Transpose DataFrame
Category: Mega-Polis → Generation → Generation Data Tools
Node ID:SvMegapolisTransposeDataframe
Tooltip: Transpose DataFrame
Dependencies:pandas
Functionality
Transposes an input Pandas DataFrame, swapping its rows and columns.
Internally, the node applies the Pandas transpose operation:
df.T
This operation:
- Converts rows into columns
- Converts columns into rows
It is useful for restructuring datasets for:
- Statistical analysis
- Correlation workflows
- Feature reorientation
- Matrix-based processing
Inputs
| Socket | Type | Description |
|---|---|---|
| Dataframe | SvStringsSocket | Input Pandas DataFrame. Must be linked. |
The node does nothing if the input is not linked.
Parameters
This node has no exposed UI parameters.
Outputs
| Socket | Type | Description |
|---|---|---|
| Dataframe Out | SvStringsSocket | Transposed Pandas DataFrame. |
Example
Before transpose
Input DataFrame:
| id | height | area |
|---|---|---|
| 0 | 12 | 50 |
| 1 | 18 | 70 |
After transpose
Output DataFrame:
| 0 | 1 | |
|---|---|---|
| id | 0 | 1 |
| height | 12 | 18 |
| area | 50 | 70 |
Typical uses
- Prepare matrix-style inputs for:
- Correlation analysis
- Linear algebra workflows
- Machine learning preprocessing
- Correlation analysis
- Reshape datasets before exporting or mapping
Notes
- Output follows Sverchok DataFrame wrapping conventions.