add spaces. Fix ref to SparseArray · pandas-dev/pandas@1feefc6 (original) (raw)

`` @@ -1941,32 +1941,32 @@ 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 | 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:`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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+-----------------0-+---------------------------+--------------------+-------------------------------+-----------------------------------------+-------------------------------+

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`Pandas has two ways to store strings.

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