[USER (data scientist)]: Now, I want to make a new DataFrame with separate rows for each player, including their rank, win/loss ratio, surface, and date. Please generate a DataFrame by combining player-specific data from two sets of columns in the ATP tennis dataset.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd
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(player_data)

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Sure thing! You can create the new DataFrame and add player data like this: 
'''
import pandas as pd
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:
