apply.json

{
    "id": "apply",
    "summary": "Applies a unary process to each pixel",
    "description": "Applies a **unary** process which takes a single value such as `abs` or `sqrt` to each pixel value in the data cube (i.e. a local operation). In contrast, the process ``apply_dimension()`` applies an n-ary process to a particular dimension.",
    "categories": [
        "cubes"
    ],
    "parameter_order": ["data", "process"],
    "parameters": {
        "data": {
            "description": "A data cube.",
            "schema": {
                "type": "object",
                "format": "raster-cube"
            },
            "required": true
        },
        "process": {
            "description": "A process (callback) to be applied on each value. The specified process must be unary meaning that it must work on a single value.",
            "schema": {
                "type": "object",
                "format": "callback",
                "parameters": {
                    "x": {
                        "description": "A value of any type could be passed."
                    }
                }
            },
            "required": true
        }
    },
    "returns": {
        "description": "A data cube with the newly computed values. The resolution, cardinality and the number of dimensions are the same as for the original data cube.",
        "schema": {
            "type": "object",
            "format": "raster-cube"
        }
    }
}