title: Trying to remove commas and dollars signs with Pandas in Python
body: <p>Tring to remove the commas and dollars signs from the columns. But when I do, the table prints them out and still has them in there. Is there a different way to remove the commans and dollars signs using a pandas function. I was unuable to find anything in the API Docs or maybe i was looking in the wrong place</p>
  
  <pre><code> import pandas as pd
      import pandas_datareader.data as web
  
  players = pd.read_html('http://www.usatoday.com/sports/mlb/salaries/2013/player/p/')
  
  
  df1 = pd.DataFrame(players[0])
  
  
  df1.drop(df1.columns[[0,3,4, 5, 6]], axis=1, inplace=True)
  df1.columns = ['Player', 'Team', 'Avg_Annual']
  df1['Avg_Annual'] = df1['Avg_Annual'].replace(',', '')
  
  print (df1.head(10))
  </code></pre>