SF.net SVN: matplotlib: [4558] trunk/py4science/examples

[<js...@us...>]

Revision: 4558
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4558&view=rev
Author:   jswhit
Date:     2007-12-03 05:27:16 -0800 (Mon, 03 Dec 2007)

Log Message:
-----------
more cleanups of example scripts

Modified Paths:
--------------
    trunk/py4science/examples/basemap1.py
    trunk/py4science/examples/basemap2.py
    trunk/py4science/examples/basemap3.py
    trunk/py4science/examples/basemap4.py
    trunk/py4science/examples/basemap5.py

Modified: trunk/py4science/examples/basemap1.py
===================================================================
--- trunk/py4science/examples/basemap1.py	2007-12-03 13:20:19 UTC (rev 4557)
+++ trunk/py4science/examples/basemap1.py	2007-12-03 13:27:16 UTC (rev 4558)
@@ -1,12 +1,8 @@
 import pylab, numpy
 from matplotlib.toolkits.basemap import Basemap
-# create figure.
-fig = pylab.figure()
 # create map by specifying lat/lon values at corners.
-resolution = 'l'
-projection = 'lcc'
-lat_0 = 60
-lon_0 = -50
+resolution = 'l'; projection = 'lcc'
+lat_0 = 60; lon_0 = -50
 llcrnrlat, llcrnrlon = 8, -92
 urcrnrlat, urcrnrlon  = 39, 63
 m = Basemap(lat_0=lat_0,lon_0=lon_0,\

Modified: trunk/py4science/examples/basemap2.py
===================================================================
--- trunk/py4science/examples/basemap2.py	2007-12-03 13:20:19 UTC (rev 4557)
+++ trunk/py4science/examples/basemap2.py	2007-12-03 13:27:16 UTC (rev 4558)
@@ -1,14 +1,9 @@
 import pylab, numpy
 from matplotlib.toolkits.basemap import Basemap
-# create figure.
-fig = pylab.figure()
 # create map by specifying width and height in km.
-resolution = 'l'
-projection = 'lcc'
-lon_0 = -50
-lat_0 = 60
-width = 12000000
-height = 0.75*width
+resolution = 'l'; projection = 'lcc'
+lon_0 = -50; lat_0 = 60
+width = 12000000; height = 0.75*width
 m = Basemap(lon_0=lon_0,lat_0=lat_0,\
             width=width,height=height,\
             resolution=resolution,projection=projection)

Modified: trunk/py4science/examples/basemap3.py
===================================================================
--- trunk/py4science/examples/basemap3.py	2007-12-03 13:20:19 UTC (rev 4557)
+++ trunk/py4science/examples/basemap3.py	2007-12-03 13:27:16 UTC (rev 4558)
@@ -1,16 +1,10 @@
 import pylab, numpy
 from matplotlib.toolkits.basemap import Basemap
-# create figure.
-fig = pylab.figure()
 # create map by specifying width and height in km.
-resolution = 'l'
-lon_0 = -50
-lat_0 = 60
-projection = 'lcc'
-width = 12000000
-height = 0.75*width
-m = Basemap(lon_0=lon_0,lat_0=lat_0,\
-            width=width,height=height,\
+resolution = 'l'; projection = 'lcc'
+lon_0 = -50; lat_0 = 60
+width = 12000000; height = 0.75*width
+m = Basemap(lon_0=lon_0,lat_0=lat_0,width=width,height=height,
             resolution=resolution,projection=projection)
 # nylat, nylon are lat/lon of New York
 nylat = 40.78

Modified: trunk/py4science/examples/basemap4.py
===================================================================
--- trunk/py4science/examples/basemap4.py	2007-12-03 13:20:19 UTC (rev 4557)
+++ trunk/py4science/examples/basemap4.py	2007-12-03 13:27:16 UTC (rev 4558)
@@ -1,7 +1,5 @@
 import pylab, numpy
 from matplotlib.toolkits.basemap import Basemap
-# create figure.
-fig = pylab.figure()
 # create map by specifying width and height in km.
 resolution = 'l'
 lon_0 = -50
@@ -9,8 +7,7 @@
 projection = 'lcc'
 width = 12000000
 height = 0.75*width
-m = Basemap(lon_0=lon_0,lat_0=lat_0,\
-            width=width,height=height,\
+m = Basemap(lon_0=lon_0,lat_0=lat_0,width=width,height=height,
             resolution=resolution,projection=projection)
 m.drawcoastlines(linewidth=0.5)
 m.drawmapboundary(fill_color='aqua')

Modified: trunk/py4science/examples/basemap5.py
===================================================================
--- trunk/py4science/examples/basemap5.py	2007-12-03 13:20:19 UTC (rev 4557)
+++ trunk/py4science/examples/basemap5.py	2007-12-03 13:27:16 UTC (rev 4558)
@@ -7,8 +7,6 @@
 sst = ncfile.variables['analysed_sst'][:]
 lats = ncfile.variables['lat'][:]
 lons = ncfile.variables['lon'][:]
-# set colormap
-cmap = pylab.cm.gist_ncar
 # create Basemap instance for mollweide projection.
 # coastlines not used, so resolution set to None to skip
 # continent processing (this speeds things up a bit)
@@ -16,7 +14,7 @@
 # compute map projection coordinates of grid.
 x, y = m(*numpy.meshgrid(lons, lats))
 # plot with pcolor
-im = m.pcolormesh(x,y,sst,shading='flat',cmap=cmap)
+im = m.pcolormesh(x,y,sst,shading='flat',cmap=pylab.cm.gist_ncar)
 # draw parallels and meridians, but don't bother labelling them.
 m.drawparallels(numpy.arange(-90.,120.,30.))
 m.drawmeridians(numpy.arange(0.,420.,60.))


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