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Backport PR #29755 on branch v3.10.1-doc (DOC: Simplify annotation arrow style reference) #29787

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28 changes: 12 additions & 16 deletions 28 galleries/examples/text_labels_and_annotations/fancyarrow_demo.py
Original file line number Diff line number Diff line change
Expand Up @@ -19,35 +19,31 @@
nrow = (len(styles) + 1) // ncol
axs = (plt.figure(figsize=(4 * ncol, 1 + nrow))
.add_gridspec(1 + nrow, ncol,
wspace=.7, left=.1, right=.9, bottom=0, top=1).subplots())
wspace=0, hspace=0, left=0, right=1, bottom=0, top=1).subplots())
for ax in axs.flat:
ax.set_xlim(-0.5, 4)
ax.set_axis_off()
for ax in axs[0, :]:
ax.text(0, .5, "arrowstyle",
transform=ax.transAxes, size="large", color="tab:blue",
horizontalalignment="center", verticalalignment="center")
ax.text(.35, .5, "default parameters",
transform=ax.transAxes,
horizontalalignment="left", verticalalignment="center")
ax.text(-0.25, 0.5, "arrowstyle", size="large", color="tab:blue")
ax.text(1.25, .5, "default parameters", size="large")
for ax, (stylename, stylecls) in zip(axs[1:, :].T.flat, styles.items()):
l, = ax.plot(.25, .5, "ok", transform=ax.transAxes)
ax.annotate(stylename, (.25, .5), (-0.1, .5),
xycoords="axes fraction", textcoords="axes fraction",
size="large", color="tab:blue",
horizontalalignment="center", verticalalignment="center",
# draw dot and annotation with arrowstyle
l, = ax.plot(1, 0, "o", color="grey")
ax.annotate(stylename, (1, 0), (0, 0),
size="large", color="tab:blue", ha="center", va="center",
arrowprops=dict(
arrowstyle=stylename, connectionstyle="arc3,rad=-0.05",
color="k", shrinkA=5, shrinkB=5, patchB=l,
),
bbox=dict(boxstyle="square", fc="w"))
bbox=dict(boxstyle="square", fc="w", ec="grey"))
# draw default parameters
# wrap at every nth comma (n = 1 or 2, depending on text length)
s = str(inspect.signature(stylecls))[1:-1]
n = 2 if s.count(',') > 3 else 1
ax.text(.35, .5,
ax.text(1.25, 0,
re.sub(', ', lambda m, c=itertools.count(1): m.group()
if next(c) % n else '\n', s),
transform=ax.transAxes,
horizontalalignment="left", verticalalignment="center")
verticalalignment="center")

plt.show()

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