Revision: 6014
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=6014&view=rev
Author: jswhit
Date: 2008-08-09 16:25:22 +0000 (Sat, 09 Aug 2008)
Log Message:
-----------
added NetCDFFile test
Added Paths:
-----------
trunk/toolkits/basemap/examples/NetCDFFile_tst.py
Added: trunk/toolkits/basemap/examples/NetCDFFile_tst.py
===================================================================
--- trunk/toolkits/basemap/examples/NetCDFFile_tst.py
(rev 0)
+++ trunk/toolkits/basemap/examples/NetCDFFile_tst.py 2008-08-09 16:25:22 UTC
(rev 6014)
@@ -0,0 +1,65 @@
+import sys
+import unittest
+import os
+import tempfile
+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
+
+# test automatic conversion of masked arrays, and
+# packing/unpacking of short ints.
+
+FILE_NAME = tempfile.mktemp(".nc")
+ndim = 10
+ranarr = 100.*uniform(size=(ndim))
+packeddata = 10.*uniform(size=(ndim))
+missing_value = -9999.
+ranarr[::2] = missing_value
+maskedarr = ma.masked_values(ranarr,-9999.)
+scale_factor = (packeddata.max()-packeddata.min())/(2.*32766.)
+add_offset = 0.5*(packeddata.max()+packeddata.min())
+packeddata2 = ((packeddata-add_offset)/scale_factor).astype('i2')
+
+class TestCase(unittest.TestCase):
+
+ def setUp(self):
+ self.file = FILE_NAME
+ file = NetCDFFile(self.file,'w')
+ file.createDimension('n', None) # use unlimited dim.
+ foo = file.createVariable('maskeddata', 'f8', ('n',))
+ foo.missing_value = missing_value
+ bar = file.createVariable('packeddata', 'i2', ('n',))
+ bar.scale_factor = scale_factor
+ bar.add_offset = add_offset
+ foo[0:ndim] = maskedarr
+ bar[0:ndim] = packeddata
+ file.close()
+
+ def tearDown(self):
+ # Remove the temporary files
+ os.remove(self.file)
+
+ def runTest(self):
+ """testing auto-conversion of masked arrays and packed integers"""
+ # no auto-conversion.
+ file = NetCDFFile(self.file,maskandscale=False)
+ datamasked = file.variables['maskeddata']
+ datapacked = file.variables['packeddata']
+ # check missing_value, scale_factor and add_offset attributes.
+ assert datamasked.missing_value == missing_value
+ assert datapacked.scale_factor == scale_factor
+ assert datapacked.add_offset == add_offset
+ assert_array_equal(datapacked[:],packeddata2)
+ assert_array_almost_equal(datamasked[:],ranarr)
+ file.close()
+ # auto-conversion
+ file = NetCDFFile(self.file)
+ datamasked = file.variables['maskeddata']
+ datapacked = file.variables['packeddata']
+ assert_array_almost_equal(datamasked[:].filled(),ranarr)
+ assert_array_almost_equal(datapacked[:],packeddata,decimal=4)
+ file.close()
+
+if __name__ == '__main__':
+ unittest.main()
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