matplotlib
diff --git a/‎examples/pyplots/fig_x.py
Copy file name to clipboardExpand all lines: examples/pyplots/fig_x.py
+3-4Lines changed: 3 additions & 4 deletions b/‎examples/pyplots/fig_x.py
Copy file name to clipboardExpand all lines: examples/pyplots/fig_x.py
+3-4Lines changed: 3 additions & 4 deletions
diff --git a/‎examples/shapes_and_collections/fancybox_demo.py
Copy file name to clipboardExpand all lines: examples/shapes_and_collections/fancybox_demo.py
+8-11Lines changed: 8 additions & 11 deletions b/‎examples/shapes_and_collections/fancybox_demo.py
Copy file name to clipboardExpand all lines: examples/shapes_and_collections/fancybox_demo.py
+8-11Lines changed: 8 additions & 11 deletions
@@ -5,15 +5,14 @@
 
 Adding lines to a figure without any axes.
 """
+
 import matplotlib.pyplot as plt
 import matplotlib.lines as lines
 
 
 fig = plt.figure()
-l1 = lines.Line2D([0, 1], [0, 1], transform=fig.transFigure, figure=fig)
-l2 = lines.Line2D([0, 1], [1, 0], transform=fig.transFigure, figure=fig)
-fig.lines.extend([l1, l2])
-
+fig.add_artist(lines.Line2D([0, 1], [0, 1]))
+fig.add_artist(lines.Line2D([0, 1], [1, 0]))
 plt.show()
 
 #############################################################################
 
@@ -1,13 +1,11 @@
 """
-=============
-Fancybox Demo
-=============
+===================
+Drawing fancy boxes
+===================
 
-Plotting fancy boxes with Matplotlib.
-
-The following examples show how to plot boxes with different
-visual properties.
+The following examples show how to plot boxes with different visual properties.
 """
+
 import matplotlib.pyplot as plt
 import matplotlib.transforms as mtransforms
 import matplotlib.patches as mpatch
@@ -25,10 +23,9 @@
 
 for i, stylename in enumerate(sorted(styles)):
     fig.text(0.5, (spacing * (len(styles) - i) - 0.5) / figheight, stylename,
-              ha="center",
-              size=fontsize,
-              transform=fig.transFigure,
-              bbox=dict(boxstyle=stylename, fc="w", ec="k"))
+             ha="center",
+             size=fontsize,
+             bbox=dict(boxstyle=stylename, fc="w", ec="k"))
 
 plt.show()