diff --git a/pyFTS/common/Composite.py b/pyFTS/common/Composite.py
index eea3879..36dadb5 100644
--- a/pyFTS/common/Composite.py
+++ b/pyFTS/common/Composite.py
@@ -76,3 +76,9 @@ class FuzzySet(FuzzySet.FuzzySet):
         if self.centroid is None or self.centroid < set.centroid:
             self.centroid = set.centroid
 
+
+    def __str__(self):
+        tmp = str([str(k) for k in self.sets])
+        return "{}: {}".format(self.name, tmp)
+
+
diff --git a/pyFTS/models/seasonal/partitioner.py b/pyFTS/models/seasonal/partitioner.py
index b894909..8f48af0 100644
--- a/pyFTS/models/seasonal/partitioner.py
+++ b/pyFTS/models/seasonal/partitioner.py
@@ -50,6 +50,11 @@ class TimeGridPartitioner(partitioner.Partitioner):
         if self.season == DateTime.year:
             dlen = (self.max - self.min)
             partlen = dlen / self.partitions
+        elif self.season == DateTime.day_of_week:
+            self.min = 1
+            self.max = 8
+            partlen = 1
+            pl2 = 1
         else:
             partlen = self.season.value / self.partitions
             pl2 = partlen / 2
diff --git a/pyFTS/tests/multivariate.py b/pyFTS/tests/multivariate.py
index d2682b5..3a2f190 100644
--- a/pyFTS/tests/multivariate.py
+++ b/pyFTS/tests/multivariate.py
@@ -103,13 +103,16 @@ dataset['date'] = pd.to_datetime(dataset["date"], format='%Y-%m-%d %H:%M:%S')
 train_mv = dataset.iloc[:24505]
 test_mv = dataset.iloc[24505:]
 
-sp = {'seasonality': DateTime.minute_of_day, 'names': [str(k)+'hs' for k in range(0,24)]}
-
 sp = {'seasonality': DateTime.day_of_week, 'names': ['mon','tue','wed','tur','fri','sat','sun']}
 
 vday = variable.Variable("DayOfWeek", data_label="date", partitioner=seasonal.TimeGridPartitioner, npart=7,
                           data=train_mv, partitioner_specific=sp)
 
+
+print(vday.partitioner)
+
+
+sp = {'seasonality': DateTime.minute_of_day, 'names': [str(k)+'hs' for k in range(0,24)]}
 vhour = variable.Variable("Hour", data_label="date", partitioner=seasonal.TimeGridPartitioner, npart=24,
                           data=train_mv, partitioner_specific=sp, data_type=pd.datetime, mask='%Y-%m-%d %H:%M:%S')