Skip to content

Fix a few broken links in docs #7694

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 2 commits into from
Dec 28, 2016
Merged

Fix a few broken links in docs #7694

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
6d642ae
Fix a few broken links
dstansby Dec 27, 2016
83827c2
One more link fix
dstansby Dec 27, 2016
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
2 changes: 1 addition & 1 deletion doc/devel/MEP/MEP11.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -117,7 +117,7 @@ Implementation
For installing from source, and assuming the user has all of the
C-level compilers and dependencies, this can be accomplished fairly
easily using `distribute` and following the instructions `here
<http://packages.python.org/distribute/>`_. The only anticipated
<https://pypi.python.org/pypi/distribute>`_. The only anticipated
change to the matplotlib library code will be to import `pyparsing`
from the top-level namespace rather than from within matplotlib. Note
that `distribute` will also allow us to remove the direct dependency
Expand Down
2 changes: 1 addition & 1 deletion doc/devel/gitwash/git_links.inc
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,7 @@
.. _network graph visualizer: http://github.com/blog/39-say-hello-to-the-network-graph-visualizer
.. _git user manual: http://schacon.github.com/git/user-manual.html
.. _git tutorial: http://schacon.github.com/git/gittutorial.html
.. _git community book: http://book.git-scm.com/
.. _git community book: https://git-scm.com/book/en/v2
.. _git ready: http://www.gitready.com/
.. _git casts: http://www.gitcasts.com/
.. _Fernando's git page: http://www.fperez.org/py4science/git.html
Expand Down
2 changes: 1 addition & 1 deletion doc/devel/license.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,7 @@ Licenses
Matplotlib only uses BSD compatible code. If you bring in code from
another project make sure it has a PSF, BSD, MIT or compatible license
(see the Open Source Initiative `licenses page
<http://www.opensource.org/licenses>`_ for details on individual
<http://opensource.org/licenses>`_ for details on individual
licenses). If it doesn't, you may consider contacting the author and
asking them to relicense it. GPL and LGPL code are not acceptable in
the main code base, though we are considering an alternative way of
Expand Down
5 changes: 3 additions & 2 deletions doc/users/colormaps.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -168,7 +168,8 @@ Color vision deficiencies

There is a lot of information available about color blindness (*e.g.*,
[colorblindness]_). Additionally, there are tools available to convert images to
how they look for different types of color vision deficiencies (*e.g.*, [asp]_).
how they look for different types of color vision deficiencies (*e.g.*,
[vischeck]_).

The most common form of color vision deficiency involves differentiating between
red and green. Thus, avoiding colormaps with both red and green will avoid many
Expand All @@ -187,5 +188,5 @@ References
.. [mycarta-cubelaw] http://mycarta.wordpress.com/2013/02/21/perceptual-rainbow-palette-the-method/
.. [bw] http://www.tannerhelland.com/3643/grayscale-image-algorithm-vb6/
.. [colorblindness] http://www.color-blindness.com/
.. [asp] http://aspnetresources.com/tools/colorBlindness
.. [vischeck] http://www.vischeck.com/vischeck/
.. [IBM] http://www.research.ibm.com/people/l/lloydt/color/color.HTM