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Option Page Typos #16421

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12 changes: 6 additions & 6 deletions doc/source/options.rst
Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,7 @@ You can get/set options directly as attributes of the top-level ``options`` attr
pd.options.display.max_rows = 999
pd.options.display.max_rows
There is also an API composed of 5 relevant functions, available directly from the ``pandas``
The API is composed of 5 relevant functions, available directly from the ``pandas``
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The "there is also" does give a bit more the notion of "next to the possibility of directly getting/setting options onpd.options. .., you also have some functions to work with them". So maybe "Additionally, the ..", or "the api is further composed ..." ?

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OK, ignore this :-) as Tom already merged (not that important)

namespace:

- :func:`~pandas.get_option` / :func:`~pandas.set_option` - get/set the value of a single option.
Expand All @@ -40,7 +40,7 @@ namespace:
**Note:** developers can check out pandas/core/config.py for more info.

All of the functions above accept a regexp pattern (``re.search`` style) as an argument,
and so passing in a substring will work - as long as it is unambiguous :
and so passing in a substring will work - as long as it is unambiguous:

.. ipython:: python
Expand Down Expand Up @@ -241,7 +241,7 @@ suggestion.
df
``display.chop_threshold`` sets at what level pandas rounds to zero when
it displays a Series of DataFrame. Note, this does not effect the
it displays a Series of DataFrame. Note, this does not effect the
precision at which the number is stored.

.. ipython:: python
Expand Down Expand Up @@ -420,15 +420,15 @@ mode.chained_assignment warn Raise an exception, warn, or no
action if trying to use chained
assignment, The default is warn
mode.sim_interactive False Whether to simulate interactive mode
for purposes of testing
for purposes of testing.
mode.use_inf_as_null False True means treat None, NaN, -INF,
INF as null (old way), False means
None and NaN are null, but INF, -INF
are not null (new way).
compute.use_bottleneck True Use the bottleneck library to accelerate
computation if it is installed
computation if it is installed.
compute.use_numexpr True Use the numexpr library to accelerate
computation if it is installed
computation if it is installed.
=================================== ============ ==================================


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