[USER (data scientist)]: Hey, I've got this ATP tennis dataset, atp_tennis, and I want to see how player performance changes with different court surfaces over time. Can you help me out? At first, I need to change the 'Date' column to datetime format. Please generate the code with the output in dataframe type.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd
import pickle
from decision_company import read_csv_file, convert_to_datetime, create_dataframe, col_copy, concatenate_objects, extract_year, bind_dataframe, aggregate_data, reset_index, create_figure, draw_lineplot, set_plot_title, set_plot_ylabel, show_plots, linear_regression

atp_tennis = read_csv_file('atp_tennis.csv')

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

print(atp_tennis)

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: No problem! Here's how you can do that: 

# MY SOLUTION BEGIN:
