matplotlib-users Mailing List for matplotlib

I'd like to use, in one case, small loaded images (pngs) as markers on an
interactive matplotlib plot (using the OO approach). I'd potentially like
to be able to point-pick these markers, too, as well as have them update
appropriately if the plot is resized.
The only example I've been to find of this is here:
http://stackoverflow.com/questions/2318288/how-to-use-custom-marker-with-plot
But that is from 2 years ago. Is this way of doing it--which the author
describes as a "kludge"--still the state of things, or is there a better
approach now? (And right now this way isn't working for me...the images
are down the bottom of the figure).
Thank you,
Che

I have a txt file (with an associated prj file) containing gridded weather
data.
Firstly how can I open this file and convert it to a numpy array?
and then how to plot in matplotlib, paticularly how to use the lat, lon and
nrows,ncols.
ncols=886
nrows=691
longitude west=111.975, east=156.275
latitude north=-9.975, south=-44.525
cell size=0.05
My attempt below:
--------------------------------------------------
onefile=open("E:/test_in/r19000117.txt", 'r')
map = Basemap(projection='merc',llcrnrlat=-40,urcrnrlat=-33,
 llcrnrlon=139.0,urcrnrlon=151.0,lat_ts=0,resolution='i')
map.drawcoastlines()
map.drawstates()
xi=N.linspace(111.975, 156.275, 886)
yi=N.linspace(-44.525, -9.975, 691)
x,y=map(*N.meshgrid(xi,yi))
plt.title('rainfall')
CS = map.contourf(x,y, onefile, cmap=plt.cm.jet)
l,b,w,h =0.1,0.1,0.8,0.8
cax = plt.axes([l+w+0.025, b, 0.025, h])
plt.colorbar(CS,cax=cax, drawedges=True)
plt.savefig((os.path.join(OutputFolder, 'rainfall.png')))
plt.show()
plt.close()

Dear all
I am a long time matplotlib user (under linux) but new to the list (second
post).
On of the things that bothers me the most is the inability of the standard
backend to change simple things (line color, labels, etc...).
I resorted to create a simple FrankeinBackend (based on the GtkAgg)
I guess I am not the only one missing this kind of features or
experimenting with similar ideas.
Some points comes to my mind:
Is there any special place where we can share and discuss this?
Is it better if I just open a googlecode place for my code.?
This is a recurring question and I have no idea what I am talking about
This is already done I am reinventing the wheel
Thanks
Federico
-- 
Y yo que culpa tengo de que ellas se crean todo lo que yo les digo?
-- Antonio Alducin --

On 2/29/2012 11:19 AM, jos...@gm... wrote:
> On Wed, Feb 29, 2012 at 2:09 PM, Skipper Seabold<jss...@gm...> wrote:
>> On Wed, Feb 29, 2012 at 2:02 PM,<jos...@gm...> wrote:
>> <snip>
>>>
>>> I'm not able to build matplotlib myself.
>>>
>>
>> If you're interested, I've been able to build on windows since
>> Christophe provides the dependencies by doing the following
>>
>> http://old.nabble.com/Building-on-Windows-%28Was-Re%3A-Calling-all-Mac-OSX-users!%29-td32283791.html
>>
>> I have detailed instructions written down somewhere...
>
> I'd rather postpone (indefinitely?) the pleasure of building 64bit
> binaries on Windows. Especially for python 3.2, the main point is to
> test with publicly available binaries.
>
> Thanks,
>
> Josef
>
>>
>> Skipper
>
Updated installers for Python 3.x are at 
<http://www.lfd.uci.edu/~gohlke/pythonlibs/#matplotlib>. Git ref d661a4871c.
Christoph

On 2/29/2012 10:46 AM, Benjamin Root wrote:
>
>
> On Wed, Feb 29, 2012 at 7:32 AM, <jos...@gm...
> <mailto:jos...@gm...>> wrote:
>
> Sorry for reporting this here, it's the only way for matplotlib I'm
> signed up for.
>
> I'm testing scikits statsmodels on Python 3.2
>
> plt.close(fig) in the graphics tests raises an error, python 3.2,
> matplotlib 1.2.x from Gohlke for Win 64, nose 1.0.0
>
> File
> "C:\Programs\Python32\lib\site-packages\matplotlib\_pylab_helpers.py",
> line 75, in destroy_fig
> for manager in Gcf.figs.values():
> RuntimeError: dictionary changed size during iteration
>
> https://github.com/statsmodels/statsmodels/issues/152
> https://github.com/statsmodels/statsmodels/blob/master/scikits/statsmodels/graphics/tests/test_boxplots.py#L15
>
> replacing plt.close(fig) with plt.close('all') removes the test errors
> in python 3.2
>
> Since I'm not familiar with the matplotlib details, I don't know what
> this means.
>
> Josef
>
>
> Could you double-check exactly which version you have? In the master
> branch, we made a change on Nov 14th to not delete dictionary items
> while iterating. I suspect Gohlke's build was from before then.
>
> Ben Root
>
That build is from November 9, 2011, git ref 75c9beccc7 
<https://github.com/matplotlib/matplotlib/tree/75c9beccc73ef7c8b686aec58610a3da225816ee> 
plus some additional minor changes (indentation and urllib) I was 
working on at that time.
It should be easy to just patch the installed version in order to fix 
this specific issue without recompiling matplotlib 
<https://github.com/matplotlib/matplotlib/commit/f3c8caed654c311f20952ad1cf3a96e1b0293664>
Christoph

Hi there,
John Hunter <jd...@gm...> schrieb am Wed, 29. Feb 07:04:
> On Feb 28, 2012, at 4:03 PM, Benjamin Root <ben...@ou...> wrote:
> > The size of the PNG will be based on the size of your figure object. When you create your figure, you can pass a figsize kwarg which takes a tuple of width, height in inches (defaults to 8 x 6, I think).
> > 
> > fig = plt.figure(figsize=(10.0, 6.0))
> 
> With an existing Figure instance, you can also call
> 
> fig.set_figwidth(width_inches)
> 
> before saving (or set_figheight or set_size_inches)
> 
> http://matplotlib.sourceforge.net/api/figure_api.html#matplotlib.figure.Figure
That helps, thanks a lot! :)
Regards, Keba

On Wed, Feb 29, 2012 at 2:09 PM, Skipper Seabold <jss...@gm...> wrote:
> On Wed, Feb 29, 2012 at 2:02 PM, <jos...@gm...> wrote:
> <snip>
>>
>> I'm not able to build matplotlib myself.
>>
>
> If you're interested, I've been able to build on windows since
> Christophe provides the dependencies by doing the following
>
> http://old.nabble.com/Building-on-Windows-%28Was-Re%3A-Calling-all-Mac-OSX-users!%29-td32283791.html
>
> I have detailed instructions written down somewhere...
I'd rather postpone (indefinitely?) the pleasure of building 64bit
binaries on Windows. Especially for python 3.2, the main point is to
test with publicly available binaries.
Thanks,
Josef
>
> Skipper

On Wed, Feb 29, 2012 at 2:02 PM, <jos...@gm...> wrote:
<snip>
>
> I'm not able to build matplotlib myself.
>
If you're interested, I've been able to build on windows since
Christophe provides the dependencies by doing the following
http://old.nabble.com/Building-on-Windows-%28Was-Re%3A-Calling-all-Mac-OSX-users!%29-td32283791.html
I have detailed instructions written down somewhere...
Skipper

On Wed, Feb 29, 2012 at 1:46 PM, Benjamin Root <ben...@ou...> wrote:
>
>
> On Wed, Feb 29, 2012 at 7:32 AM, <jos...@gm...> wrote:
>>
>> Sorry for reporting this here, it's the only way for matplotlib I'm
>> signed up for.
>>
>> I'm testing scikits statsmodels on Python 3.2
>>
>> plt.close(fig) in the graphics tests raises an error, python 3.2,
>> matplotlib 1.2.x from Gohlke for Win 64, nose 1.0.0
>>
>> File
>> "C:\Programs\Python32\lib\site-packages\matplotlib\_pylab_helpers.py",
>> line 75, in destroy_fig
>>  for manager in Gcf.figs.values():
>> RuntimeError: dictionary changed size during iteration
>>
>> https://github.com/statsmodels/statsmodels/issues/152
>>
>> https://github.com/statsmodels/statsmodels/blob/master/scikits/statsmodels/graphics/tests/test_boxplots.py#L15
>>
>> replacing plt.close(fig) with plt.close('all') removes the test errors
>> in python 3.2
>>
>> Since I'm not familiar with the matplotlib details, I don't know what
>> this means.
>>
>> Josef
>>
>
> Could you double-check exactly which version you have? In the master
> branch, we made a change on Nov 14th to not delete dictionary items while
> iterating. I suspect Gohlke's build was from before then.
I'm not able to tell the exact version
>>> import matplotlib
>>> matplotlib.__version__
'1.2.x'
but the creation date of the files that have been installed in site-packages is
Wednesday, ‎November ‎09, ‎2011, ‏‎5:09:50 AM
so before Nov 14th
I'm not able to build matplotlib myself.
Thanks,
Josef
>
> Ben Root
>

On Wed, Feb 29, 2012 at 7:32 AM, <jos...@gm...> wrote:
> Sorry for reporting this here, it's the only way for matplotlib I'm
> signed up for.
>
> I'm testing scikits statsmodels on Python 3.2
>
> plt.close(fig) in the graphics tests raises an error, python 3.2,
> matplotlib 1.2.x from Gohlke for Win 64, nose 1.0.0
>
> File
> "C:\Programs\Python32\lib\site-packages\matplotlib\_pylab_helpers.py",
> line 75, in destroy_fig
> for manager in Gcf.figs.values():
> RuntimeError: dictionary changed size during iteration
>
> https://github.com/statsmodels/statsmodels/issues/152
>
> https://github.com/statsmodels/statsmodels/blob/master/scikits/statsmodels/graphics/tests/test_boxplots.py#L15
>
> replacing plt.close(fig) with plt.close('all') removes the test errors
> in python 3.2
>
> Since I'm not familiar with the matplotlib details, I don't know what
> this means.
>
> Josef
>
>
Could you double-check exactly which version you have? In the master
branch, we made a change on Nov 14th to not delete dictionary items while
iterating. I suspect Gohlke's build was from before then.
Ben Root

On Wed, Feb 29, 2012 at 5:09 AM, Nils Wagner
<nw...@ia...>wrote:
> Hi all,
>
> I tried to combine an event with an annotation.
> However, the annotation is not visible, when I click on
> the curves.
> How can I resolve the problem ?
> The code is available at http://pastebin.com/QxKBZtaX
> Any pointer would be appreciated.
>
> Thanks in advance.
>
> Nils
>
>
Looks like a typo in your annotate function. For the xy kwarg, your
x-coordinate is set as "ind[0]". Perhaps you meant "xdata[ind][0]"?
Ben Root

David Craig :
> I'm trying to produce a map with 12 locations marked on it and straight
> lines plotted between each point and all other points on the map. I have
> the map with the locations ok but am having trouble getting the lines.
> My code is below anyone know how to do this??
> ...
> for i in range(len(lons)):
> for j in range(len(lons)):
> if i == j: continue
> m.plot([x[i],y[i]],[x[j],y[j]],'k')
I am not sure what do you really want, but perhaps replace the last 
cited line by:
m.plot([x[i],x[j]],[y[i],y[j]],'k')
==
All the best.
Jerzy Karczmarczuk
Caen, France

Hello ,
 i have this function :
def Graph(data):
 """Make the plot"""
 plt.colormaps()
 n=sc.shape(data)[2]
 ims=[]
 for i in range(n):
 mydata=data[:,:,i]
 im=plt.imshow(mydata,cmap=plt.get_cmap('jet'))
 ims.append([im])
 return ims
and i use it in my application like this:
fig=plt.gcf()
ani=ArtistAnimation(fig,result,interval=10,repeat=False)
plt.show()
How can i do it so ,for every 1 sec take a plot.
Thanks!

Sorry for reporting this here, it's the only way for matplotlib I'm
signed up for.
I'm testing scikits statsmodels on Python 3.2
plt.close(fig) in the graphics tests raises an error, python 3.2,
matplotlib 1.2.x from Gohlke for Win 64, nose 1.0.0
 File "C:\Programs\Python32\lib\site-packages\matplotlib\_pylab_helpers.py",
line 75, in destroy_fig
 for manager in Gcf.figs.values():
RuntimeError: dictionary changed size during iteration
https://github.com/statsmodels/statsmodels/issues/152
https://github.com/statsmodels/statsmodels/blob/master/scikits/statsmodels/graphics/tests/test_boxplots.py#L15
replacing plt.close(fig) with plt.close('all') removes the test errors
in python 3.2
Since I'm not familiar with the matplotlib details, I don't know what
this means.
Josef

On Feb 28, 2012, at 4:03 PM, Benjamin Root <ben...@ou...> wrote:
> The size of the PNG will be based on the size of your figure object. When you create your figure, you can pass a figsize kwarg which takes a tuple of width, height in inches (defaults to 8 x 6, I think).
> 
> fig = plt.figure(figsize=(10.0, 6.0))
With an existing Figure instance, you can also call
fig.set_figwidth(width_inches)
before saving (or set_figheight or set_size_inches)
http://matplotlib.sourceforge.net/api/figure_api.html#matplotlib.figure.Figure
JDH

Hi,
I'm trying to produce a map with 12 locations marked on it and straight 
lines plotted between each point and all other points on the map. I have 
the map with the locations ok but am having trouble getting the lines. 
My code is below anyone know how to do this??
Thanks
D
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
import matplotlib.lines as lines
import numpy as np
m = Basemap(llcrnrlon=-11.5,llcrnrlat=51.0,urcrnrlon=-4.5,urcrnrlat=56.0,
 resolution='i',projection='cass',lon_0=-4.36,lat_0=54.7)
lats = [53.5519317,53.8758499, 54.2894659, 55.2333142, 
54.9846137,54.7064869, 51.5296651, 51.5536226, 51.7653115, 52.1625237, 
52.5809163, 52.9393892]
lons = [-9.9413447, -9.9621948, -8.9583439, -7.6770179, -8.3771698, 
-8.7406732, -8.9529546, -9.7907148, -10.1531573, -10.4099873, 
-9.8456417, -9.4344939]
x, y = m(lons, lats)
for i in range(len(lons)):
 for j in range(len(lons)):
 if i == j: continue
 m.plot([x[i],y[i]],[x[j],y[j]],'k')
m.plot(x, y, 'bD', markersize=10)
m.drawcoastlines()
#m.drawmapboundary()
#plt.savefig('/media/A677-86E0/dot_size'+str(i)+'.png')
plt.show()

Hi all,
I tried to combine an event with an annotation.
However, the annotation is not visible, when I click on 
the curves.
How can I resolve the problem ?
The code is available at http://pastebin.com/QxKBZtaX
Any pointer would be appreciated.
Thanks in advance.
 Nils

Hi all,
I'm currently using the hist plot from matlibplot. Here I have the following
question: is there an easy way to set the bin content of a specified bin?
For example, I would like to call set_bin_content(bin_index=1, value=10000)
once instead of filling in 10000 times the same value.
Thank you very much.
Best regards
-- 
View this message in context: http://old.nabble.com/Setting-the-bin-content-of-a-histogram-tp33412466p33412466.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

> I think that what you want can be achieved more simply than contouring.
> I've attached a quick example of how I would do this. I'm assuming that
> the data has the same form as pcolormesh, i.e, the z values are measured
> at grid centers but we have coordinate of the edges. This means that we
> can easily check if a given pixel is above or below the contour level and
> then we simply draw the appropriate gridlines. I'm not coalescing
> neighboring lines, but that's also possible.
>
> If you're looking for something more complex than this simple in-or-out
> partitioning, this approach might still work but I'm not sure, in that
> case, that I understand what you're actually trying to do.
Eric, I'm amazed -- thanks a lot :)
Andreas.

On Tue, Feb 28, 2012 at 4:05 PM, Antoine Sirinelli <an...@mo...
> wrote:
> Hi,
>
> I have been using the event "draw_event" for a while with the old
> matplotlib 0.8. I have tested my program with newer versions but it seems
> the function connected to "draw_event" is never called.
>
> You can find an example of this there: https://gist.github.com/1901504
>
> With an old version the image color scale is rescaled when you zoom in.
> With matplotlib 1.x, no change is made on on the color scale.
>
> Have I missed something?
>
> Thanks in advance for your help.
>
> Antoine
>
Hey Antoine,
I'm not sure what changed in the mean time, but the problem is that the
instances of `az_imshow` aren't saved to anything (e.g. you should write
`implot2 = az_imshow(data, aspect='auto')`). I *think* what happens is that
you don't have any references to the object so it gets garbage-collected
and the events you create disappear. That's my made-up explanation.
-Tony

Hi
I am struggling with making graph transparent. Basically, i have wxpython
app with graph located on panel. The panel has bitmap background so i
wanted to get rid of white background of chart in order to make whole thing
nice looking.
However, i can't solve it. I was trying setting with patch.set_alpha or
set facecolor but no satisfying results.
Is there a way to get what i was trying to do?
Now i am thinkinig of generating png file and load to app but i would like
to avoid it
Thanks in advance for all clues
best regards

I think that what you want can be achieved more simply than contouring. I've attached a quick example of how I would do this. I'm assuming that the data has the same form as pcolormesh, i.e, the z values are measured at grid centers but we have coordinate of the edges. This means that we can easily check if a given pixel is above or below the contour level and then we simply draw the appropriate gridlines. I'm not coalescing neighboring lines, but that's also possible. 
If you're looking for something more complex than this simple in-or-out partitioning, this approach might still work but I'm not sure, in that case, that I understand what you're actually trying to do. 
-Eric
p.s. two loops aren't necessary, really.

On Tue, Feb 28, 2012 at 3:48 PM, Mario Fuest <mar...@ao...> wrote:
> Hi there,
>
> Currently i use these commands to layout and save my figures:
>
> > figure
> > ...
> > gca.set_aspect('equal')
> > gca.autoscale(tight=True)
> > ...
> > plt.savefig('fpp.png', bbox_inches='tight', pad_inches=0)
>
> I would like to set the width of this png file, how to do that? If
> savefig() does not support setting the width, maybe I can set the width
> of my xaxis?
>
> Thanks in advance, Keba
>
>
The size of the PNG will be based on the size of your figure object. When
you create your figure, you can pass a figsize kwarg which takes a tuple of
width, height in inches (defaults to 8 x 6, I think).
fig = plt.figure(figsize=(10.0, 6.0))
I hope that helps!
Ben Root

Hi,
Sorry for the late reply.
Tony Yu <ts...@gm...> schrieb am Tue, 03. Jan 17:07:
> You can try
> 
> >>> ax.set_aspect('equal')
> >>> ax.autoscale(tight=True)
> 
> The order doesn't seem to matter.
That works well, thank you! :)
Kind regars, Keba.

Hi there,
Currently i use these commands to layout and save my figures:
 > figure
 > ...
 > gca.set_aspect('equal')
 > gca.autoscale(tight=True)
 > ...
 > plt.savefig('fpp.png', bbox_inches='tight', pad_inches=0)
I would like to set the width of this png file, how to do that? If
savefig() does not support setting the width, maybe I can set the width
of my xaxis?
Thanks in advance, Keba