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Matplotlibでファンシーボックスを描画する。
次の例は、異なる視覚的特性を持つボックスをプロットする方法を示しています。
import matplotlib.pyplot as plt
import matplotlib.transforms as mtransforms
import matplotlib.patches as mpatch
from matplotlib.patches import FancyBboxPatch
styles = mpatch.BoxStyle.get_styles()
spacing = 1.2
figheight = (spacing * len(styles) + .5)
fig1 = plt.figure(1, (4 / 1.5, figheight / 1.5))
fontsize = 0.3 * 72
for i, stylename in enumerate(sorted(styles)):
fig1.text(0.5, (spacing * (len(styles) - i) - 0.5) / figheight, stylename,
ha="center",
size=fontsize,
transform=fig1.transFigure,
bbox=dict(boxstyle=stylename, fc="w", ec="k"))
plt.show()
 
最初に、fancyboxのサンプルボックスをいくつか表示します。
import matplotlib.pyplot as plt
import matplotlib.transforms as mtransforms
import matplotlib.patches as mpatch
from matplotlib.patches import FancyBboxPatch
# Bbox object around which the fancy box will be drawn.
bb = mtransforms.Bbox([[0.3, 0.4], [0.7, 0.6]])
def draw_bbox(ax, bb):
# boxstyle=square with pad=0, i.e. bbox itself.
p_bbox = FancyBboxPatch((bb.xmin, bb.ymin),
abs(bb.width), abs(bb.height),
boxstyle="square,pad=0.",
ec="k", fc="none", zorder=10.,
)
ax.add_patch(p_bbox)
def test1(ax):
# a fancy box with round corners. pad=0.1
p_fancy = FancyBboxPatch((bb.xmin, bb.ymin),
abs(bb.width), abs(bb.height),
boxstyle="round,pad=0.1",
fc=(1., .8, 1.),
ec=(1., 0.5, 1.))
ax.add_patch(p_fancy)
ax.text(0.1, 0.8,
r' boxstyle="round,pad=0.1"',
size=10, transform=ax.transAxes)
# draws control points for the fancy box.
# l = p_fancy.get_path().vertices
# ax.plot(l[:,0], l[:,1], ".")
# draw the original bbox in black
draw_bbox(ax, bb)
def test2(ax):
# bbox=round has two optional argument. pad and rounding_size.
# They can be set during the initialization.
p_fancy = FancyBboxPatch((bb.xmin, bb.ymin),
abs(bb.width), abs(bb.height),
boxstyle="round,pad=0.1",
fc=(1., .8, 1.),
ec=(1., 0.5, 1.))
ax.add_patch(p_fancy)
# boxstyle and its argument can be later modified with
# set_boxstyle method. Note that the old attributes are simply
# forgotten even if the boxstyle name is same.
p_fancy.set_boxstyle("round,pad=0.1, rounding_size=0.2")
# or
# p_fancy.set_boxstyle("round", pad=0.1, rounding_size=0.2)
ax.text(0.1, 0.8,
' boxstyle="round,pad=0.1\n rounding_size=0.2"',
size=10, transform=ax.transAxes)
# draws control points for the fancy box.
# l = p_fancy.get_path().vertices
# ax.plot(l[:,0], l[:,1], ".")
draw_bbox(ax, bb)
def test3(ax):
# mutation_scale determine overall scale of the mutation,
# i.e. both pad and rounding_size is scaled according to this
# value.
p_fancy = FancyBboxPatch((bb.xmin, bb.ymin),
abs(bb.width), abs(bb.height),
boxstyle="round,pad=0.1",
mutation_scale=2.,
fc=(1., .8, 1.),
ec=(1., 0.5, 1.))
ax.add_patch(p_fancy)
ax.text(0.1, 0.8,
' boxstyle="round,pad=0.1"\n mutation_scale=2',
size=10, transform=ax.transAxes)
# draws control points for the fancy box.
# l = p_fancy.get_path().vertices
# ax.plot(l[:,0], l[:,1], ".")
draw_bbox(ax, bb)
def test4(ax):
# When the aspect ratio of the axes is not 1, the fancy box may
# not be what you expected (green)
p_fancy = FancyBboxPatch((bb.xmin, bb.ymin),
abs(bb.width), abs(bb.height),
boxstyle="round,pad=0.2",
fc="none",
ec=(0., .5, 0.), zorder=4)
ax.add_patch(p_fancy)
# You can compensate this by setting the mutation_aspect (pink).
p_fancy = FancyBboxPatch((bb.xmin, bb.ymin),
abs(bb.width), abs(bb.height),
boxstyle="round,pad=0.3",
mutation_aspect=.5,
fc=(1., 0.8, 1.),
ec=(1., 0.5, 1.))
ax.add_patch(p_fancy)
ax.text(0.1, 0.8,
' boxstyle="round,pad=0.3"\n mutation_aspect=.5',
size=10, transform=ax.transAxes)
draw_bbox(ax, bb)
def test_all():
plt.clf()
ax = plt.subplot(2, 2, 1)
test1(ax)
ax.set_xlim(0., 1.)
ax.set_ylim(0., 1.)
ax.set_title("test1")
ax.set_aspect(1.)
ax = plt.subplot(2, 2, 2)
ax.set_title("test2")
test2(ax)
ax.set_xlim(0., 1.)
ax.set_ylim(0., 1.)
ax.set_aspect(1.)
ax = plt.subplot(2, 2, 3)
ax.set_title("test3")
test3(ax)
ax.set_xlim(0., 1.)
ax.set_ylim(0., 1.)
ax.set_aspect(1)
ax = plt.subplot(2, 2, 4)
ax.set_title("test4")
test4(ax)
ax.set_xlim(-0.5, 1.5)
ax.set_ylim(0., 1.)
ax.set_aspect(2.)
plt.show()
test_all()
plt.show()
 
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