matplotlib-users Mailing List for matplotlib (Page 12)

Hello Chris,
> Are you using MPL with wxPython? I'd expect so.
Yes, I am using it with wxPython, and I am sometimes frustrated by the
difficulty to find which method in matplotlib API does something that Pylab
does with another syntax.
> Make sure to check out wxmpl and/or Mplot:
I have checked wxmpl, but it seems to me that it has the same mouse events
as matplotlib has (button down/up/motion) and nothing more. Moreover, both
matplotlib and wxmpl fail to get the mouse_down event if you click very fast
on the figure canvas. I mean, I can click say 30 times in 10 seconds on the
MPL canvas, but only 20 clicks get captured by the event. So it's quite
difficult to hack the single mouse_down event to simulate the double-click
because quite often MPL misses a mouse click...
wxmpl suffers of the same desease, from my tests. So I ended up in a dirty
hack of a MPL single mouse_down to transform it in a double-click, but quite
often I have o click 3/4 times to get the double-click working.
I don't think it's the slowness of my PCs, because they are quite fast.
Thank you very much for your suggestions.
Andrea.
"Imagination Is The Only Weapon In The War Against Reality."
http://xoomer.virgilio.it/infinity77

>>>>> "Christopher" == Christopher Barker <Chr...@no...> writes:
 Christopher> Andrea, Are you using MPL with wxPython? I'd expect
 Christopher> so.
 Christopher> In which case, you can use it embedded, and have wx
 Christopher> do the event handling. I really think that's the way
 Christopher> to go. I'm not sure it's such a good idea for MPL to
 Christopher> wrap GUI functionality, let's not try to build a yet
 Christopher> another GUI toolkit -- that way lies AnyGUI, and that
 Christopher> way lies madness!
and that way underlies the matplotlib toolbar, and matplotlib code
that you can share with others and have others contribute to!
Madness? Yes, but just crazy enough that it might work :-)
JDH

Chris,
Christopher Mutel wrote:
> ImportError: liblapack.so.2: cannot open shared object file: No such
> file or directory
All the lapack stuff is linked to what you are using for Numerix: 
Numeric, numarray or NumPy, rather than directly by MPL. It looks like 
you may have upgraded your atlas install, and not upgraded your numerix 
package with it. Or you're installed a Numerix binary package that 
depends on an older lapack.
Your kludge may only be working because you haven't actually called any 
lapack functions yet, it's not used by the basic numerix stuff, only 
linear algebra stuff.
Anyway, I'd decide what Numerix package you want to use, and then make 
sure that's installed correctly.
-Chris
-- 
Christopher Barker, Ph.D.
Oceanographer
 		
NOAA/OR&R/HAZMAT (206) 526-6959 voice
7600 Sand Point Way NE (206) 526-6329 fax
Seattle, WA 98115 (206) 526-6317 main reception
Chr...@no...

Andrea,
Are you using MPL with wxPython? I'd expect so.
In which case, you can use it embedded, and have wx do the event 
handling. I really think that's the way to go. I'm not sure it's such a 
good idea for MPL to wrap GUI functionality, let's not try to build a 
yet another GUI toolkit -- that way lies AnyGUI, and that way lies madness!
Make sure to check out wxmpl and/or Mplot:
http://agni.phys.iit.edu/~kmcivor/wxmpl/
http://cars9.uchicago.edu/~newville/Python/MPlot/
By the way, unifying those two packages would be a great wxPython/MPL 
project, if you're looking for a new one!
-Chris
-- 
Christopher Barker, Ph.D.
Oceanographer
 		
NOAA/OR&R/HAZMAT (206) 526-6959 voice
7600 Sand Point Way NE (206) 526-6329 fax
Seattle, WA 98115 (206) 526-6317 main reception
Chr...@no...

Eric Firing wrote:
> rcParams['xtick.direction'] = 'out'
> rcParams['ytick.direction'] = 'out'
Not that I need this at the moment, but can you have them be both in and 
out?
-Chris
-- 
Christopher Barker, Ph.D.
Oceanographer
 		
NOAA/OR&R/HAZMAT (206) 526-6959 voice
7600 Sand Point Way NE (206) 526-6329 fax
Seattle, WA 98115 (206) 526-6317 main reception
Chr...@no...

On Feb 6, 2006, at 8:57 AM, Elderly Geek wrote:
> Hi,
>
> This is more of a numarray issue, but also relevant here I hope. I
> wonder how you sort a numarray.array descending? I know
> numarray.sort(array) sort ascending.
>
> thx
>
>
> -------------------------------------------------------
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>
There is a special mailing list for this sort of question=20
(num...@li...). There are a number of ways=20
one can do this but why not either reverse the sorted array (or the=20
sorted indices) by using strides, e.g., get the sorted array and then=20
refer to it as sarr[::-1]?
Perry Greenfield=

"numarray.sort(array)[-1::-1]" should work for reversing the list fairly fa=
st.
That indexing btw means start at the last item, and use a stride of -1.
On 2/6/06, Elderly Geek <ep...@gm...> wrote:
> Hi,
>
> This is more of a numarray issue, but also relevant here I hope. I
> wonder how you sort a numarray.array descending? I know
> numarray.sort(array) sort ascending.
>
> thx
>
>
> -------------------------------------------------------
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les
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> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Hi,
This is more of a numarray issue, but also relevant here I hope. I
wonder how you sort a numarray.array descending? I know
numarray.sort(array) sort ascending.
thx

Hello NG,
 I am probably missing something here, so sorry for the possible stupid
question. I have tried to use axes legend to create a legend on my plot, but
this doesn't work very well if I have 2 y-axis (as in two_scales.py demo),
because the legend is created as:
MyLeftAxis.legend()
And it doesn't see the properties plotted on the second axis. If I do:
MyRightAxis.legend()
I get 2 different legends, which I don't like very much. So I tried to use
figlegend, using MyFigure.legend(MyLines, MyLabel, Location), but I am
having 2 problems:
1) The use may decide to hide/show the legend as he/she wants, and for this
I am using legend.set_visible(), and it works almost smoothly;
2) I don't know how to update the legend as new plots are added to the
figure;
3) I don't know if there is a way to destroy a legend - completely delete it
from the figure.
Thank you very much for every hint.
Andrea.
"Imagination Is The Only Weapon In The War Against Reality."
http://xoomer.virgilio.it/infinity77

Hello John,
On Sun, Jan 29, 2006 at 10:58:50AM -0600, John Hunter wrote:
> Yes, that is annoying. I just made some changes to CVS to fix it. The
> root of the problem is that Agg does subpixel rendering. I have some
> hacks now to make it work right for grid lines, ...
Sorry for the delay. I tried it now and it does NOT work :-(
The diagram on the web page is now generated with the current
CVS version of matplotlib, but the problem still persists.
I uncommented the
 std::cout << "snapto "<<thisx<<" "<<thisy<<std::endl;
line in _backend_agg.cpp and found that this bit of code is only
called 142 times, which is significantly less than the number of
grid line fragments.
I tried to change (in RendererAgg::draw_lines) the test
 snapto =3D (x0=3D=3Dx1) || (y0=3D=3Dy1);
(looked dangerous to me, these are doubles) into
 snapto =3D fabs(x0-x1)<1e-6 || fabs(y0-y1)<1e-6 ;
but this did not help.
Any more ideas?
Many thanks,
Jochen
--=20
http://seehuhn.de/

Tom Denniston <tom...@al...> writes:
> Is there any easy way to make an area chart like the one attached in
> matplotlib without manually manipulating polygons?
Here's a snippet that makes a plot like that (but I haven't figured
out how to create the legend). To test it in ipython -pylab, type
something like
figure()
plot_cumulative(gca(), arange(20), rand(20,20))
show()
Perhaps a more refined version of this would be a useful addition to
matplotlib?
import Numeric as N
import matplotlib
# Colors from http://geography.uoregon.edu/datagraphics/color_scales.htm
colors = [
 [1.000, 0.500, 0.000],
 [1.000, 0.750, 0.500],
 [1.000, 1.000, 0.200],
 [1.000, 1.000, 0.600],
 [0.200, 1.000, 0.000],
 [0.700, 1.000, 0.550],
 [0.100, 0.700, 1.000],
 [0.650, 0.930, 1.000],
 [0.400, 0.300, 1.000],
 [0.800, 0.750, 1.000],
 [0.900, 0.100, 0.200],
 [1.000, 0.600, 0.750],
]
def plot_cumulative(ax, x, array):
 x, array = N.asarray(x), N.asarray(array)
 # Change e.g. array=[[1,2,3],[4,5,6]] to cs=[[0,0,0],[1,2,3],[5,7,9]]]
 cs = N.concatenate((N.zeros((1,len(x))), N.cumsum(array)))
 # Change e.g. x=[1,2,3] to xx=[1,2,3,3,2,1]
 xx = N.concatenate((x, x[::-1]))
 for i in range(0, N.size(cs,0)-1):
 # Define y coordinates of polygon as cs[i,:] and cs[i+1,:]
 yy = N.concatenate((cs[i,:], cs[i+1,::-1]))
 c = colors[i % len(colors)]
 ax.fill(xx, yy, facecolor=c)
-- 
Jouni

I did a fresh install on a new computer this week, and installed JDH's
Ubuntu packages from uchicago, and got the following error upon "from
pylab import *":
 File "/usr/lib/python2.4/site-packages/numpy/linalg/__init__.py",
line 4, in ? from linalg import *
 File "/home/jdhunter/debs/numpy/usr/lib/python2.4/site-packages/numpy/lin=
alg/linalg.py",
line 16, in ?
ImportError: liblapack.so.2: cannot open shared object file: No such
file or directory
I do, however, have liblapack.so.3 available in /usr/lib. I tried
uninstalling and installing python-matplotlib-jdh and python-scipy
(because that had solved a different installation problem before) in
different orders, but no luck. So, I symlinked liblapack.so.3 to
liblapack.so.2, and then had to do the same to:
libatlas.so.3
libcblas.so.3
libf77blas.so.3
And "from pylab import *" works fine, and plotting seems to work fine.
However, it seems like unless version three of these libraries are
100% compatible, that this is problematic.
This is on a fresh install, and I'm not smart enough to figure out
anything else substantive, but wanted to let Matplotlib
maintainers/etc. know.
-Chris

I'd guess you'll want to plot against times converted using 
the datetime module
http://ftp.python.org/doc/lib/datetime-time.html
and then place your time strings as ticks.
Cheers,
Alan Isaac

I have used the plot function before to plot points for over a year lets 
say, now I have to write something that makes a plot with the current 
time of the day on the x-axis. The data I am getting is all in military 
time, so it starts at 0700 and ends at 2200. The data points are all in 
15 minute increments, so it goes 0700, 0715, 0730, 0745 etc.
I am having trouble using the multiple locator in this case. I can't 
simply use 15, there would be a created gap in the graph. For example, 
if I do a bar graph with bar(), i would see my data points and then big 
gaps.
So my question is, how can I have my X axis go in 15 minute increments 
stopping at 59? ie, minutes in an hour only go from 0 to 59? I would 
like to make a bar graph with 15 minute intervals, and also a plot graph 
with 15 minute intervals.
Thanks much,
mohan

Pavol Severa wrote:
> Hello
> 
> I'd like to ask you how to make the ticks on the axes to protrude out
> of the picture (I have a picture with some dark areas where the ticks
> are virtually invisible; if the ticks were at least partially outside,
> it would solve the problem).
Pavol,
In your matplotlibrc file you can set the tick direction:
...
xtick.direction : in # direction: in or out
...
ytick.direction : in # direction: in or out
...
Alternatively, interactively or within a script you can use:
rcParams['xtick.direction'] = 'out'
rcParams['ytick.direction'] = 'out'
Eric

I would like to create an animation that shows the path of a vehicle 
moving
along a trajectory. The vehicle could be represented by a small 
circle with and arrow
pointing along the vehicle's current heading. It would be nice to 
leave a bread crumb trail
of the vehicles path as a line.
I found documentation on making animations and movies but plotting a 
sequence of plots.
But I am not sure how I create or plot the circle plus arrow and then 
move it for the next plot.
(unless I just replot the whole plot everyframe) The Animation 
cookbook apparently provides
some hints but I am a little lost as to where to begin.
Do I need to create an artist? or a cursor?
I am using WxAgg on Mac Os X 10.4.4 although I could use another OS X 
supported backend if
it would be easier than WXAgg.
Any hints or a get started example
Sam

Darrel,
I this other thread you mention recent changes to the tex font 
handling. I am assuming that these are not in the 0.86.2 distribution?
Is this related to my poor resolution problem?
> I made some improvements to the usetex option over the last few 
> days in order
> to make font selection fit seemlessly with the rest of Matplotlib. 
> The usetex
> option will now respect the serif, sans-serif, monospace, and 
> cursive rc
> settings. Usetex looks until it finds a latex-compatible font, or 
> defaults to
> computer modern. Proper font support with plainTeX is more 
> difficult, and
> everyone seems to use the latex backend anyway, so I am dropping 
> support of
> the tex engine. With these changes, the font.latex.package and the
> text.tex.engine rc settings are no longer needed, and should be 
> removed from
> ones personal matplotlibrc file.

Hello NG,
I am having a couple of problems with Matplotlib embedded in wxPython; both
are related to the Pylab twinx() function and its corresponding Matplotlib
API call.
Problem 1:
Using the following script:
----------------------------------------------
#!/usr/bin/env python
from pylab import *
ax1 = subplot(111)
t = arange(0.01, 10.0, 0.01)
s2 = sin(2*pi*t)
plot(t, s2, 'r.')
ylabel('sin')
# turn off the 2nd axes rectangle with twinx()
ax2 = twinx()
s1 = exp(t)
plot(t, s1, 'b-')
xlabel('time (s)')
ylabel('exp')
show()
----------------------------------------------
Everything works fine but the exponential factor for which the right axis
scale is multiplied ("x1e4") is positioned on the left axis, which is
clearly misleading.
Problem 2:
Using the corresponding Matplotlib API calls to use twinx() embedded in
wxPython, the same problem as above appears *and* the ylabel for the right
axis is positioned on the left axis instead: so I end up with 2 ylabels on
the same axis. The script I am running is this one:
----------------------------------------------
#!/usr/bin/env python
import wx
import matplotlib
matplotlib.use('WXAgg')
from matplotlib.backends.backend_wxagg import \
 FigureCanvasWxAgg as FigureCanvas
from matplotlib.figure import Figure
from matplotlib.numerix import arange, sin, exp, pi
# wxPython part
app = wx.PySimpleApp()
frame = wx.Frame(None, -1, "MPL Test", (400, 400))
fig = Figure()
canvas = FigureCanvas(frame, -1, fig)
sizer = wx.BoxSizer(wx.VERTICAL)
sizer.Add(canvas, 1, wx.LEFT|wx.TOP|wx.GROW)
frame.SetSizer(sizer)
sizer.Layout()
# Plotting part: Left Axis
leftaxis = fig.add_subplot(111)
leftaxis.yaxis.tick_left()
t = arange(0.01, 10.0, 0.01)
s2 = sin(2*pi*t)
leftaxis.plot(t, s2, 'r.')
leftaxis.set_ylabel('sin')
# Plotting part: Left Axis
rightaxis = fig.add_subplot(111, frameon=False)
rightaxis.yaxis.tick_right()
s1 = exp(t)
rightaxis.plot(t, s1, 'b-')
rightaxis.set_xlabel('time (s)')
rightaxis.set_ylabel('exp')
# wxPython starts
frame.CenterOnScreen()
frame.Show()
app.MainLoop()
----------------------------------------------
If that matters, I am using Matplotlib 0.86.2 on Windows XP/2000, Python
2.4.1, wxPython 2.6.2.1.
Thanks in advance for every hint.
Andrea.
"Imagination Is The Only Weapon In The War Against Reality."
http://xoomer.virgilio.it/infinity77

On 03 Feb, 2006, at 16:43, Darren Dale wrote:
> Try setting your ps.distiller.res rc setting to 6000. Does that 
> help? If so,
> let me know and I will make a comment on the wiki.
These are my ps backend settings
I tried False, Ghostscript, and xpdf for the ps.usedistiller but no 
change in the onscreen output
in every case ps.distiller.res was set to 6000
# ps backend params
ps.papersize : letter # executive, letter, legal, ledger, A0- 
A10, B0-B6, C0-C6
ps.useafm : False # use of afm fonts -- breaks mathtext 
but results in small files
ps.usedistiller : xpdf # can be: None, ghostscript or xpdf
 # Experimental: may 
produce smaller files.
 # xpdf intended for 
production of publication quality files,
 # but requires 
ghostscript, xpdf and ps2eps
ps.distiller.res : 6000 # dpi
I set verbose level to debug.
Here is the console output when I run the tex demo.
It seems that it is not using a tex font on screen even though usetex 
is true. It appears to use a tex font in the eps file
I get this output
numerix numpy 0.9.5.2006
font search path ['/Library/Frameworks/Python.framework/Versions/2.4/ 
lib/python2.4/site-packages/matplotlib-0.86.2cvs-py2.4-macosx-10.4- 
ppc.egg/matplotlib/mpl-data']
trying fontname /Library/Frameworks/Python.framework/Versions/2.4/lib/ 
python2.4/site-packages/matplotlib-0.86.2cvs-py2.4-macosx-10.4- 
ppc.egg/matplotlib/mpl-data/Vera.ttf
$HOME=/Users/smithsm
CONFIGDIR=/Users/smithsm/.matplotlib
loaded ttfcache file /Users/smithsm/.matplotlib/ttffont.cache
matplotlib data path /Library/Frameworks/Python.framework/Versions/ 
2.4/lib/python2.4/site-packages/matplotlib-0.86.2cvs-py2.4- 
macosx-10.4-ppc.egg/matplotlib/mpl-data
backend WXAgg version 2.6.2.1
 findfont failed New Century Schoolbook
 findfont failed Century Schoolbook L
 findfont failed Utopia
 findfont failed ITC Bookman
 findfont failed Bookman
 findfont found Bitstream Vera Serif, normal, normal 500, 
normal, 16.0
findfont returning /Library/Frameworks/Python.framework/Versions/2.4/ 
lib/python2.4/site-packages/matplotlib-0.86.2cvs-py2.4-macosx-10.4- 
ppc.egg/matplotlib/mpl-data/VeraSe.ttf
 findfont failed New Century Schoolbook
 findfont failed Century Schoolbook L
 findfont failed Utopia
 findfont failed ITC Bookman
 findfont failed Bookman
 findfont found Bitstream Vera Serif, normal, normal 500, 
normal, 12.0
findfont returning /Library/Frameworks/Python.framework/Versions/2.4/ 
lib/python2.4/site-packages/matplotlib-0.86.2cvs-py2.4-macosx-10.4- 
ppc.egg/matplotlib/mpl-data/VeraSe.ttf
This is dvips(k) 5.95b Copyright 2005 Radical Eye Software 
(www.radicaleye.com)
' TeX output 2006年02月03日:1330' -> /tmp/ 
1d2e640b7c7d6320cb57dd91740b0da8.ps
<tex.pro><psfrag.pro><texps.pro><special.pro><color.pro>. <cmti10.pfb>
<cmbx10.pfb><cmmi10.pfb><cmsy10.pfb><cmr8.pfb><cmmi8.pfb><cmex10.pfb>
<cmsy8.pfb><cmr10.pfb>[1<1d2e640b7c7d6320cb57dd91740b0da8.eps>]
here is a pdf of the eps file

Hello
I'd like to ask you how to make the ticks on the axes to protrude out
of the picture (I have a picture with some dark areas where the ticks
are virtually invisible; if the ticks were at least partially outside,
it would solve the problem).

Hello NG,
 I was surfing over the matplotlib classes API, and I didn't find
anything about a way to connect an event like a mouse left double-click. Is
this actually possible? If this is not, is there a way to hack the
button_press_event handler in a way to discard the first click (maybe based
on a time.time() call?) and take only the second click if, say, less than 1
second is gone after the first click?
Thanks in advance for every idea.
Andrea.
"Imagination Is The Only Weapon In The War Against Reality."
http://xoomer.virgilio.it/infinity77

Try setting your ps.distiller.res rc setting to 6000. Does that help? If so, 
let me know and I will make a comment on the wiki.
Darren
On Friday 03 February 2006 18:25, Samuel M. Smith wrote:
> I just upgraded my Matplotlib to 0.86.2. The display of text using latex
> has really poor resolution. This was not the case with 0.83. Anyone know
> what Is the problem. The saved .eps files when converted to pdf have
> good
> resolution.
>
> I am using Mac OS X 10.4.4
> I have latex installed with
> ghostscript 8.51
> dvips(k) 5.95b
> numpy 0.9.5
> WXAgg
> wxwindows 2.6.2.1
>
> the following relevant rc settings
>
> font.latex.package : type1cm
> text.usetex : True #
> text.tex.engine : latex
>
> figure.dpi : 100
> savefig.dpi : 100
>
> changing the dpi just makes the window bigger with still poor rendering.
>
> when I run the example cookbook
> http://new.scipy.org/Wiki/Cookbook/Matplotlib/UsingTex
>
> I get the following on screen display
-- 
Darren S. Dale, Ph.D.
Cornell High Energy Synchrotron Source
Cornell University
200L Wilson Lab
Rt. 366 & Pine Tree Road
Ithaca, NY 14853
dd...@co...
office: (607) 255-9894
fax: (607) 255-9001

I just upgraded my Matplotlib to 0.86.2. The display of text using latex
has really poor resolution. This was not the case with 0.83. Anyone know
what Is the problem. The saved .eps files when converted to pdf have 
good
resolution.
I am using Mac OS X 10.4.4
I have latex installed with
ghostscript 8.51
dvips(k) 5.95b
numpy 0.9.5
WXAgg
wxwindows 2.6.2.1
the following relevant rc settings
font.latex.package : type1cm
text.usetex : True #
text.tex.engine : latex
figure.dpi : 100
savefig.dpi : 100
changing the dpi just makes the window bigger with still poor rendering.
when I run the example cookbook
http://new.scipy.org/Wiki/Cookbook/Matplotlib/UsingTex
I get the following on screen display

>>>>> "Brian" == Brian Granger <bgr...@sc...> writes:
 Brian> The odd thing is that I have an earlier build of matplotlib
 Brian> (maybe a week ago) on my laptop and it runs fine. It also
 Brian> has this same code in _transforms.cpp. That makes me think
 Brian> it is an install problem.
 Brian> Any thoughts?
Hey Brian, 
You need _transforms.cpp revision 1.46. This was a bug I introducted
into CVS last night and it is now fixed.
JDH

Hello,
Last night I installed matplotlib from CVS on Mac OS X (python 
2.4.1). I am using numpy from svn and have installed the 
dependencies (zlib, libpng, freetype, wxPython). I don't have 
Numeric or numarray installed on this machine.
Everything builds fine, but when I run ipython -pylab and do plot 
((1,2,3)) I the following:
/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site- 
packages/matplotlib/axes.py in __init__(self, fig, *args, **kwargs)
 4127 def __init__(self, fig, *args, **kwargs):
 4128 SubplotBase.__init__(self, fig, *args)
-> 4129 Axes.__init__(self, fig, [self.figLeft, self.figBottom,
 4130 self.figW, self.figH], 
**kwargs)
 4131
/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site- 
packages/matplotlib/axes.py in __init__(self, fig, rect, axisbg, 
frameon, sharex, sharey, label, **kwargs)
 367 self._hold = rcParams['axes.hold']
 368 self._connected = {} # a dict from events to (id, func)
--> 369 self.cla()
 370
 371 # funcs used to format x and y - fall back on major 
formatters
/Library/Frameworks/Python.framework/Versions/2.4/lib/python2.4/site- 
packages/matplotlib/axes.py in cla(self)
 664 self.yaxis.cla()
 665
--> 666 self.dataLim.ignore(1)
 667 if self._sharex is not None:
 668 self.xaxis.major = self._sharex.xaxis.major
IndexError: tuple index out of range
I think the code being called in the ignore() method is in 
_transforms.cpp:
Py::Object
Bbox::ignore(const Py::Tuple &args) {
 _VERBOSE("Bbox::ignore");
 args.verify_length(1);
 _ignore = Py::Int(args[1]);
 return Py::Object();
}
If the length of the tuple is 1, should it read:
 _ignore = Py::Int(args[0]);
Or does the Py::Tuple class index tuples beginning with 1?
The odd thing is that I have an earlier build of matplotlib (maybe a 
week ago) on my laptop and it runs fine. It also has this same code 
in _transforms.cpp. That makes me think it is an install problem.
Any thoughts?
Brian