title: Compare two pandas series with a condition and assign False if a condition is matched else keep the value of first series
body: <p>I have two pandas series,</p>
  <pre><code>s1 = pd.Series([False, True, False, True, False], index= np.arange(0,5))
  
  0    False
  
  1     True
  
  2    False
  
  3     True
  
  4    False
  
  dtype: bool
  
  s2 = pd.Series([False, False, False, True, True], index= np.arange(0,5))
  
  0    False
  
  1    False
  
  2    False
  
  3     True
  
  4     True
  
  dtype: bool
  </code></pre>
  <p>Expected result,</p>
  <pre><code>0    False
  
  1     True
  
  2    False
  
  3    False
  
  4    False
  </code></pre>
  <p>How to compare these two pandas series?
  I want to compare the s1 series with s2 and keep the value of the s1 series if there is no match.</p>