Remove NaN from pandas series

Question

Is there a way to remove a NaN values from a panda series? I have a series that may or may not have some NaN values in it, and I'd like to return a copy of the series with all the NaNs removed.

Answer 1

>>> 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

Answer 2

A small usage of np.nan ! = np.nan

s[s==s]
Out[953]: 
0    1.0
1    2.0
2    3.0
3    4.0
5    5.0
dtype: float64

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More Info

np.nan == np.nan
Out[954]: False