phyks/replot
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

Forgot to bump README.md

Browse Source
This commit is contained in:
Lucas Verney 2016-03-09 11:29:33 +01:00
parent 264253ed3e
commit d672b2873e
1 changed files with 7 additions and 9 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

16
README.md
View File

@ -15,9 +15,7 @@ design in the API, or required feature!
<dt>Saner default plots</dt>
<dd>Matplotlib plots are quite ugly by default, colors are not really
suited for optimal black and white print, or ease reading for colorblind
people. This module imports and makes use of
[Seaborn](https://github.com/mwaskom/seaborn) for saner default
params.</dd>
people. This module defines a clean default colorscheme to solve it.</dd>
<dt>Support <code>with</code> statement</dt>
<dd>Ever got tired of having to start any figure with a call to
@ -35,12 +33,12 @@ design in the API, or required feature!
<dt>Order of call of methods is no longer important</dt>
<dd>When calling a method from <code>matplotlib</code>, it is directly
applied to the figure, and not deferred to the final render call. Then, if
calling <code>matplotlib.pyplot.legend()</code> **before** having actually
<code>plot</code>ted anything, it will fail. This is not the case with
this module, as it abstracts on top of <code>matplotlib</code> and do the
actual render only when the figure is to be <code>show</code>n. Even after
having called the <code>show</code> method, you can still change
everything in your figure!</dd>
calling <code>matplotlib.pyplot.legend()</code> <strong>before</strong>
having actually <code>plot</code>ted anything, it will fail. This is not
the case with this module, as it abstracts on top of
<code>matplotlib</code> and do the actual render only when the figure is
to be <code>show</code>n. Even after having called the <code>show</code>
method, you can still change everything in your figure!</dd>
<dt>Does not interfere with <code>matplotlib</code></dt>
<dd>You can still use the default <code>matplotlib</code> if you want, as