Python Pandas: roll_kurt vs. scipy.stats.kurtosis

I'm trying to understand why the following code returns different values ​​for kurtosis:

import pandas
import scipy
e = pandas.DataFrame([1, 2, 3, 4, 5, 4, 3, 2, 1])
print "pandas.rolling_kurt:\n", pandas.rolling_kurt(e, window=9)
print "\nscipy.stats.kurtosis:", scipy.stats.kurtosis(e)

      

        
        
        
      

    

The output I get is:

pandas.rolling_kurt:
          0
0       NaN
1       NaN
2       NaN
3       NaN
4       NaN
5       NaN
6       NaN
7       NaN
8 -1.060058

scipy.stats.kurtosis: [-1.15653061]

      

        
        
        
      

    

I've tried to play around with the pearson vs fisher setup, to no avail.