title: Panda drop values in columns but keep columns
body: <p>Has the title say, I would like to find a way to drop the row (erase it) in a data frame from a column to the end of the data frame but I don't find any way to do so.</p>
  <p>I would like to start with</p>
  <pre><code>A    B    C
  -----------
  1    1    1
  1    1    1
  1    1    1
  </code></pre>
  <p>and get</p>
  <pre><code>A    B    C
  -----------
  1        
  1        
  1       
  </code></pre>
  <p>I was trying with</p>
  <pre><code>df.drop(df.loc[:, 'B':].columns, axis = 1, inplace = True)
  </code></pre>
  <p>But this delete the column itself too</p>
  <pre><code>A
  -
  1        
  1        
  1       
  </code></pre>
  <p>am I missing something?</p>