title: Calculate summary statistics of columns in dataframe
body: <p>I have a dataframe of the following form (for example)</p>
  
  <pre><code>shopper_num,is_martian,number_of_items,count_pineapples,birth_country,tranpsortation_method
  1,FALSE,0,0,MX,
  2,FALSE,1,0,MX,
  3,FALSE,0,0,MX,
  4,FALSE,22,0,MX,
  5,FALSE,0,0,MX,
  6,FALSE,0,0,MX,
  7,FALSE,5,0,MX,
  8,FALSE,0,0,MX,
  9,FALSE,4,0,MX,
  10,FALSE,2,0,MX,
  11,FALSE,0,0,MX,
  12,FALSE,13,0,MX,
  13,FALSE,0,0,CA,
  14,FALSE,0,0,US,
  </code></pre>
  
  <p>How can I use Pandas to calculate summary statistics of each column (column data types are variable, some columns have no information </p>
  
  <p>And then return the a dataframe of the form:</p>
  
  <pre><code>columnname, max, min, median,
  
  is_martian, NA, NA, FALSE
  </code></pre>
  
  <p>So on and so on</p>