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[DOC] Transferring data from the 6th column to the first. #44379 (#44427)
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doc/source/user_guide/basics.rst

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@@ -2051,32 +2051,33 @@ The following table lists all of pandas extension types. For methods requiring `
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arguments, strings can be specified as indicated. See the respective
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documentation sections for more on each type.
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+-------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
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| Kind of Data | Data Type | Scalar | Array | String Aliases | Documentation |
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+===================+===========================+====================+===============================+=========================================+===============================+
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| tz-aware datetime | :class:`DatetimeTZDtype` | :class:`Timestamp` | :class:`arrays.DatetimeArray` | ``'datetime64[ns, <tz>]'`` | :ref:`timeseries.timezone` |
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+-------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
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| Categorical | :class:`CategoricalDtype` | (none) | :class:`Categorical` | ``'category'`` | :ref:`categorical` |
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+-------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
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| period | :class:`PeriodDtype` | :class:`Period` | :class:`arrays.PeriodArray` | ``'period[<freq>]'``, | :ref:`timeseries.periods` |
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| (time spans) | | | | ``'Period[<freq>]'`` | |
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+-------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
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| sparse | :class:`SparseDtype` | (none) | :class:`arrays.SparseArray` | ``'Sparse'``, ``'Sparse[int]'``, | :ref:`sparse` |
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| | | | | ``'Sparse[float]'`` | |
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+-------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
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| intervals | :class:`IntervalDtype` | :class:`Interval` | :class:`arrays.IntervalArray` | ``'interval'``, ``'Interval'``, | :ref:`advanced.intervalindex` |
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| | | | | ``'Interval[<numpy_dtype>]'``, | |
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| | | | | ``'Interval[datetime64[ns, <tz>]]'``, | |
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| | | | | ``'Interval[timedelta64[<freq>]]'`` | |
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+-------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
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| nullable integer + :class:`Int64Dtype`, ... | (none) | :class:`arrays.IntegerArray` | ``'Int8'``, ``'Int16'``, ``'Int32'``, | :ref:`integer_na` |
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| | | | | ``'Int64'``, ``'UInt8'``, ``'UInt16'``, | |
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| | | | | ``'UInt32'``, ``'UInt64'`` | |
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+-------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
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| Strings | :class:`StringDtype` | :class:`str` | :class:`arrays.StringArray` | ``'string'`` | :ref:`text` |
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+-------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
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| Boolean (with NA) | :class:`BooleanDtype` | :class:`bool` | :class:`arrays.BooleanArray` | ``'boolean'`` | :ref:`api.arrays.bool` |
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+-------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
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+-------------------------------------------------+---------------------------+--------------------+-------------------------------+----------------------------------------+
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| Kind of Data | Data Type | Scalar | Array | String Aliases |
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+=================================================+===============+===========+========+===========+===============================+========================================+
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| :ref:`tz-aware datetime <timeseries.timezone>` | :class:`DatetimeTZDtype` | :class:`Timestamp` | :class:`arrays.DatetimeArray` | ``'datetime64[ns, <tz>]'`` |
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| | | | | |
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+-------------------------------------------------+---------------+-----------+--------------------+-------------------------------+----------------------------------------+
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| :ref:`Categorical <categorical>` | :class:`CategoricalDtype` | (none) | :class:`Categorical` | ``'category'`` |
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+-------------------------------------------------+---------------------------+--------------------+-------------------------------+----------------------------------------+
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| :ref:`period (time spans) <timeseries.periods>` | :class:`PeriodDtype` | :class:`Period` | :class:`arrays.PeriodArray` | ``'period[<freq>]'``, |
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| | | | ``'Period[<freq>]'`` | |
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+-------------------------------------------------+---------------------------+--------------------+-------------------------------+----------------------------------------+
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| :ref:`sparse <sparse>` | :class:`SparseDtype` | (none) | :class:`arrays.SparseArray` | ``'Sparse'``, ``'Sparse[int]'``, |
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| | | | | ``'Sparse[float]'`` |
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+-------------------------------------------------+---------------------------+--------------------+-------------------------------+----------------------------------------+
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| :ref:`intervals <advanced.intervalindex>` | :class:`IntervalDtype` | :class:`Interval` | :class:`arrays.IntervalArray` | ``'interval'``, ``'Interval'``, |
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| | | | | ``'Interval[<numpy_dtype>]'``, |
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| | | | | ``'Interval[datetime64[ns, <tz>]]'``, |
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| | | | | ``'Interval[timedelta64[<freq>]]'`` |
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+-------------------------------------------------+---------------------------+--------------------+-------------------------------+----------------------------------------+
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| :ref:`nullable integer <integer_na>` | :class:`Int64Dtype`, ... | (none) | :class:`arrays.IntegerArray` | ``'Int8'``, ``'Int16'``, ``'Int32'``, |
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| | | | | ``'Int64'``, ``'UInt8'``, ``'UInt16'``,|
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| | | | | ``'UInt32'``, ``'UInt64'`` |
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+-------------------------------------------------+---------------------------+--------------------+-------------------------------+----------------------------------------+
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| :ref:`Strings <text>` | :class:`StringDtype` | :class:`str` | :class:`arrays.StringArray` | ``'string'`` |
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+-------------------------------------------------+---------------------------+--------------------+-------------------------------+----------------------------------------+
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| :ref:`Boolean (with NA) <api.arrays.bool>` | :class:`BooleanDtype` | :class:`bool` | :class:`arrays.BooleanArray` | ``'boolean'`` |
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+-------------------------------------------------+---------------------------+--------------------+-------------------------------+----------------------------------------+
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pandas has two ways to store strings.
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