title: Boolean column comparison in Python / Pandas
body: <p>I am trying to take 2 columns in Pandas that contain Boolean values and create a third column that is the OR of these Boolean values. </p>
  
  <p>For example, my dataframe currently contains A and B, and I want to create C.</p>
  
  <pre><code>A B C
  True True True
  False False False
  True False True
  False True True
  </code></pre>
  
  <p>My code:</p>
  
  <pre><code>df['C']=df['A'] or df['B']
  </code></pre>
  
  <p>I have tried to change the structure of the statement several ways but end up with the same error message:</p>
  
  <p>ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().</p>