Purpose:

The Python script updates a DataFrame by copying yesterday’s publication cost to a specific column for structured budget allocation purposes.

To Elaborate

The Python script is designed to facilitate the process of structured budget allocation (SBA) by transferring the publication cost from one column to another within a DataFrame. This operation is crucial for maintaining accurate financial records and ensuring that yesterday’s costs are correctly tagged for further analysis or reporting. The script essentially duplicates the values from the ‘Pub. Cost $’ column into the ‘Yesterdays Cost’ column, which can be used for tracking and comparing costs over time. This process helps in organizing financial data efficiently, allowing for better budget management and decision-making.

Walking Through the Code

1. DataFrame Copying:
   • The script begins by creating a copy of the input DataFrame (inputDf) and assigns it to outputDf. This ensures that the original data remains unchanged while modifications are made to the copy.
2. Column Value Assignment:
   • The script then assigns the values from the ‘Pub. Cost $’ column (RPT_COL_PUB_COST) to the ‘Yesterdays Cost’ column (BULK_COL_YESTERDAYS_COST) in the outputDf. This operation effectively duplicates the publication cost data into a new column for further use.
3. Output Display:
   • Finally, the script prints the modified DataFrame using the tableize function, which formats the DataFrame for display purposes. This step allows users to visually verify the changes made to the data.

Vitals

• Script ID : 205
• Client ID / Customer ID: 1306925259 / 45606
• Action Type: Bulk Upload
• Item Changed: Campaign
• Output Columns: Account, Campaign, Yesterdays Cost
• Linked Datasource: M1 Report
• Reference Datasource: None
• Owner: Autumn Archibald (aarchibald@marinsoftware.com)
• Created by Autumn Archibald on 2023-06-16 16:09
• Last Updated by Autumn Archibald on 2023-12-06 04:01

> See it in Action

Python Code

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RPT_COL_CAMPAIGN = 'Campaign'
RPT_COL_ACCOUNT = 'Account'
RPT_COL_PUB_COST = 'Pub. Cost $'
RPT_COL_YESTERDAYS_COST = 'Yesterdays Cost'
BULK_COL_ACCOUNT = 'Account'
BULK_COL_CAMPAIGN = 'Campaign'
BULK_COL_YESTERDAYS_COST = 'Yesterdays Cost'

outputDf = inputDf.copy()
outputDf[BULK_COL_YESTERDAYS_COST] = outputDf[RPT_COL_PUB_COST]


print(tableize(outputDf))

Post generated on 2025-03-11 01:25:51 GMT