title: how to get the actual index of my dataframe row while getting topk nearest neighbors?
body: <p><a href="https://i.stack.imgur.com/dYGel.jpg" rel="nofollow noreferrer">this is the sample dataframe to be fit</a></p>
  
  <pre><code>from sklearn.neighbors import NearestNeighbors
  neigh = NearestNeighbors(3,.4)
  neigh.fit(df)
  neighbor_index = neigh.kneighbors([[1.3,4.5,2.5]],return_distance=False)
  print(neighbor_index)
  </code></pre>
  
  <p>output:
  here is my 3 nearest neighbors index-->
  array([[0, 1, 3]], dtype=int64)</p>
  
  <p><strong>I want the actual index in the dataframe like array([[a,b,d]])</strong> how can I get this ??</p>