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datapythonista merged 5 commits into from
Jan 3, 2020
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DOC: Add strings for dtypes in basic.rst #30628

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DOC: Add strings for dypes in basic.rst
Dr-Irv Jan 2, 2020
bda57dc
Merge remote-tracking branch 'upstream/master' into dtypedoc
Dr-Irv Jan 2, 2020
a2cf970
remove extraneous Sparse types. use 'alias' rather than 'shortcut'
Dr-Irv Jan 2, 2020
1feefc6
add spaces. Fix ref to SparseArray
Dr-Irv Jan 3, 2020
7011988
fix typo in last line of dtype table
Dr-Irv Jan 3, 2020
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add spaces. Fix ref to SparseArray
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@Dr-Irv
Dr-Irv committed Jan 3, 2020
commit 1feefc69241a8944bbdf3e7cd042336ef9554be7
52 changes: 26 additions & 26 deletions doc/source/getting_started/basics.rst
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Expand Up @@ -1941,32 +1941,32 @@ The following table lists all of pandas extension types. For methods requiring `
arguments, strings can be specified as indicated. See the respective
documentation sections for more on each type.

+------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
|Kind of Data | Data Type | Scalar | Array | String Aliases | Documentation |
+==================+===========================+====================+===============================+=========================================+===============================+
|tz-aware datetime | :class:`DatetimeTZDtype` | :class:`Timestamp` | :class:`arrays.DatetimeArray` | ``'datetime64[ns, <tz>]'`` | :ref:`timeseries.timezone` |
+------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
|Categorical | :class:`CategoricalDtype` | (none) | :class:`Categorical` | ``'category'`` | :ref:`categorical` |
+------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
|period | :class:`PeriodDtype` | :class:`Period` | :class:`arrays.PeriodArray` | ``'period[<freq>]'``, | :ref:`timeseries.periods` |
|(time spans) | | | | ``'Period[<freq>]'`` | |
+------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
|sparse | :class:`SparseDtype` | (none) | :class:`arrays.SparseArray` | ``'Sparse'``, ``'Sparse[int]'``, | :ref:`sparse` |
| | | | | ``'Sparse[float]'`` | |
+------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
| intervals | :class:`IntervalDtype` | :class:`Interval` | :class:`arrays.IntervalArray` | ``'interval'``, ``'Interval'``, | :ref:`advanced.intervalindex` |
| | | | | ``'Interval[<numpy_dtype>]'``, | |
| | | | | ``'Interval[datetime64[ns, <tz>]]'``, | |
| | | | | ``'Interval[timedelta64[<freq>]]'`` | |
+------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
| nullable integer + :class:`Int64Dtype`, ... | (none) | :class:`arrays.IntegerArray` | ``'Int8'``, ``'Int16'``, ``'Int32'``, | :ref:`integer_na` |
| | | | | ``'Int64'``, ``'UInt8'``, ``'UInt16'``, | |
| | | | | ``'UInt32'``, ``'UInt64'`` | |
+------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
| Strings | :class:`StringDtype` | :class:`str` | :class:`arrays.StringArray` | ``'string'`` | :ref:`text` |
+------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
| Boolean (with NA)| :class:`BooleanDtype` | :class:`bool` | :class:`arrays.BooleanArray` | ``'boolean'`` | :ref:`api.arrays.bool` |
+------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
+-------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
| Kind of Data | Data Type | Scalar | Array | String Aliases | Documentation |
+===================+===========================+====================+===============================+=========================================+===============================+
| tz-aware datetime | :class:`DatetimeTZDtype` | :class:`Timestamp` | :class:`arrays.DatetimeArray` | ``'datetime64[ns, <tz>]'`` | :ref:`timeseries.timezone` |
+-------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
| Categorical | :class:`CategoricalDtype` | (none) | :class:`Categorical` | ``'category'`` | :ref:`categorical` |
+-------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
| period | :class:`PeriodDtype` | :class:`Period` | :class:`arrays.PeriodArray` | ``'period[<freq>]'``, | :ref:`timeseries.periods` |
| (time spans) | | | | ``'Period[<freq>]'`` | |
+-------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
| sparse | :class:`SparseDtype` | (none) | :class:`SparseArray` | ``'Sparse'``, ``'Sparse[int]'``, | :ref:`sparse` |
| | | | | ``'Sparse[float]'`` | |
+-------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
| intervals | :class:`IntervalDtype` | :class:`Interval` | :class:`arrays.IntervalArray` | ``'interval'``, ``'Interval'``, | :ref:`advanced.intervalindex` |
| | | | | ``'Interval[<numpy_dtype>]'``, | |
| | | | | ``'Interval[datetime64[ns, <tz>]]'``, | |
| | | | | ``'Interval[timedelta64[<freq>]]'`` | |
+-------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
| nullable integer + :class:`Int64Dtype`, ... | (none) | :class:`arrays.IntegerArray` | ``'Int8'``, ``'Int16'``, ``'Int32'``, | :ref:`integer_na` |
| | | | | ``'Int64'``, ``'UInt8'``, ``'UInt16'``, | |
| | | | | ``'UInt32'``, ``'UInt64'`` | |
+-------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
| Strings | :class:`StringDtype` | :class:`str` | :class:`arrays.StringArray` | ``'string'`` | :ref:`text` |
+-------------------+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+
| Boolean (with NA) | :class:`BooleanDtype` | :class:`bool` | :class:`arrays.BooleanArray` | ``'boolean'`` | :ref:`api.arrays.bool` |
+-----------------0-+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+

Pandas has two ways to store strings.

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