def _render_on_subplot(self, subplot):
"""
Render this arrow in a subplot. This is the key function that
defines how this arrow graphics primitive is rendered in
matplotlib's library.
EXAMPLES::
This function implicitly ends up rendering this arrow on a matplotlib subplot:
sage: arrow(path=[[(0,1), (2,-1), (4,5)]])
"""
options = self.options()
width = float(options['width'])
head = options.pop('head')
if head == 0: style = '<|-'
elif head == 1: style = '-|>'
elif head == 2: style = '<|-|>'
else: raise KeyError('head parameter must be one of 0 (start), 1 (end) or 2 (both).')
arrowsize = float(options.get('arrowsize',5))
head_width=arrowsize
head_length=arrowsize*2.0
color = to_mpl_color(options['rgbcolor'])
from matplotlib.patches import FancyArrowPatch
from matplotlib.path import Path
bpath = Path(self.vertices, self.codes)
p = FancyArrowPatch(path=bpath,
lw=width, arrowstyle='%s,head_width=%s,head_length=%s'%(style,head_width, head_length),
fc=color, ec=color, linestyle=options['linestyle'])
p.set_zorder(options['zorder'])
p.set_label(options['legend_label'])
subplot.add_patch(p)
return p
def _render_on_subplot(self, subplot):
"""
Render this arrow in a subplot. This is the key function that
defines how this arrow graphics primitive is rendered in
matplotlib's library.
EXAMPLES:
This function implicitly ends up rendering this arrow on
a matplotlib subplot::
sage: arrow((0,1), (2,-1))
TESTS:
The length of the ends (shrinkA and shrinkB) should not depend
on the width of the arrow, because Matplotlib already takes
this into account. See :trac:`12836`::
sage: fig = Graphics().matplotlib()
sage: sp = fig.add_subplot(1,1,1)
sage: a = arrow((0,0), (1,1))
sage: b = arrow((0,0), (1,1), width=20)
sage: p1 = a[0]._render_on_subplot(sp)
sage: p2 = b[0]._render_on_subplot(sp)
sage: p1.shrinkA == p2.shrinkA
True
sage: p1.shrinkB == p2.shrinkB
True
"""
options = self.options()
head = options.pop('head')
if head == 0: style = '<|-'
elif head == 1: style = '-|>'
elif head == 2: style = '<|-|>'
else:
raise KeyError(
'head parameter must be one of 0 (start), 1 (end) or 2 (both).'
)
width = float(options['width'])
arrowshorten_end = float(options.get('arrowshorten', 0)) / 2.0
arrowsize = float(options.get('arrowsize', 5))
head_width = arrowsize
head_length = arrowsize * 2.0
color = to_mpl_color(options['rgbcolor'])
from matplotlib.patches import FancyArrowPatch
p = FancyArrowPatch((self.xtail, self.ytail), (self.xhead, self.yhead),
lw=width,
arrowstyle='%s,head_width=%s,head_length=%s' %
(style, head_width, head_length),
shrinkA=arrowshorten_end,
shrinkB=arrowshorten_end,
fc=color,
ec=color,
linestyle=options['linestyle'])
p.set_zorder(options['zorder'])
p.set_label(options['legend_label'])
subplot.add_patch(p)
return p
def _render_on_subplot(self, subplot):
"""
Render this arrow in a subplot. This is the key function that
defines how this arrow graphics primitive is rendered in
matplotlib's library.
EXAMPLES:
This function implicitly ends up rendering this arrow on
a matplotlib subplot::
sage: arrow((0,1), (2,-1))
TESTS:
The length of the ends (shrinkA and shrinkB) should not depend
on the width of the arrow, because Matplotlib already takes
this into account. See :trac:`12836`::
sage: fig = Graphics().matplotlib()
sage: sp = fig.add_subplot(1,1,1)
sage: a = arrow((0,0), (1,1))
sage: b = arrow((0,0), (1,1), width=20)
sage: p1 = a[0]._render_on_subplot(sp)
sage: p2 = b[0]._render_on_subplot(sp)
sage: p1.shrinkA == p2.shrinkA
True
sage: p1.shrinkB == p2.shrinkB
True
"""
options = self.options()
head = options.pop('head')
if head == 0: style = '<|-'
elif head == 1: style = '-|>'
elif head == 2: style = '<|-|>'
else: raise KeyError('head parameter must be one of 0 (start), 1 (end) or 2 (both).')
width = float(options['width'])
arrowshorten_end = float(options.get('arrowshorten',0))/2.0
arrowsize = float(options.get('arrowsize',5))
head_width=arrowsize
head_length=arrowsize*2.0
color = to_mpl_color(options['rgbcolor'])
from matplotlib.patches import FancyArrowPatch
p = FancyArrowPatch((self.xtail, self.ytail), (self.xhead, self.yhead),
lw=width, arrowstyle='%s,head_width=%s,head_length=%s'%(style,head_width, head_length),
shrinkA=arrowshorten_end, shrinkB=arrowshorten_end,
fc=color, ec=color, linestyle=options['linestyle'])
p.set_zorder(options['zorder'])
p.set_label(options['legend_label'])
subplot.add_patch(p)
return p
def _render_on_subplot(self, subplot):
"""
Render this arrow in a subplot.
This is the key function that defines how this arrow graphics
primitive is rendered in matplotlib's library.
EXAMPLES:
This function implicitly ends up rendering this arrow on a matplotlib
subplot::
sage: arrow(path=[[(0,1), (2,-1), (4,5)]])
Graphics object consisting of 1 graphics primitive
"""
from sage.plot.misc import get_matplotlib_linestyle
options = self.options()
width = float(options['width'])
head = options.pop('head')
if head == 0:
style = '<|-'
elif head == 1:
style = '-|>'
elif head == 2:
style = '<|-|>'
else:
raise KeyError(
'head parameter must be one of 0 (start), 1 (end) or 2 (both).'
)
arrowsize = float(options.get('arrowsize', 5))
head_width = arrowsize
head_length = arrowsize * 2.0
color = to_mpl_color(options['rgbcolor'])
from matplotlib.patches import FancyArrowPatch
from matplotlib.path import Path
bpath = Path(self.vertices, self.codes)
p = FancyArrowPatch(path=bpath,
lw=width,
arrowstyle='%s,head_width=%s,head_length=%s' %
(style, head_width, head_length),
fc=color,
ec=color,
linestyle=get_matplotlib_linestyle(
options['linestyle'], return_type='long'))
p.set_zorder(options['zorder'])
p.set_label(options['legend_label'])
subplot.add_patch(p)
return p
def _render_on_subplot(self, subplot):
"""
Render this arrow in a subplot. This is the key function that
defines how this arrow graphics primitive is rendered in
matplotlib's library.
EXAMPLES::
This function implicitly ends up rendering this arrow on a matplotlib subplot:
sage: arrow(path=[[(0,1), (2,-1), (4,5)]])
Graphics object consisting of 1 graphics primitive
"""
from sage.plot.misc import get_matplotlib_linestyle
options = self.options()
width = float(options["width"])
head = options.pop("head")
if head == 0:
style = "<|-"
elif head == 1:
style = "-|>"
elif head == 2:
style = "<|-|>"
else:
raise KeyError("head parameter must be one of 0 (start), 1 (end) or 2 (both).")
arrowsize = float(options.get("arrowsize", 5))
head_width = arrowsize
head_length = arrowsize * 2.0
color = to_mpl_color(options["rgbcolor"])
from matplotlib.patches import FancyArrowPatch
from matplotlib.path import Path
bpath = Path(self.vertices, self.codes)
p = FancyArrowPatch(
path=bpath,
lw=width,
arrowstyle="%s,head_width=%s,head_length=%s" % (style, head_width, head_length),
fc=color,
ec=color,
)
p.set_linestyle(get_matplotlib_linestyle(options["linestyle"], return_type="long"))
p.set_zorder(options["zorder"])
p.set_label(options["legend_label"])
subplot.add_patch(p)
return p
def draw_MultipleLine(L, pos, ax, sg=None):
for n in L:
c = Circle(pos[n], radius=0.05, alpha=0.7)
ax.add_patch(c)
L.node[n]['patch'] = c
x, y = pos[n]
seen = {}
for (u, v, d) in L.edges(data=True):
n1 = L.node[u]['patch']
n2 = L.node[v]['patch']
rad = 0.1
if (u, v) in seen:
rad = seen.get((u, v))
rad = (rad + np.sign(rad) * 0.1) * -1
alpha = 0.5
style = d['sty']
if style == 1:
color = 'r'
elif style == 2:
color = 'b'
elif style == 3:
color = 'k'
elif style == 4:
color = 'y'
elif style == 5:
color = 'g'
width = d['width']
line = width
e = FancyArrowPatch(n1.center,
n2.center,
patchA=n1,
patchB=n2,
arrowstyle='-|>',
connectionstyle='arc3,rad=%s' % rad,
mutation_scale=10.0,
lw=2,
alpha=alpha,
color=color)
e.set_linewidth(line)
e.set_label(line)
seen[(u, v)] = rad
ax.add_patch(e)
return e
def _render_on_subplot(self, subplot):
"""
Render this arrow in a subplot. This is the key function that
defines how this arrow graphics primitive is rendered in
matplotlib's library.
EXAMPLES:
This function implicitly ends up rendering this arrow on
a matplotlib subplot::
sage: arrow((0,1), (2,-1))
"""
options = self.options()
head = options.pop('head')
if head == 0: style = '<|-'
elif head == 1: style = '-|>'
elif head == 2: style = '<|-|>'
else:
raise KeyError(
'head parameter must be one of 0 (start), 1 (end) or 2 (both).'
)
width = float(options['width'])
arrowshorten_end = float(options.get('arrowshorten',
0)) / 2.0 + width * 2
arrowsize = float(options.get('arrowsize', 5))
head_width = arrowsize
head_length = arrowsize * 2.0
color = to_mpl_color(options['rgbcolor'])
from matplotlib.patches import FancyArrowPatch
p = FancyArrowPatch((self.xtail, self.ytail), (self.xhead, self.yhead),
lw=width,
arrowstyle='%s,head_width=%s,head_length=%s' %
(style, head_width, head_length),
shrinkA=arrowshorten_end,
shrinkB=arrowshorten_end,
fc=color,
ec=color,
linestyle=options['linestyle'])
p.set_zorder(options['zorder'])
p.set_label(options['legend_label'])
subplot.add_patch(p)
return p
def _render_on_subplot(self, subplot):
r"""
Render this arrow in a subplot.
This version of the method uses a narrower arrow head,
which is not customizable by parameters in the Sage class.
"""
from sage.plot.misc import get_matplotlib_linestyle
options = self.options()
head = options.pop('head')
if head == 0: style = '<|-'
elif head == 1: style = '-|>'
elif head == 2: style = '<|-|>'
else: raise KeyError('head parameter must be one of 0 (start), 1 (end) or 2 (both).')
style='fancy'
width = float(options['width'])
arrowshorten_end = float(options.get('arrowshorten', 0)) / 2.0
arrowsize = float(options.get('arrowsize', 5))
#head_width = arrowsize * 0.5
head_width = arrowsize * 0.7
tail_width = arrowsize * 0.7
head_length = arrowsize * 2.0
color = to_mpl_color(options['rgbcolor'])
from matplotlib.patches import FancyArrowPatch
p = FancyArrowPatch((self.xtail, self.ytail), (self.xhead, self.yhead),
lw=width,
arrowstyle='%s,head_width=%s,head_length=%s,tail_width=%s' % (style, head_width, head_length, tail_width),
shrinkA=arrowshorten_end, shrinkB=arrowshorten_end,
fc=color, ec=color,
linestyle=get_matplotlib_linestyle(options['linestyle'], return_type='long'))
p.set_zorder(options['zorder'])
p.set_label(options['legend_label'])
subplot.add_patch(p)
return p
def _render_on_subplot(self, subplot):
r"""
Render this arrow in a subplot. This is the key function that
defines how this arrow graphics primitive is rendered in
matplotlib's library.
EXAMPLES:
This function implicitly ends up rendering this arrow on
a matplotlib subplot::
sage: arrow((0,1), (2,-1))
Graphics object consisting of 1 graphics primitive
TESTS:
The length of the ends (shrinkA and shrinkB) should not depend
on the width of the arrow, because Matplotlib already takes
this into account. See :trac:`12836`::
sage: fig = Graphics().matplotlib()
sage: sp = fig.add_subplot(1,1,1, label='axis1')
sage: a = arrow((0,0), (1,1))
sage: b = arrow((0,0), (1,1), width=20)
sage: p1 = a[0]._render_on_subplot(sp)
sage: p2 = b[0]._render_on_subplot(sp)
sage: p1.shrinkA == p2.shrinkA
True
sage: p1.shrinkB == p2.shrinkB
True
Dashed arrows should have solid arrowheads, :trac:`12852`. We tried to
make up a test for this, which turned out to be fragile and hence was
removed. In general, robust testing of graphics seems basically need a
human eye or AI.
"""
from sage.plot.misc import get_matplotlib_linestyle
options = self.options()
head = options.pop('head')
if head == 0: style = '<|-'
elif head == 1: style = '-|>'
elif head == 2: style = '<|-|>'
else:
raise KeyError(
'head parameter must be one of 0 (start), 1 (end) or 2 (both).'
)
width = float(options['width'])
arrowshorten_end = float(options.get('arrowshorten', 0)) / 2.0
arrowsize = float(options.get('arrowsize', 5))
head_width = arrowsize
head_length = arrowsize * 2.0
color = to_mpl_color(options['rgbcolor'])
from matplotlib.patches import FancyArrowPatch
p = FancyArrowPatch(
(self.xtail, self.ytail), (self.xhead, self.yhead),
lw=width,
arrowstyle='%s,head_width=%s,head_length=%s' %
(style, head_width, head_length),
shrinkA=arrowshorten_end,
shrinkB=arrowshorten_end,
fc=color,
ec=color,
linestyle=get_matplotlib_linestyle(options['linestyle'],
return_type='long'))
p.set_zorder(options['zorder'])
p.set_label(options['legend_label'])
if options['linestyle'] != 'solid':
# The next few lines work around a design issue in matplotlib.
# Currently, the specified linestyle is used to draw both the path
# and the arrowhead. If linestyle is 'dashed', this looks really
# odd. This code is from Jae-Joon Lee in response to a post to the
# matplotlib mailing list.
# See http://sourceforge.net/mailarchive/forum.php?thread_name=CAG%3DuJ%2Bnw2dE05P9TOXTz_zp-mGP3cY801vMH7yt6vgP9_WzU8w%40mail.gmail.com&forum_name=matplotlib-users
import matplotlib.patheffects as pe
class CheckNthSubPath(object):
def __init__(self, patch, n):
"""
creates an callable object that returns True if the
provided path is the n-th path from the patch.
"""
self._patch = patch
self._n = n
def get_paths(self, renderer):
self._patch.set_dpi_cor(renderer.points_to_pixels(1.))
paths, fillables = self._patch.get_path_in_displaycoord()
return paths
def __call__(self, renderer, gc, tpath, affine, rgbFace):
path = self.get_paths(renderer)[self._n]
vert1, code1 = path.vertices, path.codes
import numpy as np
return np.array_equal(vert1,
tpath.vertices) and np.array_equal(
code1, tpath.codes)
class ConditionalStroke(pe.RendererBase):
def __init__(self, condition_func, pe_list):
"""
path effect that is only applied when the condition_func
returns True.
"""
super(ConditionalStroke, self).__init__()
self._pe_list = pe_list
self._condition_func = condition_func
def draw_path(self, renderer, gc, tpath, affine, rgbFace):
if self._condition_func(renderer, gc, tpath, affine,
rgbFace):
for pe1 in self._pe_list:
pe1.draw_path(renderer, gc, tpath, affine, rgbFace)
pe1 = ConditionalStroke(CheckNthSubPath(p, 0), [pe.Stroke()])
pe2 = ConditionalStroke(
CheckNthSubPath(p, 1),
[pe.Stroke(dashes={
'dash_offset': 0,
'dash_list': None
})])
p.set_path_effects([pe1, pe2])
subplot.add_patch(p)
return p
def _render_on_subplot(self, subplot):
r"""
Render this arrow in a subplot. This is the key function that
defines how this arrow graphics primitive is rendered in
matplotlib's library.
EXAMPLES:
This function implicitly ends up rendering this arrow on
a matplotlib subplot::
sage: arrow((0,1), (2,-1))
TESTS:
The length of the ends (shrinkA and shrinkB) should not depend
on the width of the arrow, because Matplotlib already takes
this into account. See :trac:`12836`::
sage: fig = Graphics().matplotlib()
sage: sp = fig.add_subplot(1,1,1)
sage: a = arrow((0,0), (1,1))
sage: b = arrow((0,0), (1,1), width=20)
sage: p1 = a[0]._render_on_subplot(sp)
sage: p2 = b[0]._render_on_subplot(sp)
sage: p1.shrinkA == p2.shrinkA
True
sage: p1.shrinkB == p2.shrinkB
True
Dashed arrows should have solid arrowheads,
:trac:`12852`. This test saves the plot of a dashed arrow to
an EPS file. Within the EPS file, ``stroke`` will be called
twice: once to draw the line, and again to draw the
arrowhead. We check that both calls do not occur while the
dashed line style is enabled::
sage: a = arrow((0,0), (1,1), linestyle='dashed')
sage: filename = tmp_filename(ext='.eps')
sage: a.save(filename=filename)
sage: with open(filename, 'r') as f:
....: contents = f.read().replace('\n', ' ')
sage: two_stroke_pattern = r'setdash.*stroke.*stroke.*setdash'
sage: import re
sage: two_stroke_re = re.compile(two_stroke_pattern)
sage: two_stroke_re.search(contents) is None
True
"""
options = self.options()
head = options.pop('head')
if head == 0: style = '<|-'
elif head == 1: style = '-|>'
elif head == 2: style = '<|-|>'
else: raise KeyError('head parameter must be one of 0 (start), 1 (end) or 2 (both).')
width = float(options['width'])
arrowshorten_end = float(options.get('arrowshorten',0))/2.0
arrowsize = float(options.get('arrowsize',5))
head_width=arrowsize
head_length=arrowsize*2.0
color = to_mpl_color(options['rgbcolor'])
from matplotlib.patches import FancyArrowPatch
p = FancyArrowPatch((self.xtail, self.ytail), (self.xhead, self.yhead),
lw=width, arrowstyle='%s,head_width=%s,head_length=%s'%(style,head_width, head_length),
shrinkA=arrowshorten_end, shrinkB=arrowshorten_end,
fc=color, ec=color, linestyle=options['linestyle'])
p.set_zorder(options['zorder'])
p.set_label(options['legend_label'])
if options['linestyle']!='solid':
# The next few lines work around a design issue in matplotlib. Currently, the specified
# linestyle is used to draw both the path and the arrowhead. If linestyle is 'dashed', this
# looks really odd. This code is from Jae-Joon Lee in response to a post to the matplotlib mailing
# list. See http://sourceforge.net/mailarchive/forum.php?thread_name=CAG%3DuJ%2Bnw2dE05P9TOXTz_zp-mGP3cY801vMH7yt6vgP9_WzU8w%40mail.gmail.com&forum_name=matplotlib-users
import matplotlib.patheffects as pe
class CheckNthSubPath(object):
def __init__(self, patch, n):
"""
creates an callable object that returns True if the provided
path is the n-th path from the patch.
"""
self._patch = patch
self._n = n
def get_paths(self, renderer):
self._patch.set_dpi_cor(renderer.points_to_pixels(1.))
paths, fillables = self._patch.get_path_in_displaycoord()
return paths
def __call__(self, renderer, gc, tpath, affine, rgbFace):
path = self.get_paths(renderer)[self._n]
vert1, code1 = path.vertices, path.codes
import numpy as np
if np.all(vert1 == tpath.vertices) and np.all(code1 == tpath.codes):
return True
else:
return False
class ConditionalStroke(pe._Base):
def __init__(self, condition_func, pe_list):
"""
path effect that is only applied when the condition_func
returns True.
"""
super(ConditionalStroke, self).__init__()
self._pe_list = pe_list
self._condition_func = condition_func
def draw_path(self, renderer, gc, tpath, affine, rgbFace):
if self._condition_func(renderer, gc, tpath, affine, rgbFace):
for pe1 in self._pe_list:
pe1.draw_path(renderer, gc, tpath, affine, rgbFace)
pe1 = ConditionalStroke(CheckNthSubPath(p, 0),[pe.Stroke()])
pe2 = ConditionalStroke(CheckNthSubPath(p, 1),[pe.Stroke(linestyle="solid")])
p.set_path_effects([pe1, pe2])
subplot.add_patch(p)
return p
def _render_on_subplot(self, subplot):
r"""
Render this arrow in a subplot. This is the key function that
defines how this arrow graphics primitive is rendered in
matplotlib's library.
EXAMPLES:
This function implicitly ends up rendering this arrow on
a matplotlib subplot::
sage: arrow((0,1), (2,-1))
Graphics object consisting of 1 graphics primitive
TESTS:
The length of the ends (shrinkA and shrinkB) should not depend
on the width of the arrow, because Matplotlib already takes
this into account. See :trac:`12836`::
sage: fig = Graphics().matplotlib()
sage: sp = fig.add_subplot(1,1,1)
sage: a = arrow((0,0), (1,1))
sage: b = arrow((0,0), (1,1), width=20)
sage: p1 = a[0]._render_on_subplot(sp)
sage: p2 = b[0]._render_on_subplot(sp)
sage: p1.shrinkA == p2.shrinkA
True
sage: p1.shrinkB == p2.shrinkB
True
Dashed arrows should have solid arrowheads,
:trac:`12852`. This test saves the plot of a dashed arrow to
an EPS file. Within the EPS file, ``stroke`` will be called
twice: once to draw the line, and again to draw the
arrowhead. We check that both calls do not occur while the
dashed line style is enabled::
sage: a = arrow((0,0), (1,1), linestyle='dashed')
sage: filename = tmp_filename(ext='.eps')
sage: a.save(filename=filename)
sage: with open(filename, 'r') as f:
....: contents = f.read().replace('\n', ' ')
sage: two_stroke_pattern = r'setdash.*stroke.*stroke.*setdash'
sage: import re
sage: two_stroke_re = re.compile(two_stroke_pattern)
sage: two_stroke_re.search(contents) is None
True
"""
from sage.plot.misc import get_matplotlib_linestyle
options = self.options()
head = options.pop('head')
if head == 0: style = '<|-'
elif head == 1: style = '-|>'
elif head == 2: style = '<|-|>'
else:
raise KeyError(
'head parameter must be one of 0 (start), 1 (end) or 2 (both).'
)
width = float(options['width'])
arrowshorten_end = float(options.get('arrowshorten', 0)) / 2.0
arrowsize = float(options.get('arrowsize', 5))
head_width = arrowsize
head_length = arrowsize * 2.0
color = to_mpl_color(options['rgbcolor'])
from matplotlib.patches import FancyArrowPatch
p = FancyArrowPatch((self.xtail, self.ytail), (self.xhead, self.yhead),
lw=width,
arrowstyle='%s,head_width=%s,head_length=%s' %
(style, head_width, head_length),
shrinkA=arrowshorten_end,
shrinkB=arrowshorten_end,
fc=color,
ec=color)
p.set_linestyle(
get_matplotlib_linestyle(options['linestyle'], return_type='long'))
p.set_zorder(options['zorder'])
p.set_label(options['legend_label'])
if options['linestyle'] != 'solid':
# The next few lines work around a design issue in matplotlib. Currently, the specified
# linestyle is used to draw both the path and the arrowhead. If linestyle is 'dashed', this
# looks really odd. This code is from Jae-Joon Lee in response to a post to the matplotlib mailing
# list. See http://sourceforge.net/mailarchive/forum.php?thread_name=CAG%3DuJ%2Bnw2dE05P9TOXTz_zp-mGP3cY801vMH7yt6vgP9_WzU8w%40mail.gmail.com&forum_name=matplotlib-users
import matplotlib.patheffects as pe
class CheckNthSubPath(object):
def __init__(self, patch, n):
"""
creates an callable object that returns True if the provided
path is the n-th path from the patch.
"""
self._patch = patch
self._n = n
def get_paths(self, renderer):
self._patch.set_dpi_cor(renderer.points_to_pixels(1.))
paths, fillables = self._patch.get_path_in_displaycoord()
return paths
def __call__(self, renderer, gc, tpath, affine, rgbFace):
path = self.get_paths(renderer)[self._n]
vert1, code1 = path.vertices, path.codes
import numpy as np
return np.array_equal(vert1,
tpath.vertices) and np.array_equal(
code1, tpath.codes)
class ConditionalStroke(pe.RendererBase):
def __init__(self, condition_func, pe_list):
"""
path effect that is only applied when the condition_func
returns True.
"""
super(ConditionalStroke, self).__init__()
self._pe_list = pe_list
self._condition_func = condition_func
def draw_path(self, renderer, gc, tpath, affine, rgbFace):
if self._condition_func(renderer, gc, tpath, affine,
rgbFace):
for pe1 in self._pe_list:
pe1.draw_path(renderer, gc, tpath, affine, rgbFace)
pe1 = ConditionalStroke(CheckNthSubPath(p, 0), [pe.Stroke()])
pe2 = ConditionalStroke(CheckNthSubPath(p, 1),
[pe.Stroke(linestyle="solid")])
p.set_path_effects([pe1, pe2])
subplot.add_patch(p)
return p
