Revision: 4422
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4422&view=rev
Author: jswhit
Date: 2007-11-22 08:17:03 -0800 (Thu, 22 Nov 2007)
Log Message:
-----------
fix quiver_demo
Modified Paths:
--------------
trunk/toolkits/basemap/Changelog
trunk/toolkits/basemap/examples/quiver_demo.py
Modified: trunk/toolkits/basemap/Changelog
===================================================================
--- trunk/toolkits/basemap/Changelog 2007-11-22 15:45:42 UTC (rev 4421)
+++ trunk/toolkits/basemap/Changelog 2007-11-22 16:17:03 UTC (rev 4422)
@@ -1,4 +1,4 @@
-version 0.9.7 (svn revision 4421)
+version 0.9.7 (svn revision 4422)
* fixed bug in drawlsmask for 'moll','robin' and 'sinu'
projections.
* added lake_color keyword to fillcontinents.
Modified: trunk/toolkits/basemap/examples/quiver_demo.py
===================================================================
--- trunk/toolkits/basemap/examples/quiver_demo.py 2007-11-22 15:45:42 UTC
(rev 4421)
+++ trunk/toolkits/basemap/examples/quiver_demo.py 2007-11-22 16:17:03 UTC
(rev 4422)
@@ -1,6 +1,7 @@
from matplotlib.toolkits.basemap import Basemap
-from pylab import show, title, arange, meshgrid, cm, figure, sqrt, \
- colorbar, axes, gca, reshape, array, Float32, quiverkey
+import numpy
+from pylab import show, title, arange, meshgrid, cm, figure, \
+ colorbar, axes, gca, reshape, quiverkey
# read in data.
file = open('fcover.dat','r')
@@ -12,9 +13,9 @@
ul.append(float(l[0]))
vl.append(float(l[1]))
pl.append(float(l[2]))
-u = reshape(array(ul,Float32),(nlats,nlons))
-v = reshape(array(vl,Float32),(nlats,nlons))
-p = reshape(array(pl,Float32),(nlats,nlons))
+u = reshape(numpy.array(ul,numpy.float32),(nlats,nlons))
+v = reshape(numpy.array(vl,numpy.float32),(nlats,nlons))
+p = reshape(numpy.array(pl,numpy.float32),(nlats,nlons))
lats1 = -90.+dellat*arange(nlats)
lons1 = -180.+dellon*arange(nlons)
lons, lats = meshgrid(lons1, lats1)
@@ -61,7 +62,7 @@
# and interpolation).
nxv = 41; nyv = 41
nxp = 101; nyp = 101
-spd = sqrt(u**2+v**2)
+spd = numpy.sqrt(u**2+v**2)
udat, vdat, xv, yv = m.transform_vector(u,v,lons1,lats1,nxv,nyv,returnxy=True)
pdat, xp, yp = m.transform_scalar(p,lons1,lats1,nxp,nyp,returnxy=True)
# create a figure, add an axes.
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