title: How to load Pandas dataframe into Surprise dataset?
body: <p>I am building a recommender system based on user's ratings for 11 different items.</p>
  <p>I started with a dictionary (user_dict) of user ratings:</p>
  <pre><code>{'U1': [3, 4, 2, 5, 0, 4, 1, 3, 0, 0, 4], 
   'U2': [2, 3, 1, 0, 3, 0, 2, 0, 0, 3, 0], 
   'U3': [0, 4, 0, 5, 0, 4, 0, 3, 0, 2, 4], 
   'U4': [0, 0, 2, 1, 4, 3, 2, 0, 0, 2, 0], 
   'U5': [0, 0, 0, 5, 0, 4, 0, 3, 0, 0, 4], 
   'U6': [2, 3, 4, 0, 3, 0, 3, 0, 3, 4, 0], 
   'U7': [0, 4, 3, 5, 0, 5, 0, 0, 0, 0, 4], 
   'U8': [4, 3, 0, 3, 4, 2, 2, 0, 2, 3, 2], 
   'U9': [0, 2, 0, 3, 1, 0, 1, 0, 0, 2, 0], 
   'U10': [0, 3, 0, 4, 3, 3, 0, 3, 0, 4, 4],  
   'U11': [2, 2, 1, 2, 1, 0, 2, 0, 1, 0, 2], 
   'U12': [0, 4, 4, 5, 0, 0, 0, 3, 0, 4, 5], 
   'U13': [3, 3, 0, 2, 2, 3, 2, 0, 2, 0, 3], 
   'U14': [0, 3, 4, 5, 0, 5, 0, 0, 0, 4, 0], 
   'U15': [2, 0, 0, 3, 0, 2, 2, 3, 0, 0, 3], 
   'U16': [4, 4, 0, 4, 3, 4, 0, 3, 0, 3, 0], 
   'U17': [0, 2, 0, 3, 1, 0, 2, 0, 1, 0, 3], 
   'U18': [2, 3, 1, 0, 3, 2, 3, 2, 0, 2, 0], 
   'U19': [0, 5, 0, 4, 0, 3, 0, 4, 0, 0, 5], 
   'U20': [0, 0, 3, 0, 3, 0, 4, 0, 2, 0, 0], 
   'U21': [3, 0, 2, 4, 2, 3, 0, 4, 2, 3, 3], 
   'U22': [4, 4, 0, 5, 3, 5, 0, 4, 0, 3, 0], 
   'U23': [3, 0, 0, 0, 3, 0, 2, 0, 0, 4, 0], 
   'U24': [4, 0, 3, 0, 3, 0, 3, 0, 0, 2, 2], 
   'U25': [0, 5, 0, 3, 3, 4, 0, 3, 3, 4, 4]}
  </code></pre>
  <p>I then loaded the dictionary into a Pandas dataframe by using this code:</p>
  <pre><code>df=  pd.DataFrame(user_dict)
  userRatings_df = df.T
  print(userRatings_df)
  </code></pre>
  <p>This prints the data like so:</p>
  <pre><code>     0  1  2  3  4  5  6  7  8  9  10
  U1   3  4  2  5  0  4  1  3  0  0   4
  U2   2  3  1  0  3  0  2  0  0  3   0
  U3   0  4  0  5  0  4  0  3  0  2   4
  U4   0  0  2  1  4  3  2  0  0  2   0
  U5   0  0  0  5  0  4  0  3  0  0   4
  U6   2  3  4  0  3  0  3  0  3  4   0
  U7   0  4  3  5  0  5  0  0  0  0   4
  U8   4  3  0  3  4  2  2  0  2  3   2
  U9   0  2  0  3  1  0  1  0  0  2   0
  U10  0  3  0  4  3  3  0  3  0  4   4
  U11  2  2  1  2  1  0  2  0  1  0   2
  U12  0  4  4  5  0  0  0  3  0  4   5
  U13  3  3  0  2  2  3  2  0  2  0   3
  U14  0  3  4  5  0  5  0  0  0  4   0
  U15  2  0  0  3  0  2  2  3  0  0   3
  U16  4  4  0  4  3  4  0  3  0  3   0
  U17  0  2  0  3  1  0  2  0  1  0   3
  U18  2  3  1  0  3  2  3  2  0  2   0
  U19  0  5  0  4  0  3  0  4  0  0   5
  U20  0  0  3  0  3  0  4  0  2  0   0
  U21  3  0  2  4  2  3  0  4  2  3   3
  U22  4  4  0  5  3  5  0  4  0  3   0
  U23  3  0  0  0  3  0  2  0  0  4   0
  U24  4  0  3  0  3  0  3  0  0  2   2
  U25  0  5  0  3  3  4  0  3  3  4   4
  </code></pre>
  <p>When I attempt to load into into a Surprise dataset I run this code:</p>
  <pre><code>reader = Reader(rating_scale=(1,5))
  
  userRatings_data=Dataset.load_from_df(userRatings_df[[1,2,3,4,5,6,7,8,9,10]], 
  reader)
  </code></pre>
  <p>I get this error:</p>
  <pre><code>ValueError: too many values to unpack (expected 3)
  </code></pre>
  <p>Can anyone help me to fix this error?</p>