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.))
This was sent by the SourceForge.net collaborative development platform, the
world's largest Open Source development site.
-------------------------------------------------------------------------
SF.Net email is sponsored by: The Future of Linux Business White Paper
from Novell. From the desktop to the data center, Linux is going
mainstream. Let it simplify your IT future.
http://altfarm.mediaplex.com/ad/ck/8857-50307-18918-4
_______________________________________________
Matplotlib-checkins mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/matplotlib-checkins
