docs(README): update

README.md

@@ -34,9 +34,9 @@ make setup
 ## Usage
 Monopoly can be run as a Python package, allowing you to extract, transform and write bank statements to a CSV file.
 
-To see how Monopoly works, you can run this [example](monopoly/examples/single_statement.py)
+To see how Monopoly works, you can run this example
 ```bash
-python3 monopoly/examples/single_statement.py
+python3 src/monopoly/examples/single_statement.py
 ```
 
 If your PDF is encrypted, you'll have to add the password to a .env file in the root directory, which is automatically read by monopoly
@@ -48,6 +48,6 @@ cp .env.template .env
 
 ## Features
 - Support for encrypted PDFs -- passwords can be passed in via a .env file, or passed directly via a bank class
-- PDFs can also be unlocked with a static string, and a masking pattern like ?d?d?d for banks like HSBC that use a common password prefix (DOB), but different passwords for each card
-- Cashback transactions from Citibank and OCBC are also supported, and appear as "negative" transactions
+  - PDFs can also be unlocked with a static string, and a masking pattern like ?d?d?d for banks like HSBC that use a common password prefix (DOB), but different passwords for each card
+- Support for cashback transactions and refunds
 - Monopoly can be run on Google Cloud as a scheduled Cloud Run job, which opens up more sophisticated use-cases like historical analysis and personal finance visualization

src/monopoly/examples/multiple_statements.py

@@ -14,7 +14,7 @@ def ocbc_example():
         )
         statement = bank.extract()
         transformed_df = bank.transform(statement)
-        bank.load(transformed_df, statement)
+        bank.load(transformed_df, statement, output_directory="src/monopoly/examples")
 
 
 if __name__ == "__main__":

src/monopoly/examples/single_statement.py

@@ -17,9 +17,8 @@ def example():
     transformed_df = bank.transform(statement)
     print(transformed_df)
 
-    # Files are saved to an output directory
-    # monopoly/output/monopoly-credit-2023-08.csv
-    bank.load(transformed_df, statement)
+    # Parsed transactions writen to a CSV file in the "example" directory
+    bank.load(transformed_df, statement, output_directory="src/monopoly/examples")
 
 
 if __name__ == "__main__":