title: Jupyter Pandas - Trying to take only 5 top frequency of data in 1 Col
body: <p>i got a 'Category Col' which looks like this:</p>
  <p><code>Category Computers/Tablets &amp; Networking    1611 Video Games &amp; Consoles            1502 Jewelry &amp; Watches                  686 Home &amp; Garden                      677 Clothing, Shoes &amp; Accessories      666 Sporting Goods                     427 Toys &amp; Hobbies                     406 Sports Mem, Cards &amp; Fan Shop       344 Health &amp; Beauty                    343 Movies &amp; TV                        325 Music                              317 Art                                285 Cameras &amp; Photo                     82 Consumer Electronics                69 Stamps                              68 Musical Instruments &amp; Gear          37 Business &amp; Industrial               31 Collezionismo                       29 Collectibles                        14 Crafts                              12 Specialty Services                   8 Cell Phones &amp; Accessories            7 eBay Motors                          7 Sammeln &amp; Seltenes                   5 Collections                          3 Vehicle Parts &amp; Accessories          3 Collectables                         2 Jouets et jeux                       2 Deportes                             2 Industrial                           2 Everything Else                      1 Books &amp; Magazines                    1 Giocattoli e modellismo              1 Dolls &amp; Bears                        1 Jewellery &amp; Watches                  1 Timbres                              1 Orologi e gioielli                   1 Home, Furniture &amp; DIY                1 Motor: piezas y accesorios           1 Computer, Tablets &amp; Netzwerk         1 Garden &amp; Patio                       1 Name: Category, dtype: int64</code></p>
  <p>I Want to create a new data col of the top 5 of the cat here, which is: <code>['Computers/Tablets &amp; Networking', 'Video Games &amp; Consoles', 'Jewelry &amp; Watches', 'Home &amp; Garden', 'Clothing, Shoes &amp; Accessories', 'Sporting Goods']</code></p>
  <p>I did this: <code>new_df = all_data['Category'].value_counts()[:6].index.tolist()</code></p>
  <p>But its take only the names of the cat, and not the whole data inside... how i can create df with all the data ?</p>