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Extracts a specification tuple from a labeled data object, consisting of the class name, group, and label attributes.

Purpose

This function provides a standardized way to retrieve identifying information from labeled data objects in a data visualization or analysis framework. It returns a tuple containing the object's class name, group, and label, which can be used for categorization, identification, or indexing purposes. This is commonly used in frameworks like HoloViews for managing and organizing data elements.

Source Code

def get_spec(obj):
   """
   Gets the spec from any labeled data object.
   """
   return (obj.__class__.__name__,
           obj.group, obj.label)

Parameters

Parameter Details

obj: A labeled data object that must have 'group' and 'label' attributes. Expected to be an instance of a class from a data visualization framework (likely HoloViews) that supports these attributes for categorization and identification.

Return Value

Returns a tuple with three elements: (1) the class name of the object as a string (e.g., 'Curve', 'Scatter'), (2) the group attribute value from the object, and (3) the label attribute value from the object. This tuple serves as a unique specification identifier for the data object.

Usage Example

# Assuming obj is a HoloViews element with group and label attributes
# Example with a mock object:
class MockDataObject:
    def __init__(self, group, label):
        self.group = group
        self.label = label

obj = MockDataObject(group='Dataset', label='Temperature')
spec = get_spec(obj)
print(spec)
# Output: ('MockDataObject', 'Dataset', 'Temperature')

# Typical usage in HoloViews context:
# import holoviews as hv
# curve = hv.Curve([1, 2, 3], group='Measurements', label='Sensor1')
# spec = get_spec(curve)
# print(spec)
# Output: ('Curve', 'Measurements', 'Sensor1')

Best Practices

• Ensure the input object has both 'group' and 'label' attributes before calling this function to avoid AttributeError
• This function is designed for objects from data visualization frameworks (like HoloViews) that follow the labeled data pattern
• The returned tuple can be used as a dictionary key or for comparison operations to identify and organize data objects
• Consider wrapping this function in a try-except block if working with objects that may not have the required attributes

Tags

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