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Copy file name to clipboardExpand all lines: doc/source/whatsnew/v0.17.0.txt
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@@ -90,13 +90,22 @@ The string format is as the python standard library and details can be found `he
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Support for SAS XPORT files
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^^^^^^^^^^^^^^^^^^^^^^^^^^^
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:meth:`~pandas.io.read_sas` provides support for reading SAS XPORT format files:
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:meth:`~pandas.io.read_sas` provides support for reading *SAS XPORT* format files. (:issue:`4052`).
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.. code-block:: python
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df = pd.read_sas('sas_xport.xpt')
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It is also possible to obtain an iterator and read an XPORT file
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incrementally.
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.. code-block:: python
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for df in pd.read_sas('sas_xport.xpt', chunksize=10000)
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do_something(df)
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See the :ref:`docs <io.sas>` for more details.
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.. _whatsnew_0170.enhancements.other:
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Other enhancements
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- Bug in ``pd.DataFrame`` when constructing an empty DataFrame with a string dtype (:issue:`9428`)
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- Bug in ``pd.unique`` for arrays with the ``datetime64`` or ``timedelta64`` dtype that meant an array with object dtype was returned instead the original dtype (:issue: `9431`)
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- Bug in ``DatetimeIndex.take`` and ``TimedeltaIndex.take`` may not raise ``IndexError`` against invalid index (:issue:`10295`)
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- Bug in ``Series([np.nan]).astype('M8[ms]')``, which now returns ``Series([pd.NaT])`` (:issue:`10747`)
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- Bug in ``Series([np.nan]).astype('M8[ms]')``, which now returns ``Series([pd.NaT])`` (:issue:`10747`)
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- Bug in ``PeriodIndex.order`` reset freq (:issue:`10295`)
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