title: Problems with isin pandas
body: <p>Sorry, I just asked this question:  <a href="https://stackoverflow.com/questions/32976477/pythonic-way-to-have-multiple-ors-when-conditioning-in-a-dataframe/32976571#32976571">Pythonic Way to have multiple Or&#39;s when conditioning in a dataframe</a> but marked it as answered prematurely because it passed my overly simplistic test case, but isn't working more generally.  (If it is possible to merge and reopen the question that would be great...)</p>
  
  <p>Here is the full issue:</p>
  
  <pre><code>sum(data['Name'].isin(eligible_players))
  &gt; 0
  
  sum(data['Name'] == "Antonio Brown")
  &gt; 68
  
  "Antonio Brown" in eligible_players
  &gt; True
  </code></pre>
  
  <p>Basically if I understand correctly, I am showing that Antonio Brown is in eligible players and he is in the dataframe.  However, for some reason the .isin() isn't working properly.</p>
  
  <p>As I said in my prior question, I am looking for a way to check many ors to select the proper rows</p>
  
  <p>____    EDIT    ____</p>
  
  <pre><code>In[14]:
  eligible_players
  Out[14]:
  Name
  Antonio Brown       378
  Demaryius Thomas    334
  Jordy Nelson        319
  Dez Bryant          309
  Emmanuel Sanders    293
  Odell Beckham       289
  Julio Jones         288
  Randall Cobb        284
  Jeremy Maclin       267
  T.Y. Hilton         255
  Alshon Jeffery      252
  Golden Tate         250
  Mike Evans          236
  DeAndre Hopkins     223
  Calvin Johnson      220
  Kelvin Benjamin     218
  Julian Edelman      213
  Anquan Boldin       213
  Steve Smith         213
  Roddy White         208
  Brandon LaFell      205
  Mike Wallace        205
  A.J. Green          203
  DeSean Jackson      200
  Jordan Matthews     194
  Eric Decker         194
  Sammy Watkins       190
  Torrey Smith        186
  Andre Johnson       186
  Jarvis Landry       178
  Eddie Royal         176
  Brandon Marshall    175
  Vincent Jackson     175
  Rueben Randle       174
  Marques Colston     173
  Mohamed Sanu        171
  Keenan Allen        170
  James Jones         168
  Malcom Floyd        168
  Kenny Stills        167
  Greg Jennings       162
  Kendall Wright      162
  Doug Baldwin        160
  Michael Floyd       159
  Robert Woods        158
  Name: Pts, dtype: int64
  </code></pre>
  
  <p>and</p>
  
  <pre><code>In [31]:
  data.tail(110)
  Out[31]:
  Name    Pts year    week    pos Team
  28029   Dez Bryant  25  2014    17  WR  DAL
  28030   Antonio Brown   25  2014    17  WR  PIT
  28031   Jordan Matthews 24  2014    17  WR  PHI
  28032   Randall Cobb    23  2014    17  WR  GB
  28033   Rueben Randle   21  2014    17  WR  NYG
  28034   Demaryius Thomas    19  2014    17  WR  DEN
  28035   Calvin Johnson  19  2014    17  WR  DET
  28036   Torrey Smith    18  2014    17  WR  BAL
  28037   Roddy White 17  2014    17  WR  ATL
  28038   Steve Smith 17  2014    17  WR  BAL
  28039   DeSean Jackson  16  2014    17  WR  WAS
  28040   Mike Evans  16  2014    17  WR  TB
  28041   Anquan Boldin   16  2014    17  WR  SF
  28042   Adam Thielen    15  2014    17  WR  MIN
  28043   Cecil Shorts    15  2014    17  WR  JAC
  28044   A.J. Green  15  2014    17  WR  CIN
  28045   Jordy Nelson    14  2014    17  WR  GB
  28046   Brian Hartline  14  2014    17  WR  MIA
  28047   Robert Woods    13  2014    17  WR  BUF
  28048   Kenny Stills    13  2014    17  WR  NO
  28049   Emmanuel Sanders    13  2014    17  WR  DEN
  28050   Eddie Royal 13  2014    17  WR  SD
  28051   Marques Colston 13  2014    17  WR  NO
  28052   Chris Owusu 12  2014    17  WR  NYJ
  28053   Brandon LaFell  12  2014    17  WR  NE
  28054   Dontrelle Inman 12  2014    17  WR  SD
  28055   Reggie Wayne    11  2014    17  WR  IND
  28056   Paul Richardson 11  2014    17  WR  SEA
  28057   Cole Beasley    11  2014    17  WR  DAL
  28058   Jarvis Landry   10  2014    17  WR  MIA
  </code></pre>