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