Extra asv benchmark to see difference between pivots on categorical d…

…ata when observed is passed as True and when it defaults to False.

asv_bench/benchmarks/reshape.py

@@ -145,8 +145,11 @@ def time_pivot_table_margins(self):
 
  def time_pivot_table_categorical(self):
  self.df2.pivot_table(index='col1', values='col3', columns='col2',
- aggfunc=np.sum, fill_value=0, observed=True)
+ aggfunc=np.sum, fill_value=0)
 
+ def time_pivot_table_categorical_observed(self):
+ self.df2.pivot_table(index='col1', values='col3', columns='col2',
+ aggfunc=np.sum, fill_value=0, observed=True)
 
 class Crosstab(object):