title: N/A as N/A not as not a number in pandas and python
body: <p>I´m working in excel using pandas and python. I have something like this. </p>
  
  <pre><code>df = pd.read_csv("abx.csv")
  df1 = df.loc[df["Application Name"].str.contains(r"(\N\/\A)")]
  df1.set_index("User ID", inplace = True)
  df1.to_csv("abx1.csv")
  </code></pre>
  
  <p>In this case, I´m trying to filter the column "Application Name" that contains the string N/A. But when i run this code i receive this error </p>
  
  <pre><code>raise ValueError('cannot index with vector containing '
  ValueError: cannot index with vector containing NA / NaN values
  </code></pre>
  
  <p>I think the problem is the compiler is taking N/A as the not a number value, not as the N/A string. </p>
  
  <p>Any idea. I will appreciate the help. Thanks and sorry for bad english </p>