title: Why isn't replace working in pandas dataframe?
body: <p>I'm trying to parse some data and I cannot seem to use <code>.replace</code> to remove the junk i.e. <code>[Bluray]</code> and other data that is not year or resolution. My end goal is end up with columns of: Movie Name, Year and Resolution</p>
  <pre><code>,Movie Name,others
  0,James Bond The Spy Who Loved Me ,1977) [1080p]
  1,James Bond Live And Let Die ,1973) [1080p]
  2,No Time To Die ,2021) [1080p] [BluRay] [5.1] [YTS.MX]
  3,James Bond The Man With The Golden Gun ,1974) [1080p]
  4,Casino Royale ,2006) [2160p] [4K] [BluRay] [5.1] [YTS.MX]
  5,James Bond Moonraker ,1979) [1080p]
  6,James Bond Licence To Kill ,1989) [1080p]
  7,James Bond A View To A Kill ,1985) [1080p]
  8,James Bond The Living Daylights ,1987) [1080p]
  </code></pre>
  <p>Code i'm using is:</p>
  <p><code>df['others']=df['others'].replace(to_replace=[['','BluRay']],value='') </code></p>
  <p>Can anyone see where i'm going wrong?</p>