Re: [Matplotlib-users] cannot import animation module

2011-11-24 Thread Chao YUE
now I updated to 1.1.0, it works. thanks to all.

chao

2011/11/23 Chao YUE chaoyue...@gmail.com

 Dear all,

 I am using matplotlib 0.99.3 (I think it's the default version when I use
 sudo apt-get install under ubuntu 11.04), but I don't have
 matplotlib.animation module. I think I need to reinstall it?

 thanks,

 chao

 --

 ***
 Chao YUE
 Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
 UMR 1572 CEA-CNRS-UVSQ
 Batiment 712 - Pe 119
 91191 GIF Sur YVETTE Cedex
 Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16

 




-- 
***
Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
UMR 1572 CEA-CNRS-UVSQ
Batiment 712 - Pe 119
91191 GIF Sur YVETTE Cedex
Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16

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[Matplotlib-users] ft2font error while building with python3 support

2011-11-24 Thread Ignas Anikevicius
Dear list,

I have been trying to build matplotlib with python2 *and* python3
support. I am using Gentoo and a custom ebuild which can be found on
gnlay overlay[1]. However, I had a build error while trying to compile
'src/ft2font.cpp' (see the log attached[2]). I was wondering weather
there are any preparation steps involved to make this file compile,
which might be different from the python2 version?

I found the 'CXX/Extensions.hxx' and the problem might be that it is
not loaded due to some reason?

I am afraid that this might have something to do with the my ebuild,
so could someone tell me more about how the building process works? Or
how much it is different for python3 compared with python2?

Thanks a lot,
Ignas

[1] - https://github.com/gns-ank/gnlay/tree/
[2] - http://pastebin.com/m9Lf3s0J

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[Matplotlib-users] Performance after benchmarking seems low

2011-11-24 Thread Zynth _

Dear MatPlotLib users,
 
I am having trouble with the performance of matplotlib.
For data analysis, I want to be able to place multiple graphs on screen,
with multiple lines, each consisting of 16000 data points.
 
I have benchmarked my solution, but it did not perform too well.
For example: 6 graphs with 6 lines each, takes 12.5 seconds.
This graph indicates my benchmark:
http://img59.imageshack.us/img59/7613/graphpython.gif
 
I also noticed that memory usage during the benchmark rises to too high levels.
I have, during a different experiment, plotted 36 graphs with 1 line.
This is about 9MB of total (x,y) data alltogether, but execution of the 
benchmark 
spikes 1GB of memory usage.
 
My question: 
- Is this performance of matplotlib to be expected?
- Can it be improved in any way?
 
Thank you very much in advance,
 
Anne
 


The code I use for the benchmark

for nr_of_graphs in range (1,7):
for nr_of_lines in range(1,7):
root = Tk.Tk()
#nr_of_lines = int(argv[0])
#nr_of_graphs = int(argv[1])
m = myLinMultiPlot()
m.drawxy(test {0}L on {1}G.format(nr_of_lines, nr_of_graphs), 
nr_of_graphs, nr_of_lines)
root.mainloop()

The code that plots the actual lines

class myLinMultiPlot(Tk.Toplevel):
def drawxy(self, test_name, plots, lines):
pointsize = 16000
figure = Figure(figsize=(2,1), dpi=100)
storage = []
axes_arr = []
for p in range(0,plots):
for li in range(0,lines):
shift = li * 100
axes = figure.add_subplot(plots,1,1 + p)
axes_arr.append(axes)
xarr = xrange(0,16000)
yarr = []
for x in xarr:
yarr.append(math.sqrt(x + shift))
strg = [xarr,yarr]
storage.append(strg)
startdraw = timeit.default_timer()
for a in axes_arr:
for l in storage:
a.plot(l[0],l[1])
canvas = FigureCanvasTkAgg(figure, master = self)
canvas._tkcanvas.pack(side=Tk.TOP, fill=Tk.BOTH, expand=1)
canvas.show()
canvas.blit()
//This is the time depicted in my benchmark!
durationdraw = timeit.default_timer() - startdraw   
  
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[Matplotlib-users] Fwd: Bug or feature: bbox of maps

2011-11-24 Thread Arlindo da Silva
The original message with attachment didn't go thru...

Begin forwarded message:

*From:* Arlindo da Silva dasi...@alum.mit.edu
*To:* matplotlib-users matplotlib-users@lists.sourceforge.net
*Subject:* *Bug or feature: bbox of maps*

Hi,

 (A similar issue was reported back in 7/4/11 without a definite solution,
so I am reposting with some additional diagnostics. ) Up to Matplotlib 0.99
(EPD 6.3) the code snippet below  produced a plot with an aligned colorbar
as in the attached correct.png plot:

   fig = plt.figure()
   ax = fig.add_axes(...)

   m = Basemap(..., ax=ax, ...)

   im = m.imshow(...)

   # show()

   # setup colorbar axes and draw colorbar
   bbox = ax.get_position()
   l,b,w,h = bbox.bounds
   cax = fig.add_axes([l+w+0.05, b, 0.05, h],frameon=False)
   fig.colorbar(im, cax=cax)


Starting with Matplotlib 1.0.0 this no longer works. The ax.get_position()
no longer returns the bounding box of the plot but the bbox of the window,
see the attached wrong.png attached.  Some odd behavior:

1) I can get the code above to work correctly under MPL 1.0 if I uncomment
the show() line above. (This is not an acceptable solution because show()
blocks if not in interactive mode).

2) Under ipython, if after plotting I print gca().get_position().bounds I
get the correct bounding box, even when I just got the wrong colorbar
positioning.

3) If I run the code above twice in a row (without creating a new fig), the
second time around the correct bounding box is returned.

  Can someone explain to me what is going on? Is this one of those arcane
features of matplotlib transform caching?  It appears that show() is
flushing some type of buffer. Is there any way of accomplishing this
without actually calling show()?

  Thank you,

 Arlindo

-- 
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dasi...@alum.mit.edu

correct.png

wrong.png
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[Matplotlib-users] Page not available on server

2011-11-24 Thread Sven Ahrens

Dear mailinglist readers,

I have a problem by accessing the content

http://matplotlib.sourceforge.net/examples/pylab_examples/demo_tight_layout_00.html

whereas other contents, like for example

http://matplotlib.sourceforge.net/examples/pylab_examples/demo_ribbon_box.html

are well accessible. Is there a reason, why this content is not available?

I would be glad, if you might help.

Best regards,
Sven Ahrens


The error message:

An error has been encountered in accessing this page.

1. *Server:* matplotlib.sourceforge.net
2. *URL path:* /examples/pylab_examples/demo_tight_layout_00.html
3. *Error notes:* NONE
4. *Error type:* 404
5. *Request method:* GET
6. *Request query string:* NONE
7. *Time:* 2011-11-23 12:45:59 UTC (1322052359)


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Re: [Matplotlib-users] Clearing the axis in a figure embedded in Tkinter

2011-11-24 Thread Michka


johnmcpot wrote:
 
 Hi JD, 
 
 I'm having exactly the same problem. Did you find a solution?
 

Hello

I have exactly the same problem while embedding matplotlib in PyQT4 on OS X
with backend_qt4agg.
I think I have found a solution : do you use frameon=False in this line : 
fig = Figure(figsize=(width, height), dpi=dpi, frameon=False)

I did, and went back to True ... and no more axes update problems !!!

You can check this behavior in this tutorial : add the frameon=False, and
the axes are no more updating correctly (on OS X, didn't test it on Linux).
http://matplotlib.sourceforge.net/examples/user_interfaces/embedding_in_qt4.html

Perhaps this is normal. If not I think I'll submit a bug report in
matplotlib's bugtracker.

Michka


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[Matplotlib-users] Basemap drawparallels failed issue

2011-11-24 Thread Dave Xia
Hi,

I am a new user of matplotlib Basemap. I tried to draw  the latitude with
interval 0.1 degree using drawparallels, but failed.  I wonder if the
drawparallels can draw latitude lines with small interval instead of
integer values. (drawmeridian can work with small interval 0.1).

Does anyone have any idea to fix this issue?

Thanks!

Dave

#here is a test program to test the drawparallels function
#testbasemap.py
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import numpy as np
import math

latmin=36.803200
latmax=37.306640
lonmin=-76.396026
lonmax=-75.602331

latmin1=math.floor(latmin)
latmax1=math.ceil(latmax)
lonmin1=math.floor(lonmin)
lonmax1=math.ceil(lonmax)

m=Basemap(projection='merc',resolution='h',llcrnrlat=latmin,urcrnrlat=latmax,llcrnrlon=lonmin,urcrnrlon=lonmax)
m.drawcoastlines()
m.drawmapboundary(fill_color='aqua')
m.fillcontinents(color='coral',lake_color='aqua')
meridians = np.arange(lonmin1,lonmax1,0.1)
m.drawmeridians(meridians,labels=[1,1,0,1],fmt='%5.2f')
parallels=np.arange(latmin,latmax,0.1)
m.drawparallels(parallels,labels=[1,1,0,1],fmt='%5.2f')
plt.savefig('test.png')


#
The error message is as follows:

Traceback (most recent call last):
  File testbasemap.py, line 25, in module
m.drawparallels(parallels,labels=[1,1,0,1],fmt='%5.2f')
  File
/usr/local/lib/python2.7/site-packages/mpl_toolkits/basemap/__init__.py,
line 2067, in drawparallels
if t is not None: linecolls[int(lat)][1].append(t)
KeyError: 36
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[Matplotlib-users] Bug or feature: bbox of maps

2011-11-24 Thread Arlindo da Silva
The original message with attachments are still being held because of file
size, so I am reposting here without the attachments...

-- Forwarded message --
From: Arlindo da Silva dasi...@alum.mit.edu
Date: Mon, Nov 21, 2011 at 10:45 PM
Subject: Bug or feature: bbox of maps
To: Matplotlib-users@lists.sourceforge.net
Cc: Jeff Whitaker jeffrey.s.whita...@noaa.gov


Hi,

  (A similar issue was reported back in 7/4/11 without a definite solution,
so I am reposting with some additional diagnostics. ) Up to Matplotlib 0.99
(EPD 6.3) the code snippet below  produced a plot with an aligned colorbar
as in the attached correct.png plot:

fig = plt.figure()
ax = fig.add_axes(...)

m = Basemap(..., ax=ax, ...)

im = m.imshow(...)

# show()

# setup colorbar axes and draw colorbar
bbox = ax.get_position()
l,b,w,h = bbox.bounds
cax = fig.add_axes([l+w+0.05, b, 0.05, h],frameon=False)
fig.colorbar(im, cax=cax)


Starting with Matplotlib 1.0.0 this no longer works. The ax.get_position()
no longer returns the bounding box of the plot but the bbox of the window,
see the attached wrong.png attached.  Some odd behavior:

1) I can get the code above to work correctly under MPL 1.0 if I uncomment
the show() line above. (This is not an acceptable solution because show()
blocks if not in interactive mode).

2) Under ipython, if after plotting I print gca().get_position().bounds I
get the correct bounding box, even when I just got the wrong colorbar
positioning.

3) If I run the code above twice in a row (without creating a new fig), the
second time around the correct bounding box is returned.

   Can someone explain to me what is going on? Is this one of those arcane
features of matplotlib transform caching?  It appears that show() is
flushing some type of buffer. Is there any way of accomplishing this
without actually calling show()?

   Thank you,

  Arlindo

-- 
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dasi...@alum.mit.edu
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Re: [Matplotlib-users] Removing ticks and frame (imshow)

2011-11-24 Thread Marianne C.
Hello,

I am sending my email again, with no attachment this time.

Thanks for reading!
Marianne

On Thu, Nov 24, 2011 at 3:48 PM, Marianne C. mariyann...@gmail.com wrote:

 Hi all,

 My name is Marianne, I am a beginner user of matplotlib.
 I am using imshow in pyplot.  I am desperate to get rid of
 the ticks on both x and y axes (see attached picture).  I
 do not need the black box around the data either.  Should
 I use imshow in axes.Axes instead, to be able to call

 set_ticks_position(none)?

 Thank you for your help,
 Marianne

 Here is my script so far:

 import numpy
 from matplotlib import pyplot

 q=numpy.loadtxt('field.txt')

 myfield = pyplot.imshow(q,aspect=1)
 myfield.set_clim(vmin=0, vmax=0.6)

 pyplot.colorbar()

 pyplot.savefig('field_1.eps')


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Re: [Matplotlib-users] Page not available on server

2011-11-24 Thread Dale Chayes

On Nov 23, 2011, at 7:58 , Sven Ahrens wrote:

 Dear mailinglist readers,
 
 I have a problem by accessing the content
 
 http://matplotlib.sourceforge.net/examples/pylab_examples/demo_tight_layout_00.html

This one works:

http://matplotlib.sourceforge.net/examples/pylab_examples/demo_tight_layout.html

I'm wondering where the _00 came from in your link?

-Dale

 
 whereas other contents, like for example
 
 http://matplotlib.sourceforge.net/examples/pylab_examples/demo_ribbon_box.html
 
 are well accessible. Is there a reason, why this content is not available?
 
 I would be glad, if you might help.
 
 Best regards,
 Sven Ahrens
 
 
 The error message:
 
 An error has been encountered in accessing this page.
 1. Server: matplotlib.sourceforge.net 
 2. URL path: /examples/pylab_examples/demo_tight_layout_00.html 
 3. Error notes: NONE 
 4. Error type: 404 
 5. Request method: GET 
 6. Request query string: NONE 
 7. Time: 2011-11-23 12:45:59 UTC (1322052359)
 
 
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 Matplotlib-users@lists.sourceforge.net
 https://lists.sourceforge.net/lists/listinfo/matplotlib-users


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[Matplotlib-users] markeredgecolor (mec) in the plot function not working?

2011-11-24 Thread Chao YUE
Dear all,

I use matplotlib 1.1.0.

import matplotlib.pyplot as plt
plt.plot(np.arange(10),'ro',mec='none')

when I use plt.show(),

there is only blank frame with axis not no points.

but plt.plot(np.arange(10),'ro') will give good plot with read filled
circles and black edges.

plt.scatter(np.arange(10),np.arange(10),c='r',marker='o',edgecolor='none')
is working fine.

but I really think plt.plot is a very good and easy function if you don't
make complex scatter points. and the circles look much nicer than that
produced by plt.scatter (thought I don't know why
as they use the same symble)

does anyone else have found the same ?

thanks to all,

Chao

-- 
***
Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
UMR 1572 CEA-CNRS-UVSQ
Batiment 712 - Pe 119
91191 GIF Sur YVETTE Cedex
Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16

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Re: [Matplotlib-users] markeredgecolor (mec) in the plot function not working?

2011-11-24 Thread Eric Firing
On 11/24/2011 07:04 AM, Chao YUE wrote:
 Dear all,

 I use matplotlib 1.1.0.

 import matplotlib.pyplot as plt
 plt.plot(np.arange(10),'ro',mec='none')

 when I use plt.show(),

 there is only blank frame with axis not no points.

 but plt.plot(np.arange(10),'ro') will give good plot with read filled
 circles and black edges.

 plt.scatter(np.arange(10),np.arange(10),c='r',marker='o',edgecolor='none')
 is working fine.

 but I really think plt.plot is a very good and easy function if you
 don't make complex scatter points. and the circles look much nicer than
 that produced by plt.scatter (thought I don't know why
 as they use the same symble)

 does anyone else have found the same ?

Confirmed with git master.  This is a major bug.

Eric


 thanks to all,

 Chao

 --
 ***
 Chao YUE
 Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
 UMR 1572 CEA-CNRS-UVSQ
 Batiment 712 - Pe 119
 91191 GIF Sur YVETTE Cedex
 Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
 



 --
 All the data continuously generated in your IT infrastructure
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Re: [Matplotlib-users] markeredgecolor (mec) in the plot function not working?

2011-11-24 Thread Benjamin Root
On Thursday, November 24, 2011, Eric Firing efir...@hawaii.edu wrote:
 On 11/24/2011 07:04 AM, Chao YUE wrote:
 Dear all,

 I use matplotlib 1.1.0.

 import matplotlib.pyplot as plt
 plt.plot(np.arange(10),'ro',mec='none')

 when I use plt.show(),

 there is only blank frame with axis not no points.

 but plt.plot(np.arange(10),'ro') will give good plot with read filled
 circles and black edges.


plt.scatter(np.arange(10),np.arange(10),c='r',marker='o',edgecolor='none')
 is working fine.

 but I really think plt.plot is a very good and easy function if you
 don't make complex scatter points. and the circles look much nicer than
 that produced by plt.scatter (thought I don't know why
 as they use the same symble)

 does anyone else have found the same ?

 Confirmed with git master.  This is a major bug.

 Eric


Hmmm, the bug that I once reported before about the errorbar plots having
black edges seems to be back for me as well... I wonder if this is related?

Ben Root
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Re: [Matplotlib-users] ft2font error while building with python3 support

2011-11-24 Thread Friedrich Romstedt
2011/11/24 Ignas Anikevicius anikevic...@gmail.com:
 Dear list,

 I have been trying to build matplotlib with python2 *and* python3
 support. I am using Gentoo and a custom ebuild which can be found on
 gnlay overlay[1]. However, I had a build error while trying to compile
 'src/ft2font.cpp' (see the log attached[2]). I was wondering weather
 there are any preparation steps involved to make this file compile,
 which might be different from the python2 version?

 I found the 'CXX/Extensions.hxx' and the problem might be that it is
 not loaded due to some reason?

The log looks ok, although the lines are remarkably short, compared to
building on a Mac.  Did you modify CFLAGS or CC?

The ``-I.`` should just do the trick, at least.  So I wonder if, for
some reason, maybe your CWD is no longer the matplotlib root
directory.  I could imagine that it has either sth to do with your
gentoo ebuild or with Python3k's distutils?  Just a rough guess.

 I am afraid that this might have something to do with the my ebuild,
 so could someone tell me more about how the building process works? Or
 how much it is different for python3 compared with python2?

For py2k it's just pythonX.Y setup.py build and then pythonX.Y
setup.py install, if you want to install.  ft2font.so is built during
the build step.  I believe it's the same for py3k.

I actually don't know if it'll work if you say e.g. pythonX.Y
matplotlib.git/setup.py build .. might be an mistake in either
distutils or the matplotlib build engine which I don't know at all (if
there are additions from the mpl side to building at all.).  If
I'm right a ``cd ./matplotlib`` should do the trick. :-)  I
believe it's rare to invoke the setup.py from another directory than
that where it resides in.

I don't know how to build ebuild scripts.  I'm just a user of them.

cu,
Friedrich

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Re: [Matplotlib-users] Removing ticks and frame (imshow)

2011-11-24 Thread Friedrich Romstedt
2011/11/24 Marianne C. mariyann...@gmail.com:
 On Thu, Nov 24, 2011 at 3:48 PM, Marianne C. mariyann...@gmail.com wrote:
 Hi all,

 My name is Marianne, I am a beginner user of matplotlib.
 I am using imshow in pyplot.  I am desperate to get rid of
 the ticks on both x and y axes (see attached picture).  I
 do not need the black box around the data either.  Should

The cleanes solution, is to use the NullLocator.  I'm not a user of
pylab Matlabish interface, but from what I know::

   gca().xaxis.set_major_locator(matplotlib.ticker.NullLocator())
   gca().yaxis.set_major_locator(matplotlib.ticker.NullLocator())

after importing matplotlib.ticker of course.  Should work, but didn't try.

http://matplotlib.sourceforge.net/api/ticker_api.html
http://matplotlib.sourceforge.net/api/axis_api.html#matplotlib.axis.Axis.set_major_locator
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.gca

You are free to use the OO interface which yields the same.

Notice that upon clear() the locators are most probably lost.

gca() get the current Axes object.  xaxis and yaxis are its Axis
attributes.  The locator defines where to set ticks.  If it's the
NoneLocator this is rather a stub to saying don't place ticks ever.
But it's more clean than to force them directly to the empty list
because it'll survive at least limit changes.  I don't know if the
manual method survives that.  Otherwise it's also a matter of taste.

From the docs I do not see that you could hand over the locators
directly to the imshow call
http://matplotlib.sourceforge.net/api/pyplot_api.html#matplotlib.pyplot.imshow.

For the frame, if it really matters, you can set the ``edgecolor``
probably to 'none', literally with the quotes.  There's a Figure
object created when you create the plot, you can get it via gcf().
Try to figure out how to set its egdecolor either on construction or
later.  If you are stuck tell.

Make sure to reply to all.

cu,
Friedrich

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Re: [Matplotlib-users] markeredgecolor (mec) in the plot function not working?

2011-11-24 Thread Eric Firing
On 11/24/2011 08:13 AM, Benjamin Root wrote:


 On Thursday, November 24, 2011, Eric Firing efir...@hawaii.edu
 mailto:efir...@hawaii.edu wrote:
   On 11/24/2011 07:04 AM, Chao YUE wrote:
   Dear all,
  
   I use matplotlib 1.1.0.
  
   import matplotlib.pyplot as plt
   plt.plot(np.arange(10),'ro',mec='none')
  
   when I use plt.show(),
  
   there is only blank frame with axis not no points.
  
   but plt.plot(np.arange(10),'ro') will give good plot with read filled
   circles and black edges.
  
  
 plt.scatter(np.arange(10),np.arange(10),c='r',marker='o',edgecolor='none')
   is working fine.
  
   but I really think plt.plot is a very good and easy function if you
   don't make complex scatter points. and the circles look much nicer than
   that produced by plt.scatter (thought I don't know why
   as they use the same symble)
  
   does anyone else have found the same ?
  
   Confirmed with git master.  This is a major bug.
  
   Eric
  

 Hmmm, the bug that I once reported before about the errorbar plots
 having black edges seems to be back for me as well... I wonder if this
 is related?

 Ben Root

Looks like an alpha-handling bug.  I think the mec='none' is setting 
edgecolor alpha to zero, which is setting the gc alpha to zero, which is 
clobbering the rgbFace.

Eric

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Re: [Matplotlib-users] data free margin

2011-11-24 Thread C M

 I don't know if this will work for you, but in your situation I would
 probably just make another axis for the data with no y value. Like, a short
 squat axis directly below the main axis.


 -Jeff


Thanks.  That crossed my mind, but I never tried it yet.  I thought it
would take up too much vertical room in the display to have another axis
just for what would likely be 1-2 data points worth of y-less data.  I'd
really want to not display the x axis for that one and just align it with
the x axis of the main plot, but then the data points would be *below* the
axis, and that would seem visually odd.

I'll play with it in a sample app and see if I can get it to look good this
way.

 Che
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Re: [Matplotlib-users] markeredgecolor (mec) in the plot function not working?

2011-11-24 Thread Eric Firing
On 11/24/2011 07:04 AM, Chao YUE wrote:
 Dear all,

 I use matplotlib 1.1.0.

 import matplotlib.pyplot as plt
 plt.plot(np.arange(10),'ro',mec='none')

 when I use plt.show(),

 there is only blank frame with axis not no points.

 but plt.plot(np.arange(10),'ro') will give good plot with read filled
 circles and black edges.

 plt.scatter(np.arange(10),np.arange(10),c='r',marker='o',edgecolor='none')
 is working fine.

 but I really think plt.plot is a very good and easy function if you
 don't make complex scatter points. and the circles look much nicer than
 that produced by plt.scatter (thought I don't know why
 as they use the same symble)

 does anyone else have found the same ?

See https://github.com/matplotlib/matplotlib/pull/598
for a proposed quick fix.

Eric


 thanks to all,

 Chao

 --
 ***
 Chao YUE
 Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
 UMR 1572 CEA-CNRS-UVSQ
 Batiment 712 - Pe 119
 91191 GIF Sur YVETTE Cedex
 Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
 



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Re: [Matplotlib-users] ft2font error while building with python3 support

2011-11-24 Thread Ignas Anikevicius
Hi,

Thanks for your reply.

On 24/11/11 18:54, Friedrich Romstedt wrote:
...
 building on a Mac. Did you modify CFLAGS or CC?

There was in the ebuild some additional flags like
fno-strict-aliasing, but nothing change by removing the aditional
flags. The strange thing is that it still builds for 2.7, but not for
3.2.

...
...
 I actually don't know if it'll work if you say e.g. pythonX.Y
 matplotlib.git/setup.py build .. might be an mistake in either
 distutils or the matplotlib build engine which I don't know at all (if
 there are additions from the mpl side to building at all.). If
 I'm right a ``cd ./matplotlib`` should do the trick. :-)

It did not help :(...

I have probably found out the cause in the difference. The relevant
part of the log for the Python 2.7 build:
---
running build_ext
building 'matplotlib.ft2font' extension
creating build-2.7/temp.linux-x86_64-2.7
creating build-2.7/temp.linux-x86_64-2.7/src
creating build-2.7/temp.linux-x86_64-2.7/CXX
x86_64-pc-linux-gnu-g++ -pthread -march=native -O2 -fno-strict-aliasing
-fPIC -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API -DPYCXX_ISO_CPP_LIB=1
-I/usr/local/include -I/usr/include
-I/usr/lib64/python2.7/site-packages/numpy/core/include
-I/usr/include/freetype2 -I/usr/include -I. -I/usr/include/python2.7 -c
src/ft2font.cpp -o build-2.7/temp.linux-x86_64-2.7/src/ft2font.o
---

And know for the Python 3.2 build:
---
running build_ext
building 'matplotlib.ft2font' extension
creating build-3.2/temp.linux-x86_64-3.2
creating build-3.2/temp.linux-x86_64-3.2/src
---
 !missing line
!!
---
x86_64-pc-linux-gnu-g++ -pthread -march=native -O2 -fPIC
-DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API -DPYCXX_ISO_CPP_LIB=1
-DPYCXX_PYTHON_2TO3=1 -I/usr/local/include -I/usr/include
-I/usr/lib64/python3.2/site-packages/numpy/core/include
-I/usr/include/freetype2 -I/usr/include -I. -I/usr/include/python3.2 -c
src/ft2font.cpp -o build-3.2/temp.linux-x86_64-3.2/src/ft2font.o
---

Note that there is a missing line for the 3.2 build as it does not
create the build-3.2/temp.linux-x86_64-3.2/CXX directory.

Hence, my question is whether this behaviour is due to some code in
the MPL building system, or should I research my ebuild more?

Cheers,
Ignas A.

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Re: [Matplotlib-users] ft2font error while building with python3 support

2011-11-24 Thread Friedrich Romstedt
2011/11/24 Ignas Anikevicius anikevic...@gmail.com:
 I have probably found out the cause in the difference. The relevant
 part of the log for the Python 2.7 build:
 ---
 running build_ext
 building 'matplotlib.ft2font' extension
 creating build-2.7/temp.linux-x86_64-2.7
 creating build-2.7/temp.linux-x86_64-2.7/src
 creating build-2.7/temp.linux-x86_64-2.7/CXX
 x86_64-pc-linux-gnu-g++ -pthread -march=native -O2 -fno-strict-aliasing
 -fPIC -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API -DPYCXX_ISO_CPP_LIB=1
 -I/usr/local/include -I/usr/include
 -I/usr/lib64/python2.7/site-packages/numpy/core/include
 -I/usr/include/freetype2 -I/usr/include -I. -I/usr/include/python2.7 -c
 src/ft2font.cpp -o build-2.7/temp.linux-x86_64-2.7/src/ft2font.o
 ---

 And know for the Python 3.2 build:
 ---
 running build_ext
 building 'matplotlib.ft2font' extension
 creating build-3.2/temp.linux-x86_64-3.2
 creating build-3.2/temp.linux-x86_64-3.2/src
 ---
  !missing line
 !!
 ---
 x86_64-pc-linux-gnu-g++ -pthread -march=native -O2 -fPIC
 -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API -DPYCXX_ISO_CPP_LIB=1
 -DPYCXX_PYTHON_2TO3=1 -I/usr/local/include -I/usr/include
 -I/usr/lib64/python3.2/site-packages/numpy/core/include
 -I/usr/include/freetype2 -I/usr/include -I. -I/usr/include/python3.2 -c
 src/ft2font.cpp -o build-3.2/temp.linux-x86_64-3.2/src/ft2font.o
 ---

 Note that there is a missing line for the 3.2 build as it does not
 create the build-3.2/temp.linux-x86_64-3.2/CXX directory.

 Hence, my question is whether this behaviour is due to some code in
 the MPL building system, or should I research my ebuild more?

Good research!  Unfortunately, this beyond my level.  Keep us posted.
I would suspect some bug in distutils, but this can be completely off.
  Normally the obvious guesses are rather wrong in such cases as this.

How does the ebuild work?  Does it invoke setup.py?  If yes, maybe
matplotlib installs the CXX dir s.t. it does not work for py3k?  Maybe
just the attribute matplotlib is monkeypatching. if at all, changed
its name?  All this ideas do not claim that they explain it, they just
are meant to help you being let to the real cause of the malfunction.

Good luck, and a lot of inspiration
Friedrich

P.S.: Luck – has nothing to do with it.  Faith, and hard work, girl,
'cause I'll be damned if ... [Final Fantasy]

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Re: [Matplotlib-users] ft2font error while building with python3 support

2011-11-24 Thread Ignas Anikevicius
Hi all,

On 24/11/11 23:02, Friedrich Romstedt wrote:
 How does the ebuild work? Does it invoke setup.py? If yes, maybe
 matplotlib installs the CXX dir s.t. it does not work for py3k?

Sorry for making the noise, I found the problem, actually it was my
ebuild which removed the CXX folder after the 2.7 python succeeded to
build. I do not know the reasons behind this though.

No I do not have the error there, but I have elsewhere. :) Here it is:
--
x86_64-pc-linux-gnu-g++ -pthread -march=native -O2 -fno-strict-aliasing
-fPIC -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API -DPYCXX_ISO_CPP_LIB=1
-DPYCXX_PYTHON_2TO3=1 -I/usr/local/include -I/usr/include -I/usr/include
-I. -I/usr/lib64/python3.2/site-packages/numpy/core/include -Isrc
-Iagg24/include -I.
-I/usr/lib64/python3.2/site-packages/numpy/core/include
-I/usr/include/freetype2 -I/usr/include -I. -I/usr/include -I.
-I/usr/include/pygtk-2.0 -I/usr/include/gtk-2.0 -I/usr/include/glib-2.0
-I/usr/lib64/glib-2.0/include -I/usr/lib64/gtk-2.0/include
-I/usr/include/atk-1.0 -I/usr/include/cairo
-I/usr/include/gdk-pixbuf-2.0 -I/usr/include/pango-1.0
-I/usr/include/pixman-1 -I/usr/include/libpng15 -I/usr/include/libdrm
-I/usr/lib64/python3.2/site-packages/numpy/core/include
-I/usr/include/python3.2 -c src/_gtkagg.cpp -o
build-3.2/temp.linux-x86_64-3.2/src/_gtkagg.o
src/_gtkagg.cpp: In function ‘PyObject* init_gtkagg()’:
src/_gtkagg.cpp:137:5: error: return-statement with no value, in
function returning ‘PyObject*’
src/_gtkagg.cpp:138:5: error: ‘PyCObject_Check’ was not declared in this
scope
src/_gtkagg.cpp:138:5: error: ‘PyCObject_AsVoidPtr’ was not declared in
this scope
src/_gtkagg.cpp:138:5: error: return-statement with no value, in
function returning ‘PyObject*’
src/_gtkagg.cpp:138:5: error: return-statement with no value, in
function returning ‘PyObject*’
--

If anybody could explain why I am getting the above. Is it because of
a wrong version of PyGobject (2.28.6) or PyGtk (2.24.0) ? Or is it
because the GTK Backend is not yet ported to Python 3?

Also, could anybody tell me what differences are there in dependencies
between Py2 and Py3 versions of MPL?

Cheers,
Ignas A.

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