Breaking a DataFrame based on Specific Column Values
One way to separate these values out of your pd dataframe is to use Pandas indexing. There are many different routes that you could go, for this, I would recommend:
new_data = pd.data[data['salary'] &gt;= 45000] 

Should separate your data out nicely.
You can read further about this here