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DOC: update tutorial docs on changed sniffing feature of read_csv #9588

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Mar 5, 2015
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DOC: update tutorial docs on changed sniffing feature of read_csv #9588

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14 changes: 7 additions & 7 deletions doc/source/io.rst
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Original file line number Diff line number Diff line change
Expand Up @@ -82,10 +82,10 @@ They can take a number of arguments:
(including http, ftp, and S3 locations), or any object with a ``read``
method (such as an open file or ``StringIO``).
- ``sep`` or ``delimiter``: A delimiter / separator to split fields
on. `read_csv` is capable of inferring the delimiter automatically in some
cases by "sniffing." The separator may be specified as a regular
expression; for instance you may use '\|\\s*' to indicate a pipe plus
arbitrary whitespace.
on. With ``sep=None``, ``read_csv`` will try to infer the delimiter
automatically in some cases by "sniffing".
The separator may be specified as a regular expression; for instance
you may use '\|\\s*' to indicate a pipe plus arbitrary whitespace.
- ``delim_whitespace``: Parse whitespace-delimited (spaces or tabs) file
(much faster than using a regular expression)
- ``compression``: decompress ``'gzip'`` and ``'bz2'`` formats on the fly.
Expand Down Expand Up @@ -1085,8 +1085,8 @@ Automatically "sniffing" the delimiter
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

``read_csv`` is capable of inferring delimited (not necessarily
comma-separated) files. YMMV, as pandas uses the :class:`python:csv.Sniffer`
class of the csv module.
comma-separated) files, as pandas uses the :class:`python:csv.Sniffer`
class of the csv module. For this, you have to specify ``sep=None``.

.. ipython:: python
:suppress:
Expand All @@ -1098,7 +1098,7 @@ class of the csv module.
.. ipython:: python

print(open('tmp2.sv').read())
pd.read_csv('tmp2.sv')
pd.read_csv('tmp2.sv', sep=None)

.. _io.chunking:

Expand Down