From 43ed59781e91840fbd3216afcd52084de65ecbda Mon Sep 17 00:00:00 2001
From: Blaise Thompson <blaise@untzag.com>
Date: Mon, 19 Mar 2018 23:19:18 -0500
Subject: 2018-03-10 23:19

---
 processing/chapter.tex | 27 +++++++++++++++++++++++++++
 1 file changed, 27 insertions(+)

(limited to 'processing/chapter.tex')

diff --git a/processing/chapter.tex b/processing/chapter.tex
index 0e0e5cb..3225624 100644
--- a/processing/chapter.tex
+++ b/processing/chapter.tex
@@ -308,12 +308,39 @@ In the future, other libraries (e.g. mayavi), may be incorporated.  %
 
 \subsubsection{1D}
 
+\begin{dfigure}
+  \includegraphics[width=0.5\textwidth]{"processing/quick1D 000"}
+  \includepython{"processing/quick1D.py"}
+  \caption[CAPTION TODO]
+    {CAPTION TODO}
+\end{dfigure}
+
 \subsubsection{2D}
 
+\begin{dfigure}
+  \includegraphics[width=0.5\textwidth]{"processing/quick2D 000"}
+  \includepython{"processing/quick2D.py"}
+  \caption[CAPTION TODO]
+    {CAPTION TODO}
+\end{dfigure}
+
 \subsection{Specialty}  % -------------------------------------------------------------------------
 
 \subsection{Artists API}  % -----------------------------------------------------------------------
 
+The artists sub-package offers a thin wrapper on the default matplotlib object-oriented figure
+creation API.  %
+The wrapper allows WrightTools to add the following capabilities on top of matplotlib:
+\begin{ditemize}
+  \item More consistent multi-axes figure layout.
+  \item Ability to plot data objects directly.
+\end{ditemize}
+Each of these is meant to lower the barrier to plotting data.  %
+Without going into every detail of matplotlib figure generation capabilities, this section
+introduces the unique strategy that the WrightTools wrapper takes.  %
+
+% TODO: finish discussion
+
 \subsection{Colormaps}  % -------------------------------------------------------------------------
 
 \subsection{Interpolation}  % ---------------------------------------------------------------------
-- 
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