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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