[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 a list identifying unique customer segments with good credit history and high credit amounts.
My template of code snippet is:

---BEGIN CODE TEMPLATE---

import pandas as pd 
import pickle
 
# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
<code1>
[COMPLETE 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?
'''
import pandas as pd 
import pickle
 
# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
