Jeff Whitaker wrote: > Pablo Romero wrote: > >> Hello, >> I have a question about plotting pressure contours with matplotlib. >> >> I've seen other applications using matplotlib where the pressure contours >> are drawn with annoted text "H" and "L" characters being drawn in the >> centers of closed contours... >> >> i.e., if there is a closed contour line, and its value is over a certain >> threshold value, plot an "H" to indicate a "high pressure zone", else plot a >> "L" to indicate a "low pressure zone." >> >> This is standard weather map plotting stuff, and Ive definitely seen other >> plots produced using matplotlib that inlude these annoted "H" and "L" >> characters. In the application Ive seen, the process was most definitely >> automated, since it was applied to a large number of plots (i.e., the "H"'s >> and "L"'s werent added manually, since its not feasible). Unfortunately, the >> creators of these plots are not willing to share their technique. >> >> I dont know how to set this up with matplotlib. >> Does anyone have any experience with this??? >> Is there any way to identify a "closed contour" & its value from a "contour >> class" that is returned from matplotlib's contour() function??? >> >> > Pablo: There is no easy way to do this in matplotlib. I guess you > would try to find closed contours with no other contours inside them, > the place the label at the center of that region. This might end up > being quite tricky. I see from your example that there are many such > regions that are not labelled (some are, some aren't). > > Or, you might just try to find local minima and maxima in your gridded > data and plot H's and L's there. This ought to be easier. > > -Jeff > > Pablo: Regarding the latter method, here's a relevant thread from the scipy list:
http://www.nabble.com/Finding-local-minima-of-greater-than-a-given-depth-td18988309.html -Jeff ------------------------------------------------------------------------------ Open Source Business Conference (OSBC), March 24-25, 2009, San Francisco, CA -OSBC tackles the biggest issue in open source: Open Sourcing the Enterprise -Strategies to boost innovation and cut costs with open source participation -Receive a $600 discount off the registration fee with the source code: SFAD http://p.sf.net/sfu/XcvMzF8H _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
