matplotlib-users Mailing List for matplotlib (Page 4)

On 02/11/2013 19:07, Joe Kington wrote:
> Hi Daniele,
> 
> First off, the FSF uses and endorses a number of non GPL licenses.  They
> reccomend the Apache license over MIT-style licenses for permissive
> cases due to patent issues, but they don't require it.  In fact, even
> the GNU project has several X11 (the FSF's name for the MIT license)
> licensed projects (e.g. Off the top of my head, I know ncurses is both
> an official GNU project and is X11-licensed.).

Thank for the info.  I knew that the FSF endorses a number of different
licenses, but I was under the impression that the only projects for
which copyright transfer was in place were under the GPL or LGPL
license.  I don't know if it makes much sense for other, more
permissive, licenses.

> However, I'm glad you brought this up.  I haven't actually filled out a
> copyright transfer form to the FSF.  I intended to at one point, but
> never did and didn't think about the copyright assignment in the license
> header very much. Not doing so, and leaving copyright in the name of any
> potential contributors actually makes things quite a bit simpler.

Indeed. I believe going the burden of copyright transfer makes sense
only for major projects under copyleft licenses.

Cheers,
Daniele

Hi Daniele,

First off, the FSF uses and endorses a number of non GPL licenses.  They
reccomend the Apache license over MIT-style licenses for permissive cases
due to patent issues, but they don't require it.  In fact, even the GNU
project has several X11 (the FSF's name for the MIT license) licensed
projects (e.g. Off the top of my head, I know ncurses is both an official
GNU project and is X11-licensed.).

However, I'm glad you brought this up.  I haven't actually filled out a
copyright transfer form to the FSF.  I intended to at one point, but never
did and didn't think about the copyright assignment in the license header
very much. Not doing so, and leaving copyright in the name of any potential
contributors actually makes things quite a bit simpler.

At any rate, it's certainly something I should clarify.

Thanks!
-Joe


On Sat, Nov 2, 2013 at 11:55 AM, Daniele Nicolodi <da...@gr...>wrote:

> Hello Joe,
>
> I accidentally had a look at the source file you linked to and I found
> the copyright and license terms quite strange.  Are you really
> transferring copyright for your work to the Free Software Foundation
> which is releasing it under the MIT license?  I find very strange that
> the FSF is using a license other than the (L)GPL.  Does it also mean
> that who wants to contribute to your project must sign a copyright
> assignment to the FSF?
>
> I'm puzzled.
>
> Best,
> Daniele
>
>
> On 30/10/2013 17:58, Joe Kington wrote:
> >
> > On Oct 30, 2013 9:43 AM, "Nils Wagner" <ni...@go...
> > <mailto:ni...@go...>> wrote:
> >>
> >> Hi all,
> >>
> >> How can I retrieve the corresponding "color value" in percent, when I
> > click on the image ?
> >>
> >
> > You have to jump through a couple of hoops.
> >
> > Have a look at the _coords2index function in pick_info.py for
> > mpldatacursor.
> >
> https://github.com/joferkington/mpldatacursor/blob/master/mpldatacursor/pick_info.py
> >
> > Also, mpldatacursor might be useful for what you're doing. Not to plug
> > my own project too much, but it does exactly this, among other things.
> >
> > Hope that helps!
> > -Joe
> >
> >> fig = plt.figure()
> >> ax  = fig.add_subplot(111)
> >> cax = ax.imshow(col[:,::2],
> interpolation='nearest',extent=[0.5,20.5,0.5,2
> >> 0.5],alpha=1,picker=5)
> >>
> >> fig.canvas.mpl_connect('pick_event', onpick)
> >>
> >> def onpick(event):
> >>  ...
> >>
> >>
> >> Nils
> >>
> >>
> >>
> >
> ------------------------------------------------------------------------------
> >> Android is increasing in popularity, but the open development platform
> > that
> >> developers love is also attractive to malware creators. Download this
> > white
> >> paper to learn more about secure code signing practices that can help
> keep
> >> Android apps secure.
> >>
> >
> http://pubads.g.doubleclick.net/gampad/clk?id=65839951&iu=/4140/ostg.clktrk
> >> _______________________________________________
> >> Matplotlib-users mailing list
> >> Mat...@li...
> > <mailto:Mat...@li...>
> >> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >>
> >
> >
> >
> >
> ------------------------------------------------------------------------------
> > Android is increasing in popularity, but the open development platform
> that
> > developers love is also attractive to malware creators. Download this
> white
> > paper to learn more about secure code signing practices that can help
> keep
> > Android apps secure.
> >
> http://pubads.g.doubleclick.net/gampad/clk?id=65839951&iu=/4140/ostg.clktrk
> >
> >
> >
> > _______________________________________________
> > Matplotlib-users mailing list
> > Mat...@li...
> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> >
>
>
>
> ------------------------------------------------------------------------------
> Android is increasing in popularity, but the open development platform that
> developers love is also attractive to malware creators. Download this white
> paper to learn more about secure code signing practices that can help keep
> Android apps secure.
> http://pubads.g.doubleclick.net/gampad/clk?id=65839951&iu=/4140/ostg.clktrk
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>

Hello Joe,

I accidentally had a look at the source file you linked to and I found
the copyright and license terms quite strange.  Are you really
transferring copyright for your work to the Free Software Foundation
which is releasing it under the MIT license?  I find very strange that
the FSF is using a license other than the (L)GPL.  Does it also mean
that who wants to contribute to your project must sign a copyright
assignment to the FSF?

I'm puzzled.

Best,
Daniele


On 30/10/2013 17:58, Joe Kington wrote:
> 
> On Oct 30, 2013 9:43 AM, "Nils Wagner" <ni...@go...
> <mailto:ni...@go...>> wrote:
>>
>> Hi all,
>>
>> How can I retrieve the corresponding "color value" in percent, when I
> click on the image ?
>>
> 
> You have to jump through a couple of hoops.
> 
> Have a look at the _coords2index function in pick_info.py for
> mpldatacursor.
> https://github.com/joferkington/mpldatacursor/blob/master/mpldatacursor/pick_info.py
> 
> Also, mpldatacursor might be useful for what you're doing. Not to plug
> my own project too much, but it does exactly this, among other things.
> 
> Hope that helps!
> -Joe
> 
>> fig = plt.figure()
>> ax  = fig.add_subplot(111)
>> cax = ax.imshow(col[:,::2], interpolation='nearest',extent=[0.5,20.5,0.5,2
>> 0.5],alpha=1,picker=5)
>>
>> fig.canvas.mpl_connect('pick_event', onpick)
>>
>> def onpick(event):
>>  ...
>>
>>
>> Nils
>>  
>>
>>
> ------------------------------------------------------------------------------
>> Android is increasing in popularity, but the open development platform
> that
>> developers love is also attractive to malware creators. Download this
> white
>> paper to learn more about secure code signing practices that can help keep
>> Android apps secure.
>>
> http://pubads.g.doubleclick.net/gampad/clk?id=65839951&iu=/4140/ostg.clktrk
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
> <mailto:Mat...@li...>
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
> 
> 
> 
> ------------------------------------------------------------------------------
> Android is increasing in popularity, but the open development platform that
> developers love is also attractive to malware creators. Download this white
> paper to learn more about secure code signing practices that can help keep
> Android apps secure.
> http://pubads.g.doubleclick.net/gampad/clk?id=65839951&iu=/4140/ostg.clktrk
> 
> 
> 
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
> 

Hi Nils,


I'm glad you found it useful!

I'm certainly not opposed to seeing it integrated into matplotlib in the
long run.  At the moment, though, it's probably changing a bit too
quickly.  There's a lot of little things I'd like to add to it.

On the other hand, if it ever were integrated upstream, there's an
opportunity to clean things up quite a bit, as mpldatacursor currently has
quite a few workarounds for minor bugs in old versions of mpl and minor api
changes, etc.

Cheers!
-Joe


On Thu, Oct 31, 2013 at 8:00 AM, Nils Wagner <ni...@go...> wrote:

> Hi Joe,
>
> Just now I installed your package mpldatacursor and run the example
> image_example.py.
> Awesome !
> Is there a chance to integrate it into matplotlib ?
>
> Nils
>
>
>
> On Wed, Oct 30, 2013 at 5:58 PM, Joe Kington <jof...@gm...>wrote:
>
>>
>> On Oct 30, 2013 9:43 AM, "Nils Wagner" <ni...@go...> wrote:
>> >
>> > Hi all,
>> >
>> > How can I retrieve the corresponding "color value" in percent, when I
>> click on the image ?
>> >
>>
>> You have to jump through a couple of hoops.
>>
>> Have a look at the _coords2index function in pick_info.py for
>> mpldatacursor.
>> https://github.com/joferkington/mpldatacursor/blob/master/mpldatacursor/pick_info.py
>>
>> Also, mpldatacursor might be useful for what you're doing. Not to plug my
>> own project too much, but it does exactly this, among other things.
>>
>> Hope that helps!
>> -Joe
>>
>> > fig = plt.figure()
>> > ax  = fig.add_subplot(111)
>> > cax = ax.imshow(col[:,::2],
>> interpolation='nearest',extent=[0.5,20.5,0.5,2
>> > 0.5],alpha=1,picker=5)
>> >
>> > fig.canvas.mpl_connect('pick_event', onpick)
>> >
>> > def onpick(event):
>> >  ...
>> >
>> >
>> > Nils
>> >
>> >
>> >
>> ------------------------------------------------------------------------------
>> > Android is increasing in popularity, but the open development platform
>> that
>> > developers love is also attractive to malware creators. Download this
>> white
>> > paper to learn more about secure code signing practices that can help
>> keep
>> > Android apps secure.
>> >
>> http://pubads.g.doubleclick.net/gampad/clk?id=65839951&iu=/4140/ostg.clktrk
>> > _______________________________________________
>> > Matplotlib-users mailing list
>> > Mat...@li...
>> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>> >
>>
>>
>

After upgrading to matplotlib 1.3.1-1 importing matplotlib.pyplot fails
with the error:

Python 2.7.5+ (default, Sep 17 2013, 15:31:50)
[GCC 4.8.1] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import matplotlib.pyplot
Found an unknown keyword in AFM header (was Each)
Found an unknown keyword in AFM header (was )
Found an unknown keyword in AFM header (was The)
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Found an unknown keyword in AFM header (was Each)
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Found an unknown keyword in AFM header (was )
Found an unknown keyword in AFM header (was The)
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Found an unknown keyword in AFM header (was )
Found an unknown keyword in AFM header (was The)
Found an unknown keyword in AFM header (was )
Found an unknown keyword in AFM header (was The)
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Found an unknown keyword in AFM header (was Each)
Found an unknown keyword in AFM header (was )
Found an unknown keyword in AFM header (was The)
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Found an unknown keyword in AFM header (was Each)
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Found an unknown keyword in AFM header (was )
Found an unknown keyword in AFM header (was The)
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Found an unknown keyword in AFM header (was )
Found an unknown keyword in AFM header (was The)
Found an unknown keyword in AFM header (was )
Found an unknown keyword in AFM header (was The)
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Value error parsing header in AFM: UnderlinePosition -41,5039
Value error parsing header in AFM: UnderlineThickness 43,9453
Traceback (most recent call last):

  File "<stdin>", line 1, in <module>
  File "/usr/lib/pymodules/python2.7/matplotlib/pyplot.py", line 24, in
<module>
    import matplotlib.colorbar
  File "/usr/lib/pymodules/python2.7/matplotlib/colorbar.py", line 29, in
<module>
    import matplotlib.collections as collections
  File "/usr/lib/pymodules/python2.7/matplotlib/collections.py", line 23,
in <module>
    import matplotlib.backend_bases as backend_bases
  File "/usr/lib/pymodules/python2.7/matplotlib/backend_bases.py", line 50,
in <module>
    import matplotlib.textpath as textpath
  File "/usr/lib/pymodules/python2.7/matplotlib/textpath.py", line 11, in
<module>
    import matplotlib.font_manager as font_manager
  File "/usr/lib/pymodules/python2.7/matplotlib/font_manager.py", line
1356, in <module>
    _rebuild()
  File "/usr/lib/pymodules/python2.7/matplotlib/font_manager.py", line
1341, in _rebuild
    fontManager = FontManager()
  File "/usr/lib/pymodules/python2.7/matplotlib/font_manager.py", line
1008, in __init__
    self.afmlist = createFontList(self.afmfiles, fontext='afm')
  File "/usr/lib/pymodules/python2.7/matplotlib/font_manager.py", line 563,
in createFontList
    font = afm.AFM(fh)
  File "/usr/lib/pymodules/python2.7/matplotlib/afm.py", line 342, in
__init__
    parse_afm(fh)
  File "/usr/lib/pymodules/python2.7/matplotlib/afm.py", line 331, in
parse_afm
    doptional = _parse_optional(fh)
  File "/usr/lib/pymodules/python2.7/matplotlib/afm.py", line 313, in
_parse_optional
    d[key] = optional[key](fh)
  File "/usr/lib/pymodules/python2.7/matplotlib/afm.py", line 246, in
_parse_kern_pairs
    c1, c2, val = _to_str(vals[1]), _to_str(vals[2]), _to_float(vals[3])
ValueError: could not convert string to float: -'0

The problem is with the Adobe Font Metric. Has anyone run into this problem
and found a solution or workaround? Any help is greatly appreciated.

My system is Debian testing with Python 2.7.5 and NumPy 1.7.1-3.

Thanks,
--
Ivan Lima
Woods Hole Oceanographic Institution, MC&G MS #25
360 Woods Hole Road, Woods Hole, MA 02543-1543 USA

On 1 November 2013 13:55, Jule <Ri...@gm...> wrote:

> Hey guys,
>
> I have a question regarding my plot.
> <http://matplotlib.1069221.n5.nabble.com/file/n42446/seaice.png>
> I want to plot seaice thickness distribution. The data is derived from a
> model run using an unstructured grid. To plot data on a map I use
> Triangulation and tricontourf. The problem I´m facing now is, that due to
> the triangulation my data is interpolated, resulting in an ocean covered by
> a thin layer of sea ice everywehere, which is unrealistic! So my question
> is, is there a way to limit the interpolation to the maximum extend of my
> data? I did a plot with MATLAB just to let you know how it should look
> like.
> <http://matplotlib.1069221.n5.nabble.com/file/n42446/ice_thick_N.jpg>
>
> My code looks like this so far:
>
> triang = tri.Triangulation(x,y)
> fig = plt.figure()
> plt.tricontourf(triang, ee, levels = levs, extend = 'both')
> cbar=plt.colorbar(orientation = 'horizontal', ticks=[0, 1, 2, 3, 4])
> cbar.set_label('Seaice thickness [m]', size=20,fontname='Arial')
> fc=map.fillcontinents(color = 'grey')
>
> Since I´m a beginner I would really appreciate any thoughts and
> suggestions!
> Thanks!
>

Try the following two changes, they should give you what you want.

1) Don't use extend='both' in your tricontourf call.  This is explicitly
asking for all areas below 0 (your lowest level) to be coloured dark blue.
Use extend='max' instead to ignore areas that are below your lowest level.

2) Change your lowest level.  It looks like you are using levs=[0.0, 0.5,
1.0, etc.  The lowest levels that are contoured are therefore where z >=
0.0 and z < 0.5.  This obviously includes all your non-sea ice areas as
they have z = 0.0.  Change your first value in levs to be something
slightly greater than zero, e.g. 1e-10.

By the way, your question is slightly confusing as you talk about
interpolation, which has nothing to do with what you are seeing!

Ian

Hey guys,

I have a question regarding my plot. 
<http://matplotlib.1069221.n5.nabble.com/file/n42446/seaice.png> 
I want to plot seaice thickness distribution. The data is derived from a
model run using an unstructured grid. To plot data on a map I use
Triangulation and tricontourf. The problem I´m facing now is, that due to
the triangulation my data is interpolated, resulting in an ocean covered by
a thin layer of sea ice everywehere, which is unrealistic! So my question
is, is there a way to limit the interpolation to the maximum extend of my
data? I did a plot with MATLAB just to let you know how it should look like. 
<http://matplotlib.1069221.n5.nabble.com/file/n42446/ice_thick_N.jpg> 

My code looks like this so far:

triang = tri.Triangulation(x,y)
fig = plt.figure()
plt.tricontourf(triang, ee, levels = levs, extend = 'both')
cbar=plt.colorbar(orientation = 'horizontal', ticks=[0, 1, 2, 3, 4])
cbar.set_label('Seaice thickness [m]', size=20,fontname='Arial')
fc=map.fillcontinents(color = 'grey')

Since I´m a beginner I would really appreciate any thoughts and suggestions!
Thanks!






--
View this message in context: http://matplotlib.1069221.n5.nabble.com/Limiting-interpolation-of-map-plot-with-tricontourf-tp42446.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

Hi

I have trying to follow the instruction to build Basemap (as per
http://matplotlib.org/basemap/users/installing.html).  I am running Ubuntu
13.04, with Python 2.7.4.

I work through the guide, but when I try and execute the:
python setup.py install
inside the basemap directory, I get a very very long set of
messages/warnings, ending with:

collect2: error: ld returned 1 exit status
error: Command "x86_64-linux-gnu-gcc -pthread -shared -Wl,-O1
-Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions -Wl,-z,relro
-fno-strict-aliasing -DNDEBUG -g -fwrapv -O2 -Wall -Wstrict-prototypes
-D_FORTIFY_SOURCE=2 -g -fstack-protector --param=ssp-buffer-size=4 -Wformat
-Werror=format-security build/temp.linux-x86_64-2.7/src/_geoslib.o -lgeos_c
-lgeos -o build/lib.linux-x86_64-2.7/_geoslib.so" failed with exit status 1

And the test of:
from mpl_toolkits.basemap import Basemap
fails.

How do I proceed from here?

Thanks
Derek