The default, TkAgg. I've tried the others as I have some strange behavior
with TkAgg, but they don't work at all... In fact, I think I'll start
another thread, because the problem I have is now predictable... I would be
interested to see if there's a solution...
John wrote:
> Thanks Eric...
>
> Just a question, I've noticed that if I put enough resolution in lev_exp
> (ie. lev_exp=arange(0,log10(z.max()),0.15) #or more is even nicer! Then
> the file size gets quite large due to all the colors. Any suggestions? I
> know its a separate issue...
>
> -
Thanks Eric...
Just a question, I've noticed that if I put enough resolution in lev_exp
(ie. lev_exp=arange(0,log10(z.max()),0.15) #or more is even nicer! Then the
file size gets quite large due to all the colors. Any suggestions? I know
its a separate issue...
-john
John,
Attached is a script illustrating how to make contourf plots with a log
colorscale. I made some improvements in svn, as noted in the script,
but you can still do it with the regular mpl release. All of this
should carry through to basemap with no changes in basemap.
Eric
John wrote:
John,
We actually have the facility for using a log color scale directly,
including handling out-of-range values, but I confess I am having a
little trouble with it. I can't pursue it right now, but probably can
do so this evening. It looks like the problem is a bug, but I am not sure.
Eric
John wrote:
> Well, it seems like I'm making progress, but it's stll not the plot
> I'm hoping to produce. Something seems strange. First, it does create
> a contourf plot, but I really need to take log(zdata) and use imshow
> (which seems to handly the INF issue, wheras contourf crashes). On
>
Well, it seems like I'm making progress, but it's stll not the plot I'm
hoping to produce. Something seems strange. First, it does create a contourf
plot, but I really need to take log(zdata) and use imshow (which seems to
handly the INF issue, wheras contourf crashes). On another issue though,
onc
Hold on, see my errors, trying again
-
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Shoot, still getting the error discussed above:
ValueError: shape mismatch: objects cannot be broadcast to a single
shapeFile "c:\07_jfb\Programming\Python\mod_flexpart\plotPickle.py", line
30, in
fp_plot(z);
File "c:\07_jfb\Programming\Python\mod_flexpart\plotflex.py", line 55, in
fp_plot
cs
John wrote:
> No, it didn't get cut off, I just decided to move that section forward
> before the code and forgot to delete that line ;)
>
> Okay, let's see...
>
> 1) Yes, I've left them in for the moment since I saw that they will be
> ignored, and I'm playing with different projections... s
Also, I don't know if it's related, but I'm getting this Error / Warning:
UnboundLocalError: local variable 'pylab' referenced before assignment
Traceback:
File
"c:\Python25\lib\site-packages\matplotlib\toolkits\basemap\basemap.py", line
2232, in imshow
ax = pylab.gca()
As my script calls th
No, it didn't get cut off, I just decided to move that section forward
before the code and forgot to delete that line ;)
Okay, let's see...
1) Yes, I've left them in for the moment since I saw that they will be
ignored, and I'm playing with different projections... seems it doesn't
hurt.
2) Yes,
John wrote:
> Jeff,
>
> Thanks for the quick reply, below is my plotting code. Here are the
> answers to your question about my arrray:
>
> >>> type(Zdat); type(zdat)
>
>
> >>> shape(Zdat); shape(zdat)
> (180, 360)
> (596, 596)
> >>> shape(lons); shape(x)
> (360,)
> (596, 596)
> >>> shape(lats
Jeff,
Thanks for the quick reply, below is my plotting code. Here are the answers
to your question about my arrray:
>>> type(Zdat); type(zdat)
>>> shape(Zdat); shape(zdat)
(180, 360)
(596, 596)
>>> shape(lons); shape(x)
(360,)
(596, 596)
>>> shape(lats); shape(y)
(180,)
(596, 596)
I would like
John wrote:
> Can anyone explain this??
>
> >>> N.max(Zdat) #this is numpy.max function
> 1302.73592859
> >>> zdat,x,y =
> m.transform_scalar(Zdat,lons,lats,nx,ny,returnxy=True,order=0)
> >>> N.max (zdat)
> 0.0
> >>>
>
> In this case, Zdat is my original array sent to my plotting function.
>
Can anyone explain this??
>>> N.max(Zdat) #this is numpy.max function
1302.73592859
>>> zdat,x,y = m.transform_scalar
(Zdat,lons,lats,nx,ny,returnxy=True,order=0)
>>> N.max(zdat)
0.0
>>>
In this case, Zdat is my original array sent to my plotting function. It
seems to lose all it's data when I r
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