[USER (data scientist)]: Hey there! I've got this dataset with original and updated odds for some matches, and I wanna take a closer look at the differences between them. Can you lend me a hand? Please generate the code with the output in dataframe type.
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, fetch_column

# Load the dataset 
atp_tennis = read_csv_file('atp_tennis.csv')

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

print(updated_odds_df)

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Awesome! Let's whip up two new columns in your dataframe to store the differences between the original and updated odds. Here's the code you'll need: 

# MY SOLUTION BEGIN:
