Hi, Has anyone else noticed this behavior? For the devs, do you prefer a github bug to the SF list?
Ben On Mon, Jul 25, 2011 at 2:21 PM, Ben Breslauer <bbresla...@gmail.com> wrote: > I think that I have found the problem here. Line2D.draw() (and I presume > other Artist subclasses) calls > > gc.set_foreground(self._color) > ... > gc.set_alpha(self._alpha) > > self._color is defined by the color kwarg, whether it be a hex value, > 3-tuple, 4-tuple, or something else. self._alpha is defined by the alpha > kwarg, but if the alpha kwarg is None, it is not overwritten with color[3]. > Therefore, using color=(R,G,B,A) does not set alpha correctly. I'm not sure > the best (i.e. most matplotlib-like) way to change this so that the A value > gets used iff alpha is None, but I've attached a patch that does it one way > (diff'ed against the github master, commit 67b1cd650f574f9c53ce). I know > the patch is less than ideal, as it adds kwarg-specific handling into a > place where none had previously been done, and it's also in a for loop. > Maybe it would be better to do the checking along with the scalex and scaley > pops? > > > Separately, I noticed that backend_bases.GraphicsContextBase.set_foreground > claims to only expect an RGB definition, and not an RGBA definition. As > such, I think that it should call > > self._rgb = colors.colorConverter.to_rgb(fg) > > instead of > > self._rgb = colors.colorConverter.to_rgba(fg) > > since that will make self._rgb a 3-tuple instead of a 4-tuple. > > Ben > > > On Sat, Jul 23, 2011 at 3:13 PM, Ben Breslauer <bbresla...@gmail.com>wrote: > >> Hi, >> >> I'm trying to fade some data, using alpha values, that I am plotting with >> Axes.plot(). I can recreate this problem with 1 line of pylab.plot. If I >> use >> >> pylab.plot([1,2,3],[1,4,9], color=(1,0,0,.2), linewidth=7) >> >> then I get the equivalent of >> >> pylab.plot([1,2,3],[1,4,9], color=(1,0,0), linewidth=7) >> >> i.e. it does not use the alpha value. However, if instead I use >> >> pylab.plot([1,2,3],[1,4,9], color=(1,0,0), linewidth=7, alpha=.2) >> >> then the line is faded out appropriately. The plot documentation >> indicates that RGBA tuples should be valid, so I'm wondering if this is a >> bug. Maybe alpha is defaulting to 1 or None and then not being overwritten >> if color is a 4-tuple? >> >> I'm using Arch Linux with kernel 2.6.39, matplotlib 1.0.1 from the Arch >> repo, and the Qt4 backend. My installed Qt version is 4.7.3, and I am using >> KDE 4.6.5. Below is verbose-debug output. Thanks for any help! >> >> Ben >> >> >> $HOME=/home/ben >> CONFIGDIR=/home/ben/.matplotlib >> matplotlib data path /usr/lib/python2.7/site-packages/matplotlib/mpl-data >> loaded rc file >> /usr/lib/python2.7/site-packages/matplotlib/mpl-data/matplotlibrc >> matplotlib version 1.0.1 >> verbose.level debug >> interactive is False >> units is False >> platform is linux2 >> loaded modules: ['heapq', 'numpy.core.info', 'distutils', >> 'numpy.lib.format', 'functools', 'pylab', '_bisect', 'subprocess', >> 'sysconfig', 'gc', 'matplotlib.tempfile', 'distutils.sysconfig', >> 'ctypes._endian', 'encodings.encodings', 'pyparsing', 'matplotlib.colors', >> 'numpy.core.numerictypes', 'numpy.testing.sys', 'numpy.lib.__future__', >> 'numpy.fft.types', 'numpy.ma.cPickle', 'struct', >> 'numpy.matrixlib.defmatrix', 'numpy.random.info', 'tempfile', >> 'numpy.compat.types', 'pprint', 'numpy.linalg', 'matplotlib.threading', >> 'numpy.core.machar', 'numpy.testing.types', 'numpy.testing', 'collections', >> 'numpy.polynomial.sys', 'unittest.sys', 'numpy.core.umath', 'unittest.main', >> 'distutils.types', 'numpy.testing.operator', 'numpy.core.scalarmath', >> 'numpy.ma.sys', 'zipimport', 'string', 'matplotlib.subprocess', >> 'numpy.testing.os', 'unittest.functools', 'numpy.lib.arraysetops', >> 'numpy.testing.unittest', 'numpy.lib.math', 'encodings.utf_8', >> 'matplotlib.__future__', 'unittest.types', 'unittest.util', ' >> numpy.testing.re', 'numpy.version', 'numpy.lib.re', 'distutils.re', >> 'numpy.matrixlib.sys', 'ctypes.os', 'numpy.core.os', 'numpy.lib.type_check', >> 'numpy.compat.sys', 'unittest.StringIO', 'bisect', 'numpy.core._internal', >> 'signal', 'numpy.lib.types', 'numpy.lib._datasource', 'random', >> 'numpy.lib.__builtin__', 'numpy.fft.fftpack_lite', 'matplotlib.cbook', >> 'textwrap', 'numpy.core.multiarray', 'numpy.polynomial.string', >> 'distutils.version', 'cStringIO', 'numpy.polynomial', 'numpy.numpy', >> 'matplotlib.StringIO', 'unittest.time', 'locale', 'numpy.add_newdocs', >> 'unittest.difflib', 'numpy.core.getlimits', 'base64', '_ssl', >> 'numpy.lib.sys', 'encodings', 'numpy.ma.itertools', 'unittest.pprint', ' >> unittest.re', 'abc', 'numpy.matrixlib', 'numpy.ctypes', >> 'numpy.testing.decorators', 'matplotlib.warnings', 'rfc822', >> 'numpy.lib.npyio', 'numpy.lib.numpy', 'matplotlib.sys', 're', >> 'numpy.lib._compiled_base', 'numpy.polynomial.legendre', 'threading', 'new', >> 'numpy.ma.warnings', 'numpy.random.mtrand', 'urllib2', 'matplotlib.cPickle', >> 'math', 'numpy.fft.helper', 'fcntl', 'unittest.case', 'matplotlib.numpy', >> 'UserDict', 'unittest.suite', 'numpy.lib.function_base', 'distutils.os', >> 'matplotlib', 'numpy.fft.numpy', 'exceptions', 'numpy.lib.info', >> 'ctypes', 'numpy.lib.warnings', 'ctypes.struct', 'codecs', >> 'numpy.core._sort', 'numpy.os', 'unittest.loader', '_functools', '_locale', >> 'numpy.__builtin__', 'matplotlib.os', 'thread', 'StringIO', >> 'numpy.core.memmap', 'traceback', 'numpy.testing.warnings', 'weakref', >> 'itertools', 'numpy.fft.fftpack', 'numpy.linalg.lapack_lite', 'numpy.ma', >> 'distutils.sys', 'os', 'marshal', 'numpy.lib.itertools', '__future__', >> '_collections', 'urllib', 'matplotlib.traceback', '_sre', 'unittest', >> 'numpy.core.sys', 'numpy.random', 'numpy.linalg.numpy', '__builtin__', >> 'numpy.lib.twodim_base', 'numpy.ma.core', 'matplotlib.re', >> 'numpy.core.cPickle', 'unittest.runner', 'operator', >> 'numpy.polynomial.polytemplate', 'numpy.core.arrayprint', >> 'distutils.string', 'numpy.lib.arrayterator', 'select', 'ctypes._ctypes', >> '_heapq', 'ctypes.sys', 'matplotlib.errno', 'unittest.collections', >> 'posixpath', 'numpy.lib.financial', 'numpy.polynomial.laguerre', >> 'matplotlib.random', 'errno', '_socket', 'binascii', 'sre_constants', >> 'datetime', 'numpy.core.shape_base', 'os.path', 'numpy.core.function_base', >> 'numpy.compat.py3k', 'numpy.lib.stride_tricks', 'numpy.core.numpy', 'numpy', >> '_warnings', 'numpy.polynomial.chebyshev', 'matplotlib.types', 'cPickle', >> 'encodings.__builtin__', 'numpy.polynomial.warnings', 'matplotlib.new', >> '_codecs', 'numpy.lib.operator', 'unittest.fnmatch', >> 'numpy.polynomial.polynomial', 'numpy.__config__', 'pwd', >> 'matplotlib.pyparsing', 'httplib', 'numpy.lib.ufunclike', 'copy', ' >> numpy.core.re', '_struct', 'numpy.core.fromnumeric', 'hashlib', >> 'numpy.ctypeslib', 'keyword', 'array', 'numpy.lib.scimath', 'numpy.fft', >> 'numpy.lib', 'numpy.ma.numpy', 'numpy.random.numpy', 'matplotlib.urllib2', >> 'unittest.weakref', 'numpy.ma.extras', 'numpy.polynomial.__future__', >> 'posix', 'encodings.aliases', 'matplotlib.fontconfig_pattern', 'fnmatch', >> 'sre_parse', 'pickle', 'numpy.core.ctypes', 'mimetools', >> 'distutils.distutils', 'unittest.signal', 'copy_reg', 'sre_compile', >> '_hashlib', '_random', '_ctypes', 'site', 'numpy.lib.polynomial', >> 'numpy.compat', 'numpy._import_tools', 'numpy.polynomial.hermite', >> '__main__', 'numpy.fft.info', 'numpy.core.records', 'shutil', >> 'numpy.lib.cPickle', 'numpy.sys', 'numpy.polynomial.hermite_e', 'urlparse', >> 'unittest.result', 'strop', 'grp', 'linecache', 'numpy.polynomial.numpy', >> 'numpy.core.numeric', 'numpy.linalg.info', 'encodings.codecs', '_abcoll', >> 'numpy.core', 'matplotlib.locale', 'matplotlib.rcsetup', 'matplotlib.time', >> 'matplotlib.weakref', 'genericpath', 'stat', 'socket', 'numpy.lib._iotools', >> 'numpy.lib.index_tricks', 'numpy.testing.utils', 'warnings', >> 'numpy.lib.utils', 'numpy.core.defchararray', 'numpy.polynomial.polyutils', >> 'numpy.lib.shape_base', 'numpy.core.types', 'unittest.signals', 'sys', >> 'numpy.core.warnings', 'numpy.compat._inspect', 'numpy.core.__builtin__', >> 'ctypes.ctypes', 'numpy.testing.traceback', 'numpy.lib.os', >> 'numpy.testing.nosetester', 'types', 'numpy.lib.shutil', >> 'matplotlib.datetime', 'matplotlib.distutils', '_weakref', >> 'numpy.testing.numpytest', 'difflib', 'distutils.errors', >> 'numpy.matrixlib.numpy', 'matplotlib.matplotlib', '_weakrefset', >> 'matplotlib.shutil', 'numpy.lib.cStringIO', 'unittest.warnings', 'time', >> 'unittest.traceback', 'ssl', 'numpy.linalg.linalg', 'unittest.os', >> 'numpy.testing.numpy'] >> Using fontManager instance from /home/ben/.matplotlib/fontList.cache >> backend Qt4Agg version 0.9.1 >> findfont: Matching >> :family=sans-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=medium >> to Bitstream Vera Sans >> (/usr/lib/python2.7/site-packages/matplotlib/mpl-data/fonts/ttf/Vera.ttf) >> with score of 0.000000 >> >> >
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