title: Display/Print one column from a DataFrame of Series in Pandas
body: <p>I created the following Series and DataFrame:</p>
  
  <pre><code>import pandas as pd
  
  Series_1 = pd.Series({'Name': 'Adam','Item': 'Sweet','Cost': 1})
  Series_2 = pd.Series({'Name': 'Bob','Item': 'Candy','Cost': 2})
  Series_3 = pd.Series({'Name': 'Cathy','Item': 'Chocolate','Cost': 3})`
  df = pd.DataFrame([Series_1,Series_2,Series_3], index=['Store 1', 'Store 2', 'Store 3'])
  </code></pre>
  
  <p>I want to display/print out just one column from the DataFrame (with or without the header row):</p>
  
  <p>Either</p>
  
  <pre><code>Adam 
  Bob 
  Cathy
  </code></pre>
  
  <p>Or:</p>
  
  <pre><code>Sweet
  Candy
  Chocolate
  </code></pre>
  
  <p>I have tried the following code which did not work:</p>
  
  <pre><code>print(df['Item'])
  print(df.loc['Store 1'])
  print(df.loc['Store 1','Item'])
  print(df.loc['Store 1','Name'])
  print(df.loc[:,'Item'])
  print(df.iloc[0])
  </code></pre>
  
  <p>Can I do it in one simple line of code?</p>