peps8, pylint correction and some question, which begin with evan

slicing and logging instead of eval and print

Author: delepoullea

global_tracking.py

@@ -6,57 +6,54 @@
 
 class GlobalTracking(object):
     """
-    
+
     """
     def __init__(self, eddy, ymd_str):
         """
         """
         self.tracklist = eddy.tracklist
-        self.SIGN_TYPE = eddy.SIGN_TYPE
+        self.sign_type = eddy.SIGN_TYPE
         self.ymd_str = ymd_str
         self.num_tracks = np.sum([i.alive for i in self.tracklist])
-    
-    
+
     def create_netcdf(self):
         """
         """
-        with Dataset('%s_%s.nc' % (self.SIGN_TYPE, self.ymd_str),
+        with Dataset('%s_%s.nc' % (self.sign_type, self.ymd_str),
                      'w', format='NETCDF4') as nc:
-            
+
             # Create dimensions
             nc.createDimension('tracks', self.num_tracks)
             nc.createDimension('properties', None)
-            
             # Create variables
             t = 0
             for track in self.tracklist:
-                if track.alive:
+#                 if track.alive:
                     varname = 'track_%s' % np.str(t).zfill(4)
                     nc.createVariable(varname, np.float64, ('properties'))
                     t += 1
             nc.createVariable('track_lengths', np.int, ('tracks'))
-    
-    
+
     def write_tracks(self):
         """
         """
         t = 0
         for track in self.tracklist:
             tracklen = len(track.lon)
             if track.alive:
-                properties = np.hstack((track.dayzero, track.saved2nc,
-                                        track.save_extras, track.lon, track.lat,
-                                        track.amplitude, track.radius_s,
-                                        track.radius_e, track.uavg,
-                                        track.teke, track.ocean_time))
+                properties = np.hstack((
+                    track.dayzero, track.saved2nc,
+                    track.save_extras, track.lon, track.lat,
+                    track.amplitude, track.radius_s,
+                    track.radius_e, track.uavg,
+                    track.teke, track.ocean_time))
 
-                with Dataset('%s_%s.nc' % (self.SIGN_TYPE, self.ymd_str), 'a') as nc:
+                with Dataset('%s_%s.nc' % (self.sign_type, self.ymd_str), 'a') as nc:
                     varname = 'track_%s' % np.str(t).zfill(4)
                     nc.variables[varname][:] = properties
                     nc.variables['track_lengths'][t] = tracklen
                 t += 1
-    
-    
+
     def read_tracks(self):
         """
         Read and sort the property data for returning to the
@@ -65,13 +62,13 @@ def read_tracks(self):
         with Dataset('Anticyclonic_20140312.nc') as nc:
             tracklens = nc.variables['track_lengths'][:]
             for t, tracklen in enumerate(tracklengths):
-                
+
                 varname = 'track_%s' % np.str(t).zfill(4)
                 track = nc.variables[varname][:]
                 dayzero = track[0].astype(bool)
                 saved2nc = track[1].astype(bool)
                 save_extras = track[2].astype(bool)
-                
+
                 inds = np.arange(3, 3 + (tracklen * 8), tracklen)
                 lon = track[inds[0]:inds[1]]
                 lat = track[inds[1]:inds[2]]
@@ -81,10 +78,5 @@ def read_tracks(self):
                 uavg = track[inds[5]:inds[6]]
                 teke = track[inds[6]:inds[7]]
                 ocean_time = track[inds[7]:]
-                
-            
+
             properties = nc.variables['track_0000'][:]
-        
-        
-        
-