Please note: The following tutorial may employ a legacy interface rather than the current IBM Watson Studio interface. The functionality remains unchanged. If you encounter obstacles in workflow, refer to Spark docs or IBM Watson Studio documentation.

GraphFrames is an open source Spark Package that provides a set of Python APIs and works with DataFrames.

Read this Getting Started With GraphFrames in Apache Spark tutorial to try out GraphFrames in a Python Notebook. The tutorial starts you off by creating a graph composed of airports as the vertices and flight routes as the edges, using the data from the flight predict application. Then walks you through interesting ways of visualizing the data and apply various graph algorithms to extract insights from the data.

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