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Slightly rephrase SPSS doc #27754

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Aug 5, 2019
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Slightly rephrase SPSS doc #27754

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17 changes: 8 additions & 9 deletions doc/source/user_guide/io.rst
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Expand Up @@ -5491,30 +5491,29 @@ The top-level function :func:`read_spss` can read (but not write) SPSS
`sav` (.sav) and `zsav` (.zsav) format files.

SPSS files contain column names. By default the
whole file is read, categorical columns are converted into ``pd.Categorical``
whole file is read, categorical columns are converted into ``pd.Categorical``,
and a ``DataFrame`` with all columns is returned.

Specify a ``usecols`` to obtain a subset of columns. Specify ``convert_categoricals=False``
Specify the ``usecols`` parameter to obtain a subset of columns. Specify ``convert_categoricals=False``
to avoid converting categorical columns into ``pd.Categorical``.

Read a spss file:
Read an SPSS file:

.. code-block:: python

df = pd.read_spss('spss_data.zsav')
df = pd.read_spss('spss_data.sav')

Extract a subset of columns ``usecols`` from SPSS file and
Extract a subset of columns contained in ``usecols`` from an SPSS file and
avoid converting categorical columns into ``pd.Categorical``:

.. code-block:: python

df = pd.read_spss('spss_data.zsav', usecols=['foo', 'bar'],
df = pd.read_spss('spss_data.sav', usecols=['foo', 'bar'],
convert_categoricals=False)

More info_ about the sav and zsav file format is available from the IBM
web site.
More information about the `sav` and `zsav` file format is available here_.

.. _info: https://www.ibm.com/support/knowledgecenter/en/SSLVMB_22.0.0/com.ibm.spss.statistics.help/spss/base/savedatatypes.htm
.. _here: https://www.ibm.com/support/knowledgecenter/en/SSLVMB_22.0.0/com.ibm.spss.statistics.help/spss/base/savedatatypes.htm

.. _io.other:

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