SF.net SVN: matplotlib: [5337] trunk/py4science/examples

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

Revision: 5337
          http://matplotlib.svn.sourceforge.net/matplotlib/?rev=5337&view=rev
Author:   jswhit
Date:     2008-05-30 13:25:57 -0700 (Fri, 30 May 2008)

Log Message:
-----------
convert to plt/np namespace, fix Basemap import for version 0.99 (mpl_toolkits)

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	2008-05-30 20:05:57 UTC (rev 5336)
+++ trunk/py4science/examples/basemap1.py	2008-05-30 20:25:57 UTC (rev 5337)
@@ -1,5 +1,5 @@
-import pylab, numpy
-from matplotlib.toolkits.basemap import Basemap
+from mpl_toolkits.basemap import Basemap
+import matplotlib.pyplot as plt
 # create map by specifying lat/lon values at corners.
 resolution = 'l'; projection = 'lcc'
 lat_0 = 60; lon_0 = -50
@@ -18,5 +18,5 @@
 # draw states and countries.
 m.drawcountries()
 m.drawstates()
-pylab.title('map region specified using corner lat/lon values')
-pylab.show()
+plt.title('map region specified using corner lat/lon values')
+plt.show()

Modified: trunk/py4science/examples/basemap2.py
===================================================================
--- trunk/py4science/examples/basemap2.py	2008-05-30 20:05:57 UTC (rev 5336)
+++ trunk/py4science/examples/basemap2.py	2008-05-30 20:25:57 UTC (rev 5337)
@@ -1,5 +1,5 @@
-import pylab, numpy
-from matplotlib.toolkits.basemap import Basemap
+from mpl_toolkits.basemap import Basemap
+import matplotlib.pyplot as plt
 # create map by specifying width and height in km.
 resolution = 'l'; projection = 'lcc'
 lon_0 = -50; lat_0 = 60
@@ -12,5 +12,5 @@
 m.fillcontinents(color='coral',lake_color='aqua')
 m.drawcountries()
 m.drawstates()
-pylab.title('map region specified using width and height')
-pylab.show()
+plt.title('map region specified using width and height')
+plt.show()

Modified: trunk/py4science/examples/basemap3.py
===================================================================
--- trunk/py4science/examples/basemap3.py	2008-05-30 20:05:57 UTC (rev 5336)
+++ trunk/py4science/examples/basemap3.py	2008-05-30 20:25:57 UTC (rev 5337)
@@ -1,5 +1,5 @@
-import pylab, numpy
-from matplotlib.toolkits.basemap import Basemap
+from mpl_toolkits.basemap import Basemap
+import matplotlib.pyplot as plt
 # create map by specifying width and height in km.
 resolution = 'l'; projection = 'lcc'
 lon_0 = -50; lat_0 = 60
@@ -23,14 +23,14 @@
 m.drawgreatcircle(nylon,nylat,lonlon,lonlat,linewidth=2,color='k')
 # put the names of the cities to the left of each dot, offset
 # by a little. Use a bold font.
-pylab.text(ny_x-100000,ny_y+100000,'New York',fontsize=12,\
+plt.text(ny_x-100000,ny_y+100000,'New York',fontsize=12,\
            color='k',horizontalalignment='right',fontweight='bold')
-pylab.text(lon_x-100000,lon_y+100000,'London',fontsize=12,\
+plt.text(lon_x-100000,lon_y+100000,'London',fontsize=12,\
            color='k',horizontalalignment='right',fontweight='bold')
 m.drawcoastlines(linewidth=0.5)
 m.drawmapboundary(fill_color='aqua')
 m.fillcontinents(color='coral',lake_color='aqua')
 m.drawcountries()
 m.drawstates()
-pylab.title('NY to London Great Circle')
-pylab.show()
+plt.title('NY to London Great Circle')
+plt.show()

Modified: trunk/py4science/examples/basemap4.py
===================================================================
--- trunk/py4science/examples/basemap4.py	2008-05-30 20:05:57 UTC (rev 5336)
+++ trunk/py4science/examples/basemap4.py	2008-05-30 20:25:57 UTC (rev 5337)
@@ -1,5 +1,6 @@
-import pylab, numpy
-from matplotlib.toolkits.basemap import Basemap
+from mpl_toolkits.basemap import Basemap
+import matplotlib.pyplot as plt
+import numpy as np
 # create map by specifying width and height in km.
 resolution = 'l'
 lon_0 = -50
@@ -16,9 +17,9 @@
 m.drawstates()
 # label meridians where they intersect the left, right and bottom
 # of the plot frame.
-m.drawmeridians(numpy.arange(-180,181,20),labels=[1,1,0,1])
+m.drawmeridians(np.arange(-180,181,20),labels=[1,1,0,1])
 # label parallels where they intersect the  left, right and top
 # of the plot frame.
-m.drawparallels(numpy.arange(-80,81,20),labels=[1,1,1,0])
-pylab.title('labelled meridians and parallels',y=1.075)
-pylab.show()
+m.drawparallels(np.arange(-80,81,20),labels=[1,1,1,0])
+plt.title('labelled meridians and parallels',y=1.075)
+plt.show()

Modified: trunk/py4science/examples/basemap5.py
===================================================================
--- trunk/py4science/examples/basemap5.py	2008-05-30 20:05:57 UTC (rev 5336)
+++ trunk/py4science/examples/basemap5.py	2008-05-30 20:25:57 UTC (rev 5337)
@@ -1,5 +1,6 @@
-from matplotlib.toolkits.basemap import Basemap, NetCDFFile
-import pylab, numpy
+from mpl_toolkits.basemap import Basemap, NetCDFFile
+import matplotlib.pyplot as plt
+import numpy as np
 # read in netCDF sea-surface temperature data
 # can be a local file, a URL for a remote opendap dataset,
 # or (if PyNIO is installed) a GRIB or HDF file.
@@ -12,15 +13,15 @@
 # continent processing (this speeds things up a bit)
 m = Basemap(projection='moll',lon_0=0,lat_0=0,resolution=None)
 # compute map projection coordinates of grid.
-x, y = m(*numpy.meshgrid(lons, lats))
+x, y = m(*np.meshgrid(lons, lats))
 # plot with pcolor
-im = m.pcolormesh(x,y,sst,shading='flat',cmap=pylab.cm.gist_ncar)
+im = m.pcolormesh(x,y,sst,shading='flat',cmap=plt.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.))
+m.drawparallels(np.arange(-90.,120.,30.))
+m.drawmeridians(np.arange(0.,420.,60.))
 # draw line around map projection limb.
 # color map region background black (missing values will be this color)
 m.drawmapboundary(fill_color='k')
 # draw horizontal colorbar.
-pylab.colorbar(orientation='horizontal')
-pylab.show()
+plt.colorbar(orientation='horizontal')
+plt.show()


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