matplotlib-users Mailing List for matplotlib

Patrick Marsh wrote:
> Hi Everyone,
>
> First email here...
>
> I am plotting meteorological data using matplotlib and basemap - and 
> can do this just fine. However, I would like to backout the 
> coordinates being used for the contours that are plotted.
>
> For example, if I were to contour windspeed every 5 m/s and plot this 
> (which I can do just fine), I would like to save a copy of the lat, 
> lon pairs as a text file. However, I cannot for the life of me figure 
> out how to do this. I have a feeling it is pretty simple and I'm just 
> over looking something that can do this. Any help would be appreciated.
>
> Thanks,
>
> -Patrick Marsh
> Graduate Student
> School of Meteorology
> University of Oklahoma
Patrick: contour and contourf return a ContourSet object. 
ContourSet.collections is a matplotlib LineCollection (for contour) or a 
PolyCollection (for contourf). You can retrieve the x,y (map 
projection) coordinates from these, and transfer them back to lat/lon 
coordinates using the Basemap instance via
lons,lats = map(x,y,inverse=True) # map is a Basemap instance.
See http://matplotlib.sourceforge.net/doc/html/api/collections_api.html 
for more info on matplotlib collection objects.
HTH,
-Jeff
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-- 
Jeffrey S. Whitaker Phone : (303)497-6313
NOAA/OAR/CDC R/PSD1 FAX : (303)497-6449
325 Broadway Boulder, CO, USA 80305-3328

Hi Everyone,
First email here...
I am plotting meteorological data using matplotlib and basemap - and can do
this just fine. However, I would like to backout the coordinates being used
for the contours that are plotted.
For example, if I were to contour windspeed every 5 m/s and plot this (which
I can do just fine), I would like to save a copy of the lat, lon pairs as a
text file. However, I cannot for the life of me figure out how to do this.
I have a feeling it is pretty simple and I'm just over looking something
that can do this. Any help would be appreciated.
Thanks,
-Patrick Marsh
Graduate Student
School of Meteorology
University of Oklahoma

On Sat, Aug 2, 2008 at 4:18 AM, sa6113 <s.p...@gm...> wrote:
>
> No, unfortuantly matplotlib.axes dosen't have this attribute.
>
You can find demos in matplotlib examples of set_xlim() :
in manual_axis.py :
fig = figure(facecolor='white')
ax = fig.add_subplot(111, frame_on=False)
ax.plot(x, y, 'd', markersize=8, markerfacecolor='blue')
ax.set_xlim(0, 200)
ax.set_ylim(-1.5, 1.5)

On Saturday 02 August 2008 4:56:06 am David Cournapeau wrote:
> Hi,
>
> I am using matplotlib for all my figure needs in academic papers,
> but I would like to convert some of my figures (generally exported ni
> eps and pdf) in black and white. I tried using colormaps, but when using
> several axes, I can't convert them all in one shot. Is there any way to
> say (in say savefig) to use a given colormap (gray levels in my case)
> for the whole figure ? Or is colormap not the way to go ?
Have you tried setting the default colormap in your rc settings?

Anand Patil wrote:
> Hi all,
>
> I've decided to hitch my wagon to the enthought distribution, which 
> comes with matplotlib 0.91.2. <http://0.91.2.>.. so when I try to use 
> basemap I get 
>
> <type 'exceptions.ImportError'>: your matplotlib is too old - basemap 
> requires version 0.98 or 
> higher, you have version 0.91.2
>
> I tried just installing matplotlib from svn, but it doesn't like the 
> version of numpy in ETS. What's the latest version of basemap I can 
> use with matplotlib 0.91.2?
>
> Thanks,
> Anand
Anand: I honestly don't know. I do know if you upgrade numpy to 1.1, 
you can upgrade matplotlib/basemap to the latest versions.
-Jeff
-- 
Jeffrey S. Whitaker Phone : (303)497-6313
NOAA/OAR/CDC R/PSD1 FAX : (303)497-6449
325 Broadway Boulder, CO, USA 80305-3328

Hi all,
I've decided to hitch my wagon to the enthought distribution, which comes
with matplotlib 0.91.2... so when I try to use basemap I get
<type 'exceptions.ImportError'>: your matplotlib is too old - basemap
requires version 0.98 or
higher, you have version 0.91.2
I tried just installing matplotlib from svn, but it doesn't like the version
of numpy in ETS. What's the latest version of basemap I can use with
matplotlib 0.91.2?
Thanks,
Anand

Hi,
 I am using matplotlib for all my figure needs in academic papers,
but I would like to convert some of my figures (generally exported ni
eps and pdf) in black and white. I tried using colormaps, but when using
several axes, I can't convert them all in one shot. Is there any way to
say (in say savefig) to use a given colormap (gray levels in my case)
for the whole figure ? Or is colormap not the way to go ?
thanks,
David

No, unfortuantly matplotlib.axes dosen't have this attribute.
sa6113 wrote:
> 
> I am using matplotlib to draw and show my plot, now I want to know how may
> I add manual axes scale to it.
> I need to manually show the axes scale (from min to max value that I have)
> the below is some part of my code.
> .
> .
> .
> from matplotlib.figure import Figure
> 
> self.fig = Figure( figsize =5, 4 ))
> yLine = self.ax.plot( xData, yData, 'ro-', linewidth = 2 )
> fitLine = self.ax.plot( xData, fitData,'bo-', linewidth = 1 )
> self.ax.set_xlabel('X')
> self.ax.set_ylabel('Y )
> 
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Alan G Isaac wrote:
> 
> I read Jonathan's point as being: there is no such
> "linking" possibility with such demo scripts.
> This indeed is why I questioned the relevance of
> the LGPL for such things, earlier on, even though
> the LGPL is in principle (and often in practice)
> a much more user friendly license than the GPL.
> 
I agree. So, I've modified the license of the demos to "public domain".
Thanks for the interesting discussion
Eli
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On Fri, 1 Aug 2008, eliben apparently wrote:
> if you link my module into your code, you won't have to 
> release your code,
I read Jonathan's point as being: there is no such
"linking" possibility with such demo scripts.
This indeed is why I questioned the relevance of
the LGPL for such things, earlier on, even though
the LGPL is in principle (and often in practice)
a much more user friendly license than the GPL.
Again, not all code needs the same license,
and simple scripts seem (to me) to beg to
be placed in the public domain.
But of course the key rule is always:
s/he who holds the copyright picks the license.
Cheers,
Alan Isaac

JonathansCorner.com wrote:
> 
> I personally regard viral licenses with caution: that is, if the copyright
> says, "Don't build on or extend this unless you want your work to be
> covered
> by my chosen license," I will be extremely cautious about building off of
> them. Under the LGPV, if I incorporate one of your demos into my own 2000
> line program, your requirements of fairness require me to place my entire
> 2000 line program under the terms of the license you chose.
> 
> This is a significant deterrent to some programmers.
> 
I think you're mixing up GPL and LGPL here. LGPL was born especially for the
purpose of being copyleft but not viral. With LGPL, if you link my module
into your code, you won't have to release your code, only my module's. With
GPL, you'd have to open both.
While http://www.scipy.org/License_Compatibility is convincing, it also
speaks about GPL in this manner, giving LGPL only a short after-thought in
the end. 
I will however consider lowering the license bar for my demo code, since it
relies too much on BSD-licensed MPL stuff.
Eli
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