diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs015.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs015.html
index 7eeec121b..62530e8d2 100644
--- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs015.html
+++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs015.html
@@ -152,22 +152,6 @@ MathJax.Hub.Config({
 <!-- !split -->
 
 <h2 id="___sec14" class="anchor">Playing around with regions </h2>
-
-<p>
-
-<!-- code=python (!bc pycod) typeset with pygments style "default" -->
-<div class="highlight" style="background: #f8f8f8"><pre style="line-height: 125%"><span></span>angle <span style="color: #666666">=</span> np<span style="color: #666666">.</span>pi <span style="color: #666666">/</span> <span style="color: #666666">180</span> <span style="color: #666666">*</span> <span style="color: #666666">20</span>
-rotation_matrix <span style="color: #666666">=</span> np<span style="color: #666666">.</span>array([[np<span style="color: #666666">.</span>cos(angle), <span style="color: #666666">-</span>np<span style="color: #666666">.</span>sin(angle)], [np<span style="color: #666666">.</span>sin(angle), np<span style="color: #666666">.</span>cos(angle)]])
-Xr <span style="color: #666666">=</span> X<span style="color: #666666">.</span>dot(rotation_matrix)
-
-tree_clf_r <span style="color: #666666">=</span> DecisionTreeClassifier(random_state<span style="color: #666666">=42</span>)
-tree_clf_r<span style="color: #666666">.</span>fit(Xr, y)
-
-plt<span style="color: #666666">.</span>figure(figsize<span style="color: #666666">=</span>(<span style="color: #666666">8</span>, <span style="color: #666666">3</span>))
-plot_decision_boundary(tree_clf_r, Xr, y, axes<span style="color: #666666">=</span>[<span style="color: #666666">0.5</span>, <span style="color: #666666">7.5</span>, <span style="color: #666666">-1.0</span>, <span style="color: #666666">1</span>], iris<span style="color: #666666">=</span><span style="color: #008000">False</span>)
-
-plt<span style="color: #666666">.</span>show()
-</pre></div>
 <p>
 
 <!-- code=python (!bc pycod) typeset with pygments style "default" -->
diff --git a/doc/pub/DecisionTrees/html/._DecisionTrees-bs017.html b/doc/pub/DecisionTrees/html/._DecisionTrees-bs017.html
index 013d19423..8a5f766d2 100644
--- a/doc/pub/DecisionTrees/html/._DecisionTrees-bs017.html
+++ b/doc/pub/DecisionTrees/html/._DecisionTrees-bs017.html
@@ -224,7 +224,6 @@ plt<span style="color: #666666">.</span>axis([<span style="color: #666666">0</sp
 plt<span style="color: #666666">.</span>xlabel(<span style="color: #BA2121">&quot;$x_1$&quot;</span>, fontsize<span style="color: #666666">=18</span>)
 plt<span style="color: #666666">.</span>title(<span style="color: #BA2121">&quot;min_samples_leaf={}&quot;</span><span style="color: #666666">.</span>format(tree_reg2<span style="color: #666666">.</span>min_samples_leaf), fontsize<span style="color: #666666">=14</span>)
 
-save_fig(<span style="color: #BA2121">&quot;tree_regression_regularization_plot&quot;</span>)
 plt<span style="color: #666666">.</span>show()
 </pre></div>
 <p>
diff --git a/doc/pub/DecisionTrees/html/DecisionTrees-reveal.html b/doc/pub/DecisionTrees/html/DecisionTrees-reveal.html
index 812be45b1..cac499a88 100644
--- a/doc/pub/DecisionTrees/html/DecisionTrees-reveal.html
+++ b/doc/pub/DecisionTrees/html/DecisionTrees-reveal.html
@@ -727,22 +727,6 @@ plt.show()
 
 <section>
 <h2 id="___sec14">Playing around with regions </h2>
-
-<p>
-
-<!-- code=python (!bc pycod) typeset with pygments style "perldoc" -->
-<div class="highlight" style="background: #eeeedd"><pre style="font-size: 80%; line-height: 125%"><span></span>angle = np.pi / <span style="color: #B452CD">180</span> * <span style="color: #B452CD">20</span>
-rotation_matrix = np.array([[np.cos(angle), -np.sin(angle)], [np.sin(angle), np.cos(angle)]])
-Xr = X.dot(rotation_matrix)
-
-tree_clf_r = DecisionTreeClassifier(random_state=<span style="color: #B452CD">42</span>)
-tree_clf_r.fit(Xr, y)
-
-plt.figure(figsize=(<span style="color: #B452CD">8</span>, <span style="color: #B452CD">3</span>))
-plot_decision_boundary(tree_clf_r, Xr, y, axes=[<span style="color: #B452CD">0.5</span>, <span style="color: #B452CD">7.5</span>, -<span style="color: #B452CD">1.0</span>, <span style="color: #B452CD">1</span>], iris=<span style="color: #658b00">False</span>)
-
-plt.show()
-</pre></div>
 <p>
 
 <!-- code=python (!bc pycod) typeset with pygments style "perldoc" -->
@@ -867,7 +851,6 @@ plt.axis([<span style="color: #B452CD">0</span>, <span style="color: #B452CD">1<
 plt.xlabel(<span style="color: #CD5555">&quot;$x_1$&quot;</span>, fontsize=<span style="color: #B452CD">18</span>)
 plt.title(<span style="color: #CD5555">&quot;min_samples_leaf={}&quot;</span>.format(tree_reg2.min_samples_leaf), fontsize=<span style="color: #B452CD">14</span>)
 
-save_fig(<span style="color: #CD5555">&quot;tree_regression_regularization_plot&quot;</span>)
 plt.show()
 </pre></div>
 </section>
diff --git a/doc/pub/DecisionTrees/html/DecisionTrees-solarized.html b/doc/pub/DecisionTrees/html/DecisionTrees-solarized.html
index aa31df26a..1ed6d33a6 100644
--- a/doc/pub/DecisionTrees/html/DecisionTrees-solarized.html
+++ b/doc/pub/DecisionTrees/html/DecisionTrees-solarized.html
@@ -693,22 +693,6 @@ plt.show()
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
 
 <h2 id="___sec14">Playing around with regions </h2>
-
-<p>
-
-<!-- code=python (!bc pycod) typeset with pygments style "perldoc" -->
-<div class="highlight" style="background: #eeeedd"><pre style="line-height: 125%"><span></span>angle = np.pi / <span style="color: #B452CD">180</span> * <span style="color: #B452CD">20</span>
-rotation_matrix = np.array([[np.cos(angle), -np.sin(angle)], [np.sin(angle), np.cos(angle)]])
-Xr = X.dot(rotation_matrix)
-
-tree_clf_r = DecisionTreeClassifier(random_state=<span style="color: #B452CD">42</span>)
-tree_clf_r.fit(Xr, y)
-
-plt.figure(figsize=(<span style="color: #B452CD">8</span>, <span style="color: #B452CD">3</span>))
-plot_decision_boundary(tree_clf_r, Xr, y, axes=[<span style="color: #B452CD">0.5</span>, <span style="color: #B452CD">7.5</span>, -<span style="color: #B452CD">1.0</span>, <span style="color: #B452CD">1</span>], iris=<span style="color: #658b00">False</span>)
-
-plt.show()
-</pre></div>
 <p>
 
 <!-- code=python (!bc pycod) typeset with pygments style "perldoc" -->
@@ -831,7 +815,6 @@ plt.axis([<span style="color: #B452CD">0</span>, <span style="color: #B452CD">1<
 plt.xlabel(<span style="color: #CD5555">&quot;$x_1$&quot;</span>, fontsize=<span style="color: #B452CD">18</span>)
 plt.title(<span style="color: #CD5555">&quot;min_samples_leaf={}&quot;</span>.format(tree_reg2.min_samples_leaf), fontsize=<span style="color: #B452CD">14</span>)
 
-save_fig(<span style="color: #CD5555">&quot;tree_regression_regularization_plot&quot;</span>)
 plt.show()
 </pre></div>
 <p>
diff --git a/doc/pub/DecisionTrees/html/DecisionTrees.html b/doc/pub/DecisionTrees/html/DecisionTrees.html
index ea74bec0d..564feebc5 100644
--- a/doc/pub/DecisionTrees/html/DecisionTrees.html
+++ b/doc/pub/DecisionTrees/html/DecisionTrees.html
@@ -698,22 +698,6 @@ plt<span style="color: #666666">.</span>show()
 <!-- !split --><br><br><br><br><br><br><br><br><br><br>
 
 <h2 id="___sec14">Playing around with regions </h2>
-
-<p>
-
-<!-- code=python (!bc pycod) typeset with pygments style "default" -->
-<div class="highlight" style="background: #f8f8f8"><pre style="line-height: 125%"><span></span>angle <span style="color: #666666">=</span> np<span style="color: #666666">.</span>pi <span style="color: #666666">/</span> <span style="color: #666666">180</span> <span style="color: #666666">*</span> <span style="color: #666666">20</span>
-rotation_matrix <span style="color: #666666">=</span> np<span style="color: #666666">.</span>array([[np<span style="color: #666666">.</span>cos(angle), <span style="color: #666666">-</span>np<span style="color: #666666">.</span>sin(angle)], [np<span style="color: #666666">.</span>sin(angle), np<span style="color: #666666">.</span>cos(angle)]])
-Xr <span style="color: #666666">=</span> X<span style="color: #666666">.</span>dot(rotation_matrix)
-
-tree_clf_r <span style="color: #666666">=</span> DecisionTreeClassifier(random_state<span style="color: #666666">=42</span>)
-tree_clf_r<span style="color: #666666">.</span>fit(Xr, y)
-
-plt<span style="color: #666666">.</span>figure(figsize<span style="color: #666666">=</span>(<span style="color: #666666">8</span>, <span style="color: #666666">3</span>))
-plot_decision_boundary(tree_clf_r, Xr, y, axes<span style="color: #666666">=</span>[<span style="color: #666666">0.5</span>, <span style="color: #666666">7.5</span>, <span style="color: #666666">-1.0</span>, <span style="color: #666666">1</span>], iris<span style="color: #666666">=</span><span style="color: #008000">False</span>)
-
-plt<span style="color: #666666">.</span>show()
-</pre></div>
 <p>
 
 <!-- code=python (!bc pycod) typeset with pygments style "default" -->
@@ -836,7 +820,6 @@ plt<span style="color: #666666">.</span>axis([<span style="color: #666666">0</sp
 plt<span style="color: #666666">.</span>xlabel(<span style="color: #BA2121">&quot;$x_1$&quot;</span>, fontsize<span style="color: #666666">=18</span>)
 plt<span style="color: #666666">.</span>title(<span style="color: #BA2121">&quot;min_samples_leaf={}&quot;</span><span style="color: #666666">.</span>format(tree_reg2<span style="color: #666666">.</span>min_samples_leaf), fontsize<span style="color: #666666">=14</span>)
 
-save_fig(<span style="color: #BA2121">&quot;tree_regression_regularization_plot&quot;</span>)
 plt<span style="color: #666666">.</span>show()
 </pre></div>
 <p>
diff --git a/doc/pub/DecisionTrees/ipynb/ipynb-DecisionTrees-src.tar.gz b/doc/pub/DecisionTrees/ipynb/ipynb-DecisionTrees-src.tar.gz
index 6d671db47..ef06327d3 100644
Binary files a/doc/pub/DecisionTrees/ipynb/ipynb-DecisionTrees-src.tar.gz and b/doc/pub/DecisionTrees/ipynb/ipynb-DecisionTrees-src.tar.gz differ
diff --git a/doc/pub/DecisionTrees/pdf/DecisionTrees-minted.pdf b/doc/pub/DecisionTrees/pdf/DecisionTrees-minted.pdf
index 183d6d78f..84e20206f 100644
Binary files a/doc/pub/DecisionTrees/pdf/DecisionTrees-minted.pdf and b/doc/pub/DecisionTrees/pdf/DecisionTrees-minted.pdf differ
diff --git a/doc/src/DecisionTrees/DecisionTrees.do.txt b/doc/src/DecisionTrees/DecisionTrees.do.txt
index 3a7bfd064..08781619f 100644
--- a/doc/src/DecisionTrees/DecisionTrees.do.txt
+++ b/doc/src/DecisionTrees/DecisionTrees.do.txt
@@ -509,22 +509,6 @@ plt.show()
 
 !split
 ===== Playing around with regions =====
-
-!bc pycod 
-angle = np.pi / 180 * 20
-rotation_matrix = np.array([[np.cos(angle), -np.sin(angle)], [np.sin(angle), np.cos(angle)]])
-Xr = X.dot(rotation_matrix)
-
-tree_clf_r = DecisionTreeClassifier(random_state=42)
-tree_clf_r.fit(Xr, y)
-
-plt.figure(figsize=(8, 3))
-plot_decision_boundary(tree_clf_r, Xr, y, axes=[0.5, 7.5, -1.0, 1], iris=False)
-
-plt.show()
-!ec
-
-
 !bc pycod
 np.random.seed(6)
 Xs = np.random.rand(100, 2) - 0.5
@@ -637,7 +621,6 @@ plt.axis([0, 1, -0.2, 1.1])
 plt.xlabel("$x_1$", fontsize=18)
 plt.title("min_samples_leaf={}".format(tree_reg2.min_samples_leaf), fontsize=14)
 
-save_fig("tree_regression_regularization_plot")
 plt.show()
 !ec