[USER (data scientist)]: Nice one! But I only need the credit_amount and duration columns from this filtered data. How do I get those? 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, fetch_column, calculate_quantile, create_condition, logical_and, filter_by_condition, convert_to_tuples

# Load the dataset  
credit_customers = read_csv_file("credit_customers.csv")  
  
# YOUR SOLUTION BEGIN:
<code1>
[GENERATE YOUR CODE]     
</code1>
# YOUR SOLUTION END

print(f"high_credit_long_duration: {high_credit_long_duration_filtered}")  

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Easy peasy! Use this code to extract the columns you need:

# MY SOLUTION BEGIN:
