title: in Python Pandas, how to get one column, then skip a few columns, then get continuous columns
body: <p>I imported a csv file to a dataframe which I named as df.</p>
  
  <pre><code>df = pd.read_csv('csvfile.csv')
  </code></pre>
  
  <p>df has 8 columns, which have names A, B, C, D, E, F, G, H. then I need to get column B and columns E:H, and all the rows of these columns. 
  I used 
  <code>df1 = df.loc[:,"E":"H"]</code> to get columns E to H. But couldn't figure out how to get column B as well, still using <code>"E":"H"</code> in the code. The reason I want to keep <code>"E":"H"</code> is because the column names of E, F, G, H are very long, I tried to avoid typing all four names.
  with thanks.</p>