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Efficient String Data Handling in pandas 2.0 with PyArrow Arrays

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Efficient String Data Handling in pandas 2.0 with PyArrow Arrays

As of pandas 2.0, data in pandas can be stored in PyArrow arrays in addition to NumPy arrays. PyArrow arrays provide a wide range of data types compared to NumPy.

One significant advantage of PyArrow arrays is their string datatype, which offers superior speed and memory efficiency than storing strings using object types.

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