Re: [Matplotlib-users] markeredgewidth and pdf
Christopher Brown wrote: Hi Mike, MD It's worth noting -- these viewer differences do pop up from time to MD time. Since I don't have Foxit (or Windows) installed, I wonder if MD you could run an experiment. If you generate the PDF with mpl's MD Cairo backend, do you see the same behavior? If not, we can MD analyse the differences in the PDFs and possibly come up with a MD solution that will work. I'm having real difficulty getting the cairo backend installed. If anyone has any experience with pkg-config and windows, please let me know. Specifically, I get the error: Package 'cairo was not found in the pkg-config search path. Perhaps you should add the directory containing `'cairo.pc' to the PKG_CONFIG_PATH environment variable ...although I have, in fact, created this environment variable in windows. I can't be of much help with Windows builds, unfortunately. However, for clarification, is this error from building pycairo or matplotlib? matplotlib *should* be able to bypass pkg-config if it isn't available. Anyway, I have created a pdf using the wxagg backend, which yields the same result (markeredgewidth is always 1 when viewing with foxit). That uses the same PDF code path, so not surprising. I will create a figure tonight from home (kubuntu) using the cairo backend, then examine it tomorrow at work (windows/foxit) and report back. Sounds like a good experiment. Thanks for helping out. Cheers, Mike -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] bug in qtagg backend when blitting
On Monday 05 May 2008 09:24:42 pm G Jones wrote: Hello, Attached is a script that when run from ipython --pylab with your backend setup for 'QtAgg' reproduces a bug I am seeing. If you run the plot, you'll see a line plotted in blue as expected. Then when the same figure is updated by blitting, the line turns red. I tried this with green and it stayed green, but yellow went to cyan. It seems that the byteswapping that is necessary for displaying colors correctly in Qt is happening during a normal plot, but not when blitting. I tried going through the code to determine the problem, I can only guess that it lies somewhere in the FigureCanvasQTAgg.paintEvent, since that's where I see to_ARGB etc. Sorry I couldn't locate the bug precisely, I find it very difficult to thread my way through all the backend classes. I did track down the source of the bug a while back: http://sourceforge.net/mailarchive/message.php?msg_id=200803121528.30565.darren.dale%40cornell.edu Mike D. suggested that BufferRegion might need a byte-swapped version of to_string(), but unfortunately I am not an experienced c programmer and am short of time to try to work my way through it right now. I added a bug report at SF. Darren - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] bug in qtagg backend when blitting
I'll go ahead and fix this. It just fell through the cracks. Mike Darren Dale wrote: On Monday 05 May 2008 09:24:42 pm G Jones wrote: Hello, Attached is a script that when run from ipython --pylab with your backend setup for 'QtAgg' reproduces a bug I am seeing. If you run the plot, you'll see a line plotted in blue as expected. Then when the same figure is updated by blitting, the line turns red. I tried this with green and it stayed green, but yellow went to cyan. It seems that the byteswapping that is necessary for displaying colors correctly in Qt is happening during a normal plot, but not when blitting. I tried going through the code to determine the problem, I can only guess that it lies somewhere in the FigureCanvasQTAgg.paintEvent, since that's where I see to_ARGB etc. Sorry I couldn't locate the bug precisely, I find it very difficult to thread my way through all the backend classes. I did track down the source of the bug a while back: http://sourceforge.net/mailarchive/message.php?msg_id=200803121528.30565.darren.dale%40cornell.edu Mike D. suggested that BufferRegion might need a byte-swapped version of to_string(), but unfortunately I am not an experienced c programmer and am short of time to try to work my way through it right now. I added a bug report at SF. Darren - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] minor ticks
On Tue, May 6, 2008 at 9:33 AM, Fabrice Silva [EMAIL PROTECTED] wrote: Contrary to what the on-line doc says, the set_xticks method of an axes instance does not have the 'minor' keyword argument... S1.set_xticks(Xticksm, minor=True) TypeError: set_xticks() got an unexpected keyword argument 'minor' __version__ = '0.90.1' __revision__ = '$Revision: $' __date__ = '$Date: 2007-05-31 09:52:25 -0400 (Thu, 31 May 2007) $' This works for me -- I wonder if your version is out of date. 0.90.1 is pretty old In [7]: ax.set_xticks([1.1,1.2,1.3], minor=True) Out[7]: [matplotlib.axis.XTick instance at 0x817418c, matplotlib.axis.XTick instance at 0x8f318ec, matplotlib.axis.XTick instance at 0x8f319cc] In [8]: draw() In [9]: matplotlib.__version__ Out[9]: '0.91.2svn' JDH - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] bug in qtagg backend when blitting
This is now implemented on the branch and the trunk. Please let me know how it works for you. I'm particularly interested in non-Linux and Big Endian platforms (e.g. PPC) as a sanity check. Cheers, Mike Michael Droettboom wrote: I'll go ahead and fix this. It just fell through the cracks. Mike Darren Dale wrote: On Monday 05 May 2008 09:24:42 pm G Jones wrote: Hello, Attached is a script that when run from ipython --pylab with your backend setup for 'QtAgg' reproduces a bug I am seeing. If you run the plot, you'll see a line plotted in blue as expected. Then when the same figure is updated by blitting, the line turns red. I tried this with green and it stayed green, but yellow went to cyan. It seems that the byteswapping that is necessary for displaying colors correctly in Qt is happening during a normal plot, but not when blitting. I tried going through the code to determine the problem, I can only guess that it lies somewhere in the FigureCanvasQTAgg.paintEvent, since that's where I see to_ARGB etc. Sorry I couldn't locate the bug precisely, I find it very difficult to thread my way through all the backend classes. I did track down the source of the bug a while back: http://sourceforge.net/mailarchive/message.php?msg_id=200803121528.30565.darren.dale%40cornell.edu Mike D. suggested that BufferRegion might need a byte-swapped version of to_string(), but unfortunately I am not an experienced c programmer and am short of time to try to work my way through it right now. I added a bug report at SF. Darren - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] markeredgewidth and pdf
Hi Michael, MD I can't be of much help with Windows builds, unfortunately. MD However, for clarification, is this error from building pycairo or MD matplotlib? matplotlib *should* be able to bypass pkg-config if it MD isn't available. The error occurred while building pycairo. MD will create a figure tonight from home (kubuntu) using the cairo MD backend, then examine it tomorrow at work (windows/foxit) and MD report back. MD MD Sounds like a good experiment. Thanks for helping out. With a plot made using the cairo backend, the markers render correctly in foxit. I am standing by for further instruction. :) By the way, I'm using mpl from svn. -- Chris - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] minorLocator
Hi all, How is it possible to display by default the minor ticks with an interval 5 times smaller than the major ticks. I can do that for a known range of data : for example : ax = pt.gca() ax.xaxis.set_major_locator(MultipleLocator(10)) ax.xaxis.set_minor_locator(MultipleLocator(10/5.)) but I would like to have the major still set by default, i.e. : ax.xaxis.set_major_locator(AutoLocator()) and now the minor automatically set to 1/5. of the value used for the major. How can I do that ? Thanks for your help, yves -- (o o) oOO--(_)--OOo--- Yves Revaz Laboratory of Astrophysics EPFL Observatoire de Sauverny Tel : ++ 41 22 379 24 28 51. Ch. des Maillettes Fax : ++ 41 22 379 22 05 1290 Sauverny e-mail : [EMAIL PROTECTED] SWITZERLAND Web : http://www.lunix.ch/revaz/ - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Canvas coordinates vs. Plot coordinates
Dear Group,
What I need to do is to
1. produce a plot (DONE)
2. fix it so that mouse clicks in the canvas append the x coordinate of the
click to a list (DONE)
3. add a couple of buttons to the GUI, to reset the list and to kill the
window (DONE)
So I'm pretty successful so far. The only problem is that the coordinates
are in canvas coordinates, not plot coordinates. Now, rather embarrassingly,
I can't figure out how to get this right. It seems to be the case that all
the examples are in plot coordinates. As of course is the readout in the
GUI itself. Is there a simple way to fix this or do I have convert it to
some other backend? Or use something else instead of FigureCanvasGTK? This,
to me, made the most sense to me at the time of writing, although I must
confess I'm still pretty new to this.
I paste some stripped down code below.
Thanks in advance,
Matthew
#!/usr/bin/env python
import sys, os, string
import scipy as S
pygtk.require('2.0')
import gtk
#MPL.use('GTKAgg')
import pylab as P
from matplotlib.backends.backend_gtk import FigureCanvasGTK as FigureCanvas
from matplotlib.backends.backend_gtk import NavigationToolbar2GTK as
NavigationToolbar
class Stuff:
def reset(self, widget, data=None):
self.ranges= S.array([])
print self.ranges
def delete_event(self, widget, event, data=None):
print delete event occurred
return False
def destroy(self, widget, data=None):
gtk.main_quit()
def clickCanvas(self, widget, event):
if event.button==1:
self.ranges = S.append(self.ranges , event.x)
print self.ranges
def ZoneSetup(self):
x=S.rand(10)
y=S.rand(10)
win = gtk.Window()
win.connect(delete_event, self.delete_event)
win.connect(destroy, self.destroy)
win.set_default_size(600,450)
vbox = gtk.VBox()
hbox = gtk.HBox()
win.add(vbox)
fig = P.Figure(figsize=(5,4), dpi=100)
ax = fig.add_subplot(111)
ax.plot(x, y, c='red', ls='-')
canvas = FigureCanvas(fig)
vbox.pack_start(canvas)
toolbar = NavigationToolbar(canvas, win)
hbox.pack_start(toolbar)
bReset = gtk.Button(Reset)
bQuit = gtk.Button(Quit)
hbox.pack_start(bReset, False, False, 0)
hbox.pack_start(bQuit, False, False, 0)
vbox.pack_start(hbox, False, False)
bReset.connect (clicked, self.reset)
bQuit.connect_object(clicked, gtk.Widget.destroy, win)
canvas.connect(button_press_event, self.clickCanvas)
win.show_all()
gtk.main()
def __init__(self):
self.ranges= S.array([])
a=Stuff()
a.ZoneSetup()
print a.ranges
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[Matplotlib-users] errorbar plot caps
Hi mpl users, I have noticed that when making a figure using the errorbar function, a cap line will show up over a marker if they happen to fall on top of one another. The line connecting the caps is (properly) hidden under the marker. This behavior only occurs if the overlapping marker was placed on the plot before the overlapping errorbar. The following code demonstrates the problem: errorbar([1,2,3],[3,3,3],color='black',mfc='white',marker='s',ms=14) errorbar([1,2,3],[2,2,2],[1,1,1],color='black') ylim(0,4) -- Chris - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] markeredgewidth and pdf
In matplotlib's Python PDF backend, each marker type is stored in an XObject (a reusable object) only once, and referenced to draw each to the screen. The Cairo backend does not have this optimization and draws each marker independently. It would seem that Foxit does not use the current graphics context (pen width etc.) when referencing XObjects. The PDF Spec (version 1.7) has this to say (emphasis mine): A form XObject is a PDF content stream that is a self-contained description of any sequence of graphics objects (including path objects, text objects, and sampled images). A form XObject may be painted multiple times—either on several pages or at several locations on the same page—and produces the same results each time, /subject only to the graphics state at the time it is invoked/. Not only is this shared definition economical to represent in the PDF file, but under suitable circumstances the PDF consumer application can optimize execution by caching the results of rendering the form XObject for repeated reuse. So --- this would appear to be a bug in Foxit. Perhaps you could submit this problematic PDF to them. We could fairly easily provide a workaround by not doing this optimization (I've attached a PDF so you can verify that it solves the Foxit issue). But it is an important optimization when there are hundreds of markers in a plot. We could make this user-configurable, but I'm wary of adding more config parameters without really good reasons -- many user issues on this list come down to someone using a particular configuration that a developer neglected to test with. What do others here think? Cheers, Mike Christopher Brown wrote: Hi Michael, MD I can't be of much help with Windows builds, unfortunately. MD However, for clarification, is this error from building pycairo or MD matplotlib? matplotlib *should* be able to bypass pkg-config if it MD isn't available. The error occurred while building pycairo. MD will create a figure tonight from home (kubuntu) using the cairo MD backend, then examine it tomorrow at work (windows/foxit) and MD report back. MD MD Sounds like a good experiment. Thanks for helping out. With a plot made using the cairo backend, the markers render correctly in foxit. I am standing by for further instruction. :) By the way, I'm using mpl from svn. -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA test3.pdf Description: Adobe PDF document - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] errorbar plot caps
That's a good one! Here's what I see happening: By default (without manually specifying zorder), all Collections are drawn before all Lines. In an errorbar, the data itself and the caps are both drawn using Lines, but the errorbar is drawn using a LineCollection. So what you're seeing is a strange interleaving of different parts of the errorbar plot. By forcing zorder on these things, you can get the artists associated with each errorbar call to render together in the overall ordering -- errorbar([1,2,3],[3,3,3],color='black',mfc='white',marker='s',ms=14,zorder=10) errorbar([1,2,3],[2,2,2],[1,1,1],color='black',zorder=20) Unfortunately, it's a messy, non-obvious workaround. IMHO, the way the default zorder works is probably due for an overhaul, but it's a pretty core thing to be messing with and risks breaking a lot of existing plots. For example, I've never quite understood why all collections are drawn before all lines (and exist in separate artist lists), rather than just interleaving them as they are added to the plot. But I wasn't around to see that develop, so I may just misunderstand. And I don't really have the time to do this now, so I should probably keep quiet ;) Cheers, Mike Christopher Brown wrote: Hi mpl users, I have noticed that when making a figure using the errorbar function, a cap line will show up over a marker if they happen to fall on top of one another. The line connecting the caps is (properly) hidden under the marker. This behavior only occurs if the overlapping marker was placed on the plot before the overlapping errorbar. The following code demonstrates the problem: errorbar([1,2,3],[3,3,3],color='black',mfc='white',marker='s',ms=14) errorbar([1,2,3],[2,2,2],[1,1,1],color='black') ylim(0,4) -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] Drawing shapes outside the plot area
I would like to be able to draw a triangle on the graph outside the axes and plot area. I have used fill before, but that was in the plot area. Can someone push me in the right direction? -- The game of science can accurately be described as a never-ending insult to human intelligence. - João Magueijo - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Canvas coordinates vs. Plot coordinates
On Tue, May 6, 2008 at 11:17 AM, Matthew Czesarski
[EMAIL PROTECTED] wrote:
So I'm pretty successful so far. The only problem is that the coordinates
are in canvas coordinates, not plot coordinates. Now, rather embarrassingly,
I can't figure out how to get this right. It seems to be the case that all
the examples are in plot coordinates. As of course is the readout in the
GUI itself. Is there a simple way to fix this or do I have convert it to
some other backend? Or use something else instead of FigureCanvasGTK? This,
to me, made the most sense to me at the time of writing, although I must
confess I'm still pretty new to this.
Use mpl events -- they work across user interface toolkits and handle
stuff like which axes did you click in and what are the data
coordinates
def onclick(event):
print 'axes', event.inaxes
if event.inaxes is None: return
print 'canvas', event.x, event.y
print 'data', event.xdata, event.ydata
cid = fig.canvas.mpl_connect('button_press_event', onclick)
See matplotlib.backend_bases.Event and derived classes for details on
available attributes. See
matplotlib.backend_bases.FigureCanvasBase.mpl_connect for details on
valid signals,
-
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Re: [Matplotlib-users] bug in qtagg backend when blitting
Thanks. Try again now. Hopefully it's correct this time (your test is a much better unit test than the animation_blit_* examples. Cheers, Mike Darren Dale wrote: I'm testing it out on 64-bit linux with this script: from pylab import * from matplotlib.widgets import Cursor ax=axes() cursor = Cursor(ax, useblit=True) ax.imshow(array([[0, 1, 2], [3, 4, 5], [6, 7, 8]]), cmap=cm.jet, interpolation='nearest') show() When the mouse pointer enters the axes, the cursor is drawn, blitting occurs, along with wierdness. I'm attaching screenshots, one using the new to_string_argb and one using to_string. Darren On Tuesday 06 May 2008 11:43:50 am Michael Droettboom wrote: This is now implemented on the branch and the trunk. Please let me know how it works for you. I'm particularly interested in non-Linux and Big Endian platforms (e.g. PPC) as a sanity check. Cheers, Mike Michael Droettboom wrote: I'll go ahead and fix this. It just fell through the cracks. Mike Darren Dale wrote: On Monday 05 May 2008 09:24:42 pm G Jones wrote: Hello, Attached is a script that when run from ipython --pylab with your backend setup for 'QtAgg' reproduces a bug I am seeing. If you run the plot, you'll see a line plotted in blue as expected. Then when the same figure is updated by blitting, the line turns red. I tried this with green and it stayed green, but yellow went to cyan. It seems that the byteswapping that is necessary for displaying colors correctly in Qt is happening during a normal plot, but not when blitting. I tried going through the code to determine the problem, I can only guess that it lies somewhere in the FigureCanvasQTAgg.paintEvent, since that's where I see to_ARGB etc. Sorry I couldn't locate the bug precisely, I find it very difficult to thread my way through all the backend classes. I did track down the source of the bug a while back: http://sourceforge.net/mailarchive/message.php?msg_id=200803121528.30565 .darren.dale%40cornell.edu Mike D. suggested that BufferRegion might need a byte-swapped version of to_string(), but unfortunately I am not an experienced c programmer and am short of time to try to work my way through it right now. I added a bug report at SF. Darren -- Michael Droettboom Science Software Branch Operations and Engineering Division Space Telescope Science Institute Operated by AURA for NASA - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] markeredgewidth and pdf
Hi Mike, Your test pdf shows up properly in Foxit. MD So --- this would appear to be a bug in Foxit. Perhaps you could MD submit this problematic PDF to them. I will do so, and I'll also include your description of the problem. -- Chris - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] MPL, py2exe and fonts
Hi all, I'm successfully getting all the MPL data files into spy2exe with: DATA_FILES = matplotlib.get_py2exe_datafiles() The problem is that that dumps a LOT of stuff, and I don't need most of it. I've already added to my script a few lines that delete the images dir, but I'd like to trim down the fonts to just those I need. I'm using the wxAgg back-end, with all default fonts -- does anyone know which those are? MPL version: 0.91.2 on Windows (duh!) by the way, is there any way to dump that data into the exe itself, rather than requiring it to be carried alongside? This makes me really appreciate application bundles on the Mac! -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/ORR(206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception [EMAIL PROTECTED] - This SF.net email is sponsored by the 2008 JavaOne(SM) Conference Don't miss this year's exciting event. There's still time to save $100. Use priority code J8TL2D2. http://ad.doubleclick.net/clk;198757673;13503038;p?http://java.sun.com/javaone ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] errorbar patch
Hi List,
I find the attached patch useful. It adds an argument (elinewidth) to
the errorbar function which is a linewidth analog to the ecolor
argument. It allows you to specify a linewidth for the errorbars, so
that it can be different from the plot linewidth. This is useful to me
because I prefer heavy (lw=2) plot lines, and I also like to
de-emphasize the errorbars (elinewidth=1).
Maybe someone else finds this useful? It is probably not the proper way
to do it, but would it be possible to add something like this to mpl?
--
Chris
Index: axes.py
===
--- axes.py (revision 5109)
+++ axes.py (working copy)
@@ -3742,7 +3742,7 @@
def errorbar(self, x, y, yerr=None, xerr=None,
- fmt='-', ecolor=None, capsize=3,
+ fmt='-', ecolor=None, elinewidth=None, capsize=3,
barsabove=False, lolims=False, uplims=False,
xlolims=False, xuplims=False, **kwargs):
@@ -3773,6 +3773,9 @@
ecolor is a matplotlib color arg which gives the color the
errorbar lines; if None, use the marker color.
+elinewidth is the linewidth of the errorbar lines;
+if None, use the linewidth.
+
capsize is the size of the error bar caps in points
barsabove, if True, will plot the errorbars above the plot symbols
@@ -3833,9 +3836,15 @@
lines_kw = {'label':'_nolegend_'}
if 'linewidth' in kwargs:
-lines_kw['linewidth']=kwargs['linewidth']
+if elinewidth is not None:
+lines_kw['linewidth']=elinewidth
+else:
+lines_kw['linewidth']=kwargs['linewidth']
if 'lw' in kwargs:
-lines_kw['lw']=kwargs['lw']
+if elinewidth is not None:
+lines_kw['linewidth']=elinewidth
+else:
+lines_kw['lw']=kwargs['lw']
if 'transform' in kwargs:
lines_kw['transform'] = kwargs['transform']
@@ -3893,22 +3902,22 @@
# y are lists
leftlo, ylo = xywhere(left, y, xlolims)
-caplines.extend( self.plot(leftlo, ylo, ls='None',
marker=mlines.CARETLEFT, **plot_kw) )
+caplines.extend( self.plot(leftlo, ylo, ls='None',
marker=mlines.CARETLEFT, **lines_kw) )
xlolims = ~xlolims
leftlo, ylo = xywhere(left, y, xlolims)
-caplines.extend( self.plot(leftlo, ylo, 'k|', **plot_kw) )
+caplines.extend( self.plot(leftlo, ylo, 'k|', **lines_kw) )
else:
-caplines.extend( self.plot(left, y, 'k|', **plot_kw) )
+caplines.extend( self.plot(left, y, 'k|', **lines_kw) )
if xuplims.any():
rightup, yup = xywhere(right, y, xuplims)
-caplines.extend( self.plot(rightup, yup, ls='None',
marker=mlines.CARETRIGHT, **plot_kw) )
+caplines.extend( self.plot(rightup, yup, ls='None',
marker=mlines.CARETRIGHT, **lines_kw) )
xuplims = ~xuplims
rightup, yup = xywhere(right, y, xuplims)
-caplines.extend( self.plot(rightup, yup, 'k|', **plot_kw)
)
+caplines.extend( self.plot(rightup, yup, 'k|',
**lines_kw) )
else:
-caplines.extend( self.plot(right, y, 'k|', **plot_kw) )
+caplines.extend( self.plot(right, y, 'k|', **lines_kw) )
if yerr is not None:
if iterable(yerr) and len(yerr)==2 and iterable(yerr[0]) and
iterable(yerr[1]):
@@ -3925,22 +3934,22 @@
if lolims.any():
xlo, lowerlo = xywhere(x, lower, lolims)
-caplines.extend( self.plot(xlo, lowerlo, ls='None',
marker=mlines.CARETDOWN, **plot_kw) )
+caplines.extend( self.plot(xlo, lowerlo, ls='None',
marker=mlines.CARETDOWN, **lines_kw) )
lolims = ~lolims
xlo, lowerlo = xywhere(x, lower, lolims)
-caplines.extend( self.plot(xlo, lowerlo, 'k_', **plot_kw) )
+caplines.extend( self.plot(xlo, lowerlo, 'k_', **lines_kw)
)
else:
-caplines.extend( self.plot(x, lower, 'k_', **plot_kw) )
+caplines.extend( self.plot(x, lower, 'k_', **lines_kw) )
if uplims.any():
xup, upperup = xywhere(x, upper, uplims)
-caplines.extend( self.plot(xup, upperup, ls='None',
marker=mlines.CARETUP, **plot_kw) )
+caplines.extend( self.plot(xup, upperup, ls='None',
marker=mlines.CARETUP, **lines_kw) )
uplims = ~uplims
xup, upperup = xywhere(x, upper, uplims)
-
