fill_column_nulls
Replace missing values in a specified column with a chosen replacement value to handle incomplete data in datasets.
Instructions
Fill null/NaN values in a specific column with a specified value.
Returns: ColumnOperationResult with fill details
Examples: # Fill missing names with "Unknown" fill_column_nulls(ctx, "name", "Unknown")
# Fill missing ages with 0
fill_column_nulls(ctx, "age", 0)
# Fill missing status with default
fill_column_nulls(ctx, "status", "pending")
# Fill missing scores with -1
fill_column_nulls(ctx, "score", -1)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| column | Yes | Column name to fill null values in | |
| value | Yes | Value to use for filling null/NaN values |
Input Schema (JSON Schema)
{
"properties": {
"column": {
"description": "Column name to fill null values in",
"type": "string"
},
"value": {
"description": "Value to use for filling null/NaN values",
"title": "Value"
}
},
"required": [
"column",
"value"
],
"type": "object"
}