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Showing 3 results of 3

From: Jeff W. <js...@fa...> - 2010年05月13日 23:20:20
On 5/13/10 3:22 PM, Reckoner wrote:
> How do I know if the angular domain for a map is
>
> Longitude \in {0,360}
>
> or
>
> Longitude \in {-180,180}?
>
> Or, for that matter,
>
> Latitude \in {-90,90}
>
> as opposed to:
>
> Latitude \in {0,180}
>
> Thanks!
>
>
You can query the Basemap instance variables lonmin, lonmax, latmin, latmax.
-Jeff
-- 
Jeffrey S. Whitaker Phone : (303)497-6313
Meteorologist FAX : (303)497-6449
NOAA/OAR/PSD R/PSD1 Email : Jef...@no...
325 Broadway Office : Skaggs Research Cntr 1D-113
Boulder, CO, USA 80303-3328 Web : http://tinyurl.com/5telg
From: Reckoner <rec...@gm...> - 2010年05月13日 21:22:48
How do I know if the angular domain for a map is
Longitude \in {0,360}
or
Longitude \in {-180,180}?
Or, for that matter,
Latitude \in {-90,90}
as opposed to:
Latitude \in {0,180}
Thanks!
From: Sandy S. <cd...@li...> - 2010年05月13日 18:18:51
Hi all,
I am new born in Python ( 1 week old)
 
Can you pls help to understand the basic concept of
matpltlib interacting with Python
 
the mutter is:
during debugging the debug processes stacks when fig is created
for example, in code
import matplotlib.pyplot as plt
from pylab import *
x= 23;
y = 111111;
print(23456)
plt.plot(range(10))
plot([1,2,3])
show()
print(11111111)
a=888
it is impossible after show() to continue debug in any IDE for example Wingwar
or pythonxy 
as stated in
Beginning Python Visualization - Crafting Visual Transformation Scripts (2009)
page 187
Note If you’re not using matplotlib interactively in Python, be sure
to call the function show() after all
graphs have been generated, as it enters a user interface main loop
that will stop execution of the rest of
your code. The reason behind this behavior is that matplotlib is
designed to be embedded in a GUI as well.
In Windows, if you’re working from interactive Python, you need only
issue show() once; close the figures
(or figures) to return to the shell. Subsequent plots will be drawn
automatically without issuing show(), and
you’ll be able to plot graphs interactively.
I tried the code 
 
 
with threads
as suggested in 
http://matplotlib.sourceforge.net/users/shell.html
 
code
taken from people
from wingware
http://www.wingware.com/doc/howtos/matplotlib
 
 
from threading import Timer
t = Timer(0, show)
t.start()
 but still debugging process gets
stuck...
import
matplotlib as mpl
from
pylab import plot,show,close,ion
x
= range(10)
plot(x)
'show()'
from
threading import Timer
t
= Timer(0, show)
t.start()
'ion()
the same result with or not'
a
= 1222233
y
= [2, 8, 3, 9, 4]
plot(y)
 
zz=
12346
print(44444)
Best Regards
Sandy
 		 	 		 
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Showing 3 results of 3

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