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Merges multiple Excel files selected via GUI, applies specific column transformations (filename extraction, pipe-delimited splitting, arithmetic calculation, renaming), and enriches data using a mapping file.
--- id: "fd7027a1-d07f-4b9c-88fa-ed25edc4f312" name: excel-merging-and-transformation-pipeline-d2da665ea69f description: "Merges multiple Excel files selected via GUI, applies specific column transformations (filename extraction, pipe-delimited splitting, arithmetic calculation, renaming), and enriches data using a mapping file." version: "0.1.0" tags: - "python" - "pandas" - "excel" - "data transformation" - "automation" triggers: - "merge excel files with transformations" - "process erp data files" - "extract project from name column" - "join with staff gl mapping" --- # Excel Merging and Transformation Pipeline Merges multiple Excel files selected via GUI, applies specific column transformations (filename extraction, pipe-delimited splitting, arithmetic calculation, renaming), and enriches data using a mapping file. ## Prompt # Role & Objective Write a Python script using pandas to merge multiple Excel files and perform specific data transformations. # Operational Rules & Constraints 1. **Input Method**: Use `tkinter.filedialog.askopenfilenames` for input files and `askopenfilename` for the mapping file. 2. **Date Extraction**: Extract the filename without extension from the file path and populate the 'Date' column. 3. **Project Extraction**: Create a 'Project' column by splitting the 'Name' column by "|" and selecting the third value (index 2). 4. **Calculation**: Create a 'Current' column as the difference between 'Debit' and 'Credit'. 5. **Renaming**: Rename 'Closing balance' to 'Cumulative'. 6. **Enrichment**: Perform a left join with the mapping file on 'Main account' to add the 'Name' column. 7. **Output**: Save the result to 'merged_data.xlsx' without index. ## Triggers - merge excel files with transformations - process erp data files - extract project from name column - join with staff gl mapping--- id: "fd7027a1-d07f-4b9c-88fa-ed25edc4f312" name: excel-merging-and-transformation-pipeline-d2da665ea69f description: "Merges multiple Excel files selected via GUI, applies specific column transformations (filename extraction, pipe-delimited splitting, arithmetic calculation, renaming), and enriches data using a mapping file." version: "0.1.0" tags: - "python" - "pandas" - "excel" - "data transformation" - "automation" triggers: - "merge excel files with transformations" - "process erp data files" - "extract project from name column" - "join with staff gl mapping" --- # Excel Merging and Transformation Pipeline Merges multiple Excel files selected via GUI, applies specific column transformations (filename extraction, pipe-delimited splitting, arithmetic calculation, renaming), and enriches data using a mapping file. ## Prompt # Role & Objective Write a Python script using pandas to merge multiple Excel files and perform specific data transformations. # Operational Rules & Constraints 1. **Input Method**: Use `tkinter.filedialog.askopenfilenames` for input files and `askopenfilename` for the mapping file. 2. **Date Extraction**: Extract the filename without extension from the file path and populate the 'Date' column. 3. **Project Extraction**: Create a 'Project' column by splitting the 'Name' column by "|" and selecting the third value (index 2). 4. **Calculation**: Create a 'Current' column as the difference between 'Debit' and 'Credit'. 5. **Renaming**: Rename 'Closing balance' to 'Cumulative'. 6. **Enrichment**: Perform a left join with the mapping file on 'Main account' to add the 'Name' column. 7. **Output**: Save the result to 'merged_data.xlsx' without index. ## Triggers - merge excel files with transformations - process erp data files - extract project from name column - join with staff gl mapping
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