Description
The Execute Scipyr activity allows execution of custom Python scripts within a Scipyr Book. These scripts can perform data analysis, transformation, aggregation, or modeling using familiar Python libraries like Pandas, NumPy, or SciPy.
This activity is ideal for running pre-authored logic from Scipyr notebooks and returning structured tabular data for downstream workflow operations.
Use Case:
When you want to reuse a data processing function or analysis pipeline written in Python, such as forecasting sales or calculating KPIs, inside your no-code or low-code workflow.
| Type | Description |
|---|
| File (Scipyr) | The Scipyr book containing the code. |
Output
| Type | Format | Description |
|---|
| Data | Table | Output of the executed Scipyr notebook |
Configuration Fields
| Field Name | Required | Description |
|---|
| Scipyr Book | Yes | Select the Scipyr Book (.scipyr file) that contains the Python code to execute. |
| Data Frame | Yes | Name of the DataFrame within the Scipyr Book to process and return as output. |
Not applicable — data is pulled from the selected Scipyr Book and executed code.
Sample Configuration
| Field | Value |
|---|
| Scipyr Book | ForecastingModel.scipyr |
| Data Frame | forecast_output |
Sample Output
| Sale Date | Product Name | Customer ID | Sales Region | Sales Channel | Unit Price | Units Sold |
|---|
| 2024-10-23T00:00:00 | Monitor | 1661 | East | Phone | 152.93 | 7 |
| 2024-10-23T00:00:00 | Keyboard | 2345 | West | Web | 89.99 | 15 |
