Revision: 5983
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=5983&view=rev
Author: jswhit
Date: 2008-08-06 21:55:46 +0000 (Wed, 06 Aug 2008)
Log Message:
-----------
extend warpimage method to accept URL's, handle grayscale images.
Modified Paths:
--------------
trunk/toolkits/basemap/lib/mpl_toolkits/basemap/__init__.py
Modified: trunk/toolkits/basemap/lib/mpl_toolkits/basemap/__init__.py
===================================================================
--- trunk/toolkits/basemap/lib/mpl_toolkits/basemap/__init__.py 2008-08-06
20:39:42 UTC (rev 5982)
+++ trunk/toolkits/basemap/lib/mpl_toolkits/basemap/__init__.py 2008-08-06
21:55:46 UTC (rev 5983)
@@ -3104,13 +3104,17 @@
def warpimage(self,image="bluemarble",**kwargs):
"""
- Display an image (given by ``image`` keyword) as a map background.
+ Display an image (filename given by ``image`` keyword) as a map
background.
+ If image is a URL (starts with 'http'), it is downloaded to a temp
+ file using urllib.urlretrieve.
Default (if ``image`` not specified) is to display
'blue marble next generation' image from http://visibleearth.nasa.gov/.
Specified image must have pixels covering the whole globe in a regular
lat/lon grid, starting and -180W and the South Pole.
+ Works with the global images from
+
http://earthobservatory.nasa.gov/Newsroom/BlueMarble/BlueMarble_monthlies.html.
Extra keyword ``ax`` can be used to override the default axis instance.
@@ -3143,11 +3147,22 @@
newfile = True
else:
newfile = False
- self._bm_file = file
+ if file.startswith('http'):
+ from urllib import urlretrieve
+ self._bm_file, headers = urlretrieve(file)
+ else:
+ self._bm_file = file
# read in jpeg image to rgba array of normalized floats.
if not hasattr(self,'_bm_rgba') or newfile:
pilImage = Image.open(self._bm_file)
self._bm_rgba = pil_to_array(pilImage)
+ # if pil_to_array returns a 2D array, it's a grayscale image.
+ # create an RGB image, with R==G==B.
+ if self._bm_rgba.ndim == 2:
+ tmp = np.empty(self._bm_rgba.shape+(3,),np.uint8)
+ for k in range(3):
+ tmp[:,:,k] = self._bm_rgba
+ self._bm_rgba = tmp
# convert to normalized floats.
self._bm_rgba = self._bm_rgba.astype(np.float32)/255.
# define lat/lon grid that image spans.
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