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I identify the problem. There is no basemap data directory and the app search those datas in [MY_DIR]\dist\library.zip\mpl_toolkits\basemap\data But I don't know how to add it at the compilation.... 2010年3月22日 Friedrich Romstedt <fri...@gm...>: > I'm not shure whether the following suggestion solves your problem, > but it would simplify your script anyway. > > import matplotlib > ... > setup(..., data_files = matplotlib.get_py2exe_datafiles()) > > And maybe don't forget to exclude 'libgdk_pixbuf-2.0-0.dll' (on my > system) in 'dll_excludes'. But I actually don't remember for what > reason I had to exclude it. > > hth, > Friedrich >
Mathes, Gary C wrote: > Installation question: > > > > The *import pylab* command reports an error. See bold below for > details. What installation step(s) am I missing? it looks like you've got GTK set as your default back-end, but are not running and X-server on this box. If you want to use MPL without a GUI, you need to set your default backend to "AGG", but you probably shouldn't use pylab for that anyway, but rather use the OO API -- some googling will tell you about that. -Chris > > > Thanks! > > > > *# uname -a* > > Linux SESB01-RE01 2.6.18-92.el5 #1 SMP Tue Jun 10 18:51:06 EDT 2008 > x86_64 x86_64 x86_64 GNU/Linux > > > > #!/usr/bin/python > > > > # File: *mp_versions.py* > > > > import matplotlib > > import numpy > > import matplotlib as mpl > > > > print "matplotlib version = " + matplotlib.__version__ > > print "matplotlib file = " + matplotlib.__file__ > > print "numpy version = " + numpy.__version__ > > print "mpl.get_configdir = " + mpl.get_configdir() > > > > *import pylab* > > > > *# mp_versions.py* > > matplotlib version = 0.99.1.1 > > matplotlib file = /usr/lib64/python2.4/site-packages/matplotlib/__init__.pyc > > numpy version = 1.2.1 > > mpl.get_configdir = /root/.matplotlib > > *Traceback (most recent call last):* > > * File "./mp_versions.py", line 12, in ?* > > * import pylab* > > * File "/usr/lib64/python2.4/site-packages/pylab.py", line 1, in ?* > > * from matplotlib.pylab import ** > > * File "/usr/lib64/python2.4/site-packages/matplotlib/pylab.py", line > 247, in ?* > > * from matplotlib.pyplot import ** > > * File "/usr/lib64/python2.4/site-packages/matplotlib/pyplot.py", line > 78, in ?* > > * new_figure_manager, draw_if_interactive, show = pylab_setup()* > > * File > "/usr/lib64/python2.4/site-packages/matplotlib/backends/__init__.py", > line 25, in pylab_setup* > > * globals(),locals(),[backend_name])* > > * File > "/usr/lib64/python2.4/site-packages/matplotlib/backends/backend_gtkagg.py", > line 10, in ?* > > * from matplotlib.backends.backend_gtk import gtk, FigureManagerGTK, > FigureCanvasGTK,\* > > * File > "/usr/lib64/python2.4/site-packages/matplotlib/backends/backend_gtk.py", > line 8, in ?* > > * import gtk; gdk = gtk.gdk* > > * File "/usr/lib64/python2.4/site-packages/gtk-2.0/gtk/__init__.py", > line 76, in ?* > > * _init()* > > * File "/usr/lib64/python2.4/site-packages/gtk-2.0/gtk/__init__.py", > line 64, in _init* > > * _gtk.init_check()* > > *RuntimeError: could not open display* > > > > # *ipython* > > Python 2.4.3 (#1, May 24 2008, 13:57:05) > > Type "copyright", "credits" or "license" for more information. > > > > IPython 0.8.4 -- An enhanced Interactive Python. > > ? -> Introduction and overview of IPython's features. > > %quickref -> Quick reference. > > help -> Python's own help system. > > object? -> Details about 'object'. ?object also works, ?? prints more. > > > > *Installation steps:* > > # rpm -ivh refblas3-3.0-11.2.x86_64.rpm lapack3-3.0-19.2.x86_64.rpm > > # rpm –ivh python-dateutil-1.2-1.el5.noarch.rpm pytz-2006p-1.el5.noarch.rpm > > # rpm -ivh python-setuptools-0.6c5-2.el5.noarch.rpm > > # rpm -ivh python-nose-0.10.4-1.el5.noarch.rpm > > # rpm -ivh atlas-3.8.3-1.el5.x86_64.rpm > > # rpm -ivh numpy-1.2.1-2.el5.x86_64.rpm > > # rpm -ivh python-matplotlib-0.99.1.2-1.el5.x86_64.rpm > > # rpm -ivh ipython-0.8.4-1.el5.noarch.rpm > > > > *Location of RPMs:* > > http://download.opensuse.org/repositories/home:/ashigabou/CentOS_5/x86_64/ > > http://www.rpmfind.net/linux/rpm2html/search.php?query=python-dateutil > > http://www.rpmfind.net/linux/RPM/epel/5/ppc/pytz-2006p-1.el5.noarch.html > > http://fr2.rpmfind.net/linux/RPM/epel/testing/5/ppc/python-nose-0.10.4-1.el5.noarch.html > > http://rpm.pbone.net/index.php3/stat/4/idpl/12391980/com/atlas-3.8.3-1.el5.x86_64.rpm.html > > http://www.rpmfind.net/linux/rpm2html/search.php?query=numpy > > http://www.rpmfind.net/linux/rpm2html/search.php?query=python-matplotlib > > http://rpm.pbone.net/index.php3/stat/4/idpl/9548551/com/ipython-0.8.4-1.el5.noarch.rpm.html > > > > > > **/Gary/** > > > > > ------------------------------------------------------------------------ > > ------------------------------------------------------------------------------ > Download Intel® 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 > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception Chr...@no...
It looks like you're using the gtk backend but you're running on a remote terminal without an X11 connection. That's what "could not open display" probably means. Are you logged in remotely by any chance? Does 'python -c "import gtk" ' work? If you want to run headless, you can use the "Agg" backend. See here: http://matplotlib.sourceforge.net/faq/installing_faq.html#what-is-a-backend Mike Mathes, Gary C wrote: > > Installation question: > > The *import pylab* command reports an error. See bold below for > details. What installation step(s) am I missing? > > Thanks! > > *# uname -a* > > Linux SESB01-RE01 2.6.18-92.el5 #1 SMP Tue Jun 10 18:51:06 EDT 2008 > x86_64 x86_64 x86_64 GNU/Linux > > #!/usr/bin/python > > # File: *mp_versions.py* > > import matplotlib > > import numpy > > import matplotlib as mpl > > print "matplotlib version = " + matplotlib.__version__ > > print "matplotlib file = " + matplotlib.__file__ > > print "numpy version = " + numpy.__version__ > > print "mpl.get_configdir = " + mpl.get_configdir() > > *import pylab* > > *# mp_versions.py* > > matplotlib version = 0.99.1.1 > > matplotlib file = > /usr/lib64/python2.4/site-packages/matplotlib/__init__.pyc > > numpy version = 1.2.1 > > mpl.get_configdir = /root/.matplotlib > > *Traceback (most recent call last):* > > * File "./mp_versions.py", line 12, in ?* > > * import pylab* > > * File "/usr/lib64/python2.4/site-packages/pylab.py", line 1, in ?* > > * from matplotlib.pylab import ** > > * File "/usr/lib64/python2.4/site-packages/matplotlib/pylab.py", line > 247, in ?* > > * from matplotlib.pyplot import ** > > * File "/usr/lib64/python2.4/site-packages/matplotlib/pyplot.py", line > 78, in ?* > > * new_figure_manager, draw_if_interactive, show = pylab_setup()* > > * File > "/usr/lib64/python2.4/site-packages/matplotlib/backends/__init__.py", > line 25, in pylab_setup* > > * globals(),locals(),[backend_name])* > > * File > "/usr/lib64/python2.4/site-packages/matplotlib/backends/backend_gtkagg.py", > line 10, in ?* > > * from matplotlib.backends.backend_gtk import gtk, FigureManagerGTK, > FigureCanvasGTK,\* > > * File > "/usr/lib64/python2.4/site-packages/matplotlib/backends/backend_gtk.py", > line 8, in ?* > > * import gtk; gdk = gtk.gdk* > > * File "/usr/lib64/python2.4/site-packages/gtk-2.0/gtk/__init__.py", > line 76, in ?* > > * _init()* > > * File "/usr/lib64/python2.4/site-packages/gtk-2.0/gtk/__init__.py", > line 64, in _init* > > * _gtk.init_check()* > > *RuntimeError: could not open display* > > # *ipython* > > Python 2.4.3 (#1, May 24 2008, 13:57:05) > > Type "copyright", "credits" or "license" for more information. > > IPython 0.8.4 -- An enhanced Interactive Python. > > ? -> Introduction and overview of IPython's features. > > %quickref -> Quick reference. > > help -> Python's own help system. > > object? -> Details about 'object'. ?object also works, ?? prints more. > > *Installation steps:* > > # rpm -ivh refblas3-3.0-11.2.x86_64.rpm lapack3-3.0-19.2.x86_64.rpm > > # rpm –ivh python-dateutil-1.2-1.el5.noarch.rpm > pytz-2006p-1.el5.noarch.rpm > > # rpm -ivh python-setuptools-0.6c5-2.el5.noarch.rpm > > # rpm -ivh python-nose-0.10.4-1.el5.noarch.rpm > > # rpm -ivh atlas-3.8.3-1.el5.x86_64.rpm > > # rpm -ivh numpy-1.2.1-2.el5.x86_64.rpm > > # rpm -ivh python-matplotlib-0.99.1.2-1.el5.x86_64.rpm > > # rpm -ivh ipython-0.8.4-1.el5.noarch.rpm > > *Location of RPMs:* > > http://download.opensuse.org/repositories/home:/ashigabou/CentOS_5/x86_64/ > > http://www.rpmfind.net/linux/rpm2html/search.php?query=python-dateutil > > http://www.rpmfind.net/linux/RPM/epel/5/ppc/pytz-2006p-1.el5.noarch.html > > http://fr2.rpmfind.net/linux/RPM/epel/testing/5/ppc/python-nose-0.10.4-1.el5.noarch.html > > http://rpm.pbone.net/index.php3/stat/4/idpl/12391980/com/atlas-3.8.3-1.el5.x86_64.rpm.html > > http://www.rpmfind.net/linux/rpm2html/search.php?query=numpy > > http://www.rpmfind.net/linux/rpm2html/search.php?query=python-matplotlib > > http://rpm.pbone.net/index.php3/stat/4/idpl/9548551/com/ipython-0.8.4-1.el5.noarch.rpm.html > > **/Gary/** > > ------------------------------------------------------------------------ > > ------------------------------------------------------------------------------ > Download Intel® 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 > Mat...@li... > 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
Installation question: The import pylab command reports an error. See bold below for details. What installation step(s) am I missing? Thanks! # uname -a Linux SESB01-RE01 2.6.18-92.el5 #1 SMP Tue Jun 10 18:51:06 EDT 2008 x86_64 x86_64 x86_64 GNU/Linux #!/usr/bin/python # File: mp_versions.py import matplotlib import numpy import matplotlib as mpl print "matplotlib version = " + matplotlib.__version__ print "matplotlib file = " + matplotlib.__file__ print "numpy version = " + numpy.__version__ print "mpl.get_configdir = " + mpl.get_configdir() import pylab # mp_versions.py matplotlib version = 0.99.1.1 matplotlib file = /usr/lib64/python2.4/site-packages/matplotlib/__init__.pyc numpy version = 1.2.1 mpl.get_configdir = /root/.matplotlib Traceback (most recent call last): File "./mp_versions.py", line 12, in ? import pylab File "/usr/lib64/python2.4/site-packages/pylab.py", line 1, in ? from matplotlib.pylab import * File "/usr/lib64/python2.4/site-packages/matplotlib/pylab.py", line 247, in ? from matplotlib.pyplot import * File "/usr/lib64/python2.4/site-packages/matplotlib/pyplot.py", line 78, in ? new_figure_manager, draw_if_interactive, show = pylab_setup() File "/usr/lib64/python2.4/site-packages/matplotlib/backends/__init__.py", line 25, in pylab_setup globals(),locals(),[backend_name]) File "/usr/lib64/python2.4/site-packages/matplotlib/backends/backend_gtkagg.py", line 10, in ? from matplotlib.backends.backend_gtk import gtk, FigureManagerGTK, FigureCanvasGTK,\ File "/usr/lib64/python2.4/site-packages/matplotlib/backends/backend_gtk.py", line 8, in ? import gtk; gdk = gtk.gdk File "/usr/lib64/python2.4/site-packages/gtk-2.0/gtk/__init__.py", line 76, in ? _init() File "/usr/lib64/python2.4/site-packages/gtk-2.0/gtk/__init__.py", line 64, in _init _gtk.init_check() RuntimeError: could not open display # ipython Python 2.4.3 (#1, May 24 2008, 13:57:05) Type "copyright", "credits" or "license" for more information. IPython 0.8.4 -- An enhanced Interactive Python. ? -> Introduction and overview of IPython's features. %quickref -> Quick reference. help -> Python's own help system. object? -> Details about 'object'. ?object also works, ?? prints more. Installation steps: # rpm -ivh refblas3-3.0-11.2.x86_64.rpm lapack3-3.0-19.2.x86_64.rpm # rpm -ivh python-dateutil-1.2-1.el5.noarch.rpm pytz-2006p-1.el5.noarch.rpm # rpm -ivh python-setuptools-0.6c5-2.el5.noarch.rpm # rpm -ivh python-nose-0.10.4-1.el5.noarch.rpm # rpm -ivh atlas-3.8.3-1.el5.x86_64.rpm # rpm -ivh numpy-1.2.1-2.el5.x86_64.rpm # rpm -ivh python-matplotlib-0.99.1.2-1.el5.x86_64.rpm # rpm -ivh ipython-0.8.4-1.el5.noarch.rpm Location of RPMs: http://download.opensuse.org/repositories/home:/ashigabou/CentOS_5/x86_64/ http://www.rpmfind.net/linux/rpm2html/search.php?query=python-dateutil http://www.rpmfind.net/linux/RPM/epel/5/ppc/pytz-2006p-1.el5.noarch.html http://fr2.rpmfind.net/linux/RPM/epel/testing/5/ppc/python-nose-0.10.4-1.el5.noarch.html http://rpm.pbone.net/index.php3/stat/4/idpl/12391980/com/atlas-3.8.3-1.el5.x86_64.rpm.html http://www.rpmfind.net/linux/rpm2html/search.php?query=numpy http://www.rpmfind.net/linux/rpm2html/search.php?query=python-matplotlib http://rpm.pbone.net/index.php3/stat/4/idpl/9548551/com/ipython-0.8.4-1.el5.noarch.rpm.html Gary
I'm not shure whether the following suggestion solves your problem, but it would simplify your script anyway. import matplotlib ... setup(..., data_files = matplotlib.get_py2exe_datafiles()) And maybe don't forget to exclude 'libgdk_pixbuf-2.0-0.dll' (on my system) in 'dll_excludes'. But I actually don't remember for what reason I had to exclude it. hth, Friedrich
On Sun, Mar 21, 2010 at 05:52:55PM -0500, Ryan May wrote: > On Sun, Mar 21, 2010 at 3:35 PM, David Carmean <dl...@ha...> wrote: [snip] > > One of the things I'm trying to figure out is whether I can build > > a graphic in "reverse order". The standard M.O. seems to be to [snip] > Certainly things like lines, collections can be added to existing axes > (and don't need one around to be created). This is actually what's > used under the hood. You *should* also be able to create an axes > object and then set its figure, but I've never personally done it. > > What you really want to look at are a lot of Axes methods: > set_figure() > add_artists() > add_collection() > add_line() I did spend a couple of hours looking at the code, and there are a few places where the child components do depend on data/methods in the parent container, even though the "child" objects can be created without the parent; I'm about 80% sure that there are no guards against calling those child methods without a parent, so it seems safer to rework my model to use the top-down approach. Perhaps I'll find some time soon to learn enough to create some unit tests that confirm/refute the above, and if true I'll file some bugs.
Hello World, I'm using py2exe to create an executable on windows . There is a setup.py file that allows me to create this executable under eclipse. I have a problem with basemap. Probably, the app needs data basemap directory but I don't know where to put it. Thanks for your help. Yagua The contents of the log file is as follows: Traceback (most recent call last) File "traitement_points.py", line 40, in <module> File "mpl_toolkits\basemap\__init__.pyc", line 774, in __init__ File "mpl_toolkits\basemap\__init__.pyc", line 848, in _readboundarydata IOError: Unable to open boundary dataset file. Only the 'crude', 'low', 'intermediate' and 'high' resolution datasets are installed by default. If you are requesting a 'full' resolution dataset, you may need to download and install those files separately (see the basemap README for details). The contents of the setup file is : from distutils.core import setup import py2exe import glob opts = { 'py2exe': { "includes" : ["sip", "PyQt4", "matplotlib.backends", "matplotlib.backends.backend_qt4agg", "matplotlib.figure","pylab", "numpy", "matplotlib.numerix.fft", "matplotlib.numerix.linear_algebra", "matplotlib.numerix.random_array", "matplotlib.backends.backend_tkagg"], 'excludes': ['_gtkagg', '_tkagg', '_agg2', '_cairo', '_cocoaagg', '_fltkagg', '_gtk', '_gtkcairo', ], 'dll_excludes': ['libgdk-win32-2.0-0.dll', 'libgobject-2.0-0.dll'] } } data_files = [(r'mpl-data', glob.glob(r'C:\Python25\Lib\site-packages\matplotlib\mpl-data\*.*')), (r'mpl-data', [r'C:\Python25\Lib\site-packages\matplotlib\mpl-data\matplotlibrc']), (r'mpl-data\images',glob.glob(r'C:\Python25\Lib\site-packages\matplotlib\mpl-data\images\*.*')), (r'mpl-data\fonts',glob.glob(r'C:\Python25\Lib\site-packages\matplotlib\mpl-data\fonts\*.*'))] setup(windows=[{"script" : "traitement_points.py", "icon_resources": [(1, "lambda.ico")]}], description="test py2exe.", version = "1.0", options=opts, data_files=data_files)
Hello, I am testing the newly added subplots function in ipython -pylab with the following code: f, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2,2, sharey=True) ax1.plot(np.random.random(20)) ax2.plot(np.random.random(20)) ax3.plot(np.random.random(20)) ax4.plot(np.random.random(20)) For some reason scaling the y-axes logaritmically works only on the focused figure canvas, the rest of the subplots are scaled in a distorted fashion. Axes labels change to proper notation but the scaling stays as if linear along with the data. See for better description: http://img408.imageshack.us/img408/7149/logscale.png Any ideas? -- Gökhan
Actually, it does not draw the polygon edges, but leaves small gaps between them. Through those gaps you can see the background. (This also happens with polar plots and other polygons by the way.) I consider this a bug, though there are ways around it. For contour plots one can plot two contourplots over each other, one with different levels (or a different number of levels) than the other. Messy, but it works. Marius. lmkli wrote: > When I use contourf to plot a filled contour map, I get some white-like lines > between each two color patches, or you can call them gaps. > This is not like the contourf doc string says: "it does not draw the > polygon edges.", actually, it does. > http://old.nabble.com/file/p27982822/contourf1.png contourf1.png > The figure above is what I get by contourf, but this is not exactlly what I > want. > > The filled contour map I want should be like this one: > http://old.nabble.com/file/p27982822/contourf2.png contourf2.png > > Any advice? > > Thank you! >
Well, to be clear. How to get tick labels at the very end of the axes? If the x-axis goes from is 0, 1 the axis ticks will be at 0.2,0.4,0.6 and 0.8 as you can here: see http://matplotlib.sourceforge.net/examples/mplot3d/2dcollections3d_demo.html How do I additionally get labels at 0 and 1? Hope this triggers a few responses. :D Thanks in advance. Martin On Sun, Mar 21, 2010 at 12:43 PM, Martin Bothe <mar...@go...>wrote: > Hello everyone, > > got a question concerning the right tick format in mplot3d. > Using the example from > http://matplotlib.sourceforge.net/plot_directive/mpl_examples/mplot3d/lines3d_demo.py with > python 2.6.4 and mpl Version: 0.99.0-1ubuntu1, I get a nice 3dplot, but the > ticks are not reaching the corners of the z-axis. > But if I ask him for the ticklabels and locations, on the terminal he gives > out what I would like to have: 9 labels from -2 to 2. > > In [3]: ax.w_zaxis.get_ticklabels > ------> ax.w_zaxis.get_ticklabels() > Out[3]: <a list of 9 Text major ticklabel objects> > > In [4]: ax.w_zaxis.get_ticklocs > ------> ax.w_zaxis.get_ticklocs() > Out[4]: array([-2. , -1.5, -1. , -0.5, 0. , 0.5, 1. , 1.5, 2. ]) > > However, in the figure (attached as png) the labels are only reaching from > -1.5 to 1.5, meaning 7 tick labels. > How to fix this? What is wrong here? > Thanks for your help. > > Greetings from Berlin > Martin >
When I use contourf to plot a filled contour map, I get some white-like lines between each color patches. This is not like the contourf doc string says: "it does not draw the polygon edges.", actually, it does. http://old.nabble.com/file/p27982822/contourf1.png contourf1.png The figure above is what I get by contourf, but this is not exactlly what I want. The filled contour map I want should be like this one: http://old.nabble.com/file/p27982822/contourf2.png contourf2.png Any advices? Thank you! -- View this message in context: http://old.nabble.com/contourf-creats-white-like-lines-%28or-gaps%29-between-each-color-patches-tp27982822p27982822.html Sent from the matplotlib - users mailing list archive at Nabble.com.