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Update __init__.py #61761

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16 changes: 16 additions & 0 deletions pandas/arrays/__init__.py
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Expand Up @@ -4,6 +4,22 @@
See :ref:`extending.extension-types` for more.
"""

# Explanations for the ExtensionArrays listed below:
#
# ArrowExtensionArray: Wraps an Apache Arrow array for high-performance data handling.
# ArrowStringArray: A specific version for string data backed by Apache Arrow.
# BooleanArray: Stores boolean data (True, False) but with the ability to hold missing values (NA).
# Categorical: For data that belongs to a fixed, finite set of categories. Very memory efficient.
# DatetimeArray: Handles timezone-aware or timezone-naive date and time data.
# FloatingArray: For floating-point (decimal) numbers, with support for missing values.
# IntegerArray: For integer (whole) numbers, with support for missing values.
# IntervalArray: Stores data representing intervals or ranges (e.g., 1-5, 6-10).
# NumpyExtensionArray: A wrapper around a standard NumPy array, for compatibility within the extension system.
# PeriodArray: For data representing regular time periods (e.g., months, quarters, years).
# SparseArray: Memory-efficient array for data that is mostly zero or NA.
# StringArray: Dedicated array for handling string data, with support for missing values.
# TimedeltaArray: For data representing durations or differences in time (e.g., 2 days, 5 hours).

from pandas.core.arrays import (
ArrowExtensionArray,
ArrowStringArray,
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