title: Selecting Unique Rows between Two DataFrames in Pandas
body: <p>I have two data frames A and B of unequal dimensions. I would like to create a data frame C such that it ONLY contains rows that are unique between A and B. I tried to follow this solution (<a href="https://stackoverflow.com/questions/22392786/excluding-rows-from-a-pandas-dataframe-based-on-column-value-and-not-index-value?rq=1">excluding rows from a pandas dataframe based on column value and not index value</a>) but could not get it to work.  </p>
  
  <p>Here's example: </p>
  
  <p>Assume this to be DF_A: </p>
  
  <pre><code>    Star_ID         Loc_ID      pmRA        pmDE    Field     Jmag    Hmag  
   2M00000032+5737103  4264    0.000000    0.000000    N7789   10.905  10.635
   2M00000068+5710233  4264    8.000000    -18.000000  N7789   10.664  10.132
   2M00000222+5625359  4264    0.000000    0.000000    N7789   11.982  11.433
   2M00000818+5634264  4264    0.000000    0.000000    N7789   12.501  11.892
   2M00001242+5524391  4264    0.000000    -4.000000   N7789   12.091  11.482
  </code></pre>
  
  <p>And this to be DF_B: </p>
  
  <pre><code>2M00000032+5737103  
  2M00000068+5710233
  2M00001242+5524391
  </code></pre>
  
  <p>So, the first two and last Star_ID are common between DF_A and DF_B. I would like to create DF_C such that: </p>
  
  <p>DF_C: </p>
  
  <pre><code>        Star_ID         Loc_ID      pmRA        pmDE    Field     Jmag    Hmag
       2M00000222+5625359  4264    0.000000    0.000000    N7789   11.982  11.433
       2M00000818+5634264  4264    0.000000    0.000000    N7789   12.501  11.892
  </code></pre>