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Hi, Today I tried to run some code in my new notebook, but I only got blank figures and high CPU usage as a result. This code did run on my previous laptop. I can reproduce this behavior with the following code at the bottom of this message. The backtrace (also at the bottom this message) points to show() as the cause of the problem. The reason I have show() at the top is because in my code the call to plot() is done within a loop (I reuse the same figure for multiple plots). I still have to check all software versions in detail from the older laptop, but I wanted to ask here in case this was a known problem. I have ipython from git, and matplotlib 1.0, this is a 64 bit OS (Ubuntu 10.10). Matplotlib was installed from source. In the other laptop (Ubuntu 10.4, 32 bits) there's also ipython from git (although an older revision) and matplotlib 1.0 compiled from source. Regards, Jorge example code showing the problem ----8<------------------------- import numpy as np import matplotlib as mpl import matplotlib.pyplot as plt fig, ax = plt.subplots(1,1) plt.show() data = np.random.randn(10) ax.plot(data) fig.canvas.draw() ----8<------------------------- backtrace after hitting CTRL-C ----8<------------------------- In [2]: run doct/intrinsic-images/test_show.py ^C--------------------------------------------------------------------------- KeyboardInterrupt Traceback (most recent call last) /home/jscandal/sw/python/doct/intrinsic-images/test_show.py in <module>() 5 6 fig, ax = plt.subplots(1,1) ----> 7 plt.show() 8 data = np.random.randn(10) 9 ax.plot(data) /home/jscandal/lib/python2.6/site-packages/matplotlib/backends/backend_gtk.pyc in show(mainloop) 76 if mainloop and gtk.main_level() == 0 and \ 77 len(Gcf.get_all_fig_managers())>0: ---> 78 gtk.main() 79 80 def new_figure_manager(num, *args, **kwargs): KeyboardInterrupt:
Dear all, I am trying to add a rectangle in a basemap map that reside in a inlined axis. I am basing this exercise on the following code: (from http://old.nabble.com/display-a-filled-lat-lon-basemap-rectangle.-td28169736.html) from matplotlib.patches import Polygon import matplotlib.pyplot as plt from mpl_toolkits.basemap import Basemap map = Basemap(projection='moll',lon_0=0) x1,y1 = map(-10,-10) x2,y2 = map(-10,10) x3,y3 = map(10,10) x4,y4 = map(10,-10) p = Polygon([(x1,y1),(x2,y2),(x3,y3),(x4,y4)],facecolor='red',edgecolor='blue',linewidth=2) plt.gca().add_patch(p) map.drawcoastlines() map.drawmapboundary() I can change the last part to: ax1 = plt.subplot(111) ax1.add_patch(p) map.ax = ax1 map.drawcoastlines() map.drawmapboundary() Which works fine. What I want is to create an extra axis for the map: ax1 = plt.subplot(111) ax2 = plt.axes([0.13,0.07,0.25,0.25]) ax2.add_patch(p) map.ax = ax2 map.drawcoastlines() map.drawmapboundary() The map is drawn correctly, but the patch doesn't show up. What am I doing wrong? Thanks for any help!!! :-)Bror
Benjamin, You were right, the error was being cause because this '^' .. problem solved. Thank you very much On Tue, Oct 5, 2010 at 11:38 AM, Benjamin Root <ben...@ou...> wrote: > On Tue, Oct 5, 2010 at 7:25 AM, Waléria Antunes David < > wal...@gm...> wrote: > >> Benjamin, >> >> I tried this: x, y, yerr = np.loadtxt(r'C:\date1.dat', unpack=True) >> >> but the error continue: http://pastebin.com/UwgKS3s5 >> >> Thanks, >> Waleria. >> >> >> On Mon, Oct 4, 2010 at 4:58 PM, Benjamin Root <ben...@ou...> wrote: >> >>> On Mon, Oct 4, 2010 at 1:57 PM, Waléria Antunes David < >>> wal...@gm...> wrote: >>> >>>> Hi all, >>>> >>>> My problem is this error: http://pastebin.com/bfu29WuF<http://pastebin.com/ZPzdC5c8> >>>> >>>> my code: http://pastebin.com/KzwEmucN >>>> >>>> What could be? >>>> >>>> Thanks >>>> Waleria >>>> >>> > Waleria, > > Good! There is progress. The error indicates that the processing > successfully loaded the data and that it fails when it tries to save the > figure. Specifically, it is failing to produce the LaTeX-like labels you > have made. Looking closer, I see that the carot symbol '^' that you are > using to get a superscript is a unicode carot symbol, not an ASCII one. > This causes the formatting parsing to fail. You need to use the ASCII > symbol ^ to make it work properly. > > I hope that helps. > > Ben Root > >
Excellent ! Thank you for the future fix! Will this release make it before the next EPD release? Matthieu 2010年10月4日 Michael Droettboom <md...@st...>: > There is a fix for this in SVN in r8712 that will make it into the next > release. > > In the meantime, as a workaround, you can safely delete the font cache > file in > > ~/.matplotlib/fontList.cache > > Mike > > On 10/04/2010 08:44 AM, Matthieu Brucher wrote: >> Hello, >> >> I ahve several installation of matplotlib on several computers with >> different OS but the same HOME directory. >> Matplotlib caches a lot of stuff in ~/.matplotlib, like fonts, but >> they are not located in the same folder in different computers I use. >> The issue is that the cache makes matplotlib raise an exception at >> import time. Would it be possible not to use the cache if the fonts >> mentioned int he cache are not available? >> >> Matthieu >> > > > -- > Michael Droettboom > Science Software Branch > Space Telescope Science Institute > Baltimore, Maryland, USA > > > ------------------------------------------------------------------------------ > Virtualization is moving to the mainstream and overtaking non-virtualized > environment for deploying applications. Does it make network security > easier or more difficult to achieve? Read this whitepaper to separate the > two and get a better understanding. > http://p.sf.net/sfu/hp-phase2-d2d > _______________________________________________ > Matplotlib-users mailing list > Mat...@li... > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > -- Information System Engineer, Ph.D. Blog: http://matt.eifelle.com LinkedIn: http://www.linkedin.com/in/matthieubrucher
On Tue, Oct 5, 2010 at 6:48 AM, Ensitof <ens...@gm...> wrote: > > Dear all, > > Please find here a really really stupid script for example purpose.. > > I was developping some Image processing steps using matplotlib 0.99 and > everything worked find... However, I upgraded my tools yesterday, and > installed the 1.0.0 version. > > The "imshow" still work fine and gives me the expected figure. BUT the same > matrix saved in a png file via the "imsave" method is leading to surprising > results... Looks like the colums and lines are shifted when the png is > beeing filled. (Clearly visible when comparing the result of imshow and > opening the produced "test.png" file). > > Am I missing something stupid? Did something change between v0.99 and > v.1.00? I don't think so by looking the doc... > > ----------------------------------------- > import numpy as np > import matplotlib.pyplot as plt > > > test=np.array([[0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,3],[0,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3]]) > plt.figure() > plt.imshow(test) > > plt.imsave("test.png",test) > ------------------------------------------ > Thanks a lot for your help, this is really a problem for my application. > > Christophe > Christophe, I do recall an off-by-one-pixel error being fixed at some point, but I don't remember if that was before or after the version 1.0 release. Have you tried the latest matplotlib from SVN to see if the problem still persists? Ben Root
On Mon, Oct 4, 2010 at 10:46 AM, Ademir Francisco da Silva <Ade...@in...> wrote: > Hi John ..., I hope everything goes well ... > > ( This message is only for you ... ) > > I have decided to wrote this email to know if you have been working in " > widget module " ..., as you know by 2 months ago I asked you about this and > nothing happend since it yet. I have got the latest version of the > matplotlib and numpy directly of the Christoph's site and after installed > all of them my insight about it is that nothing changed, so I kindly ask you > about your advance in resolve those problems. Just see my last 4 emails sent > to you and matplotlib list. > > Summary ... > ( snippet of my original code - Before they work fine but now the " cursor " > just disappear and the " on_clicked " is not works ) > widgets.Cursor( axe, useblit = True, color = self.cor[ 477 ][ 1 ], lw = 2 ) > widgets.Button( pyplot.axes( [ .91, .1, .08, .06 ] ), self.textName[ 19 ], > color = self.cor[ 403 ][ 1 ], hovercolor = self.cor[ 46 ][ 1 ] > ).\ > on_clicked( lambda: pyplot.close( "all" ) ) There is a recent fix in matplotlib svn that fixes the bug you may be seeing. Specifically, if you do not save the names of the widgets you are creating, the callbacks can disappear. So you will want to do something like mycursor = widgets.Cursor( axe, useblit = True, color = self.cor[ 477 ][ 1 ], lw = 2 ) mybutton = widgets.Button( pyplot.axes( [ .91, .1, .08, .06 ] ), self.textName[ 19 ], ...) Basically, if the names of the classes go out of scope, they are garbage collected because we are using weak references internally to make sure callbacks get cleaned up when they go out of scope. So if you are creating these variables and module level, make sure they are names with a local variable, and if you are creating them at the class level, make sure they are saved as an instance variable. JDH
On Tue, Oct 5, 2010 at 7:25 AM, Waléria Antunes David < wal...@gm...> wrote: > Benjamin, > > I tried this: x, y, yerr = np.loadtxt(r'C:\date1.dat', unpack=True) > > but the error continue: http://pastebin.com/UwgKS3s5 > > Thanks, > Waleria. > > > On Mon, Oct 4, 2010 at 4:58 PM, Benjamin Root <ben...@ou...> wrote: > >> On Mon, Oct 4, 2010 at 1:57 PM, Waléria Antunes David < >> wal...@gm...> wrote: >> >>> Hi all, >>> >>> My problem is this error: http://pastebin.com/bfu29WuF<http://pastebin.com/ZPzdC5c8> >>> >>> my code: http://pastebin.com/KzwEmucN >>> >>> What could be? >>> >>> Thanks >>> Waleria >>> >> Waleria, Good! There is progress. The error indicates that the processing successfully loaded the data and that it fails when it tries to save the figure. Specifically, it is failing to produce the LaTeX-like labels you have made. Looking closer, I see that the carot symbol '^' that you are using to get a superscript is a unicode carot symbol, not an ASCII one. This causes the formatting parsing to fail. You need to use the ASCII symbol ^ to make it work properly. I hope that helps. Ben Root
Hi, I am using EPD 6.2 (32 bit) on a mac. I would like to use subplot grids (matplotlib.gridspec) which seems to require mpl 1.0.0. Is there anyway to install this and use it with EPD? So far I have tried everything from the installation guide, but whatever I do I get a bus error in ft2font. I can't get the wx backend to show up in the config stage (although wx is installed in EPD). I have tried building it myself, with the make.osx script, and with the EPD guide on the installation page, both with gcc 4.0 and gcc 4.2 but everything gives the same bus error. I'm actually not sure what compiler is used for EPD so perhaps that is the problem. Alternatively, is there a way to pick out the subplot grid features and use them with the epd matplotlib? If anyone is interested this is the error I get: Exception Type: EXC_BAD_ACCESS (SIGBUS) Exception Codes: KERN_PROTECTION_FAILURE at 0x0000000000000000 Crashed Thread: 0 Dispatch queue: com.apple.main-thread Thread 0 Crashed: Dispatch queue: com.apple.main-thread 0 ??? 0000000000 0 + 0 1 libSystem.B.dylib 0x96f31108 _Unwind_GetLanguageSpecificData + 24 2 libstdc++.6.dylib 0x97166d86 __gxx_personality_v0 + 120 3 libgcc_s.1.dylib 0x0040b476 _Unwind_RaiseException_Phase2 + 102 (unwind.inc:68) 4 libgcc_s.1.dylib 0x0040b890 _Unwind_Resume + 112 (unwind.inc:238) 5 ft2font.so 0x04501a98 FT2Font::FT2Font(std::string) + 4776 (ExtensionOldType.hxx:88) 6 ft2font.so 0x04501fd3 ft2font_module::new_ft2font(Py::Tuple const&) + 515 (ft2font.cpp:1969) 7 ft2font.so 0x045041b6 Py::ExtensionModule<ft2font_module>::invoke_method_varargs(void*, Py::Tuple const&) + 102 (ExtensionModule.hxx:184) 8 ft2font.so 0x0450db87 method_varargs_call_handler + 343 9 org.python.python 0x000cbfd5 PyEval_EvalFrameEx + 19429 10 org.python.python 0x000ce14d PyEval_EvalCodeEx + 2109 11 org.python.python 0x000cc1bc PyEval_EvalFrameEx + 19916 12 org.python.python 0x000ce14d PyEval_EvalCodeEx + 2109 13 org.python.python 0x0004b136 function_call + 166 14 org.python.python 0x00019b05 PyObject_Call + 85 15 org.python.python 0x0002c0e6 instancemethod_call + 422 16 org.python.python 0x00019b05 PyObject_Call + 85 17 org.python.python 0x000c642e PyEval_CallObjectWithKeywords + 78 18 org.python.python 0x0002efb2 PyInstance_New + 114 19 org.python.python 0x00019b05 PyObject_Call + 85 20 org.python.python 0x000ca927 PyEval_EvalFrameEx + 13623 21 org.python.python 0x000cc956 PyEval_EvalFrameEx + 21862 22 org.python.python 0x000ce14d PyEval_EvalCodeEx + 2109 23 org.python.python 0x000ce2d7 PyEval_EvalCode + 87 24 org.python.python 0x000e5a3c PyImport_ExecCodeModuleEx + 188 25 org.python.python 0x000e66dc load_source_module + 540 26 org.python.python 0x000e72fd import_submodule + 301 27 org.python.python 0x000e7559 load_next + 201 28 org.python.python 0x000e7f53 PyImport_ImportModuleLevel + 419 29 org.python.python 0x000c09bf builtin___import__ + 159 30 org.python.python 0x00019b05 PyObject_Call + 85 31 org.python.python 0x000c642e PyEval_CallObjectWithKeywords + 78 32 org.python.python 0x000c99c0 PyEval_EvalFrameEx + 9680 33 org.python.python 0x000ce14d PyEval_EvalCodeEx + 2109 34 org.python.python 0x000ce2d7 PyEval_EvalCode + 87 35 org.python.python 0x000e5a3c PyImport_ExecCodeModuleEx + 188 36 org.python.python 0x000e66dc load_source_module + 540 37 org.python.python 0x000e72fd import_submodule + 301 38 org.python.python 0x000e78a7 ensure_fromlist + 439 39 org.python.python 0x000e833d PyImport_ImportModuleLevel + 1421 40 org.python.python 0x000c09bf builtin___import__ + 159 41 org.python.python 0x00019b05 PyObject_Call + 85 42 org.python.python 0x000c642e PyEval_CallObjectWithKeywords + 78 43 org.python.python 0x000c99c0 PyEval_EvalFrameEx + 9680 44 org.python.python 0x000ce14d PyEval_EvalCodeEx + 2109 45 org.python.python 0x000ce2d7 PyEval_EvalCode + 87 46 org.python.python 0x000e5a3c PyImport_ExecCodeModuleEx + 188 47 org.python.python 0x000e66dc load_source_module + 540 48 org.python.python 0x000e72fd import_submodule + 301 49 org.python.python 0x000e78a7 ensure_fromlist + 439 50 org.python.python 0x000e833d PyImport_ImportModuleLevel + 1421 51 org.python.python 0x000c09bf builtin___import__ + 159 52 org.python.python 0x00019b05 PyObject_Call + 85 53 org.python.python 0x000c642e PyEval_CallObjectWithKeywords + 78 54 org.python.python 0x000c99c0 PyEval_EvalFrameEx + 9680 55 org.python.python 0x000ce14d PyEval_EvalCodeEx + 2109 56 org.python.python 0x000ce2d7 PyEval_EvalCode + 87 57 org.python.python 0x000e5a3c PyImport_ExecCodeModuleEx + 188 58 org.python.python 0x000e66dc load_source_module + 540 59 org.python.python 0x000e72fd import_submodule + 301 60 org.python.python 0x000e7559 load_next + 201 61 org.python.python 0x000e7f53 PyImport_ImportModuleLevel + 419 62 org.python.python 0x000c09bf builtin___import__ + 159 63 org.python.python 0x00019b05 PyObject_Call + 85 64 org.python.python 0x000c642e PyEval_CallObjectWithKeywords + 78 65 org.python.python 0x000c99c0 PyEval_EvalFrameEx + 9680 66 org.python.python 0x000ce14d PyEval_EvalCodeEx + 2109 67 org.python.python 0x000cc1bc PyEval_EvalFrameEx + 19916 68 org.python.python 0x000ce14d PyEval_EvalCodeEx + 2109 69 org.python.python 0x0004b136 function_call + 166 70 org.python.python 0x00019b05 PyObject_Call + 85 71 org.python.python 0x0002c0e6 instancemethod_call + 422 72 org.python.python 0x00019b05 PyObject_Call + 85 73 org.python.python 0x000812c7 slot_tp_init + 87 74 org.python.python 0x0007fcf0 type_call + 176 75 org.python.python 0x00019b05 PyObject_Call + 85 76 org.python.python 0x000c9d9c PyEval_EvalFrameEx + 10668 77 org.python.python 0x000ce14d PyEval_EvalCodeEx + 2109 78 org.python.python 0x000cc1bc PyEval_EvalFrameEx + 19916 79 org.python.python 0x000ce14d PyEval_EvalCodeEx + 2109 80 org.python.python 0x0004b136 function_call + 166 81 org.python.python 0x00019b05 PyObject_Call + 85 82 org.python.python 0x0002c0e6 instancemethod_call + 422 83 org.python.python 0x00019b05 PyObject_Call + 85 84 org.python.python 0x000ca927 PyEval_EvalFrameEx + 13623 85 org.python.python 0x000ce14d PyEval_EvalCodeEx + 2109 86 org.python.python 0x0004b136 function_call + 166 87 org.python.python 0x00019b05 PyObject_Call + 85 88 org.python.python 0x0002c0e6 instancemethod_call + 422 89 org.python.python 0x00019b05 PyObject_Call + 85 90 org.python.python 0x000c642e PyEval_CallObjectWithKeywords + 78 91 org.python.python 0x0002efb2 PyInstance_New + 114 92 org.python.python 0x00019b05 PyObject_Call + 85 93 org.python.python 0x000ca927 PyEval_EvalFrameEx + 13623 94 org.python.python 0x000ce14d PyEval_EvalCodeEx + 2109 95 org.python.python 0x000cc1bc PyEval_EvalFrameEx + 19916 96 org.python.python 0x000ce14d PyEval_EvalCodeEx + 2109 97 org.python.python 0x000cc1bc PyEval_EvalFrameEx + 19916 98 org.python.python 0x000ce14d PyEval_EvalCodeEx + 2109 99 org.python.python 0x000cc1bc PyEval_EvalFrameEx + 19916 100 org.python.python 0x000ce14d PyEval_EvalCodeEx + 2109 101 org.python.python 0x000ce2d7 PyEval_EvalCode + 87 102 org.python.python 0x000f3068 PyRun_FileExFlags + 168 103 org.python.python 0x000f3ff3 PyRun_SimpleFileExFlags + 867 104 org.python.python 0x00105b9b Py_Main + 3371 105 org.python.python 0x00001fb6 0x1000 + 4022 Cheers Robin
Hi, I'm trying to make a scatter plot of 2 variables using a thirds as filter to have different colors. Let's say I have those data: x=1,2,3,4 y=2,3,4,5 z=0,1,0,1 Then I want the values of x and y corresponding to those of z=0 to be of a color and those corresponding to z=1 to be of another color. This is the code I manage to do until know: import xlrd import numpy as np import matplotlib.pyplot as plt wb = xlrd.open_workbook('GBL2009.xls') sh = wb.sheet_by_index(0) def column_pos(): first_row=sh.row_values(0) net_p="" for i in first_row: if i=='net_price': net_p=first_row.index(i) #In gets the column position for i in first_row: if i=='material': mat_p=first_row.index(i) #In gets the column position for i in first_row: if i=='qty': qty_p=first_row.index(i) #In gets the column position print net_p, mat_p, qty_p #filtering(net_p, mat_p, qty_p) test(net_p, mat_p, qty_p) def test(net_p, mat_p, qty_p): list=[] for rownum in range(sh.nrows): if sh.cell(rownum,mat_p).value in (96433890, 96433886): list.append(sh.row_values(rownum)) x=[] y=[] z=[] for i in list: x.append(i[qty_p]) y.append(i[net_p]) z.append(i[mat_p]) fig = plt.figure(1, figsize=(5.5,5.5)) axScatter = plt.subplot(111) colors = ('r', 'g', 'b', 'k') for c in colors: axScatter.scatter(x, y, c=c, marker='s') plt.show() -- View this message in context: http://old.nabble.com/Scatter-Plot-with-different-colors-tp29887701p29887701.html Sent from the matplotlib - users mailing list archive at Nabble.com.
Benjamin, I tried this: x, y, yerr = np.loadtxt(r'C:\date1.dat', unpack=True) but the error continue: http://pastebin.com/UwgKS3s5 Thanks, Waleria. On Mon, Oct 4, 2010 at 4:58 PM, Benjamin Root <ben...@ou...> wrote: > On Mon, Oct 4, 2010 at 1:57 PM, Waléria Antunes David < > wal...@gm...> wrote: > >> Hi all, >> >> My problem is this error: http://pastebin.com/bfu29WuF<http://pastebin.com/ZPzdC5c8> >> >> my code: http://pastebin.com/KzwEmucN >> >> What could be? >> >> Thanks >> Waleria >> > > Waleria, > > I am not entirely familiar with programming python in a Windows > environment, however, you are attempting to open files with the name: > 'C:\date1.dat'. The backslash is probably acting as an escape character and > causing the filename to be interpreted differently from how you expect. Try > this: > > x, y, yerr = np.loadtxt(r'C:\date1.dat', unpack=True) > > The 'r' before the string forces python to not interpret any special > characters in a special way. Also note that I simplified your data loading > code with the use of the 'unpack=True' keyword argument. > > I hope this helps, > Ben Root > >
Dear all, Please find here a really really stupid script for example purpose.. I was developping some Image processing steps using matplotlib 0.99 and everything worked find... However, I upgraded my tools yesterday, and installed the 1.0.0 version. The "imshow" still work fine and gives me the expected figure. BUT the same matrix saved in a png file via the "imsave" method is leading to surprising results... Looks like the colums and lines are shifted when the png is beeing filled. (Clearly visible when comparing the result of imshow and opening the produced "test.png" file). Am I missing something stupid? Did something change between v0.99 and v.1.00? I don't think so by looking the doc... ----------------------------------------- import numpy as np import matplotlib.pyplot as plt test=np.array([[0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,3],[0,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3]]) plt.figure() plt.imshow(test) plt.imsave("test.png",test) ------------------------------------------ Thanks a lot for your help, this is really a problem for my application. Christophe -- View this message in context: http://old.nabble.com/Problem-with-imsave-in-matplotlib-v1.0-tp29886608p29886608.html Sent from the matplotlib - users mailing list archive at Nabble.com.
The gcc-4.0/4.2 issue was the key to the problem. I did this and matplotlib got installed without any issue, and I could import pyplot ok. * First I set 'export CC=gcc-4.0' * In the same terminal I ran the usual configure/make/make install for libpng and freetype * I then rebuilt matplotlib the usual way (python setup.py build, sudo python setup.py install) Before rebuilding matplotlib I edited setupext.py the 'darwin' line in the basedir declaration accordingly: 'darwin' : [], to 'darwin' : ['/usr/local'], I don't know if that was necessary but I did it anyway. Thanks for the help Friedrich. I did actually see that matplotlib was compiled with gcc-4.0, but it never occured to me that libpng / freetype should use the same compiler. On Tue, Oct 5, 2010 at 3:46 AM, Friedrich Romstedt < fri...@gm...> wrote: > Yaaa, this was some time ago, I guess you did the following: > > * export CC=gcc-4.2 > * export MACOSX_DEPLOYMENT_TARGET=.... > * maybe also modifying the setupext.py > > I must say, that Python distutils (or distribute, whatever you use) > overrides the CC environment variable with the gcc version Python was > compiled with. If you use python.org Python, this will be gcc-4.0. > Could be that this is your issue: You compiled freetype with gcc-4.2 > and Python uses gcc-4.0 for compiling matplotlib. Then the matplotlib > libraries cannot load the gcc-4.2 compiled ones, because they are "too > new". Encountered this several times on my own computer. > > Notice that the setupext.py instructions are still valid. The > _png.cpp instructions are obsolete for recent versions of matplotlib, > you can use libpng-1.4 right away. > > First, I'll wait for your response if you use python.org Python, and > then we see what to do next. Don't want to bombard you with > non-applicable recommendations. > > Concerning your message: > > 2010年10月3日 Åke Kullenberg <ake...@gm...>: > > I just installed matplotlib-1.0.0 on my system (Snow Leopard, python > 2.7), > > but somehow when I try to import pyplot i get the error below. > > For reference, I installed matplotlib from source. Prior to that I > installed > > libpng-1.4.4 and freetype-2.4.2 the usual way (./configure, make, make > > install) plus I installed pkgcong as well. After getting the error I > tried > > the tips Friedrich R gave in this thread > > (http://old.nabble.com/Symbol-not-found-td28994434.html) too, but I > still > > get the error. > > Notice, I'm using Python 2.6, I hope this won't be an issue. Using > Snow Leopard as well. > > > From a few google attempts it seems that it is an issue of dynamic vs > static > > linking. I can't say that I know what that is, but I'd be very interested > in > > knowing whether I can do anything from my side to sort things out. > > Hmm, here maybe you also ran across what I said, just to add that > afaict make.osx isn't doing static linking, but rather linking against > newly-installed shared libs. The libs are compiled just by the > make.osx script. Got this impression when I had an own look into the > script. > > > Here is the error: > > from matplotlib import ft2font > > ImportError: > > > dlopen(/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/ft2font.so, > > 2): Symbol not found: _FT_Attach_File > > Referenced from: > > > /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/matplotlib/ft2font.so > > Expected in: dynamic lookup > > Yeah, this looks pretty much like what I said. > > Sorry for the confusion with the old threads, I think best will be to > search the matplotlib archive for recent threads, my replies got > better with time, as I sorted out things myself. I really feel I > should write things up for the matplotlib page as far as I came so far > with my investigations ... And please reply back. > > If the external libraries you're using change: Do a new build in a > new, freshly untared matplotlib directory or sth like that. I found > that, for some reason, it is necessary to really rebuild the > matplotlib libraries when a shared library they load is changed. It > is not sufficient to just replace the external shared library (like > freetype2) to make it work. My knowledge in linking is not as deep as > that I could explain the guts why this is so, but you have to do it (I > had to at least). Keep in mind that dependency checks do not include > the shared libs matplotlib libraries like ft2font rely on. I can only > guess that it only applies to the gcc-4.0/4.2 issue. Otherwise shared > libs would be nearly useless. > > Friedrich >
2010年10月5日 Friedrich Romstedt <fri...@gm...>: >> basedirlist is: [] > > Here is your issue. Please check the archives of the matplotlib-users > list for the recent threads on compiling and Mac OS X (10.6 in > particular). I assumed that you have freetype2 etc. installed with headers (not the shared libs only). This is necessary since matplotlib compilation depends on them.
2010年10月4日 Sanjay Kairam <san...@gm...>: > Hi there, > > I'm having a problem installing matplotlib, I'm guessing that I am missing > some dependency, but I am having trouble figuring out what the issue is (I > don't have a ton of experience dealing with python libraries and > troubleshooting install issues). > > I'm using Mac OSX 10.6.4 (Snow Leopard) > I'm trying to install matplotlib 1.0.0, which I downloaded as a tar.gz file > from the website. > > So, hopefully this won't be too annoying, but here is the full output from > when I try to install the library - it is very possible that I am doing > something really stupid, so please be nice! *Thanks so much* for any help > that anyone can provide. > > Terminal Output: > dnab434de2:matplotlib-1.0.0 skairam$ python setup.py install > basedirlist is: [] Here is your issue. Please check the archives of the matplotlib-users list for the recent threads on compiling and Mac OS X (10.6 in particular). The thing is that the current distribution of matplotlib doesn't include the library pathes on Max OS X, but it can be fixed with a simple edit in setupext.py in the matplotlib/ directory. This is where you issue $python setup.py build. You can try macports or similar, when you're not experienced with building it's maybe more fast, but building freetype2 and libpng-1.4 is afaict quite straightforward. I have no experience with macports, but the include directory should be '/opt' instead of '/usr/local' in that case I believe. Sometimes people have problems with architectures missing in the macports libraries. There may be issues with compiler compatibility with the macports libraries too, since Python is compiling gcc-4.0. If they are compiled gcc-4.2, they will fail to load into matplotlib's ft2font Python extension. There is unfortunately no way to tell with what compiler a lib was built without having the logs available. You can in that case recompile Python with gcc-4.2, your numpy should still be loadable then, or you compile freetype2 and libpng-1.4 with gcc-4.0 manually. Please tell about your next steps on the list (push the "answer to all" button ... :-) I see you did not set MACOSX_DEPLOYMENT_TARGET. Use $export MACOSX_DEPLOYMENT_TARGET=10.5 or 10.6 even. If you are not planning to deploy Python .apps or similar to other systems you can safely use 10.6 as the value. Not specifying any value defaults to 10.3 or sth like that, very early, and you get a lot of warnings. Ahh, another options to circumvent the edit of setupext.py, maybe a quite good option, may be to install pkg-config. This litte program helps finding libraries. But I have no experience with it. > REQUIRED DEPENDENCIES > numpy: 1.5.0 > freetype2: found, but unknown version (no pkg-config) > * WARNING: Could not find 'freetype2' headers in any > * of '.', './freetype2'. Here you see that the libraries aren't found. > gcc-4.0 -fno-strict-aliasing -fno-common -dynamic -arch ppc -arch i386 -g > -O2 -DNDEBUG -g -O3 -DPY_ARRAY_UNIQUE_SYMBOL=MPL_ARRAY_API > -DPYCXX_ISO_CPP_LIB=1 > -I/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/numpy/core/include > -I. > -I/Library/Frameworks/Python.framework/Versions/2.6/lib/python2.6/site-packages/numpy/core/include/freetype2 > -I./freetype2 > -I/Library/Frameworks/Python.framework/Versions/2.6/include/python2.6 -c > src/ft2font.cpp -o build/temp.macosx-10.3-fat-2.6/src/ft2font.o > In file included from /usr/include/architecture/i386/math.h:626, > from /usr/include/math.h:28, > from > /Library/Frameworks/Python.framework/Versions/2.6/include/python2.6/pyport.h:235, > from > /Library/Frameworks/Python.framework/Versions/2.6/include/python2.6/Python.h:58, > from ./CXX/WrapPython.h:61, > from ./CXX/Extensions.hxx:37, > from src/ft2font.h:4, > from src/ft2font.cpp:1: > /usr/include/AvailabilityMacros.h:108:14: warning: #warning Building for > Intel with Mac OS X Deployment Target < 10.4 is invalid. This kind of things occur without MACOSX_DEPLOYMENT_TARGET set. > In file included from src/ft2font.cpp:1: > src/ft2font.h:14:22: error: ft2build.h: No such file or directory This is the error where all the other errors arise from. The rest is just the compiler's way of bailing out ;-) Friedrich