From 1f2085e9c1f74e22421772e6e84d619ae6dadf6e Mon Sep 17 00:00:00 2001 From: andymaheshw Date: Mon, 22 May 2017 10:47:49 -0700 Subject: [PATCH] Option Page Typos (#16421) * capitalization update * update * undoing capitalization --- doc/source/options.rst | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/doc/source/options.rst b/doc/source/options.rst index 5f6bf2fbb9662..6ff5b76014c95 100644 --- a/doc/source/options.rst +++ b/doc/source/options.rst @@ -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`` namespace: - :func:`~pandas.get_option` / :func:`~pandas.set_option` - get/set the value of a single option. @@ -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 @@ -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 @@ -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. =================================== ============ ==================================