Which Python library is specifically designed to extend Pandas with support for geographic data types and operations?NumPy PandasMatplotlibGeoPandas

Break Down the Problem

1. Identify the question: We need to determine which Python library extends Pandas specifically for geographic data types and operations.
2. List the options provided: NumPy, Pandas, Matplotlib, GeoPandas.

Relevant Concepts

1. Pandas: A powerful data manipulation library but does not directly support geographic data types.
2. NumPy: Primarily used for numerical computing; does not extend Pandas for geographic support.
3. Matplotlib: Mainly for data visualization and does not enhance Pandas with geographic capabilities.
4. GeoPandas: An extension of Pandas that incorporates geographic data types and enables spatial operations.

Analysis and Detail

1. GeoPandas is explicitly designed to work with geospatial data; it makes it easy to visualize and analyze geographic data in Python.
2. It integrates well with Pandas and allows for operations on geometric types, which are essential in spatial data analysis.

Verify and Summarize

From the analysis, it is clear that GeoPandas is the library that specifically extends Pandas to handle geographic data efficiently.

Final Answer

The correct answer is GeoPandas.