The pandas.CategoricalIndex is a specialized index in the Python pandas library that is designed to handle categorical data efficiently. It provides a way to categorize and label data, allowing for more efficient storage and computation compared to traditional indexes. This index supports various operations and methods for working with categorical data, such as grouping, reordering, and filtering. It is particularly useful when dealing with large datasets or when there are a limited number of unique categories in the data. The pandas.CategoricalIndex helps improve performance and memory usage when working with categorical data in Python.
Python CategoricalIndex - 34 examples found. These are the top rated real world Python examples of pandas.CategoricalIndex extracted from open source projects. You can rate examples to help us improve the quality of examples.