title: Pandas group by and filter
body: <p>I have the following .csv</p>
  
  <pre><code>  Name  Location    Product Type    number
  Greg    1       Fruit   grape   1
  Greg    1       Fruit   apple   2
  Greg    1       Bakery  bread   5
  Greg    1       Bakery  roll    8
  Greg    2       Fruit   grape   7
  Greg    2       Fruit   apple   1
  Greg    3       Fruit   grape   2
  Greg    4       Bakery  roll    3
  Greg    4       Bakery  bread   4
  Sam 5       Fruit   apple   7
  Sam 5       Fruit   grape   9
  Sam 5       Fruit   apple   10
  Sam 6       Bakery  roll    11
  Sam 6       Bakery  bread   12
  Sam 7       Fruit   orange  13
  Sam 7       Bakery  roll    14
  Tim 8       Fruit   bread   16
  Zack    9       Bakery  roll    17
  Zack    10      Fruit   apple   19
  Zack    10      Fruit   grape   20
  </code></pre>
  
  <p>I would like to put this into pandas and group by name, location where there is more than one location with more than two products. I would still want to maintain the 'number' for the products</p>
  
  <p>So something Like this as an example since Greg at location 1 has two products</p>
  
  <pre><code>name    location    product     type
  Greg    1       Fruit, bakery   grape,apple,bread,roll
  </code></pre>
  
  <p>I am struggling with the groupby and ultimately getting this back to a data frame that I could .to_csv </p>