From 415882ee1080e94e7d72762105f0c660881e4ec9 Mon Sep 17 00:00:00 2001 From: ezcitron <36384768+ezcitron@users.noreply.github.com> Date: Wed, 6 Mar 2019 15:15:00 -0800 Subject: [PATCH] fix minor typos in dsintro.rst --- doc/source/getting_started/dsintro.rst | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/doc/source/getting_started/dsintro.rst b/doc/source/getting_started/dsintro.rst index 94bec5c5bc83d..c8a2399739cd5 100644 --- a/doc/source/getting_started/dsintro.rst +++ b/doc/source/getting_started/dsintro.rst @@ -576,14 +576,14 @@ To write code compatible with all versions of Python, split the assignment in tw .. warning:: - Dependent assignment maybe subtly change the behavior of your code between + Dependent assignment may subtly change the behavior of your code between Python 3.6 and older versions of Python. - If you wish write code that supports versions of python before and after 3.6, + If you wish to write code that supports versions of python before and after 3.6, you'll need to take care when passing ``assign`` expressions that - * Updating an existing column - * Referring to the newly updated column in the same ``assign`` + * Update an existing column + * Refer to the newly updated column in the same ``assign`` For example, we'll update column "A" and then refer to it when creating "B". @@ -665,8 +665,8 @@ row-wise. For example: df - df.iloc[0] -In the special case of working with time series data, and the DataFrame index -also contains dates, the broadcasting will be column-wise: +In the special case of working with time series data, if the DataFrame index +contains dates, the broadcasting will be column-wise: .. ipython:: python :okwarning: