On 6/28/06, Géza Groma <[EMAIL PROTECTED]> wrote: > Using Matplotlib 0.87.3 (wxAgg backend), NumPy 0.9.8, SciPy 0.4.9, > wxPython unicode.2.6.3.2, python 2.4.3 the following setup.py worked > well with py2exe 0.6.5 on Widows XP: >
I followed your example, and had some luck. Thanks. My final distribution is 47MB in 840 files. Does anyone have an example that does even better? Last October, I used numarray + matplotlib in an almost identical project, and managed to bundle it into 11MB and four files. But I can't remember exactly the combination that I used. If I try to use a zip file (comment out the skip_archive) to reduce size and filecount, I get the error: File "matplotlib\backends\backend_wxagg.pyc", line 21, in ? File "matplotlib\figure.pyc", line 5, in ? File "matplotlib\artist.pyc", line 4, in ? File "matplotlib\transforms.pyc", line 215, in ? File "matplotlib\_transforms.pyc", line 1, in ? File "matplotlib\numerix\__init__.pyc", line 52, in ? File "numarray\__init__.pyc", line 42, in ? File "numarray\numarrayall.pyc", line 2, in ? File "numarray\generic.pyc", line 1120, in ? File "numarray\numarraycore.pyc", line 16, in ? File "numarray\_sort.pyc", line 12, in ? File "numarray\_sort.pyc", line 10, in __load File "numpy\__init__.pyc", line 35, in ? File "numpy\_import_tools.pyc", line 173, in __call__ File "numpy\_import_tools.pyc", line 68, in _init_info_modules File "<string>", line 1, in ? File "numpy\random\__init__.pyc", line 3, in ? File "numpy\random\mtrand.pyc", line 12, in ? File "numpy\random\mtrand.pyc", line 10, in __load File "numpy.pxi", line 32, in mtrand AttributeError: 'module' object has no attribute 'dtype' and even in the working example where I do skip_archive, I get the warnings: The following modules appear to be missing ['FFT', 'LinearAlgebra', 'MA', 'MLab', 'Matrix', 'Numeric', 'Pyrex', 'Pyrex.Comp iler', 'RandomArray', 'backends.draw_if_interactive', 'backends.new_figure_manag er', 'backends.pylab_setup', 'backends.show', 'cephes', 'fcompiler.FCompiler', ' fcompiler.show_fcompilers', 'genapi', 'lib.add_newdoc', 'numerix.ArrayType', 'nu merix.Complex', 'numerix.Complex32', 'numerix.Complex64', 'numerix.Float', 'nume rix.Float32', 'numerix.Float64', 'numerix.Int', 'numerix.Int16', 'numerix.Int32' , 'numerix.Int8', 'numerix.NewAxis', 'numerix.UInt16', 'numerix.UInt32', 'numeri x.UInt8', 'numerix.absolute', 'numerix.add', 'numerix.allclose', 'numerix.alltru e', 'numerix.arange', 'numerix.arccos', 'numerix.arccosh', 'numerix.arcsin', 'nu merix.arcsinh', 'numerix.arctan', 'numerix.arctan2', 'numerix.arctanh', 'numerix .argmax', 'numerix.argmin', 'numerix.argsort', 'numerix.around', 'numerix.array' , 'numerix.arrayrange', 'numerix.asarray', 'numerix.asum', 'numerix.bitwise_and' , 'numerix.bitwise_or', 'numerix.bitwise_xor', 'numerix.ceil', 'numerix.choose', 'numerix.clip', 'numerix.compress', 'numerix.concatenate', 'numerix.conjugate', 'numerix.convolve', 'numerix.cos', 'numerix.cosh', 'numerix.cross_correlate', ' numerix.cumproduct', 'numerix.cumsum', 'numerix.diagonal', 'numerix.divide', 'nu merix.dot', 'numerix.equal', 'numerix.exp', 'numerix.fabs', 'numerix.fft.fft', ' numerix.fft.inverse_fft', 'numerix.floor', 'numerix.fmod', 'numerix.fromfunction ', 'numerix.fromstring', 'numerix.greater', 'numerix.greater_equal', 'numerix.hy pot', 'numerix.identity', 'numerix.indices', 'numerix.innerproduct', 'numerix.is contiguous', 'numerix.less', 'numerix.less_equal', 'numerix.log', 'numerix.log10 ', 'numerix.logical_and', 'numerix.logical_not', 'numerix.logical_or', 'numerix. logical_xor', 'numerix.matrixmultiply', 'numerix.maximum', 'numerix.minimum', 'n umerix.mlab.amax', 'numerix.mlab.amin', 'numerix.mlab.cov', 'numerix.mlab.diff', 'numerix.mlab.hanning', 'numerix.mlab.rand', 'numerix.mlab.std', 'numerix.mlab. svd', 'numerix.multiply', 'numerix.negative', 'numerix.nonzero', 'numerix.not_eq ual', 'numerix.nx', 'numerix.ones', 'numerix.outerproduct', 'numerix.pi', 'numer ix.power', 'numerix.product', 'numerix.put', 'numerix.putmask', 'numerix.rank', 'numerix.ravel', 'numerix.repeat', 'numerix.reshape', 'numerix.resize', 'numerix .searchsorted', 'numerix.shape', 'numerix.sin', 'numerix.sinh', 'numerix.size', 'numerix.sometrue', 'numerix.sort', 'numerix.sqrt', 'numerix.subtract', 'numerix .swapaxes', 'numerix.take', 'numerix.tan', 'numerix.tanh', 'numerix.trace', 'num erix.transpose', 'numerix.typecode', 'numerix.typecodes', 'numerix.where', 'nume rix.which', 'numerix.zeros', 'numpy.Complex', 'numpy.Complex32', 'numpy.Complex6 4', 'numpy.Float', 'numpy.Float32', 'numpy.Float64', 'numpy.Inf', 'numpy.Infinit y', 'numpy.Int', 'numpy.Int16', 'numpy.Int32', 'numpy.Int8', 'numpy.UInt16', 'nu mpy.UInt32', 'numpy.UInt8', 'numpy.absolute', 'numpy.add', 'numpy.amax', 'numpy. amin', 'numpy.arange', 'numpy.array', 'numpy.asarray', 'numpy.asarray_chkfinite' , 'numpy.cast', 'numpy.concatenate', 'numpy.conjugate', 'numpy.diag', 'numpy.dot ', 'numpy.exp', 'numpy.extract', 'numpy.eye', 'numpy.finfo', 'numpy.float_', 'nu mpy.floor', 'numpy.greater_equal', 'numpy.hstack', 'numpy.identity', 'numpy.imag ', 'numpy.inf', 'numpy.infty', 'numpy.insert', 'numpy.iscomplexobj', 'numpy.isfi nite', 'numpy.log', 'numpy.log2', 'numpy.logical_not', 'numpy.matrix', 'numpy.mg rid', 'numpy.newaxis', 'numpy.ogrid', 'numpy.ones', 'numpy.outerproduct', 'numpy .pi', 'numpy.poly1d', 'numpy.product', 'numpy.r_', 'numpy.ravel', 'numpy.real', 'numpy.reshape', 'numpy.sign', 'numpy.single', 'numpy.sqrt', 'numpy.subtract', ' numpy.sum', 'numpy.take', 'numpy.transpose', 'numpy.typecodes', 'numpy.typename' , 'numpy.where', 'numpy.zeros', 'numpy_distutils', 'numpy_distutils.command.buil d_flib', 'numpy_distutils.command.cpuinfo', 'numpy_distutils.cpuinfo', 'numpy_di stutils.fcompiler', 'pkg_resources', 'pre', 'setuptools', 'setuptools.command', 'setuptools.command.egg_info', 'matplotlib.numerix.Float', 'matplotlib.numerix.F loat32', 'matplotlib.numerix.absolute', 'matplotlib.numerix.alltrue', 'matplotli b.numerix.asarray', 'matplotlib.numerix.ceil', 'matplotlib.numerix.equal', 'matp lotlib.numerix.fromstring', 'matplotlib.numerix.put', 'matplotlib.numerix.ravel' , 'matplotlib.numerix.sqrt', 'matplotlib.numerix.take', 'matplotlib.numerix.tran spose', 'matplotlib.numerix.where', 'numarray.Complex', 'numarray.Complex32', 'n etc... Help me please! Thanks, -Jim Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
