VerticalStack / Manipulation Layer
Vertically concatenate two DataFrames with matching columns. Similar to pandas' concat(axis=0) or SQL's UNION ALL.
Example:
First DataFrame:
| id | name | value |
|---|---|---|
| 1 | Alice | 100 |
| 2 | Bob | 200 |
Second DataFrame:
| id | name | value |
|---|---|---|
| 3 | Carol | 300 |
| 4 | Dave | 400 |
Result:
| id | name | value |
|---|---|---|
| 1 | Alice | 100 |
| 2 | Bob | 200 |
| 3 | Carol | 300 |
| 4 | Dave | 400 |
Key characteristics:
- Requires identical column structure
- Preserves column order
- Maintains data types
- Appends rows sequentially
Common applications:
- Combining periodic data
- Merging split datasets
- Aggregating multiple sources
- Batch data consolidation
- Historical data combination
- Sequential record assembly
- Multi-file data integration
- Partitioned data reunion
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