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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
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!
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 _________________________________________________________________ Hotmail: Trusted email with Microsoft’s powerful SPAM protection. https://signup.live.com/signup.aspx?id=60969