While executing PySpark in Jupyter notebook, why is the IndexError thrown by rdd.take() due to tuple index being out of range?

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The IndexError thrown by rdd.take() in PySpark in Jupyter notebook is due to tuple index being out of range because the index specified to access the element of the tuple is greater than or equal to the number of elements in the tuple.

For example, if a tuple has only two elements and we try to access the third element using an index of 2, an IndexError will be raised as the tuple has only two elements indexed from 0 to 1. Similarly, if we try to access an element at an index greater than or equal to the number of elements in the tuple, an IndexError will be raised.