot selection GUI bug specific to python2.2
 * GTK : fixed a text layout bug 
 * ALL : Fixed a multiple column subplot layout bug
 * PS : Fixed an afm parser - thanks Dominique
 * Agg : Agg now respects antialiased=False
Download: 
 http://sourceforge.net/project/showfiles.php?group_id=80706&package_id=82474&release_id=221304

>>>>> "Phil" == Phil Erickson <pj...@ha...> writes:
 Phil> Hello John, I have run into the following minor matplotlib
 Phil> bug. Using the sample code below, the y axis label and tick
 Phil> marks in the second subplot seem not to be in the right
 Phil> places. Also on that second subplot, the first legend is
 Phil> missing when the window is initially drawn, but gets redrawn
 Phil> correctly if I use the x axis interactive scrolling buttons.
Hi Phil,
Wow, that was a subtle one. Thanks very much for a detailed
description, screenshot and demo code. You can distill the essence of
the bug in this script
 from matplotlib.matlab import *
 subplot(211)
 plot([1,2,3])
 ylabel('Test me')
 subplot(212)
 plot([1,2,3])
 ylabel('Test me')
 show()
The key observation is that this script exposes the bug, but
examples/subplot_demo.py does not. I found that if I commented out
the first ylabel the bug also disappeared. This led me to the
solution.
I cache font instances in many of the backends since font creation and
drawing can be expensive, particularly on the GTK backend for vertical
text where I have to do the rotation by hand, pixel-by-pixel in
python. In the cache I map text properties to font instances in a
dictionary. As one of the properties, I was using the x, and y coords
of the text in *user* rather than *display* coords, so the second
ylabel was using the cached information of the first. In the case of
the ylabels, the user coords are relative to their respective axes,
and so are identical for identical labels.
The same explanation applies to the legend code because the legends
had duplicate text.
A simple fix. In matplotlib.text.py, on or around line 118 replace
get_prop_tup with
 def get_prop_tup(self):
 """
 Return a hashable tuple of properties
 Not intended to be human readable, but useful for backends who
 want to cache derived information about text (eg layouts) and
 need to know if the text has changed
 """
 x, y = self.get_xy_display()
 return (x, y, self._text, self._color,
 self._verticalalignment, self._horizontalalignment,
 self._fontname, self._fontsize, self._fontweight,
 self._fontangle, self._rotation, self.dpi.get())
The key is to use the display coords for the cache value.
Thanks again,
JDH

John Hunter wrote:
>>>>>>"Phil" == Phil Erickson <pj...@ha...> writes:
> 
> 
> Phil> Hi all, I am really enjoying working with matplotlib and
> Phil> hats off to an excellent effort.
> 
> Phil> I have done a cursory search of the mailing list archives
> Phil> but didn't find the answer to a practical question that I
> Phil> ran into in MATLAB all the time (which is where I'm coming
> Phil> from in terms of familiarity).
> 
> Phil> Suppose I have an array to plot, and I want to exclude
> Phil> certain points from being plotted. In MATLAB, I would set
> Phil> the y vector points I wanted excluded to "NaN" and then the
> Phil> plot routine would draw connected lines up to the point
> Phil> before the excluded one, skip the bad/not wanted point, and
> Phil> then continue drawing lines beginning at the next point.
> 
> Phil> How does one accomplish that using matplotlib? This
> Phil> actually comes up quite often in our radar work here, in
> Phil> cases where we are making log plots of vectors which may
> Phil> contain zeros.
> 
> What matplotlib currently does is simply ignore non-positive data with
> an approach along the lines of
> 
> ind = nonzero(y > 0)
> validy = take(y, ind)
> 
> Just to make sure I'm understanding you properly, that's not a good
> solution for you because you want to the gap in the connected line
> where the complex (y<=0) points are. Is this right?
That's right. In our field, we often have data sets which have to be 
culled before plotting for points which might fail some sanity test like 
excessive variance, etc. I'm sure other science data sets have a 
similar requirement. For ease of use, I would definitely not want to 
have to break up my plot task into multiple lines myself by segmenting 
the incoming data, but rather have the method do it based on some signal 
value in the data.
In fact, the plots that I was trying to make were of a quantity which 
needs to be expressed in dB, which is
10 * log10(y)
So the problem is actually a bit more general, in that just calling 
semilogy() would make a plot of log10(y) which is not quite the same. 
For my needs, I have been using
plot(x, 10 * ProtectedLog(y))
where:
def ProtectedLog(a):
 "Calculate log10() but protect against non-positives."
 zeroIndex = find(a <= 0.0)
 b = array(a)
 for index in zeroIndex:
	# ideally we would use whatever value will
	# signal a non-plotted point; 1e-30 is
	# non-optimal
 b[index] = 1e-30
 c = log10(b)
 return c
Therefore, both plot() and semilogy() would have to pay attention to a 
special signal value.
> 
> What you describe is certainly possible but would impose a performance
> hit that depends on the number of separate connected lines that had to
> be constructed. Eg, semilogy could find the non-positive indices and
> create the line segments appropriately.
Indeed, but your line drawing functions seem to be fast enough that 
maybe this isn't an issue.
> 
> As for NaN, I'm not an expert here. As far as I understand, there is
> no support for it in Numeric but there is in numarray. Look for basic
> numarray support in the next release.
All our code uses Numeric, so we have inertia working against us :) NaN 
is for me just a value that I know MATLAB pays attention to when 
plotting. If you had another way to put a value in, I could use that 
and all would be well.
Unfortunately, it seems Python has some trouble with IEEE standard 
values such as positive/negative infinity and NaNs. There seems to be a 
pure Python package which would handle IEEE 754 standard NaN values at
http://www.analytics.washington.edu/Zope/projects/fpconst/
which perhaps might be a way to go. The author has also made a request 
that this functionality be included in further Python releases.
cheers,
-- 
----
Phil Erickson email: pj...@ha...
Atmospheric Sciences Group WWW: http://www.haystack.mit.edu
MIT Haystack Observatory voice: 781 981 5769
Westford, MA 01886 USA fax: 781 981 5766
Public key: http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x54878872

>>>>> "Phil" == Phil Erickson <pj...@ha...> writes:
 Phil> Hi all, I am really enjoying working with matplotlib and
 Phil> hats off to an excellent effort.
 Phil> I have done a cursory search of the mailing list archives
 Phil> but didn't find the answer to a practical question that I
 Phil> ran into in MATLAB all the time (which is where I'm coming
 Phil> from in terms of familiarity).
 Phil> Suppose I have an array to plot, and I want to exclude
 Phil> certain points from being plotted. In MATLAB, I would set
 Phil> the y vector points I wanted excluded to "NaN" and then the
 Phil> plot routine would draw connected lines up to the point
 Phil> before the excluded one, skip the bad/not wanted point, and
 Phil> then continue drawing lines beginning at the next point.
 Phil> How does one accomplish that using matplotlib? This
 Phil> actually comes up quite often in our radar work here, in
 Phil> cases where we are making log plots of vectors which may
 Phil> contain zeros.
What matplotlib currently does is simply ignore non-positive data with
an approach along the lines of
 ind = nonzero(y > 0)
 validy = take(y, ind)
Just to make sure I'm understanding you properly, that's not a good
solution for you because you want to the gap in the connected line
where the complex (y<=0) points are. Is this right?
What you describe is certainly possible but would impose a performance
hit that depends on the number of separate connected lines that had to
be constructed. Eg, semilogy could find the non-positive indices and
create the line segments appropriately.
As for NaN, I'm not an expert here. As far as I understand, there is
no support for it in Numeric but there is in numarray. Look for basic
numarray support in the next release.
JDH

>>>>> "Kuzminski," == Kuzminski, Stefan R <SKu...@fa...> writes:
 Kuzminski> I tried the new Agg backend, very nice. I'm all set
 Kuzminski> to jettison GD altogether and go with Agg except that
 Kuzminski> the anti-aliased graphs that look so great, print
 Kuzminski> poorly.. :-( Is there a way to turn off the
 Kuzminski> anti-aliasing? It would be *great* to be able to drop
 Kuzminski> that GD dependency.
agg plus/minus antialiasing is included in the next release, due out
soon. Alpha version is here if you want to test. Please report any
problems.
http://nitace.bsd.uchicago.edu:8080/files/share/matplotlib-0.51g.win32-py2.3.exe
JDH

Hello,
 
I'm trying to convert my python program that uses matplotlib to an exe
using py2exe and I'm having a problem. 
Running
>python setup.py py2exe
works fine and creates files in the /dist path. However, when I run the
.exe I get a runtime error (see below)
 
Traceback (most recent call last):
 File "out2jpg.py", line 124, in ?
 File "matplotlib\matlab.pyc", line 497, in figure
 File "matplotlib\backends\backend_wx.pyc", line 1066, in
new_figure_manager
 File "matplotlib\backends\backend_wx.pyc", line 1094, in __init__
 File "matplotlib\backends\backend_wx.pyc", line 1320, in __init__
 File "matplotlib\backends\backend_wx.pyc", line 1340, in
_create_controls
 File "matplotlib\backends\backend_wx.pyc", line 1191, in _load_bitmap
 File "matplotlib\__init__.pyc", line 157, in get_data_path
RuntimeError: Could not find the matplotlib data files
 
--Matt
 
 

Hi all,
 I am really enjoying working with matplotlib and hats off to an 
excellent effort.
 I have done a cursory search of the mailing list archives but didn't 
find the answer to a practical question that I ran into in MATLAB all 
the time (which is where I'm coming from in terms of familiarity).
 Suppose I have an array to plot, and I want to exclude certain points 
from being plotted. In MATLAB, I would set the y vector points I wanted 
excluded to "NaN" and then the plot routine would draw connected lines 
up to the point before the excluded one, skip the bad/not wanted point, 
and then continue drawing lines beginning at the next point.
 How does one accomplish that using matplotlib? This actually comes 
up quite often in our radar work here, in cases where we are making log 
plots of vectors which may contain zeros.
cheers,
-- 
----
Phil Erickson email: pj...@ha...
Atmospheric Sciences Group WWW: http://www.haystack.mit.edu
MIT Haystack Observatory voice: 781 981 5769
Westford, MA 01886 USA fax: 781 981 5766
Public key: http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x54878872

>>>>> "Dominique" == Dominique Orban <do...@da...> writes:
 Dominique> Allright thanks. In Linux, i can compile the new
 Dominique> matplotlib with gcc 3.3. I notice the same problem
 Dominique> with fontTools. This time i do have a FontTools.pth in
 Dominique> my source directory, but it isn't copied to
 Dominique> /whatever/python2.3/site-packages when i run python
 Dominique> setup.py install.
Just copy the file to site-packages. This problem is fixed in CVS but
with Paul's new font finder hopefully it will soon be a non-issue.
 Dominique> Now it doesn't find _backend_agg. Sorry to be bugging
 Dominique> you with all these minor annoyances.
No problem - I want to fix these problems as soon as possible so keep
them coming. 
Did you edit setup.py? You need to set the flags BUILD_AGG and
BUILD_FONTTOOLS. If this doesn't do it for you, please post compile
errors or tracebacks.
 Dominique> Also i notice the 'afm' problem i reported earlier with
 Dominique> the PS backend hasn't been fixed. Did you receive my
 Dominique> little fix?
Thanks for the reminder - it had slipped too low in the pile and I
forgot about it. It's in now.
JDH

John Hunter wrote:
> 
> ttfquery and FontTools are packages to enable cross platform
> font-finding. I am very interested in factoring out this dependency
> since it complicates installation (as you are seeing). [ Perry, if
> anyone in your group is still interested in this, there is a
> reasonably well documented example in cvs examples/ftface_props.py
> that shows how to access all the relevant freetype attributes (family
> name, is italics, etc) using the matplotlib.ft2face module ]
Hi John,
I'm currently working on a replacment for FontTools. I hope to have something 
out in the next day or so.
 -- Paul
-- 
Paul Barrett, PhD Space Telescope Science Institute
Phone: 410-338-4475 ESS/Science Software Branch
FAX: 410-338-4767 Baltimore, MD 21218

* On 2004年3月02日, John Hunter wrote:
>
> >>>>> "Dominique" == Dominique Orban <do...@da...> writes:
> 
> Dominique> I don't have it actually. It is on neither of my
> Dominique> Windows installs. Can i just create it?
> 
> OK, this is a bug in the windows installer - fixed for next release.
> Yes, just create it.
Allright thanks. In Linux, i can compile the new matplotlib with gcc 3.3.
I notice the same problem with fontTools. This time i do have a
FontTools.pth in my source directory, but it isn't copied to
/whatever/python2.3/site-packages when i run
python setup.py install.
Now it doesn't find _backend_agg. Sorry to be bugging you with all
these minor annoyances.
Also i notice the 'afm' problem i reported earlier with the PS
backend hasn't been fixed. Did you receive my little fix?
Dominique

>>>>> "Dominique" == Dominique Orban <do...@da...> writes:
 Dominique> I don't have it actually. It is on neither of my
 Dominique> Windows installs. Can i just create it?
OK, this is a bug in the windows installer - fixed for next release.
Yes, just create it.
 Dominique> I haven't seen any other user complain about
 Dominique> this. Could this come from an upgrade of matplotlib?
 Dominique> During the upgrade, it seems to be backing up stuff but
 Dominique> who knows what it is doing exactly.
Well, you would only notice it if 1) you haven't installed FontTools
before 2) you are using windows 3) you are trying to use on of the
FontTools dependent backends (Agg, GD) and 4) you are kind enough to
report the problem. 
 Dominique> The font.cache is in site-packages/ttfquery, i presume
 Dominique> this is correct?
After you fix the FontTools.pth problem erase this file and it will be
automagically recreated by ttfquery.
JDH

* On 2004年3月02日, John Hunter wrote:
> Critically, you should also have
> c:\Python23\Lib\site-packages\FontTools.pth. I am pretty certain it
> is in the windows installer. This file should contain one line, which
> reads simply 
> 
> FontTools
> 
> If you don't have it I would like to know! 
I don't have it actually. It is on neither of my Windows installs.
Can i just create it?
I haven't seen any other user complain about this. Could this come from
an upgrade of matplotlib? During the upgrade, it seems to be backing up
stuff but who knows what it is doing exactly.
 
> All of this is consistent with a missing FontTools.pth. ttfquery will
> try and load each windows font, but catches all exceptions and
> continues. So you'll get an exception *for each font* the first time
> you load ttfquery if something is wrong with your install. After you
> have fixed fontools, be sure to remove site-packages/font.cache so
> ttfquery can regenerate the font cache.
The font.cache is in site-packages/ttfquery, i presume this is correct?
 
> Agg is a pure image backend - ie, it only produces image output. In
> the next release of matplotlib (this week) there will are 2 GUI
> backends that use agg for rendering GtkAgg and TkAgg, both of which
> are compiled into the windows installer.
Great!
 
Thanks much,
Dominique

* On 2004年3月02日, John Hunter wrote:
>
> >>>>> "Dominique" == Dominique Orban <do...@da...> writes:
> 
> Dominique> I am in Windows 2000 and XP. I am using 0.50e in Linux,
> Dominique> because i am upgrading my gcc. The newer 0.50 won't
> Dominique> compile with the gcc i have now. I only get the 'None
> Dominique> Active' in Linux though. I suspect it comes from my
> Dominique> GTK. I am using KDE and installing Gnome libraries when
> Dominique> i need them. There might be a glitch somewhere.
> 
> Note, you can just set all the BUILD_* flags at the top of setup.py
> and matplotlib won't try and compile anything. It will install all of
> the pre 0.50 modules (GTK, WX, PS, etc) but you won't have access to
> Agg.
Yes i will try that to start with. In the end, i'll want to use Agg
though, given the apparent quality of the plots.
 
> For the record, what gcc were you using and what error message did you
> get? 
gcc version 2.95.3 20010315 (SuSE)
I wanted to try the Intel c++ compiler for Linux, but am not sure how
to tell setup.py which compiler i want to use and with which options.
'python setup.py build' eventually gives
gcc -pthread -fno-strict-aliasing -DNDEBUG -g -O3 -Wall -Wstrict-prototypes -fPIC -Isrc -Iagg2/include -I/usr/include/freetype1 -I/usr/local/include/python2.3 -c src/_backend_agg.cpp -o build/temp.linux-i686-2.3/src/_backend_agg.o
In file included from /usr/local/include/python2.3/Python.h:8,
 from src/_backend_agg.h:40,
 from src/_backend_agg.cpp:8:
 /usr/local/include/python2.3/pyconfig.h:847: warning: `_POSIX_C_SOURCE' redefined
 /usr/include/features.h:171: warning: this is the location of the previous definition
 src/_backend_agg.cpp:286: multiple storage classes in declaration of `RendererAgg_Type'
error: command 'gcc' failed with exit status 1
Many thanks for the help.
Dominique

>>>>> "Dominique" == Dominique Orban <do...@da...> writes:
 Dominique> I am in Windows 2000 and XP. I am using 0.50e in Linux,
 Dominique> because i am upgrading my gcc. The newer 0.50 won't
 Dominique> compile with the gcc i have now. I only get the 'None
 Dominique> Active' in Linux though. I suspect it comes from my
 Dominique> GTK. I am using KDE and installing Gnome libraries when
 Dominique> i need them. There might be a glitch somewhere.
Note, you can just set all the BUILD_* flags at the top of setup.py
and matplotlib won't try and compile anything. It will install all of
the pre 0.50 modules (GTK, WX, PS, etc) but you won't have access to
Agg.
For the record, what gcc were you using and what error message did you
get? 
Thanks,
JDH

>>>>> "Dominique" == Dominique Orban <do...@da...> writes:
 Dominique> Just wanted to signal some path issues with the current
 Dominique> Windows installer. I have looked in the mailing list,
 Dominique> but haven't seen anyone having the same problem.
 Dominique> In both Windows 2000 and XP, installation of Matplotlib
 Dominique> 0.50 results in the following directory hierarchy in my
 Dominique> main Python directory c:\Python23\Lib\site-packages
 Dominique> (Enthought Edition):
 Dominique> FontTools/ fontTools/ sstruct.py ttLib/
Critically, you should also have
c:\Python23\Lib\site-packages\FontTools.pth. I am pretty certain it
is in the windows installer. This file should contain one line, which
reads simply 
FontTools
If you don't have it I would like to know! 
ttfquery and FontTools are packages to enable cross platform
font-finding. I am very interested in factoring out this dependency
since it complicates installation (as you are seeing). [ Perry, if
anyone in your group is still interested in this, there is a
reasonably well documented example in cvs examples/ftface_props.py
that shows how to access all the relevant freetype attributes (family
name, is italics, etc) using the matplotlib.ft2face module ]
 Dominique> it says it cannot import 'fontTools' (lowercase f,
 Dominique> uppercase T). Changing the name of the top directory
 Dominique> (FontTools) to 'fontTools' doesn't solve it of course,
 Dominique> since what it is looking for is the innermost
 Dominique> one. Hence i must move the 'fontTools' directory one
 Dominique> level up. Next, it can import ttLib, scans my TTFPATH,
 Dominique> but breaks down (after litterally one zillion messages)
 Dominique> saying that 'module' has no attribute 'SFNTReader'. It
 Dominique> is in fact trying to import sfnt and is stuck in the
 Dominique> __init__() of Class TTFont. Drastically reducing my
 Dominique> TTFPATH, i see that the error is in fact coming from
 Dominique> the fact that it cannot import module 'sstruct' in
 Dominique> sfnt.py.
All of this is consistent with a missing FontTools.pth. ttfquery will
try and load each windows font, but catches all exceptions and
continues. So you'll get an exception *for each font* the first time
you load ttfquery if something is wrong with your install. After you
have fixed fontools, be sure to remove site-packages/font.cache so
ttfquery can regenerate the font cache.
 Dominique> That stuns me. A 'from fontTools import sstruct' would
 Dominique> do. How comes Python isn't looking recursively into
 Dominique> directories? I guess moving everything to the top level
 Dominique> isn't a good idea. Also, still in sfnt.py, the 'import
 Dominique> struct' works, but i have no clue where it finds this
 Dominique> one; a search was unsuccessful. Anyhow, including
 Dominique> 'c:\Python23\fontTools' into the PYTHONPATH solves it
 Dominique> but i thought directories would be parsed recursively.
 Dominique> Also, can you only use savefig() with the Agg backend?
 Dominique> show() isn't popping any window.
Agg is a pure image backend - ie, it only produces image output. In
the next release of matplotlib (this week) there will are 2 GUI
backends that use agg for rendering GtkAgg and TkAgg, both of which
are compiled into the windows installer.
 Dominique> As they told me to at SuSE, i'm having a lot of fun.
You mean battling the hairy windows beast?
JDH

S=E6l=20
Thanks for the detailed answerS I will try to go one step further for the u=
nclear question.
I hope this will help other users too :)
> - I want to systematically disable the vertical zoom/move on the
> second subplot, but not the first. How can I do that ?
>=20
> Well, when the menu is working properly that is how you do it. By
> "systematically", do you mean by default so it's disabled when the
> plot comes up?
>=20
> If so, this depends on how you are building your GUI window.
> Basically you need to get your hands on the gtk.Toolbar instance,
> which contains an omenu (gtk.OptionMenu) attribute (wait until the
> next release, a couple of days, where I've cleaned this up a bit).
> Eg, if you are using the matlab interface
>=20
> manager =3D get_current_fig_manager()
> items =3D manager.toolbar.omenuItems
> items[-1].set_active(False)
>=20
> Turns off navigation for the last subplot. items[0] would turn off
> navigation for the first subplot, and so on.
Indeed I meant 'by default' and you answered partially my question.
I would like to disable only the veritcal zoom, not the horizontal one.
Is it possible ?
> - How can I activate a tooltip on top of my plots ?
>=20
> You'll have to read up on gtk tooltips. Depends on what elements you
> want to add tips to. Give me a little more info. DO you want to add
> tips to the navigation buttons or lines on your plot or text elements
> or what?
I am aware of tooltips in pygtk, and I would liek to use them on the axes o=
nly.
As I understood those axes are included in a figure which is a DrwaingArea.=
 But DrawingArea do not accept tooltip easily.
Did you implement a workaround to have a tooltip on the axes
> - How could I add a button to directly print out the picture in the too=
lbar ?
>=20
> Print as in to a printer? No support for that yet and am not sure I
> want to go there right now (cross platform printing would might take
> lot of work). Best I can offer you currently is the savefig button.
> I think gnome-print has made a fair amount of progress since I first
> wrote matplotlib so if you want to be on the vanguard and explore this
> option I would be happy.
I used the NavigationToolbar as a GTKToolbar and added a button with the fu=
nction I wanted.
This solved my problem
> - Is there any density plot available ?
>=20
> Do you mean hist?
The histogram provide a similar plot to what I want.
I am currently using it, but when i zoom horizontally I can get very few an=
d large bars.
Therefore I would be interested in a simple curve fitted to pass through al=
l the tops of histograms.
This would make the picture more consistent throughout the zooming
If the curve was filled it would be even better :)
> - I have MANY small plots on my graph. Is there a cost effective way
> to filter which plots to show ?
>=20
> I don't know what this means. Wouldn't you want to show all the plots
> on your figure? Why else would you put them there? Please elaborate.
Within one Sublot I have thousands of small "lines" plotted. This takes tim=
e to draw and show on the screen
Within my software I would like to be able to filter interactively that inf=
ormation according to various criteria to show only few of them
In order to do that cost effectively I was wondering if matplotlib provides=
 an option to show/hide specific "lines" that I could turn on/off
That woudl avoid me to redraw the whole picture after 1 single change
Takk
Kve=F0ja
Jean-Baptiste
--=20
-----------------------------
Jea...@de...
Department of Statistics
deCODE genetics Sturlugata,8
570 2993 101 Reykjav=EDk

Just wanted to signal some path issues with the current
Windows installer. I have looked in the mailing list, but
haven't seen anyone having the same problem.
In both Windows 2000 and XP, installation of Matplotlib 0.50
results in the following directory hierarchy in my main Python
directory c:\Python23\Lib\site-packages (Enthought Edition):
 FontTools/
 fontTools/
 sstruct.py
 ttLib/
When i try to import the Agg backend:
 import matplotlib
 matplotlib.use( 'Agg' )
 from matplotlib.matlab import *
it says it cannot import 'fontTools' (lowercase f, uppercase T).
Changing the name of the top directory (FontTools) to 'fontTools'
doesn't solve it of course, since what it is looking for is the
innermost one. Hence i must move the 'fontTools' directory one
level up. Next, it can import ttLib, scans my TTFPATH, but breaks
down (after litterally one zillion messages) saying that 'module'
has no attribute 'SFNTReader'. It is in fact trying to import
sfnt and is stuck in the __init__() of Class TTFont. Drastically
reducing my TTFPATH, i see that the error is in fact coming from
the fact that it cannot import module 'sstruct' in sfnt.py.
That stuns me. A 'from fontTools import sstruct' would do. How
comes Python isn't looking recursively into directories? I guess
moving everything to the top level isn't a good idea. Also,
still in sfnt.py, the 'import struct' works, but i have no clue
where it finds this one; a search was unsuccessful. Anyhow,
including 'c:\Python23\fontTools' into the PYTHONPATH solves it
but i thought directories would be parsed recursively.
Also, can you only use savefig() with the Agg backend? show()
isn't popping any window.
As they told me to at SuSE, i'm having a lot of fun.
Dominique

* On 2004年3月01日, John Hunter wrote:
> It looks like there is a "print" statement somewhere in your code.
> It's possible that this was from a vestigial debug command I left in.
> I don't get get it on my system. Are you using matplotlib-0.50? I
> also don't get the "None Active" line.
I am in Windows 2000 and XP. I am using 0.50e in Linux, because i am
upgrading my gcc. The newer 0.50 won't compile with the gcc i have now.
I only get the 'None Active' in Linux though. I suspect it comes from
my GTK. I am using KDE and installing Gnome libraries when i need them.
There might be a glitch somewhere.
 
> I'm using this as a test script 
> 
> from matplotlib.matlab import *
> 
> x = 100*rand(100000)
> y = 100*rand(100000)
> s = rand(100000)
> 
> scatter(x,y,s)
> #plot(x,y,'o')
> show()
> 
> Takes about 30s on my system. Note that plot with circles can be must
> faster that scatter if you don't need to vary the size or color of the
> symbols.
I see that plot is usually faster than scatter. The script works fine
with smaller data sets, and takes a pretty long time with larger sets.
 
> There are several areas where matplotlib performance is subpar -
> mostly for large numbers of patches (circles for scatter, rectangles
> for pcolor). Fixing this is a fairly high priority and I have a good
> idea how to go about it - see
> http://sourceforge.net/mailarchive/message.php?msg_id=7142332 for a
> recent discussion. I think in the next 3-4 weeks I can get this
> fixed. Basically, the plan is to set up an additional backend method
> or two that the various backends may optionally implement in extension
> code for performance.
That would be wonderful. I have never looked into the Gnuplot code but
they have a fairly efficient algorithm. Plotting data sets like that i
described takes less than a second on my laptop (from the Python
interface). It would be great if matplotlib could do it too.
 
> Are you using the default GTK that comes with SuSE or did you upgrade?
> I have gotten myself into a world of pain before trying to upgraded
> GTK libs on a linux box. It does look like you are getting some
> unusual behavior. Make sure you are using the latest matplotlib and
> try running the test script I posted above. If you still get the same
> errors, something is whacked with your install or paths. Otherwise,
> stay tuned for performance enhancements coming soon to theaters
> everywhere.
You can be sure i'm staying tuned.
Dominique