Slight formatting corrections to follow the PEP8 a bit more closely.

pcigale/managers/observations.py

@@ -97,7 +97,8 @@ class ObservationsManagerPassbands(object):
         self.tofit = self.bands + self.intprops + self.extprops
         self.tofit_err = self.bands_err + self.intprops_err + self.extprops_err
 
-        self.observations = list([Observation(row, self) for row in self.table])
+        self.observations = list([Observation(row, self)
+                                  for row in self.table])
 
     def __len__(self):
         return len(self.observations)
@@ -162,9 +163,12 @@ class ObservationsManagerPassbands(object):
         for item in self.tofit:
             error = item + '_err'
             if item in self.intprops:
-                if error not in self.intprops_err or error not in self.table.colnames:
-                    raise ValueError("Intensive properties errors must be in input file.")
-            elif error not in self.tofit_err or error not in self.table.colnames:
+                if (error not in self.intprops_err or
+                    error not in self.table.colnames):
+                    raise ValueError("Intensive properties errors must be in "
+                                     "input file.")
+            elif (error not in self.tofit_err or
+                  error not in self.table.colnames):
                 colerr = Column(data=np.fabs(self.table[item] * defaulterror),
                                 name=error)
                 self.table.add_column(colerr,

pcigale/managers/parameters.py

@@ -73,7 +73,7 @@ class ParametersManagerGrid(object):
 
         """
         k = len(l) // nb
-        step = k + nz - k%nz
+        step = k + nz - k % nz
 
         return [l[i * step: (i+1) * step] for i in range(nb)]
 
@@ -223,7 +223,6 @@ class ParametersManagerFile(object):
         raise ValueError("The number of blocks must be no more than the number"
                          "of models.")
 
-
     def from_index(self, index):
         """Provides the parameters of a model given an index.
 

pcigale/managers/utils.py

@@ -13,6 +13,7 @@ import numpy as np
 from multiprocessing.sharedctypes import RawArray
 from ..warehouse import SedWarehouse
 
+
 def get_info(cls):
     warehouse = SedWarehouse()
     sed = warehouse.get_sed(cls.conf['sed_modules'],
@@ -22,6 +23,7 @@ def get_info(cls):
 
     return (info, sed.mass_proportional_info)
 
+
 class SharedArray(object):
     """Class to Create a shared array that can be read/written by parallel
     processes, were data related to the models is going to be stored. For