Dataset.update_variables

Dataset.update_variables(variables) → void

Batch update variable metadata attributes for variables across tables in a dataset. Note that this will only affect the referenced version of the dataset, so make sure to be explicit about the dataset's version.

Parameters:

variables : list<dict> A list of variables to update. Each variable is represented by a dict, with a mandatory "name" property, corresponding to the variable's name, and any metadata properties to update. To clear a metadata property, set it to None, otherwise omit it to leave a given property unchanged.

Returns:

void

Examples:

import redivis
dataset = redivis.dataset("my.dataset:next") # Update variables on the next version

workflow.update_variables([
    {
        # All attrs other than "name" are optional.
        # To remove a value, set it to None
        "name": "var_name",
        "label": "my_label",
        "description": "my_description",
        "valueLabels": [
            { "value": "1", "label": "Yes"},
            { "value": "2", "label": "No" },
            ...
        ]
    }
    ...
])