In case this is helpful: E:\>C:\Python26\python.exe ipython_show_test.py --verbose-debug $HOME=D:\ CONFIGDIR=D:\.matplotlib matplotlib data path C:\Python26\lib\site-packages\matplotlib\mpl-data loaded rc file D:\.matplotlib\matplotlibrc matplotlib version 1.0.0 verbose.level debug interactive is False units is False platform is win32 loaded modules: ['numpy.lib._iotools', 'xml.sax.urlparse', 'distutils', 'numpy.l ib.npyio', 'functools', 'pylab', '_bisect', 'subprocess', 'gc', 'matplotlib.temp file', 'distutils.sysconfig', 'ctypes._endian', 'encodings.encodings', 'matplotl ib.colors', 'msvcrt', 'numpy.testing.sys', 'numpy.core.info', 'xml', 'numpy.fft. types', 'numpy.ma.cPickle', 'matplotlib.copy', 'numpy.matrixlib.defmatrix', 'num py.random.info', 'tempfile', 'numpy.compat.types', 'base64', 'numpy.linalg', 'ma tplotlib.threading', 'numpy.core.machar', 'numpy.testing.types', 'numpy.testing' , 'bisect', 'collections', 'numpy.polynomial.sys', 'numpy.core.umath', '_struct' , 'distutils.types', 'numpy.testing.operator', 'numpy.lib.numpy', 'numpy.core.sc alarmath', 'numpy.ma.sys', 'matplotlib.matplotlib', 'string', 'matplotlib.subpro cess', 'numpy.testing.os', 'matplotlib.locale', 'numpy.lib.arraysetops', 'numpy. testing.unittest', 'numpy.lib.math', 'textwrap', 'matplotlib.__future__', 'ssl', 'numpy.testing.re', 'itertools', 'numpy.version', 'numpy.lib.re', 'distutils.re ', 'numpy.matrixlib.sys', 'ctypes.os', 'numpy.core.os', 'numpy.lib.type_check', 'numpy.compat.sys', 'numpy.lib.__builtin__', 'signal', 'numpy.lib.types', 'numpy .lib._datasource', 'random', 'threading', 'numpy.fft.fftpack_lite', 'matplotlib. cbook', 'ctypes.ctypes', 'xml.sax.xmlreader', 'numpy.polynomial.string', 'distut ils.version', 'cStringIO', 'numpy.polynomial', 'numpy.numpy', 'matplotlib.String IO', 'numpy.ma.extras', 'locale', 'numpy.add_newdocs', 'numpy.core.getlimits', ' xml.sax.saxutils', 'numpy.lib.sys', 'encodings', 'numpy.ma.itertools', 'array', 'StringIO', 'abc', 'numpy.matrixlib', 'numpy.ctypes', 'numpy.testing.decorators' , 'matplotlib.warnings', 'rfc822', 'matplotlib.string', '_subprocess', 'urllib', 'matplotlib.sys', 're', 'numpy.lib._compiled_base', 'ntpath', 'new', 'numpy.ran dom.mtrand', 'urllib2', 'matplotlib.cPickle', 'math', 'numpy.fft.helper', 'numpy .ma.warnings', 'matplotlib.numpy', 'UserDict', 'numpy.lib.function_base', 'distu tils.os', 'matplotlib', 'numpy.fft.numpy', 'xml.sax.codecs', 'exceptions', 'nump y.lib.info', 'numpy.core.numerictypes', 'ctypes', 'numpy.lib.warnings', 'ctypes. struct', 'codecs', 'numpy.core._sort', 'numpy.os', 'struct', '_functools', '_loc ale', 'numpy.__builtin__', 'matplotlib.sre_constants', 'matplotlib.os', 'thread' , 'numpy.lib.ufunclike', 'numpy.core.memmap', 'traceback', 'numpy.testing.warnin gs', 'weakref', 'numpy.core._internal', 'numpy.fft.fftpack', 'numpy.linalg.lapac k_lite', 'numpy.ma', 'distutils.sys', 'os', 'numpy.matrixlib.numpy', 'httplib', 'numpy.lib.itertools', '__future__', '_collections', 'xml.sax.types', 'matplotli b.traceback', '_sre', 'unittest', 'numpy.core.sys', 'numpy.random', 'numpy.linal g.numpy', '__builtin__', 'numpy.lib.twodim_base', 'numpy.ma.core', 'matplotlib.r e', 'numpy.core.cPickle', 'operator', 'numpy.polynomial.polytemplate', 'numpy.co re.arrayprint', 'distutils.string', 'numpy.lib.arrayterator', 'ctypes._ctypes', 'ctypes.sys', 'matplotlib.errno', 'numpy.testing.nosetester', 'posixpath', 'nump y.lib.financial', 'numpy.core.multiarray', 'errno', '_socket', 'binascii', 'sre_ constants', 'datetime', 'numpy.core.shape_base', 'xml.sax.handler', 'os.path', ' numpy.core.function_base', 'numpy.compat.py3k', '_ctypes', 'numpy.lib.stride_tri cks', 'numpy.core.numpy', 'numpy', '_warnings', 'numpy.polynomial.chebyshev', 'm atplotlib.types', 'xml.sax.os', 'cPickle', 'encodings.__builtin__', 'numpy.polyn omial.warnings', 'matplotlib.xml', 'matplotlib.new', '_codecs', 'numpy.lib.opera tor', 'numpy.polynomial.polynomial', 'encodings.cp1252', 'matplotlib.pyparsing', 'nturl2path', 'numpy.ma.numpy', 'copy', 'numpy.core.re', 'socket', 'numpy.core. fromnumeric', 'hashlib', 'numpy.ctypeslib', 'keyword', 'numpy.lib.scimath', 'num py.fft', 'numpy.lib', 'numpy.random.numpy', 'matplotlib.urllib2', 'matplotlib.ra ndom', 'numpy.polynomial.__future__', 'encodings.aliases', 'matplotlib.distutils ', 'fnmatch', 'sre_parse', 'numpy.core.ctypes', 'mimetools', 'distutils.distutil s', 'copy_reg', 'sre_compile', 'xml.sax', '_hashlib', '_random', 'numpy.lib.__fu ture__', 'site', 'numpy.lib.polynomial', 'numpy.compat', 'numpy._import_tools', 'zipimport', '__main__', 'numpy.fft.info', 'numpy.core.records', 'shutil', 'nump y.lib.cPickle', 'numpy.sys', 'matplotlib.weakref', 'xml.sax.urllib', 'numpy.core ._dotblas', 'numpy.testing.traceback', 'strop', 'numpy.testing.numpytest', 'nump y.polynomial.numpy', 'numpy.core.numeric', 'numpy.linalg.info', 'encodings.codec s', '_abcoll', 'numpy.core', 'matplotlib.rcsetup', 'matplotlib.time', 'nt', 'xml .sax._exceptions', 'genericpath', 'stat', '_ssl', 'numpy.lib.index_tricks', 'num py.testing.utils', 'warnings', 'numpy.lib.utils', 'numpy.core.defchararray', 'nu mpy.polynomial.polyutils', 'numpy.lib.shape_base', 'numpy.core.types', 'sys', 'n umpy.core.warnings', 'numpy.compat._inspect', 'numpy.core.__builtin__', 'xml.sax .sys', 'numpy.lib.format', 'numpy.lib.os', 'numpy.__config__', 'types', 'numpy.l ib.shutil', 'matplotlib.datetime', 'matplotlib.fontconfig_pattern', '_weakref', 'distutils.errors', 'urlparse', 'linecache', 'matplotlib.shutil', 'numpy.lib.cSt ringIO', 'time', 'numpy.linalg.linalg', 'numpy.testing.numpy'] Using fontManager instance from D:\.matplotlib\fontList.cache backend TkAgg version 8.5 findfont: Matching :family=serif:style=normal:variant=normal:weight=normal:stret ch=normal:size=medium to Bitstream Vera Serif (C:\Python26\lib\site-packages\mat plotlib\mpl-data\fonts\ttf\VeraSe.ttf) with score of 0.166667
IPython 0.10 In [4]: scipy.__version__ Out[4]: '0.8.0' In [5]: import numpy In [6]: numpy.__version__ Out[6]: '1.5.0b1' On Tue, Aug 10, 2010 at 10:43 PM, Ryan Krauss <ryanli...@gmail.com> wrote: > I just upgraded my windows machine to matplotlib 1.0.0 and a simple > script such as > > from pylab import * > from scipy import * > > t = arange(0,1,0.01) > y = sin(2*pi*t) > > figure(1) > clf() > plot(t,y) > > show() > > Now halts execution when run from the ipython -pylab prompt. The same > commands typed at the commandline do not lead to show() halting > execution. > > Is this expected behavior? > > Thanks, > > Ryan > ------------------------------------------------------------------------------ This SF.net email is sponsored by Make an app they can't live without Enter the BlackBerry Developer Challenge http://p.sf.net/sfu/RIM-dev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
