Revision: 6969
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6969&view=rev
Author: jswhit
Date: 2009-03-08 13:29:00 +0000 (Sun, 08 Mar 2009)
Log Message:
-----------
streamline extrema function
Modified Paths:
--------------
trunk/toolkits/basemap/examples/plothighsandlows.py
Modified: trunk/toolkits/basemap/examples/plothighsandlows.py
===================================================================
--- trunk/toolkits/basemap/examples/plothighsandlows.py 2009-03-08 13:18:34 UTC
(rev 6968)
+++ trunk/toolkits/basemap/examples/plothighsandlows.py 2009-03-08 13:29:00 UTC
(rev 6969)
@@ -9,15 +9,14 @@
from scipy.ndimage.filters import minimum_filter, maximum_filter
def extrema(mat,mode='wrap',window=10):
+ """find the indices of local extrema (min and max)
+ in the input array."""
mn = minimum_filter(mat, size=window, mode=mode)
mx = maximum_filter(mat, size=window, mode=mode)
# (mat == mx) true if pixel is equal to the local max
- # The next computation suppresses responses where
- # the function is flat.
- local_maxima = ((mat == mx) & (mat != mn))
- local_minima = ((mat == mn) & (mat != mx))
- # Get the indices of the maxima, minima
- return np.nonzero(local_minima), np.nonzero(local_maxima)
+ # (mat == mn) true if pixel is equal to the local in
+ # Return the indices of the maxima, minima
+ return np.nonzero(mat == mn), np.nonzero(mat == mx)
if len(sys.argv) < 2:
print 'enter date to plot (YYYYMMDDHH) on command line'
@@ -65,8 +64,8 @@
# plot lows as blue L's, with min pressure value underneath.
xyplotted = []
# don't plot if there is already a L or H within dmin meters.
-dmin = 500000
yoffset = 0.022*(m.ymax-m.ymin)
+dmin = yoffset
for x,y,p in zip(xlows, ylows, lowvals):
if x < m.xmax and x > m.xmin and y < m.ymax and y > m.ymin:
dist = [np.sqrt((x-x0)**2+(y-y0)**2) for x0,y0 in xyplotted]
This was sent by the SourceForge.net collaborative development platform, the
world's largest Open Source development site.
------------------------------------------------------------------------------
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-checkins mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/matplotlib-checkins