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matplotlib/examples/pylab_examples/fancybox_demo.py at master · feisuo/matplotlib · GitHub
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examples
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pylab_examples
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fancybox_demo.py
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matplotlib
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examples
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pylab_examples
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fancybox_demo.py
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import
matplotlib
.
pyplot
as
plt
import
matplotlib
.
transforms
as
mtransforms
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
.
draw
()
plt
.
show
()
test_all
()
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