698 lines (543 with data), 24.4 kB
FAQs = (
('FREEZE',
'My matplotlib window is freezing',
""" Often times this is caused by running matplotlib with a backend
that is not compatible with your shell or IDE.<p>
There are known incompatiblities with some of the backends with some
of the IDEs, because they use different GUI event handlers. If you
want to use matplotlib from an IDE, please consult the backends
documentation for compatibility information. You will have the
greatest likelihood of success if you run the examples from the
command shell or by double clicking on them, rather than from an
IDE.<p>
If you are trying to generate plots interactively from the shell, you
need a shell that is compatible with your backend. Currently, your
best bet is TkAgg from the standard python shell or ipython. There
are a couple of custom GTK shells you can use, described <a
href=http://matplotlib.sourceforge.net/interactive.html>here</a>.<p>
To find out which IDEs are compatible with your backend, see <a
href=http://matplotlib.sourceforge.net/backends.html>backend</a>.<p>
To test whether you are experiencing a problem inherent in matplotlib,
you should open up a command shell and try to run one of the examples
from the matplotlib src distribution (the *.zip file for windows
users); Eg,
<pre>
c:\matplotlib\examples> python simple_plot.py
</pre>
If this works fine, then you likely have an IDE/shell problem and not
a matplotlib specific problem. Unfortunately, this problem tends to
crop up a lot. See for example <a
href=http://sourceforge.net/mailarchive/message.php?msg_id=8610351>this
thread</a> and the responses to that post for more information.
"""),
('WRONGDIR',
"When I try to import matplotlib.matlab, I get an error about no _transform.so or ft2font.so",
"""
If you are trying to run matplotlib from the matplotlib build dir, you
will fail. This is because the matplotlib python src dir is in your
module path, but it does not include the compiled extension modules
which are in site-packages/matplotlib. Change into another directory
and try again.<p>
If the problem persists, see if the required object files are in
site-packages/matplotlib. If not, something is wrong with your
install. You may want to try rebuilding with
<pre>
> rm -rf build
> python setup.py build > build.out
</pre>
and post the results to the matplotlib-devel or matplotlib-users
<a href=http://sourceforge.net/mail/?group_id=80706>mailing lists</a>.
"""),
('EXAMPLES',
'Where can I find examples of matplotlib code?',
"""
The matplotlib src distribution (*.zip for windows, *.tar.gz for linux
and friends) comes with many examples in the examples directory.
Notably, the windows installer <i>does not</i> come with the
examples dirrectory. You can also get all the examples from <a href=http://matplotlib.sourceforge.net/examples>examples</a>.
"""),
('PROMPT',
"After my matplotlib script runs, I get a python shell prompt. What's going on?",
"""
Tkinter, used by the default windows backend TkAgg not have a mainloop
like GTK or WX. We needed a way to keep the figure open, and decided
the best way was to switch into interactive mode in python. This has
the additional benefit that you can issue additional python commands
to customize your figure interactively, if you want.
"""),
('USE',
"matplotlib seems to be ignoring the <tt>use</tt> command",
"""
You must use the use command before importing matplotlib.matlab, as
described on <a href=backends.html>backends</a>
<pre>
>>> import matplotlib
>>> matplotlib.use('Agg')
>>> from matplotlib.matlab import *
</pre>
Note that if you are using an IDE like pycrust, pythonwin, or IDLE,
matplotlib.matlab may have already been loaded, and subsequent calls
to <tt>use</tt> or <tt>from matplotlib.matlab import *</tt> will have
no effect unless you explicitly force a module reload. """),
('VERSIONS',
'What do the version numbers mean?',
"""
The system has been evolving a bit, but here is what I am currently
using
<ul>
<li>0.50, 0.60, etc.: major releases to wider community. Should be
thoroughly bug tested and vetted</li>
<li>0.51, 0.52, etc.: new features released to matplotlib-users for
bug-vetting</li>
<li>0.51.1, 0.51.2, etc.: bug fix releases.</li>
</ul>
"""),
('NUMARRAY', 'Does matplotlib work with numarray?', """
Yes. Todd Miller has added a numerix module which allows you to
choose between Numeric or numarray at the prompt or in a config file.
See <a href=matplotlib.numerix.html>numerix module</a> for more
information.<p>
Some of the matplotlib extension code operates on Numeric/numarray
arrays, eg the image and transforms modules. To get optimum
performance, you should compile matplotlib with the proper flag for
the library you will be using most. Set the <i>NUMERIX</i> variable
in setup.py before building. Note that this is different from the
<i>numerix</i> variable in <a href=.matplotlibrc>.matplotlibrc</a>.
The former affects the matplotlib at compile time, the latter at run
time. All of your matplotlib scripts should run without error
regardless of these two settings, but to get optimum performance, they
should agree. numarray builds for win32 are available on the download
page."""),
('SLOW', 'matplotlib seems painfully slow, am I doing something wrong?',
"""Hopefully, yes. A lot of work has gone into making
matplotlib reasonably fast plotting largish arrays and image data. If
things seem exceptionally pokey, it may indicate a problem in your
setup. The most common cause is getting your numerix settings out of
kilter. As indicated in <a href=faq.html#NUMARRAY>the numarray
faq</a>, it is important that you compile matplotlib with the same
numerix setting you use in your rc file. Failure to do so can cause
up to a 30-fold performance hit in some cases.<p>
Another possibility to speed things up is to use <a
href=matplotlib.collections.html>collections</a>, which were designed
to efficiently plot large numbers of objects with some shared
properties. If you find youself issuing many spearate plot commands,
or instantiating many Line2D or Patch objects, you may benefit from
recoding with collections. See the matplotlib.axes.Axes
implementatation of scatter and pcolor, and the matplotlib.finance
module, for examples.<p>
If you are experiencing problems with performance, please post an
example to the mailing list.
"""),
('MATPLOTLIBRC',
'How do I customize the default behavior of matplotib?',
"""
Recent versions of matplotlib (0.51 or later) use a configuration file
to set everything from the default font, to the figure size, to the
default line width. See <a href=.matplotlibrc>.matplotlibrc</a> for a
sample config file and information on how to use it. """),
('OO',
'Is there any guide to using matplotlib with pythonic / OO /API rather than the matlab interface?',
"""
There is no official documentation yet, but there are a few resources
<ul>
<li>The class documentation at <a href=classdocs.html>classdocs</a>.
</li>
<li>the examples embedding_in*.py in the <a
href=examples>examples</a> directory in the matplotlib src
distribution.</li>
<li><a
href=examples/pythonic_matplotlib.py>pythonic_matplotlib.py</a>
describes the translation from the matlab style interface to the
pythonic, OO interface.</li>
<li> matplotlib/matlab.py in site-packages or the matplotlib src
directory is a useful resource. The matlab interface is just a
thin wrapper around the API, so you can look and see how it is
done there, translating all the gcf() calls to your figure
instance, all the gca() calls to your axes instance, and so
on.</li>
<li>You can always post questions to <a
href=http://sourceforge.net/mailarchive/forum.php?forum_id=33405>matplotlib-users</li>
</ul>
I'm working on some additional documentation but it is not ready yet.
"""),
('PY2EXE',
'Can I freeze matplotlib with py2exe',
"""
Yes. I have successfully frozen example scripts using the TkAgg,
GTKAgg and WxAgg backends. One trick is to make sure that py2exe can
find all the matplotlib data files. Recent versions of matplotlib
(0.54.3 and later) support py2exe by looking in the py2exe dist dir
for a <tt>matplotlibdata</tt> subdir. Thus if you're setup.py script looks
like
<pre>
from distutils.core import setup
import glob
import py2exe
data = glob.glob(r'C:\Python23\share\matplotlib\*')
data.append(r'C:\Python23\share\matplotlib\.matplotlibrc')
setup( console = ["simple_plot.py"],
data_files = [("matplotlibdata", data)],
)
</pre>
You don't need anything special in your plotting script. Eg, the
following works fine with recent versions of py2exe
<pre>
from matplotlib.matlab import *
plot([1,2,3])
show()
</pre>
matplotlib should be able to find your matplotlib data directory. You
can still configure the defaults in
<tt>dist/matplotlibdata/.matplotlibrc</tt> after the application has
been frozen.<p>
Note you may get warnings like "The following modules appear to be
missing" but in general I have found these to be harmless for freezing
matplotlib.<p>
To freeze GTK or GTKAgg, you need to do a couple of extra things,
including creating a <tt>setup.cfg</tt> file and copying the
<tt>lib</tt> and <tt>etc</tt> subdirectories of yout GTK install tree
to your py2exe dist subdir. See the <tt>simple_plot_gtk</tt>
subdirectory in the <a href=py2exe_examples.zip>py2exe examples</a>
zip file.<p>
If you want to reduce the size of your application by excluding
certain backends, see the <a
href=http://starship.python.net/crew/theller/moin.cgi/MatPlotLib>matplotlib
py2exe wiki entry</a>.
"""),
('CUSTOM',
'How do I dynamically change the rc defaults?',
r"""
If you want to customize a session of matplotlib, eg, the default font,
linewidth, fontsize, etc, use the <a
href=matplotlib.matlab.html#-rc>rc</a> command. This changes the
default for the rest of the session, or until you issue another rc
command. See <a examples/customize_rc.py>customize_rc.py</a> for
example usage."""),
('GTKPATH',
'I cannot import gtk / gdk / gobject',
"""
Basically, there are 3 things that I've seen cause failure (relative
likelihood in parentheses):
<ul>
<li> You didn't set the path properly (95% of the time).
<it>Solution:</it> Add the lib and bin subdirs of your GTK install
directory to your PATH. See the <a
href=http://www.async.com.br/faq/pygtk/index.py?req=show&file=faq21.002.htp>pygtk
FAQ entry</a> for one way to do this.</li>
<li> You previously installed some other GTK app and one of libiconv
/ libgtk /libgdk is in your windows system dir and causing a
problem (4% of the time). <it>Solution:</it> Remove these old libs.</li>
<li> You accidentally installed GTK-Development lib and not
GTK-Runtime (1% of the time). <it>Solution:</it> install the
runtime from <a href=http://prdownloads.sourceforge.net/gtk-win>
dropline</a>.</ul>
There is a long thread on the pygtk mailing list where Cousing Stanley
got his gtk corrupted; read <a
href=http://www.mail-archive.com/pygtk@daa.com.au/msg07324.html>this
thread</a>, which is filled with good troubleshooting advice.
""" ),
('WHICHBACKEND',
'Which backend should I use?',
"""
Each of the backends offers different strengths. I'll summarize some
of them.
<h4>Image generation</h4>
For pure image generation (no GUI) you can choose from the Agg, Paint,
GD, or PS backends. At this point, I advise people to use the <a
href=http://antigrain.com>agg</a> backend because:
<ul>
<li>it's the fastest</li>
<li>it uses freetype2 (as does GD) which renders nicely even
at small resolutions </li>
<li>there are clipping issues with GD and Paint </li>
<li>it supports fast antialiased drawing and alpha blending </li>
<li>it supports <a href=matplotlib.mathtext.html>mathtext</a></li>
<li>it supports images with <a href=matplotlib.matlab.html#-imshow>imshow</a></li>
</ul>
It is likely that with time many of these limitiations or problems
will be fixed on the other backends.<p>
For publication submission or use with TeX, however, the postscript
backend is naturally a good choice.
<h4>GUI</h4>
Currently there are several choices for GUIs: GTK, Wx, TkAgg, and
GTKAgg, with different advantages.
<ul>
<li>Speed: TkAgg and GTKAgg are likely to be the fastest since most of Agg is renderered in C extension code</li>
<li>Stability: GTK was the first backend and thus has been most
thoroughly vetted for bugs. The GTKAgg backend reuses the GTK widget
code, so should likewise be quite stable</li>
<li>Interactivity: All of the GUI backends can be used interactively
from a python shell (see <a href=interactive.html>interactive</a>) but
TkAgg is the hands-down winner here since it can be use from any
python shell whereas the GTK and Wx backends require a GUI specific
shell </li>
<li>Pretty widgets: If you want to embed matplotlib in an application
and pretty GUIs are important to you, Wx, GTK, or GTKAgg are probably
your best best. Tk widgets are not visually stunning. </li>
</ul>
"""),
('DATES',
'Can I plot dates?',
r"""
As of matplotlib-0.53, you can plot dates using a variety of datetime
instances (eg python2.3 datetime module, mx.DateTime, raw epoch data).
There are a number of converters, major and minor tick locators, and
date formatters specialized for plotting dates. See see <a
href=matplotlib.ticker.html>ticker</a> and <a
href=matplotlib.dates.html>dates</a> for details and usage and the
examples <a href=examples/date_demo1.py>date_demo1.py</a> and <a
href=examples/date_demo2.py>date_demo2.py</a>.
"""),
('TWOSCALES',
'Can I plot data with two y axes scales?',
r"""
As of matplotlib-0.53, there is support for this. See <a
href=examples/two_scalers.py>two_scales.py</a>.
"""),
('MATHTEXT',
'Can I include math expressions in my figures?',
r"""As of matplotlib-0.51, you can use TeX markup in any text element.
Just use raw strings and enclose the strings with dollar signs, as in
<tt>title(r'$\\alpha > \\beta_i$')</tt>. See <a
href=screenshots.html#mathtext_demo>screenshot</a> and the <a
href=matplotlib.mathtext.html>mathtext</a> documentation for usage,
requirements and backend information.
"""),
('BATCHMODE',
'Can I just generate images without having a window popup?',
"""
The easiest way to do this is use an image backend, either <a
href=backends.html#Agg>Agg</a>, <a
href=backends.html#GD>GD</a> or <a href=backends.html#Paint>Paint</a>
if you want to generate PNG images, eg, for use in a web page, or PS
if you want publication quality, scalable images. All of these
backends run on all of the major platforms. One additional option on
an X windows platform is to run the GTK backend under an Xvfb, which
works nicely and is not too hard to setup. Contact
jdhunter@ace.bsd.uchicago.edu for more information if you are
interested setting this up."""),
('APPSERVER',
'Can I use matplotlib in a web application server?',
"""
Yes. matplotlb can be used with any web application server that can
call python. It has been used with mod_python, xml_rpc, and other
frameworks. You'll want to use one of the image backends; <a
href=faq.html#BATCHMODE>see image backends</a>. Also to make small images
appropriate for use on a web page, you may want to consider the Agg or GD
backends, since they render small font rasters using freetype2 better
than Paint, which currently use freetype1. You can work around
the problem of small raster sizes by making your fonts appear larger
for a given by decreasing the figure size and increasing the dpi. Eg,
<pre>
figure(figsize=(6,4))
plot(blah, blah)
savefig('myfile', dpi=75)
</pre>
See <a href=fonts.html#TTFFONTS>ttf fonts</a> for more information.
"""
),
('SHOW',
"What's up with 'show'? Do I have to use it?",
"""
You do not need this function with the image backends (Agg, Paint, GD,
PS) but you do need it with the GUI (GTK, WX, TkAgg, GTKAgg) backends,
unless you are running matplotlib in <a
href=interactive.html>interactive mode</a>. <p>
Because it is expensive to draw, I want to avoid redrawing the figure
many times in a batch script such as the following<p>
<pre>
plot([1,2,3]) # draw here ?
xlabel('time') # and here ?
ylabel('volts') # and here ?
title('a simple plot') # and here ?
show()
</pre>
It is possible to force matplotlib to draw after every command, which
is what you want in <a href=interactive.html>interactive mode</a>, but
in a script you want to defer all drawing until the script has
executed. This is especially important for complex figures that take
some time to draw. 'show' is designed to tell matplotlib that you're
all done issuing commands and you want to draw the figure now. In the
TkAgg backend, which can be used from an arbitrary python shell
interactively, it also sets interactive mode. So you can launch your
script with <tt>python -i myscript.py -dTkAgg</tt> and then change it
interactively from the shell.
<b>IMPORTANT: show should called at most once per script. If you want
to force a figure draw, use <a
href=matplotlib.matlab.html#-draw>draw</a> instead.</b> """),
('PSGUI',
'Can I save PS/EPS from a GUI backend?',
"""
Yep. Just choose a filename that contains <tt>ps</tt> in the extension, eg
<tt>somefile.ps</tt> or <tt>somefile.eps</tt> and matplotlib will try
and do the right thing. That is, if it's an eps file, it will include
a bounding box, if it's a ps file it will output plain postscript. It
is recommended you use matplotlib-0.50 or later for this feature to
work properly."""),
('TEXTOVERLAP',
'My title or ticklabel or whatever is overlapping some other figure element, what should I do?',
"""
The default subplots take up a lot of room. If you need extra space
for particularly large labels and titles, consider using custom <a
href=matplotlib.matlab.html#-axes>axes</a>, eg, <tt>axes([0.3, 0.3, 0.6,
0.6])</tt> gives you more room to the left and at the bottom than the
standard axes.</p>
Other things to consider. With multiple subplots, eg, multiple rows,
turn off the xticklabels for all but the lowest subplot if they are
the same in all subplots <tt>set(gca(), 'xticklabels', [])</tt>. You
can make the fontsizes smaller, as in <tt>xlabel('time (s)',
fontsize=8)</tt> or, for the tick labels
<pre>
t = gca().get_xticklabels()
set(t, 'fontsize', 8)
</pre>
You can also set the default ticklabel size in your <a
href=faq.html#MATPLOTLIBRC>matplotlibrc</a> file or override it for a
single plot using <a
href=faq.html#CUSTOM>rcParams</a>."""),
('DYNAMIC',
'Can matplotlib do dynamic plots, like digital oscilloscopes or animations?',
"""
Absolutely. See for example, <a href=examples/anim.py>anim.py</a> and <a
href=examples/system_monitor.py>system_monitor.py</a>"""),
('AXES',
'Can I change the size of the subplots',
"""
subplot is just a helper function to generate regularly spaced axes.
For more fine-grained control, you can position axes anywhere you want
in any size using the axes command. See
the <a href=matplotlib.matlab.html#-axes>axes command</a> and the example
<a href=examples/axes_demo.py>axes_demo.py<a/>.<p>
"""),
('IMAGES',
'Can matplotlib handle image data?',
"""
Yes - you can now plot images from numerix arraysq with <a
href=matplotlib.matlab.html#-imshow>imshow</a>. You can load png
files into arrays <a href=matplotlib.matlab.html#-imread>imread</a>;
image loaders coming soon."""),
('ROTATETICKS',
'How do I make vertical xticklabels?',
"""
You can set the rotation of any text instance to vertical
<pre>
from matplotlib.matlab import *
plot([1,2,3,4], [1,4,9,16])
set(gca(), 'xticks', [1,2,3,4])
labels = set(gca(), 'xticklabels', ['Frogs', 'Hogs', 'Bogs', 'Slogs'])
set(labels, 'rotation', 'vertical')
show()
</pre>
"""),
('WINFONTS',
"On windows with GTK, I'm getting lots of messages about not finding the Times font",
r"""
Apparently GTK changed the default pango font file, because this is a
new problem. You can set font aliases in
C:\GTK\etc\pango\pango.aliases. Add a line like
<pre>
times = "times new roman,angsana new,mingliu,simsun,gulimche,ms gothic,latha,mangal,code2000"
</pre>
Another alternative is suggested by Gary Ruben <gazzar@email.com>
<pre>
I just installed Gimp 2 for windows along with the latest GTK+ runtime
and noticed that it exhibited the same font problem I've been
experiencing for ages with matplotlib. I was getting WARNING **:
Couldn't load font "MS Sans Serif 8" falling back to "Sans 8"
errors.
It's addressed in their FAQ,
http://www2.arnes.si/~sopjsimo/gimp/faq.html>, reproduced here:
# I installed Gimp 2.0 on Windows 9x/ME or NT 4, and I'm getting a
lot of messages saying ** (gimp-2.0.exe:4294830849): WARNING **:
Couldn't load font "MS Sans Serif 8" falling back to "Sans 8". What
should I do?
# You have two options:
* Go to Control Panel->Display properties->Apperance tab, and set
all fonts to Tahoma (or any other TrueType font).
* Uninstall GTK+ 2.2.4, then re-install it without the GTK-Wimp
component.
I took option B and now all is well with both Gimp and Matplotlib.
I'm running Win98 and the Gimp FAQ entry hints that it may be a
problem in Win98,ME and NT installations.
</pre>
"""
),
('FREETYPE2',
"Why are my fonts not being rendered properly?",
"""
This is probably due to an outdated freetype2 library. The latest
version is 2.1.9. See <a href=matplotlib.font_manager.html>font manager
docs</a> for details.
""" ),
('LEAKS',
'matplotlib appears to be leaking memory, what should I do?',
"""\
A number of severe memory leaks were fixed in the 0.54 and 0.60
matplotlib releases. These have been fixed, and here are no known
severe leaks in matplotlib as of 0.61. There is a leak in freetype
2.1.7 and earlier that was fixed in freetype 2.1.9. The memory leak
situation has improved significantly as I've migrated almost all of
the extension code to pycxx, and I use a number of unit tests to test
leaks of various extension code components. <p>
Below is a prototypical script that I use to diagnose and report
memory leaks. Please use something like it when reporting leaks so I
get an idea of the magnitude of the problem (ie bytes per figure).
Also please provide your platform, matplotlib version, backend and as
much information about the versions of the libraries you are using:
freetype, png and zlib. It would also help if you posted code so I
could look for any obvious coding errors vis-a-vis matplotlib.<p>
Running the code below, I'm getting about anywhere between -5 to 5
bytes / per figure (matplotlib-0.60.2 / agg backend on linux with
freetype 2.1.9, libpng1.2 and libz 1.1.4). If your numbers are much
worse, it may be that you are doing something wrong, ie, not properly
closing, reusing figure, etc, so please post some code to the list.<p>
<pre>
# Script to diagnose and report leaks
import os, sys, time
import matplotlib
matplotlib.use('Agg')
from matplotlib.matlab import *
def report_memory(i):
pid = os.getpid()
a2 = os.popen('ps -p %d -o rss,sz' % pid).readlines()
print i, ' ', a2[1],
return int(a2[1].split()[1])
# take a memory snapshot on indStart and compare it with indEnd
indStart, indEnd = 10, 200
for i in range(indEnd):
ind = arange(100)
xx = rand(len(ind))
figure(1)
subplot(221)
plot(ind, xx)
subplot(222)
X = rand(50,50)
imshow(X)
subplot(223)
scatter(rand(50), rand(50))
subplot(224)
pcolor(10*rand(50,50))
savefig('tmp%d' % i, dpi = 75)
close(1)
val = report_memory(i)
if i==indStart: start = val # wait a few cycles for memory usage to stabilize
end = val
print 'Average memory consumed per loop: %1.4fk bytes\n' % ((end-start)/float(indEnd-indStart))
</pre>
"""),
)
@header@
<h2> matplotlib FAQ </h2>
<h2> Questions </h2>
<ul>
+ for name,q,a, in FAQs:
<li><a href=faq.html#@name@>@q@</a></li>
-
</ul>
<h2> Answers </h2>
+ for name,q,a, in FAQs:
<h3><a name=@name@><font color="#0000EE">@q@</font></a></h3>
@a@
<p>
-
@footer@