Remove NaN from pandas series

>>> s = pd.Series([1,2,3,4,np.NaN,5,np.NaN])
>>> s[~s.isnull()]
0    1
1    2
2    3
3    4
5    5

update or even better approach as @DSM suggested in comments, using pandas.Series.dropna():

>>> s.dropna()
0    1
1    2
2    3
3    4
5    5