Skip to content

DOC: capitalize NumPy as proper noun #38631

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Dec 22, 2020
Merged

DOC: capitalize NumPy as proper noun #38631

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions doc/source/user_guide/10min.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -163,7 +163,7 @@ Selection

.. note::

While standard Python / Numpy expressions for selecting and setting are
While standard Python / NumPy expressions for selecting and setting are
intuitive and come in handy for interactive work, for production code, we
recommend the optimized pandas data access methods, ``.at``, ``.iat``,
``.loc`` and ``.iloc``.
Expand Down Expand Up @@ -239,7 +239,7 @@ Select via the position of the passed integers:

df.iloc[3]

By integer slices, acting similar to numpy/Python:
By integer slices, acting similar to NumPy/Python:

.. ipython:: python

Expand Down
2 changes: 1 addition & 1 deletion doc/source/user_guide/cookbook.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@ Simplified, condensed, new-user friendly, in-line examples have been inserted wh
augment the Stack-Overflow and GitHub links. Many of the links contain expanded information,
above what the in-line examples offer.

pandas (pd) and Numpy (np) are the only two abbreviated imported modules. The rest are kept
pandas (pd) and NumPy (np) are the only two abbreviated imported modules. The rest are kept
explicitly imported for newer users.

Idioms
Expand Down