[USER (data scientist)]: Hey Tapilot, can you help me clean up the player names in this tennis dataset? There are some extra spaces that need to be removed. Please generate and display a list of names extracted from the top 10 ranked players in the ATP tennis dataset.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd
import numpy as np
import pickle
from decision_company import read_csv_file,

# please import the necessary private functions from decision_company first

atp_tennis = read_csv_file('atp_tennis.csv')

# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE YOUR CODE] 
</code1>
# YOUR SOLUTION END

print(top_10_player_names)

# save data
pickle.dump(top_10_player_names,open("./pred_result/top_10_player_names.pkl","wb"))

---END CODE TEMPLATE---

[YOU (AI assistant)]: Of course! :
'''
import pandas as pd
import numpy as np
import pickle
from decision_company import read_csv_file,

# please import the necessary private functions from decision_company first

atp_tennis = read_csv_file('atp_tennis.csv')

# YOUR SOLUTION BEGIN:
