diff --git a/ess/__queue_templates__.py b/ess/__queue_templates__.py
index ef1f8fe95be8c170b78b495b8ca4bde42ae0f763..b5b37dcf34ec991ef618b92fdfb03d5da3933527 100644
--- a/ess/__queue_templates__.py
+++ b/ess/__queue_templates__.py
@@ -57,6 +57,6 @@ def _get_template(filename, template):
     import os
 
     if os.path.exists(filename):
-        return file(filename).read()
+        return open(filename).read()
     else:
         return template
diff --git a/ess/fieldmap.py b/ess/fieldmap.py
index ecef063c42aaacb6fb6c15c4ab3218b5f1bd20a7..495520875943b73b5d05bea1523e37bab5e55d2e 100644
--- a/ess/fieldmap.py
+++ b/ess/fieldmap.py
@@ -79,7 +79,8 @@ __all__ = [
     "read_fieldmap",
     "cut_fieldmap_length",
     "field_on_axis",
-    "field_on_axis_from_file" "save_to_ascii",
+    "field_on_axis_from_file",
+    "save_to_ascii",
     "batch_convert_to_ascii",
     "unify_grid_size",
     "batch_cut_fieldmap",
@@ -88,9 +89,9 @@ __all__ = [
 ]
 
 # class FieldMapy:
-#'''
-# class contains functions needed for manipulating fieldmaps for TraceWin.
-#'''
+# '''
+#  class contains functions needed for manipulating fieldmaps for TraceWin.
+# '''
 __version__ = "0.4"
 
 import os
@@ -418,12 +419,12 @@ def save_to_ascii(Header, Field, output_filepath: str):
         fieldmap_dim = 3
     else:
         raise ValueError(
-            "Wrong length of header, cannot write {}".format(output_file_path)
+            "Wrong length of header, cannot write {}".format(output_filepath)
         )
 
-    with open(output_file_path, "w") as out_file:
+    with open(output_filepath, "w") as out_file:
 
-        stepZ = Header[1] / Header[0]  # stepZ = Zmax / Nz
+        # stepZ = Header[1] / Header[0]  # stepZ = Zmax / Nz
 
         out_file.write("{0[0]:.0f} {0[1]}\n".format(Header))
         if fieldmap_dim == 1:
@@ -623,7 +624,7 @@ def create_tw_fieldmap(
     tabular_file_with_path = os.path.join(fieldmaps_path, tabular_file_name)
     field_File = open(tabular_file_with_path, "r")
 
-    if header == True:
+    if header is True:
         field_array = np.genfromtxt(field_File, delimiter=delim, skip_header=1)
     else:
         field_array = np.genfromtxt(field_File, delimiter=delim, skip_header=0)