[Matplotlib-users] Tick label on left and right for yaxis?
Looking at set_ticks_position doc it says that default will reset ticks to be on both sides and labels on left, and set_label_position only allows for left or right. Is there any way to have ticks and ticks labels on both left and right? Werner -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] toolbar
Hello, the following will display a figure with a plot. the figure will embed the classic toolbar. import matplotlib.pyplot as plt import numpy as np x=np.arange(0, 1, 0.1) fig = plt.figure() ax = fig.add_subplot(111) ax.plot(x) plt.show() from there, is it possible to add new buttons to the toolbar ? with new fonction ? or do I have to embed everythong in wxPython, GTK or others ? thank you, Philippe -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Polar 3D plot?
I don't see a reason why this can't be implemented. It is probably pretty
simple to change the surface plot code to use a polar grid instead of a
rectangular grid. Of course this won't change the look of the rectangular
axes, but maybe that is not a problem.
I invite you to take a shot at implementing this. You will find the mplot3d
code pretty straightforward. (And a lot smaller than you might expect).
-Ben
-Original Message-
From: klukas [mailto:klu...@wisc.edu]
Sent: Wednesday, March 17, 2010 4:34 PM
To: matplotlib-users@lists.sourceforge.net
Subject: [Matplotlib-users] Polar 3D plot?
I'm guessing this is currently impossible with the current mplot3d
functionality, but I was wondering if there was any way I could generate a 3d
graph with r, phi, z coordinates rather than x, y, z?
The point is that I want to make a figure that looks like the following:
http://upload.wikimedia.org/wikipedia/commons/7/7b/Mexican_hat_potential_polar.svg
Using the x, y, z system, I end up with something that has long tails like
this:
http://upload.wikimedia.org/wikipedia/commons/4/44/Mecanismo_de_Higgs_PH.png
If I try to artificially cut off the data beyond some radius, I end up with
jagged edges that are not at all visually appealing.
I would appreciate any crazy ideas you can come up with.
Thanks,
Jeff
P.S. Code to produce the ugly jaggedness is included below:
---
from mpl_toolkits.mplot3d import Axes3D
import matplotlib
import numpy as np
from matplotlib import cm
from matplotlib import pyplot as plt
step = 0.04
maxval = 1.0
fig = plt.figure()
ax = Axes3D(fig)
X = np.arange(-maxval, maxval, step)
Y = np.arange(-maxval, maxval, step)
X, Y = np.meshgrid(X, Y)
R = np.sqrt(X**2 + Y**2)
Z = ((R**2 - 1)**2) * (R 1.25)
ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.jet) ax.set_zlim3d(0, 1)
#plt.setp(ax.get_xticklabels(), visible=False)
ax.set_xlabel(r'$\phi_\mathrm{real}$')
ax.set_ylabel(r'$\phi_\mathrm{im}$')
ax.set_zlabel(r'$V(\phi)$')
ax.set_xticks([])
plt.show()
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View this message in context:
http://old.nabble.com/Polar-3D-plot--tp27937798p27937798.html
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Re: [Matplotlib-users] [CJK] can create png but not eps
David wrote:
Dear Michael,
On 17/03/10 20:34, Michael Droettboom wrote:
I have tried
import matplotlib
matplotlib.use('GtkCairo')
as you suggested, but they had no effect whatsoever. Even the error
output is the same.
I'm surprised that isn't having any effect. The Cairo backend should not
be running any code in backend_ps.py -- where the source of the error
is. If you put backend: GtkCairo in your matplotlibrc, does that work?
No, in fact, after adding that line to matplotlibrc the CJK isn't even
rendered in the png anymore! *
My error message has changed:
In [1]: run dea.py
/usr/lib/pymodules/python2.6/matplotlib/backends/backend_gtk.py:614:
DeprecationWarning: Use the new widget gtk.Tooltip
self.tooltips = gtk.Tooltips()
This is just a warning, and a benign one. It is not an exception as before.
(this with backend: GtkCairo in matplotlibrc and the following two
lines in my dea.py:
import matplotlib
matplotlib.use('GtkCairo')
Incidentally, if I uncomment those two lines, then the (Western) font
of my graph actually changes.
I'm completely stumped by this. The font rendering does look slightly
different in the Cairo backend vs. the Agg backends, but I wouldn't
expect major differences -- the font choice itself should be the same.
I do see in the matplotlibrc that you attached that the TkAgg backend
is being specified, not GtkCairo.
I am able to get the Cairo backend to work just fine using matplotlib
0.99.0. What version of cairo and pycairo do you have installed?
What version of matplotlib are you running?
In [2]: matplotlib.__version__
Out[2]: '0.99.0'
Note: in line 327 and 328 of the matplotlibrc I have added
ps.fonttype=42
pdf.fonttype=42
I haven taken those out again, because I got an error message.
The error message may be related to using '=' rather than a ':'. In any
case, these settings don't affect by the Cairo backend so should have no
effect.
I think this is just a problem related to configuration. Once you get
the Cairo backend selected (and confirm that is the case), then
hopefully all will work.
Mike
I continue to be at a loss!
David
* I had the same problem yesterday, I solved it by reinstalling a
backup of matplotlibrc. Weird.
whereas I have uncommented
pdf.fonttype : 3
Any ideas? I would most welcome any hint and suggestion!
I don't think these settings will resolve the problem -- either font
type (42 or 3) still expects glyph names.
Mike
On 17/03/10 04:15, Michael Droettboom wrote:
The font you are using (SimHei) does not have any glyph names -- these
are used in the Postscript backend to refer to glyphs outside of the
ASCII range. More specifically, it looks like it has at least one
invalid glyph name (glyph names can only contain ASCII characters) --
loading it in FontForge complains about this. I haven't come across
such
a font before, but maybe that's common in CJK fonts. I don't know. I'm
looking through the spec to find a way that glyphs can be referenced
without a name, but I'm not finding one. Note, the PDF backend has the
same issue.
Do you have the same problem if you remove SimHei from the
font.sans-serif list and thus use Adobe Song Std instead? (I was
able
to find an online download of SimHei to test with, but not Adobe Song
Std).
As a workaround, the Cairo backend seems to handle this font just
fine.
You can add
import matplotlib
matplotlib.use('GtkCairo')
to the top of your script.
Mike
David wrote:
Hello everybody,
I have a final problem with my graph. As a last step I produce an
*.eps file that I use in conjunction with LaTeX.
Here is the last part of my code:
# plt.title('Title')
xlab = plt.xlabel(u'输入 1')
#xlab.set_position((0.2, 0.1))
ylab = plt.ylabel(u'输入 2')
plt.grid(True)
plt.subplots_adjust(bottom=0.2)
plt.show()
plt.savefig('dea.eps')
plt.show() produces the correct output,
but
plt.savefig('dea.eps') produces an error (the error message is
attached).
The error is clearly linked to the Chinese, as it runs through if I
take the Chinese out of the code.
Also, plt.savefig('dea.png') works fine.
Could anyone indicate where I would have to look for the mistake? The
matplotlibrc should be fine, but I am not sure.
Your help would be greatly appreciated!
Many thanks,
David
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Re: [Matplotlib-users] Polar 3D plot?
The code below works perfectly. I think this should be included as an
mplot3d codex. I'll look into what's required to submit a new example
to the documentation.
Thanks Armin!
|| Jeff Klukas, Research Assistant, Physics
|| University of Wisconsin -- Madison
|| jeff.klu...@gmail | jeffyklu...@aim | jeffklu...@skype
|| http://www.hep.wisc.edu/~jklukas/
On Thu, Mar 18, 2010 at 9:42 AM, Armin Moser
armin.mo...@student.tugraz.at wrote:
Hi,
you can create your supporting points on a regular r, phi grid and
transform them then to cartesian coordinates:
from mpl_toolkits.mplot3d import Axes3D
import matplotlib
import numpy as np
from matplotlib import cm
from matplotlib import pyplot as plt
step = 0.04
maxval = 1.0
fig = plt.figure()
ax = Axes3D(fig)
# create supporting points in polar coordinates
r = np.linspace(0,1.25,50)
p = np.linspace(0,2*np.pi,50)
R,P = np.meshgrid(r,p)
# transform them to cartesian system
X,Y = R*np.cos(P),R*np.sin(P)
Z = ((R**2 - 1)**2)
ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.jet)
ax.set_zlim3d(0, 1)
ax.set_xlabel(r'$\phi_\mathrm{real}$')
ax.set_ylabel(r'$\phi_\mathrm{im}$')
ax.set_zlabel(r'$V(\phi)$')
ax.set_xticks([])
plt.show()
hth
Armin
klukas schrieb:
I'm guessing this is currently impossible with the current mplot3d
functionality, but I was wondering if there was any way I could generate a
3d graph with r, phi, z coordinates rather than x, y, z?
The point is that I want to make a figure that looks like the following:
http://upload.wikimedia.org/wikipedia/commons/7/7b/Mexican_hat_potential_polar.svg
Using the x, y, z system, I end up with something that has long tails like
this:
http://upload.wikimedia.org/wikipedia/commons/4/44/Mecanismo_de_Higgs_PH.png
If I try to artificially cut off the data beyond some radius, I end up with
jagged edges that are not at all visually appealing.
I would appreciate any crazy ideas you can come up with.
Thanks,
Jeff
P.S. Code to produce the ugly jaggedness is included below:
---
from mpl_toolkits.mplot3d import Axes3D
import matplotlib
import numpy as np
from matplotlib import cm
from matplotlib import pyplot as plt
step = 0.04
maxval = 1.0
fig = plt.figure()
ax = Axes3D(fig)
X = np.arange(-maxval, maxval, step)
Y = np.arange(-maxval, maxval, step)
X, Y = np.meshgrid(X, Y)
R = np.sqrt(X**2 + Y**2)
Z = ((R**2 - 1)**2) * (R 1.25)
ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.jet)
ax.set_zlim3d(0, 1)
#plt.setp(ax.get_xticklabels(), visible=False)
ax.set_xlabel(r'$\phi_\mathrm{real}$')
ax.set_ylabel(r'$\phi_\mathrm{im}$')
ax.set_zlabel(r'$V(\phi)$')
ax.set_xticks([])
plt.show()
--
Armin Moser
Institute of Solid State Physics
Graz University of Technology
Petersgasse 16
8010 Graz
Austria
Tel.: 0043 316 873 8477
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Re: [Matplotlib-users] Polar 3D plot?
Hi,
you can create your supporting points on a regular r, phi grid and
transform them then to cartesian coordinates:
from mpl_toolkits.mplot3d import Axes3D
import matplotlib
import numpy as np
from matplotlib import cm
from matplotlib import pyplot as plt
step = 0.04
maxval = 1.0
fig = plt.figure()
ax = Axes3D(fig)
# create supporting points in polar coordinates
r = np.linspace(0,1.25,50)
p = np.linspace(0,2*np.pi,50)
R,P = np.meshgrid(r,p)
# transform them to cartesian system
X,Y = R*np.cos(P),R*np.sin(P)
Z = ((R**2 - 1)**2)
ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.jet)
ax.set_zlim3d(0, 1)
ax.set_xlabel(r'$\phi_\mathrm{real}$')
ax.set_ylabel(r'$\phi_\mathrm{im}$')
ax.set_zlabel(r'$V(\phi)$')
ax.set_xticks([])
plt.show()
hth
Armin
klukas schrieb:
I'm guessing this is currently impossible with the current mplot3d
functionality, but I was wondering if there was any way I could generate a
3d graph with r, phi, z coordinates rather than x, y, z?
The point is that I want to make a figure that looks like the following:
http://upload.wikimedia.org/wikipedia/commons/7/7b/Mexican_hat_potential_polar.svg
Using the x, y, z system, I end up with something that has long tails like
this:
http://upload.wikimedia.org/wikipedia/commons/4/44/Mecanismo_de_Higgs_PH.png
If I try to artificially cut off the data beyond some radius, I end up with
jagged edges that are not at all visually appealing.
I would appreciate any crazy ideas you can come up with.
Thanks,
Jeff
P.S. Code to produce the ugly jaggedness is included below:
---
from mpl_toolkits.mplot3d import Axes3D
import matplotlib
import numpy as np
from matplotlib import cm
from matplotlib import pyplot as plt
step = 0.04
maxval = 1.0
fig = plt.figure()
ax = Axes3D(fig)
X = np.arange(-maxval, maxval, step)
Y = np.arange(-maxval, maxval, step)
X, Y = np.meshgrid(X, Y)
R = np.sqrt(X**2 + Y**2)
Z = ((R**2 - 1)**2) * (R 1.25)
ax.plot_surface(X, Y, Z, rstride=1, cstride=1, cmap=cm.jet)
ax.set_zlim3d(0, 1)
#plt.setp(ax.get_xticklabels(), visible=False)
ax.set_xlabel(r'$\phi_\mathrm{real}$')
ax.set_ylabel(r'$\phi_\mathrm{im}$')
ax.set_zlabel(r'$V(\phi)$')
ax.set_xticks([])
plt.show()
--
Armin Moser
Institute of Solid State Physics
Graz University of Technology
Petersgasse 16
8010 Graz
Austria
Tel.: 0043 316 873 8477
--
Download Intel#174; Parallel Studio Eval
Try the new software tools for yourself. Speed compiling, find bugs
proactively, and fine-tune applications for parallel performance.
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[Matplotlib-users] Using colourmap from matplotlib
Hi, I am trying to create an image from an array using PIL, numpy and a colourmap from matplotlib. I got the colourmap by using ipython and the following code colourmap = [] for i in xrange(256): r,g,b,a = cm.jet(i) r = int(round((r * 255),0)) g = int(round((g * 255),0)) b = int(round((b* 255),0)) colourmap.append((r,g,b)) The following is used to plot an array: def array2image(array, scale=log, filename=tmp): # create image of the correct size new_image = Image.new(RGB, array.shape) # scan through a matrix and use Image.putdata() to put it in. x_size, y_size = array.shape largest = array.max() a_list = array.ravel() new_list = [] for x in a_list: if x == 0: new_list.append((0,0,0)) else: value = (log(x)/log(largest))*255 value = int(round(value,0)) value = blues_colourmap[value] #print value new_list.append(value) new_image.putdata(new_list) new_image.save(filename+.bmp) The image that is outputted is certainly correct for the data, however it is just no where near as pretty as the image you get from using plt.imshow(am_array) I'd like to get something that looks the same. I don't think the problems are because of the colourmap but rather because of my log scaling. Could someone please explain how matplotlib scales the image to make it look so nice? Regards, Ciarán -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] ask.scipy.org is online
Hello, Please tolerate my impatience for being the first announcing the new discussion platform :) and my cross-posting over the lists. The new site is beating at ask.scipy.org . David Warde-Farley is moving the questions from the old-site at advice.mechanicalkern.com (announced at SciPy09 by Robert Kern) We welcome you to join the discussions there. I have kicked-off the new questions chain by http://ask.scipy.org/en/topic/11-what-is-your-favorite-numpy-feature (Also cross-posted at http://stackoverflow.com/questions/2471872/what-is-your-favorite-numpy-featureto pull more attention to ask.scipy) Please share your questions and comments, and have fun with your discussions. -- Gökhan -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] ask.scipy.org is online
Oh, nice. I've been flagging particularly useful-looking answers on the matplotlib mailing list for a while; I have four or five hundred marked. I don't want to do all the cleanup to make them an inoculant for a new site, but perhaps they would be useful for people to do a few each or throw in their own favorites? modulo concerns over attribution, etc Chloe On Mar 18, 2010, at 18 Mar, 10:20 AM, Gökhan Sever wrote: Hello, Please tolerate my impatience for being the first announcing the new discussion platform :) and my cross-posting over the lists. The new site is beating at ask.scipy.org . David Warde-Farley is moving the questions from the old-site at advice.mechanicalkern.com (announced at SciPy09 by Robert Kern) We welcome you to join the discussions there. I have kicked-off the new questions chain by http://ask.scipy.org/en/topic/11-what-is-your-favorite-numpy-feature (Also cross-posted at http://stackoverflow.com/questions/2471872/what-is-your-favorite-numpy-feature to pull more attention to ask.scipy) Please share your questions and comments, and have fun with your discussions. -- Gökhan -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users Chloe Lewis Graduate student, Amundson Lab Ecosystem Sciences 137 Mulford Hall Berkeley, CA 94720-3114 http://nature.berkeley.edu/~chlewis -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
[Matplotlib-users] plot single vector with alpha
Hello, I am trying to plot multiple intersecting lines from a given array. In order to visualize the amount of crossing points I am setting a certain alpha. However the crossings do not get darker as I expected. That is what I tried:: import numpy as np import matplotlib.pyplot as plt x = np.random.randn(1000) y = np.random.randn(1000) plt.plot(x, y, alpha=.2, lw=1) plt.show() What is the right way to do it? Thanks cheers, Moritz -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] figure: centering data and plot.svg borders
Thanks, adding the axes ([0,0,1,1]) helped! :) I'll just be careful so that my calculation domain is from 0 - 1 in x and y direction, this is something I have to do anyway. This will definitely work! Thanks again, Tomislav - Original Message - From: Friedrich Romstedt Sent: 03/17/10 07:18 PM To: tomislav_ma...@gmx.com Subject: Re: [Matplotlib-users] figure: centering data and plot.svg borders Maybe: from matplotlib import pyplot as plt figureOne = plt.figure() axesOne = figureOne.add_axes([0, 0, 1, 1]) axesOne.plot([-1, 1], [-2, 2]) axesOne.plot([-2, 2], [-1, 1]) axesOne.set_xlim((-3, 3)) axesOne.set_ylim((-3, 3)) figureOne.set_figwidth(2) figureOne.set_figheight(2) plt.savefig(Friedrich.png) Friedrich -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] toolbar
On Thu, Mar 18, 2010 at 7:01 AM, Philippe Crave philippe.cr...@gmail.comwrote: Hello, the following will display a figure with a plot. the figure will embed the classic toolbar. import matplotlib.pyplot as plt import numpy as np x=np.arange(0, 1, 0.1) fig = plt.figure() ax = fig.add_subplot(111) ax.plot(x) plt.show() from there, is it possible to add new buttons to the toolbar ? with new fonction ? or do I have to embed everythong in wxPython, GTK or others ? thank you, Philippe Hi Pierre Raybaut a nice extension for what you are asking. You will need to use Qt4Agg backend to use it. The code is at http://matplotlib.svn.sourceforge.net/viewvc/matplotlib/trunk/matplotlib/lib/matplotlib/backends/qt4_editor/ He doesn't seem like planning to add more onto this extension ( http://code.google.com/p/spyderlib/issues/detail?id=136) This said, his code is easy to read and you should easily be able to extend it according to your need. -- Gökhan -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Plotting boolean/logical data type
2010/3/4 Timo Heine timo.he...@gmail.com: Basically what I want to do is to draw a horizontal line with relative y co-ordinates and absolute xmin and xmax co-ordinate. Then I could draw a line when a bit is high and have it always in plot area even when zooming etc. Like axhline(...) but with relative y and absolute x co-ordinates. I found a better solution candidate now, but I don't know whether it works: import matplotlib.transforms import matplotlib.lines create Axes instance by calling fig.add_axes() or fig.add_subplot() trans = matplotlib.transforms.blended_transform_factory(axes.transData, axes.transAxes) line = matplotlib.lines.Line2D([xmin, xmax], [yrel, yrel], transform = trans, whatever like color = 'r') line.y_isdata = False axes.add_line(line) The code is taken from axes.py:Axes.axhline() with some alterations. Friedrich -- Download Intel#174; Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] Using colourmap from matplotlib
2010/3/18 Ciarán Mooney general.moo...@googlemail.com:
value = (log(x)/log(largest))*255
Just two thoughts:
1) I doubt the statement cited above is not correct, as it may also
yield negative values as soon as 0 x 1. In fact, you are
calculating log_{largest}(x). This crosses zero for x = 1. What I
deem correct instead, is a linear mapping of the log space (logmin,
log(largest)) onto (0, 1). There logmin may be negative.
2) When matplotlib does the job, maybe use:
axes = fig.add_axes([0, 0, 1, 1])
axes.imshow(...)
This lets the axes fill the whole figure space, without margins. You
can also turn off the ticks if you want.
Friedrich
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[Matplotlib-users] compiling matplotlib on Snow Leopard / tar error
I tried to follow the instructions given on
http://blog.hyperjeff.net/?p=160
and modified the make.osx accordingly to compile matplotlib on OS X 10.6.2
(Snow Leopard).
But after executing
sudo make -f make.osx fetch deps mpl_build mpl_install
I get the following error message:
I had compiled and installed tar from source, so it could be that my tar is
missing a binding, but otherwise I could do tar xfz file.tar.gz on gzip
files. zlib and bunzip2 are also installed on my system.
If I do a cat make.osx | grep tar to find the possible location of the error
in the makefile, I only get:
rm -rf zlib-${ZLIBVERSION}.tar.gz libpng-${PNGVERSION}.tar.bz2 \
freetype-${FREETYPEVERSION}.tar.bz2
bdist_mpkg-${BDISTMPKGVERSION}.tar.gz \
${PYTHON} -c 'import urllib;
urllib.urlretrieve(http://www.zlib.net/zlib-${ZLIBVERSION}.tar.gz;,
zlib-${ZLIBVERSION}.tar.gz)' \
${PYTHON} -c 'import urllib;
urllib.urlretrieve(http://internap.dl.sourceforge.net/sourceforge/libpng/libpng-${PNGVERSION}.tar.bz2;,
libpng-${PNGVERSION}.tar.bz2)' \
${PYTHON} -c 'import urllib;
urllib.urlretrieve(http://download.savannah.gnu.org/releases/freetype/freetype-${FREETYPEVERSION}.tar.bz2;,
freetype-${FREETYPEVERSION}.tar.bz2)'
tar xvfz zlib-${ZLIBVERSION}.tar.gz \
tar xvfj libpng-${PNGVERSION}.tar.bz2
tar xvfj freetype-${FREETYPEVERSION}.tar.bz2 \
which doesn't give me any hint, since all this formats should be support.
Did anyone encounter this problem?
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Download Intel#174; Parallel Studio Eval
Try the new software tools for yourself. Speed compiling, find bugs
proactively, and fine-tune applications for parallel performance.
See why Intel Parallel Studio got high marks during beta.
http://p.sf.net/sfu/intel-sw-dev
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