Metadata-Version: 2.1
Name: lifestream
Version: 0.0.1
Summary: The fastest way to make sense of a transaction log.
Home-page: https://github.com/invictus2010/transactions
Author: Jeff Withington
Author-email: jeffrey.withington@gmail.com
License: UNKNOWN
Description: # Transactions
        
        Transcations is a Python library to make sense out of your transaction logs. Import a log of your transactional data and let's explore! 
        
        ## Installation
        
        Use the package manager [pip](https://pip.pypa.io/en/stable/) to install foobar.
        
        ```bash
        pip install transactions
        ```
        ## Transactional Data 
        At a minimum, the transactional data you import should have the following: 
        
        * Date of transaction
        * Monetary value of transaction
        * Unique user id associated with transaction
        
        | order_id | user_id | date       | monetary_value |
        |----------|---------|------------|----------------|
        | 768      | 13      | 09/13/2020 | $15.12        |
        | 769      | 13249   | 09/13/2020 | $240.00        |
        | 770      | 11424   | 09/13/2020 | $194.34        |
        
        ## Usage
        
        ```python
        import transactions
        
        transactions.sales_chart(transaction_log, date_col, monetary_val, user_id)
        # transaction_log is a dataframe of your transactional data.
        # date_col represents the column of the transaction_log dataframe which contains the datetime of the transaction.
        # monetary_val represents the column of the transaction_log dataframe which contains the monetary value of the transaction. 
        # user_id represents the column of the transaction_log dataframe which contains the unique user id associated with the transaction. 
        ```
        
        ## Contributing
        Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
        
        Please make sure to update tests as appropriate.
        
        ## License
        [MIT](https://choosealicense.com/licenses/mit/)
Platform: UNKNOWN
Description-Content-Type: text/markdown
