[USER (data scientist)]:  I'm thinking we can filter customers with a good credit history and a high credit amount. What do you think? Please generate the code with the output in list 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, check_elements_in_list, extract_unique_values, convert_np_to_list, col_assign_val, series_get_quantile

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

print("additional_customer_segments:\n", additional_customer_segments)    

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: Great, let's filter those customers. And do you have any target customer segments that you want to exclude?

# MY SOLUTION BEGIN:
