matplotlib · jklymak · May 30, 2018 · May 10, 2018 · May 24, 2018 · May 24, 2018
diff --git a/examples/shapes_and_collections/arrow_guide.py b/examples/shapes_and_collections/arrow_guide.py
@@ -0,0 +1,110 @@
+"""
+===========
+Arrow guide
+===========
+
+Adding arrow patches to plots.
+
+Arrows are often used to annotate plots. This tutorial shows how to plot arrows
+that behave differently when the data limits on a plot are changed. In general,
+points on a plot can either be fixed in "data space" or "display space".
+Something plotted in data space moves when the data limits are altered - an
+example would the points in a scatter plot. Something plotted in display space
+stays static when data limits are altered - an example would be a figure title
+or the axis labels.
+
+Arrows consist of a head (and possibly a tail) and a stem drawn between a
+start point and and end point, called 'anchor points' from now on.
+Here we show three use cases for plotting arrows, depending on whether the
+head or anchor points need to be fixed in data or display space:
+
+    1. Head shape fixed in display space, anchor points fixed in data space
+    2. Head shape and anchor points fixed in display space
+    3. Entire patch fixed in data space
+
+Below each use case is presented in turn.
+"""
+import matplotlib.patches as mpatches
+import matplotlib.pyplot as plt
+x_tail = 0.1
+y_tail = 0.1
+x_head = 0.9
+y_head = 0.9
+dx = x_head - x_tail
+dy = y_head - y_tail
+
+
+###############################################################################
+# Head shape fixed in display space and anchor points fixed in data space
+# -----------------------------------------------------------------------
+#
+# This is useful if you are annotating a plot, and don't want the arrow to
+# to change shape or position if you pan or scale the plot. Note that when
+# the axis limits change
+#
+# In this case we use `.patches.FancyArrowPatch`
+#
+# Note that when the axis limits are changed, the arrow shape stays the same,
+# but the anchor points move.
+
+fig, axs = plt.subplots(nrows=2)
+arrow = mpatches.FancyArrowPatch((x_tail, y_tail), (dx, dy),
+                                 mutation_scale=100)
+axs[0].add_patch(arrow)
+
+arrow = mpatches.FancyArrowPatch((x_tail, y_tail), (dx, dy),
+                                 mutation_scale=100)
+axs[1].add_patch(arrow)
+axs[1].set_xlim(0, 2)
+axs[1].set_ylim(0, 2)
+
+###############################################################################
+# Head shape and anchor points fixed in display space
+# ---------------------------------------------------
+#
+# This is useful if you are annotating a plot, and don't want the arrow to
+# to change shape or position if you pan or scale the plot.
+#
+# In this case we use `.patches.FancyArrowPatch`, and pass the keyword argument
+# ``transform=ax.transAxes`` where ``ax`` is the axes we are adding the patch
+# to.
+#
+# Note that when the axis limits are changed, the arrow shape and location
+# stays the same.
+
+fig, axs = plt.subplots(nrows=2)
+arrow = mpatches.FancyArrowPatch((x_tail, y_tail), (dx, dy),
+                                 mutation_scale=100,
+                                 transform=axs[0].transAxes)
+axs[0].add_patch(arrow)
+
+arrow = mpatches.FancyArrowPatch((x_tail, y_tail), (dx, dy),
+                                 mutation_scale=100,
+                                 transform=axs[1].transAxes)
+axs[1].add_patch(arrow)
+axs[1].set_xlim(0, 2)
+axs[1].set_ylim(0, 2)
+
+
+###############################################################################
+# Head shape and anchor points fixed in data space
+# ------------------------------------------------
+#
+# In this case we use `.patches.Arrow`
+#
+# Note that when the axis limits are changed, the arrow shape and location
+# changes.
+
+fig, axs = plt.subplots(nrows=2)
+
+arrow = mpatches.Arrow(x_tail, y_tail, dx, dy)
+axs[0].add_patch(arrow)
+
+arrow = mpatches.Arrow(x_tail, y_tail, dx, dy)
+axs[1].add_patch(arrow)
+axs[1].set_xlim(0, 2)
+axs[1].set_ylim(0, 2)
+
+###############################################################################
+
+plt.show()