Revision: 8938
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8938&view=rev
Author: jswhit
Date: 2011-02-01 04:15:20 +0000 (Tue, 01 Feb 2011)
Log Message:
-----------
try to use netCDF4
Modified Paths:
--------------
trunk/toolkits/basemap/examples/NetCDFFile_tst.py
Modified: trunk/toolkits/basemap/examples/NetCDFFile_tst.py
===================================================================
--- trunk/toolkits/basemap/examples/NetCDFFile_tst.py 2011-02-01 04:02:08 UTC
(rev 8937)
+++ trunk/toolkits/basemap/examples/NetCDFFile_tst.py 2011-02-01 04:15:20 UTC
(rev 8938)
@@ -5,7 +5,10 @@
from numpy import ma
from numpy.testing import assert_array_equal, assert_array_almost_equal
from numpy.random.mtrand import uniform
-from mpl_toolkits.basemap import NetCDFFile
+try:
+ from netCDF4 import Dataset as NetCDFFile
+except ImportError:
+ from mpl_toolkits.basemap import NetCDFFile
# test automatic conversion of masked arrays, and
# packing/unpacking of short ints.
@@ -46,6 +49,8 @@
file = NetCDFFile(self.file,maskandscale=False)
datamasked = file.variables['maskeddata']
datapacked = file.variables['packeddata']
+ if hasattr(datapacked,'set_auto_maskandscale'):
+ datapacked.set_auto_maskandscale(False)
# check missing_value, scale_factor and add_offset attributes.
assert datamasked.missing_value == missing_value
assert datapacked.scale_factor == scale_factor
@@ -57,7 +62,7 @@
file = NetCDFFile(self.file)
datamasked = file.variables['maskeddata']
datapacked = file.variables['packeddata']
- assert_array_almost_equal(datamasked[:].filled(),ranarr)
+
assert_array_almost_equal(datamasked[:].filled(datamasked.missing_value),ranarr)
assert_array_almost_equal(datapacked[:],packeddata,decimal=4)
file.close()
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