Data Types
==========

.. currentmodule:: pandasCore

pandasCore Python provides nullable extension dtypes that support missing values (NA)
for integer, floating-point, boolean, and string types.

Integer Types
-------------

.. list-table::
   :widths: 25 75
   :header-rows: 1

   * - Type
     - Description
   * - Int8Dtype
     - Nullable 8-bit signed integer
   * - Int16Dtype
     - Nullable 16-bit signed integer
   * - Int32Dtype
     - Nullable 32-bit signed integer
   * - Int64Dtype
     - Nullable 64-bit signed integer
   * - UInt8Dtype
     - Nullable 8-bit unsigned integer
   * - UInt16Dtype
     - Nullable 16-bit unsigned integer
   * - UInt32Dtype
     - Nullable 32-bit unsigned integer
   * - UInt64Dtype
     - Nullable 64-bit unsigned integer

Example
^^^^^^^

.. code-block:: python

   import pandasCore as pd

   # Create Series with nullable integer dtype
   s = pd.Series([1, 2, None], dtype=pd.Int64Dtype())
   print(s.dtype)  # Int64

Floating Types
--------------

.. list-table::
   :widths: 25 75
   :header-rows: 1

   * - Type
     - Description
   * - Float32Dtype
     - Nullable 32-bit floating point
   * - Float64Dtype
     - Nullable 64-bit floating point

Boolean Type
------------

.. list-table::
   :widths: 25 75
   :header-rows: 1

   * - Type
     - Description
   * - BooleanDtype
     - Nullable boolean

String Type
-----------

.. list-table::
   :widths: 25 75
   :header-rows: 1

   * - Type
     - Description
   * - StringDtype
     - String data type

Sparse Type
-----------

.. list-table::
   :widths: 25 75
   :header-rows: 1

   * - Type
     - Description
   * - SparseDtype
     - Sparse data type for efficient storage

Datetime TZ Type
----------------

.. list-table::
   :widths: 25 75
   :header-rows: 1

   * - Type
     - Description
   * - DatetimeTZDtype
     - Datetime with timezone

Period Type
-----------

.. list-table::
   :widths: 25 75
   :header-rows: 1

   * - Type
     - Description
   * - PeriodDtype
     - Period data type