Merge pull request #19711 from meeseeksmachine/auto-backport-of-pr-19709-on-v3.4.x

QuLogic · web-flow · commit 3e4318f280ef · 2021-03-15T18:24:08.000-04:00
Backport PR #19709 on branch v3.4.x (Fix arrow_guide.py typo)
diff --git a/examples/shapes_and_collections/arrow_guide.py b/examples/shapes_and_collections/arrow_guide.py
@@ -9,9 +9,9 @@
 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.
+example would be 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 end point, called 'anchor points' from now on.
@@ -39,10 +39,9 @@
 # -----------------------------------------------------------------------
 #
 # 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
+# to change shape or position if you pan or scale the plot.
 #
-# In this case we use `.patches.FancyArrowPatch`
+# 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.
@@ -63,14 +62,14 @@
 # ---------------------------------------------------
 #
 # 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.
+# 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.
+# stay the same.
 
 fig, axs = plt.subplots(nrows=2)
 arrow = mpatches.FancyArrowPatch((x_tail, y_tail), (dx, dy),
@@ -90,10 +89,10 @@
 # Head shape and anchor points fixed in data space
 # ------------------------------------------------
 #
-# In this case we use `.patches.Arrow`
+# In this case we use `.patches.Arrow`.
 #
 # Note that when the axis limits are changed, the arrow shape and location
-# changes.
+# change.
 
 fig, axs = plt.subplots(nrows=2)
 
