diff --git a/access/__init__.py b/access/__init__.py
index 30bfa03..cce0caf 100644
--- a/access/__init__.py
+++ b/access/__init__.py
@@ -1,4 +1,4 @@
-__version__ = "1.1.7"
+__version__ = "1.1.8"
 """
 :mod:`access` --- Accessibility Metrics
 =================================================
diff --git a/access/fca.py b/access/fca.py
index 122d714..fee5643 100644
--- a/access/fca.py
+++ b/access/fca.py
@@ -214,7 +214,8 @@ def two_stage_fca(demand_df, supply_df, cost_df, max_cost = None,
                                              weight_fn = weight_fn)
 
     #create a temporary dataframe, temp, that holds the supply and aggregate demand at each location
-    temp = supply_df.join(total_demand_series, how = 'right', rsuffix='_W')
+    total_demand_series.name += "_W"
+    temp = supply_df.join(total_demand_series, how = 'right')
 
     #there may be NA values due to a shorter supply dataframe than the demand dataframe.
     #in this case, replace any potential NA values(which correspond to supply locations with no supply) with 0.
@@ -303,7 +304,8 @@ def three_stage_fca(demand_df, supply_df, cost_df, max_cost,
                                           weight_fn = weight_fn, three_stage_weight = True)
 
     #create a temporary dataframe, temp, that holds the supply and aggregate demand at each location
-    temp = supply_df.join(total_demand_series, how = 'right', rsuffix = '_W')
+    total_demand_series.name += "_W"
+    temp = supply_df.join(total_demand_series, how = 'right')
 
     #there may be NA values due to a shorter supply dataframe than the demand dataframe.
     #in this case, replace any potential NA values(which correspond to supply locations with no supply) with 0.