Your message dated Sat, 24 Mar 2012 16:17:07 +0100
with message-id
<CAB4XWXx8Z5LfEM3u7fYv-xD=3kec7bo6zkb5dnbqzwhipbe...@mail.gmail.com>
and subject line Re: [Python-modules-team] Bug#573179: "AttributeError:
'numpy.bool_' object has no attribute '_mask'" whenever imshow'ing masked array
has caused the Debian Bug report #573179,
regarding "AttributeError: 'numpy.bool_' object has no attribute '_mask'"
whenever imshow'ing masked array
to be marked as done.
This means that you claim that the problem has been dealt with.
If this is not the case it is now your responsibility to reopen the
Bug report if necessary, and/or fix the problem forthwith.
(NB: If you are a system administrator and have no idea what this
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immediately.)
--
573179: http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=573179
Debian Bug Tracking System
Contact [email protected] with problems
--- Begin Message ---
Package: python-matplotlib
Version: 0.99.1.2-3
Severity: normal
throws an exception while comparing two masked arrays which have no values (all
masked out)... sure thing it can't determine vmin/vmax to be used (unless clim
is used explicitely), but the exception which is thrown is non-informative. I
thought that upstream might want to make it more user-friendly -- please
forward upstream.
Here is the code to reproduce:
import pylab as pl
import numpy as np
size = (5, 5)
d = np.ones(size)
mask = d.astype(bool)
md = np.ma.masked_array(d, mask)
pl.imshow(md)
# explicit clim would eliminate the problem
#pl.clim(0, 1)
pl.colorbar()
and here is the traceback:
Traceback (most recent call last):
File "/usr/lib/python2.5/lib-tk/Tkinter.py", line 1417, in __call__
return self.func(*args)
File "/usr/lib/pymodules/python2.5/matplotlib/backends/backend_tkagg.py",
line 212, in resize
self.show()
File "/usr/lib/pymodules/python2.5/matplotlib/backends/backend_tkagg.py",
line 215, in draw
FigureCanvasAgg.draw(self)
File "/usr/lib/pymodules/python2.5/matplotlib/backends/backend_agg.py", line
314, in draw
self.figure.draw(self.renderer)
File "/usr/lib/pymodules/python2.5/matplotlib/artist.py", line 46, in
draw_wrapper
draw(artist, renderer, *kl)
File "/usr/lib/pymodules/python2.5/matplotlib/figure.py", line 773, in draw
for a in self.axes: a.draw(renderer)
File "/usr/lib/pymodules/python2.5/matplotlib/artist.py", line 46, in
draw_wrapper
draw(artist, renderer, *kl)
File "/usr/lib/pymodules/python2.5/matplotlib/axes.py", line 1701, in draw
im.draw(renderer)
File "/usr/lib/pymodules/python2.5/matplotlib/artist.py", line 46, in
draw_wrapper
draw(artist, renderer, *kl)
File "/usr/lib/pymodules/python2.5/matplotlib/image.py", line 237, in draw
im = self.make_image(renderer.get_image_magnification())
File "/usr/lib/pymodules/python2.5/matplotlib/image.py", line 182, in
make_image
x = self.to_rgba(self._A, self._alpha)
File "/usr/lib/pymodules/python2.5/matplotlib/cm.py", line 166, in to_rgba
x = self.norm(x)
File "/usr/lib/pymodules/python2.5/matplotlib/colors.py", line 763, in
__call__
elif vmin==vmax:
File "/usr/lib/python2.5/site-packages/numpy/ma/core.py", line 3119, in __eq__
check._mask = mask
AttributeError: 'numpy.bool_' object has no attribute '_mask'
-- System Information:
Debian Release: squeeze/sid
APT prefers unstable
APT policy: (901, 'unstable'), (900, 'testing'), (300, 'experimental')
Architecture: amd64 (x86_64)
Kernel: Linux 2.6.31-1-amd64 (SMP w/2 CPU cores)
Locale: LANG=en_US, LC_CTYPE=en_US.UTF-8 (charmap=UTF-8)
Shell: /bin/sh linked to /bin/bash
Versions of packages python-matplotlib depends on:
ii libatk1.0-0 1.28.0-1 The ATK accessibility toolkit
ii libc6 2.10.2-5 Embedded GNU C Library: Shared lib
ii libcairo2 1.8.8-2 The Cairo 2D vector graphics libra
ii libfontconfig1 2.8.0-2 generic font configuration library
ii libfreetype6 2.3.11-1 FreeType 2 font engine, shared lib
ii libgcc1 1:4.4.2-2 GCC support library
ii libglib2.0-0 2.22.4-1 The GLib library of C routines
ii libgtk2.0-0 2.18.6-1 The GTK+ graphical user interface
ii libpango1.0-0 1.26.0-1 Layout and rendering of internatio
ii libpng12-0 1.2.40-1 PNG library - runtime
ii libstdc++6 4.4.2-2 The GNU Standard C++ Library v3
ii python 2.5.4-9 An interactive high-level object-o
ii python-cairo 1.8.6-1 Python bindings for the Cairo vect
ii python-dateutil 1.4.1-3 powerful extensions to the standar
ii python-gobject 2.16.1-1 Python bindings for the GObject li
ii python-matplotlib-data 0.99.1.2-3 Python based plotting system (data
ii python-numpy 1:1.3.0-3+b1 Numerical Python adds a fast array
ii python-pyparsing 1.5.2-1 Python parsing module
ii python-support 1.0.6.1 automated rebuilding support for P
ii python-tz 2009l-1 Python version of the Olson timezo
ii tcl8.5 8.5.7-1 Tcl (the Tool Command Language) v8
ii tk8.5 8.5.7-1 Tk toolkit for Tcl and X11, v8.5 -
ii zlib1g 1:1.2.3.4.dfsg-3 compression library - runtime
Versions of packages python-matplotlib recommends:
ii python-glade2 2.16.0-1 GTK+ bindings: Glade support
ii python-tk 2.5.2-1.1 Tkinter - Writing Tk applications
Versions of packages python-matplotlib suggests:
ii dvipng 1.11-1 convert DVI files to PNG graphics
ii ipython 0.10-1 enhanced interactive Python shell
ii librsvg2-common 2.26.0-1 SAX-based renderer library for SVG
ii python-configobj 4.5.2-2 a simple but powerful config file
pn python-excelerator <none> (no description available)
ii python-gtk2 2.16.0-1 Python bindings for the GTK+ widge
ii python-matplotlib-doc 0.99.0-1 Python based plotting system (docu
pn python-qt3 <none> (no description available)
ii python-qt4 4.6-1 Python bindings for Qt4
ii python-scipy 0.7.0-2+b1 scientific tools for Python
ii python-traits 3.2.0-1 Manifest typing and reactive progr
ii python-wxgtk2.8 2.8.10.1-3 wxWidgets Cross-platform C++ GUI t
ii texlive-extra-utils 2007.dfsg.2-7 TeX Live: TeX auxiliary programs
ii texlive-latex-extra 2007.dfsg.17-2 TeX Live: LaTeX supplementary pack
-- no debconf information
--- End Message ---
--- Begin Message ---
On Tue, Mar 9, 2010 at 17:05, Yaroslav Halchenko <[email protected]> wrote:
> Here is the code to reproduce:
> import pylab as pl
> import numpy as np
>
> size = (5, 5)
> d = np.ones(size)
> mask = d.astype(bool)
>
> md = np.ma.masked_array(d, mask)
> pl.imshow(md)
> # explicit clim would eliminate the problem
> #pl.clim(0, 1)
> pl.colorbar()
As Eric said, it's likely the bug was in numpy, and now it's been
fixed (or not made to crash):
>>> import pylab as pl
>>> import numpy as np
>>>
>>> size = (5, 5)
>>> d = np.ones(size)
>>> mask = d.astype(bool)
>>>
>>> md = np.ma.masked_array(d, mask)
>>> pl.imshow(md)
<matplotlib.image.AxesImage object at 0x3444c50>
>>> pl.colorbar()
/usr/lib/pymodules/python2.7/numpy/ma/core.py:3808: UserWarning:
Warning: converting a masked element to nan.
warnings.warn("Warning: converting a masked element to nan.")
<matplotlib.colorbar.Colorbar instance at 0x3449128>
>>>
infact there's a warning now. Closing.
Regards,
--
Sandro Tosi (aka morph, morpheus, matrixhasu)
My website: http://matrixhasu.altervista.org/
Me at Debian: http://wiki.debian.org/SandroTosi
--- End Message ---
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