matplotlib-users Mailing List for matplotlib

Hello all,

In Windows, when I create any plot, click on the save button, then  
right click in the save window (e. g. to create a new folder or rename  
a file), Matplotlib freezes. It stays frozen until I close Explorer.  
Also the Interpret that launched it stays frozen too.

OS: Windows XP x64
matplotlib version: 1.0.1
Where I obtained matplotlib: Python xy 2.6.6.2 (official 32-bit binary)
Customizations: none
Minimal code to reproduce:
     import matplotlib
     from matplotlib import pyplot as plt
     plt.plot([0, 1],[1, 2])
   followed by clicking on the Save button, and right clicking in the Explorer.

Overall, not a big deal, since I can perform any file operations  
necessary outside the little popup window, but this is still not  
correct functionality.

Thank you all,
-- 
Peter DeVore

On Mon, Aug 1, 2011 at 2:44 PM, Alexey Uimanov <s9g...@gm...> wrote:

> I am writing gtk2 application on python, I need to plot a chart in
> separate window and i just use this code
>
>    def matplot_print(self, print_values):
>        """\brief print data by matplotlib and shw the figure
>        \param print_values [(name - is a string, [(datetime, value)]
> - is a list of data to plot)] - list of charts to plot
>        """
>        fig = plt.figure()
>        ax = fig.add_subplot(111)
>        names = map(lambda a: a[0], print_values)
>        lines  = map(lambda chart: ax.plot_date(map(lambda chd:
> chd[0], chart[1]),
>                                                map(lambda chy:
> chy[1], chart[1]), '-'), print_values)
>        plt.figlegend(lines, names, 'upper left')
>
>        majloc = AutoDateLocator()
>        majform = AutoDateFormatter(majloc)
>        ax.xaxis.set_major_locator(majloc)
>        ax.xaxis.set_major_formatter(majform)
>        ax.autoscale_view()
>        ax.grid(True)
>        fig.autofmt_xdate()
>        fig.show()
>
> The figure is showing and everything works before closing the window
> of figure. It seems that figure call gtk.main_quit() when closing it's
> window. How to override this behaviour ?
>
>
I think what is happening is that matplotlib assumes that if it has to
create the figure window itself, then it assumes that it has to manage the
main loop itself as well.  Is it possible to have the main application
provide the window object for embedding the matplotlib figure within?

Ben Root

On Mon, Aug 1, 2011 at 6:48 PM, Ivan D Vasin <iv...@ad...> wrote:
> i came across some issues while attempting to install matplotlib today:
>
>
> ====
> first issue: no bug tracker
> ====
> matplotlib's website has a link to a bug tracker that is no longer available.  i'm guessing this mailing list is
> the new bug tracker, which seems to me like a downgrade.
>
>
> ====
> second issue: outdated PyPI listing
> ====
> the current version of matplotlib is 1.0.1.  but the PyPI download URL is such that it causes pip to install
> an older version, 0.91.1:
>
> $ pip install matplotlib
> Downloading/unpacking matplotlib
>  Downloading matplotlib-0.91.1.tar.gz (3.9Mb): 3.9Mb downloaded
> [...]
>
> matplotlib devs: please fix your PyPI listing.


I have looked at this several times on the pypi page as this has come
up before and do not see anything wrong with the listing.  The 0.91.1
listing is tagged as "hidden" and the 1.0.1 listing is the only
release that is not hidden.  I don't see any other way to flag the
1.0.1 listing as active.  It may be that the 0.91.1 release was the
last time I issued a pypi command from setup.py from the command line.
 There should be a way to fix this from the pypi web interface but I
haven't found it.l  If any other dev wants to look at it, I can share
the password with you if you contact me.

JDH

Great! The last post from the page
http://stackoverflow.com/questions/5656798/python-matplotlib-is-there-a-way-to-make-a-discontinuous-axis
was exactly what i want!

It should work for me with some little modifications!

Thanks to all! I'll post a screenshot when it's ready!

Hubert 


Warren Weckesser-3 wrote:
> 
> On Thu, Jul 28, 2011 at 5:41 AM, denoise <hub...@pa...>
> wrote:
>>
>> Hi there,
>>
>> i'd like to plot a data series with signal values over timestamps, what
>> works perfectly. But if I want to display 2 series with different time
>> domains, theres a gap in between.
>> For example my first set of data is from time (x) 1-3 and the second from
>> 7-8. If I send the mixed array to the plot, I will receive something like
>> that:
>>
>> y|    x x x         x x x
>> x| 0 1 2 3 4 5 6 7 8 9 10 11
>>
>> But if there is considerably more time between the to data sets, it soon
>> will look confusing.
>> What i need is a graph over this:
>>
>> y| x x x   x x x
>> x| 1 2 3  7 8 9
>>
>> Of course I could do this with 2 subplots, but i want to scroll over a
>> whole
>> set of data.
>> Is it possible wih matplotlib, or is there a workaround?
> 
> 
> There are a couple examples here:
>    
> http://stackoverflow.com/questions/5656798/python-matplotlib-is-there-a-way-to-make-a-discontinuous-axis
> 
> 
> Warren
> 
> 
> 
>>
>> Thanks!
>> Hubert
>>
>> --
>> View this message in context:
>> http://old.nabble.com/plot-with-discontinuous-x-axis-tp32155499p32155499.html
>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>
>>
>> ------------------------------------------------------------------------------
>> Got Input?   Slashdot Needs You.
>> Take our quick survey online.  Come on, we don't ask for help often.
>> Plus, you'll get a chance to win $100 to spend on ThinkGeek.
>> http://p.sf.net/sfu/slashdot-survey
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
> 
> ------------------------------------------------------------------------------
> Got Input?   Slashdot Needs You.
> Take our quick survey online.  Come on, we don't ask for help often.
> Plus, you'll get a chance to win $100 to spend on ThinkGeek.
> http://p.sf.net/sfu/slashdot-survey
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> 
> 

-- 
View this message in context: http://old.nabble.com/plot-with-discontinuous-x-axis-tp32155499p32177325.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Hi,


On Tue, 02 Aug 2011 08:43:47 +0000, Freedom Fighter wrote:
> Hi,
>
>  what's the easiest method of creating a square wave plot?
>  Let's say I have a data stream of bits that have values of "1" or
> "-1".
>  The plot function wants to draw a diagonal line between those points
> but I need to have a horizontal line. So to get a "square wave" I 
> must
> insert additional points to the series when the values change.
>  I wonder if there an easy way of doing this?

You can use the "step" function, which does exactly this and has 
arguments for setting where the step is made, etc.

Regards,

Sebastian

Hi,

 what's the easiest method of creating a square wave plot?
 Let's say I have a data stream of bits that have values of "1" or "-1".
 The plot function wants to draw a diagonal line between those points but I need to have a horizontal line. So to get a "square wave" I must insert additional points to the series when the values change.
 I wonder if there an easy way of doing this?

i came across some issues while attempting to install matplotlib today:


====
first issue: no bug tracker
====
matplotlib's website has a link to a bug tracker that is no longer available.  i'm guessing this mailing list is 
the new bug tracker, which seems to me like a downgrade.


====
second issue: outdated PyPI listing
====
the current version of matplotlib is 1.0.1.  but the PyPI download URL is such that it causes pip to install 
an older version, 0.91.1:

$ pip install matplotlib
Downloading/unpacking matplotlib
  Downloading matplotlib-0.91.1.tar.gz (3.9Mb): 3.9Mb downloaded
[...]

matplotlib devs: please fix your PyPI listing.

matplotlib users: you can work around this by using the following command instead (but see the issue 
below):

$ pip install 
http://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.0.1/matplotlib-1.0.1.tar.gz


====
third issue: missing dependency specifications
====
a long time ago, distutils was the only way to define how to set up a Python project and to run actions 
against such a definition.  later, setuptools superseded distutils as the standard.  now, setuptools is so 
old that has been superseded by distribute.  look at nearly any active project in the Python community, 
and you will find that it uses distribute and has installation docs that refer to pip (instead of the old 
easy_install that came with setuptools).  and for good reason, since each successor to distutils brought 
significant improvements on many counts.  i think it's safe to say that anyone using Python in the 
modern day uses it with distribute, or at least with setuptools.

but matplotlib appears to still use distutils:

setup.py:35
----
from distutils.core import setup
----

one of the major improvements that came with setuptools is the ability to specify dependencies via the 
``install_requires`` keyword argument to the ``setup()`` call in a project's setup script.  package 
managers such as pip can use this to automatically fetch unsatisfied dependencies.  however, since 
matplotlib doesn't have an install_requires, its dependencies are left unsatisfied, even when using pip, 
which results in the following:

----
$ pip install 
http://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.0.1/matplotlib-1.0.1.tar.gz
Downloading/unpacking 
http://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.0.1/matplotlib-1.0.1.tar.gz
  Downloading matplotlib-1.0.1.tar.gz (13.3Mb): 13.3Mb downloaded
  Running setup.py egg_info for package from 
http://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.0.1/matplotlib-1.0.1.tar.gz
    basedirlist is: ['/usr/local', '/usr']
    ============================================================================
    BUILDING MATPLOTLIB
                matplotlib: 1.0.1
                    python: 2.7.1+ (r271:86832, Apr 11 2011, 18:13:53)  [GCC
                            4.5.2]
                  platform: linux2
    
    REQUIRED DEPENDENCIES
                     numpy: no
                            * You must install numpy 1.1 or later to build
                            * matplotlib.
    Complete output from command python setup.py egg_info:
    basedirlist is: ['/usr/local', '/usr']

============================================================================

BUILDING MATPLOTLIB

            matplotlib: 1.0.1

                python: 2.7.1+ (r271:86832, Apr 11 2011, 18:13:53)  [GCC

                        4.5.2]

              platform: linux2



REQUIRED DEPENDENCIES

                 numpy: no

                        * You must install numpy 1.1 or later to build

                        * matplotlib.

----------------------------------------
Command python setup.py egg_info failed with error code 1
Storing complete log in /home/ivan/.pip/pip.log
----

matplotlib devs: please fix your setup script to use setuptools (distribute acts as a drop-in 
replacement) and specify an ``install_requires`` as well as any applicable ``extras_require`` (e.g. for 
matplotlib backends and optional features).

matplotlib users: you can work around this, at least for the unconditional dependency on numpy, as 
follows:

$ pip install numpy
$ pip install 
http://sourceforge.net/projects/matplotlib/files/matplotlib/matplotlib-1.0.1/matplotlib-1.0.1.tar.gz


====
fourth issue: compiler warnings about ``-Wstrict-prototypes``
====
while building matplotlib, i get a bunch of these warnings:

cc1plus: warning: command line option "-Wstrict-prototypes" is valid for Ada/C/ObjC but not for C++

they're harmless--i'm guessing gcc simply throws out the offending option.  but compiler warnings exist 
for a reason--to warn developers of bad practices that may or may not lead to incorrect runtime 
behavior.  leaving them in released code can lead to obfuscation of warnings about real issues and 
confusion about the causes of erroneous behavior.

matplotlib devs: please fix your compiler flags to omit ``-Wstrict-prototypes`` from invocations of gcc 
and g++ on C++ files.

matplotlib users: you can safely ignore these warnings.