[USER (data scientist)]: Cool, thanks! Now, what about those with 'own' as their housing type? Please generate a DataFrame of customers who own their housing from the dataset.
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(f"owned_housing: {owned_housing}") 

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

---END CODE TEMPLATE---

[YOU (AI assistant)]: No problem! Here's the code to filter the clients with 'own' as their housing type:
'''
import pandas as pd 
import pickle
 
# Load the dataset 
credit_customers = pd.read_csv("credit_customers.csv") 
 
# YOUR SOLUTION BEGIN:
