Index: raw2proc/trunk/raw2proc/procutil.py
===================================================================
--- raw2proc/trunk/raw2proc/procutil.py (revision 101)
+++ raw2proc/trunk/raw2proc/procutil.py (revision 104)
@@ -1,4 +1,4 @@
 #!/usr/bin/env python
-# Last modified:  Time-stamp: <2008-01-03 09:50:53 haines>
+# Last modified:  Time-stamp: <2008-02-12 14:39:18 haines>
 """Utilities to help data processing 
 
@@ -7,4 +7,5 @@
    TO DO:
    check_configs()
+   unit conversions (udunits?)
 """
 
@@ -277,3 +278,8 @@
     return str
 
+# unit conversions 
+def meters2feet(meters):
+    """Convert meters to feet: <feet> = <meters>*3.28084 """
+    return meters*3.28084
+        
 #
Index: raw2proc/trunk/raw2proc/raw2proc.py
===================================================================
--- raw2proc/trunk/raw2proc/raw2proc.py (revision 101)
+++ raw2proc/trunk/raw2proc/raw2proc.py (revision 104)
@@ -1,4 +1,4 @@
 #!/usr/bin/env python
-# Last modified:  Time-stamp: <2008-01-14 11:03:16 haines>
+# Last modified:  Time-stamp: <2008-02-12 14:43:50 haines>
 """Process raw data to monthly netCDF data files
 
@@ -31,5 +31,5 @@
 
 # define config file location to run under cron
-defconfigs='/afs/isis.unc.edu/depts/marine/workspace/haines/nc-coos/raw2proc'
+defconfigs='/home/haines/nccoos/raw2proc'
 
 import numpy
@@ -348,5 +348,11 @@
         data = parse(pi, si, lines)
         # determine which index of data is within the specified timeframe (usually the month)
-        data['in'] =  data['dt']>si['proc_start_dt'] and data['dt']<=si['proc_end_dt']
+        # data['in'] =  data['dt']>si['proc_start_dt'] and data['dt']<=si['proc_end_dt']
+        n = len(data['dt'])
+        data['in'] = numpy.array([False for i in range(n)])
+        for index, val in enumerate(data['dt']):
+            if val>si['proc_start_dt'] and val<=si['proc_end_dt']:
+                data['in'][index] = True
+        
         # if any records are in the month then write to netcdf
         if data['in'].any():