def on_click_inside(self, event, ax):
import wbia.plottool as pt
viztype = ph.get_plotdat(ax, 'viztype', None)
logger.info('[ik] viztype=%r' % viztype)
if viztype is None:
pass
elif viztype == 'keypoints':
kpts = ph.get_plotdat(ax, 'kpts', [])
if len(kpts) == 0:
logger.info('...nokpts')
else:
logger.info('...nearest')
x, y = event.xdata, event.ydata
import vtool as vt
fx = vt.nearest_point(x, y, kpts)[0]
self._select_ith_kpt(fx)
elif viztype == 'warped':
hs_fx = ph.get_plotdat(ax, 'fx', None)
if hs_fx is not None:
kp = self.kpts[hs_fx] # FIXME
sift = self.vecs[hs_fx]
df2.draw_keypoint_gradient_orientations(self.chip,
kp,
sift=sift,
mode='vec',
fnum=pt.next_fnum())
pt.draw()
elif viztype.startswith('colorbar'):
pass
else:
logger.info('...unhandled')
self.draw()
def on_click_inside(self, event, ax):
ax = event.inaxes
viztype = ph.get_plotdat(ax, 'viztype', '')
# if verbose:
# logger.info(str(event.__dict__))
logger.info('viztype=%r' % viztype)
# Clicked a specific matches
logger.info('plodat_dict = ' + ut.repr2(ph.get_plotdat_dict(ax)))
if viztype.startswith('chip'):
from wbia.viz.interact import interact_chip
options = interact_chip.build_annot_context_options(
self.ibs,
self.cm.qaid,
refresh_func=self._analysis_view,
with_interact_chip=False,
)
self.show_popup_menu(options, event)
if viztype.startswith(
'matches') or viztype == 'multi_match': # why startswith?
aid2 = ph.get_plotdat(ax, 'aid2', None)
aid_list = ph.get_plotdat(ax, 'aid_list', None)
if event.button == 3: # right-click
# TODO; this functionality should be in viz.interact
from wbia.gui import inspect_gui
logger.info('right click')
logger.info('qreq_ = %r' % (self.qreq_, ))
options = inspect_gui.get_aidpair_context_menu_options(
self.ibs,
self.cm.qaid,
aid2,
self.cm,
qreq_=self.qreq_,
update_callback=self.show_page,
backend_callback=None,
aid_list=aid_list,
)
self.show_popup_menu(options, event)
else:
# Ctrl-Click
key = '' if event.key is None else event.key
logger.info('key = %r' % key)
if key.find('control') == 0:
logger.info('[viz] result control clicked')
self.show_sver_process_to_aid(aid2)
# Left-Click
else:
logger.info('[viz] result clicked')
self.show_matches_to_aid(aid2)
self.draw()
def _on_keypoints_click(event):
logger.info('[viz] clicked keypoint view')
if event is None or event.xdata is None or event.inaxes is None:
annote_ptr[0] = (annote_ptr[0] + 1) % 3
mode = annote_ptr[0]
ell = mode == 1
pts = mode == 2
logger.info('... default kpts view mode=%r' % mode)
_viz_keypoints(fnum, ell=ell, pts=pts,
**kwargs) # MAYBE: remove kwargs
else:
ax = event.inaxes
viztype = ph.get_plotdat(ax, 'viztype', None)
logger.info('[ik] viztype=%r' % viztype)
if viztype == 'keypoints':
kpts = ph.get_plotdat(ax, 'kpts', [])
if len(kpts) == 0:
logger.info('...nokpts')
else:
logger.info('...nearest')
x, y = event.xdata, event.ydata
import vtool as vt
fx = vt.nearest_point(x, y, kpts)[0]
_select_ith_kpt(fx)
elif viztype == 'warped':
hs_fx = ph.get_plotdat(ax, 'fx', None)
# kpts = ph.get_plotdat(ax, 'kpts', [])
if hs_fx is not None:
# Ugly. Interactions should be changed to classes.
kp = self.kpts[hs_fx] # FIXME
sift = self.vecs[hs_fx]
df2.draw_keypoint_gradient_orientations(
chip, kp, sift=sift, mode='vec', fnum=df2.next_fnum())
elif viztype.startswith('colorbar'):
pass
# Hack to get a specific scoring feature
# sortx = self.fs.argsort()
# idx = np.clip(int(np.round(y * len(sortx))), 0, len(sortx) - 1)
# mx = sortx[idx]
# (fx1, fx2) = self.fm[mx]
# (fx1, fx2) = self.fm[mx]
# logger.info('... selected score at rank idx=%r' % (idx,))
# logger.info('... selected score with fs=%r' % (self.fs[mx],))
# logger.info('... resolved to mx=%r' % mx)
# logger.info('... fx1, fx2 = %r, %r' % (fx1, fx2,))
# self.select_ith_match(mx)
else:
logger.info('...unhandled')
ph.draw()
def on_click_inside(self, event, ax):
from wbia.plottool import plot_helpers as ph
(x, y) = (event.xdata, event.ydata)
viztype = ph.get_plotdat(ax, 'viztype', '')
if event.button == 3:
self.show_popup_menu(self.get_popup_options(), event)
return
# key = '' if event.key is None else event.key
# ctrl_down = key.find('control') == 0
if viztype in ['matches', 'multi_match']:
if len(self.fm) == 0:
print('[inter] no feature matches to click')
else:
# Normal Click
# Select nearest feature match to the click
kpts1_m = self.kpts1[self.fm[:, 0]]
kpts2_m = self.kpts2[self.fm[:, 1]]
x2, y2, w2, h2 = self.xywh2
import vtool as vt
_mx1, _dist1 = vt.nearest_point(x, y, kpts1_m)
_mx2, _dist2 = vt.nearest_point(x - x2, y - y2, kpts2_m)
mx = _mx1 if _dist1 < _dist2 else _mx2
print('... clicked mx=%r' % mx)
self.select_ith_match(mx)
# elif viztype in ['warped', 'unwarped']:
# pass
# #hs_aid = ax.__dict__.get('_hs_aid', None)
# #hs_fx = ax.__dict__.get('_hs_fx', None)
# #if hs_aid is not None and viztype == 'unwarped':
# # ishow_chip(ibs, hs_aid, fx=hs_fx, fnum=pt.next_fnum())
# #elif hs_aid is not None and viztype == 'warped':
# # viz.show_keypoint_gradient_orientations(ibs, hs_aid,
# # hs_fx, fnum=pt.next_fnum())
# Click in match axes
# elif viztype == 'matches' and ctrl_down:
# # Ctrl-Click
# print('.. control click')
# return self.sv_view()
elif viztype.startswith('colorbar'):
# Hack to get a specific scoring feature
sortx = self.fs.argsort()
idx = np.clip(int(np.round(y * len(sortx))), 0, len(sortx) - 1)
mx = sortx[idx]
(fx1, fx2) = self.fm[mx]
(fx1, fx2) = self.fm[mx]
print('... selected score at rank idx=%r' % (idx, ))
print('... selected score with fs=%r' % (self.fs[mx], ))
print('... resolved to mx=%r' % mx)
print('... fx1, fx2 = %r, %r' % (
fx1,
fx2,
))
self.select_ith_match(mx)
else:
print('...Unknown viztype: %r' % viztype)
self.draw()
def on_click_inside(self, event, ax):
index = ph.get_plotdat(ax, 'index')
print('index = %r' % (index,))
if index is not None:
if self.MOUSE_BUTTONS[event.button] == 'right':
if self.context_option_funcs is not None:
# if event.button == 3:
options = self.context_option_funcs[index]()
self.show_popup_menu(options, event)
elif self.MOUSE_BUTTONS[event.button] == 'left':
# bbox_list = ph.get_plotdat(ax, 'bbox_list')
gpath = self.gpath_list[index]
if ut.is_funclike(gpath):
print('gpath_isfunklike')
print('gpath = %r' % (gpath,))
import wbia.plottool as pt
fnum = pt.next_fnum()
gpath(fnum=fnum)
df2.update()
else:
bbox_list = self.bboxes_list[index]
print('Bbox of figure: %r' % (bbox_list,))
theta_list = self.thetas_list[index]
print('theta_list = %r' % (theta_list,))
# img = mpimg.imread(gpath)
if isinstance(gpath, six.string_types):
img = vt.imread(gpath)
else:
img = gpath
fnum = df2.next_fnum()
mc = interact_annotations.AnnotationInteraction(
img,
index,
self.update_images,
bbox_list=bbox_list,
theta_list=theta_list,
fnum=fnum,
)
mc.start()
self.mc = mc
# """wait for accept
# have a flag to tell if a bbox has been changed, on the bbox
# list that is brought it" on accept: viz_image2.show_image
# callback
# """
df2.update()
print('Clicked: ax: num=%r' % index)
def clear_parent_axes(self, ax):
""" for clearing axes that we appended anything to """
child_axes = ph.get_plotdat(ax, 'child_axes', [])
ph.set_plotdat(ax, 'child_axes', [])
for subax in child_axes:
to_remove = None
for tup in self.scope:
if tup[1] is subax:
to_remove = tup
break
if to_remove is not None:
self.scope.remove(to_remove)
subax.cla()
self.fig.delaxes(subax)
ph.del_plotdat(ax, df2.DF2_DIVIDER_KEY)
ax.cla()
def get_popup_options(self):
from wbia.gui import inspect_gui
options = []
ax = pt.gca() # HACK
from wbia.plottool import plot_helpers as ph
viztype = ph.get_plotdat(ax, 'viztype', '')
is_match_type = viztype in ['matches', 'multi_match']
if is_match_type:
options += inspect_gui.get_aidpair_context_menu_options(
self.ibs,
self.qaid,
self.daid,
self.cm,
qreq_=self.qreq_,
# update_callback=self.show_page,
# backend_callback=None, aid_list=aid_list)
)
options += [
# ('Toggle same_fig', self.toggle_samefig),
# ('Toggle vert', self.toggle_vert),
('query last feature', self.query_last_feature),
('show each chip', self.show_each_chip),
('show each distinctiveness chip', self.show_each_dstncvs_chip),
('show each foreground weight chip', self.show_each_fgweight_chip),
('show each probchip', self.show_each_probchip),
('show coverage', self.show_coverage),
# ('show each probchip', self.query_last_feature),
]
# options.append(('name_interaction', self.name_interaction))
# if self.H1 is not None:
# options.append(('Toggle homog', self.toggle_homog))
if ut.is_developer():
options.append(('dev_reload', self.dev_reload))
options.append(('dev_embed', self.dev_embed))
# options.append(('cancel', lambda: print('cancel')))
options += super(MatchInteraction, self).get_popup_options()
return options
def on_click_inside(self, event, ax):
from wbia.plottool import plot_helpers as ph
ibs = self.ibs
viztype = ph.get_plotdat(ax, 'viztype', '')
is_match_type = viztype in ['matches', 'multi_match']
key = '' if event.key is None else event.key
logger.info('key=%r ' % key)
ctrl_down = key.find('control') == 0
# Click in match axes
if event.button == 3:
return super(MatchInteraction, self).on_click_inside(event, ax)
if is_match_type and ctrl_down:
# Ctrl-Click
logger.info('.. control click')
return self.sv_view()
elif viztype in ['warped', 'unwarped']:
logger.info('clicked at patch')
ut.print_dict(ph.get_plotdat_dict(ax))
hs_aid = {
'aid1': self.qaid,
'aid2': self.daid
}[vh.get_ibsdat(ax, 'aid', None)]
hs_fx = vh.get_ibsdat(ax, 'fx', None)
logger.info('hs_fx = %r' % (hs_fx, ))
logger.info('hs_aid = %r' % (hs_aid, ))
if hs_aid is not None and viztype == 'unwarped':
ishow_chip(ibs, hs_aid, fx=hs_fx, fnum=pt.next_fnum())
elif hs_aid is not None and viztype == 'warped':
viz.show_keypoint_gradient_orientations(ibs,
hs_aid,
hs_fx,
fnum=pt.next_fnum())
else:
return super(MatchInteraction, self).on_click_inside(event, ax)
self.draw()
def show_multiple_chips(ibs,
aid_list,
in_image=True,
fnum=0,
sel_aids=[],
subtitle='',
annote=False,
**kwargs):
"""
CommandLine:
python -m wbia.viz.viz_name --test-show_multiple_chips --show --no-inimage
python -m wbia.viz.viz_name --test-show_multiple_chips --show --db NNP_Master3 --aids=6435,9861,137,6563,9167,12547,9332,12598,13285 --no-inimage --notitle
python -m wbia.viz.viz_name --test-show_multiple_chips --show --db NNP_Master3 --aids=137,6563,12547,9332,12598,13285 --no-inimage --notitle --adjust=.05
python -m wbia.viz.viz_name --test-show_multiple_chips --show --db NNP_Master3 --aids=6563,9332,13285,12598 --no-inimage --notitle --adjust=.05 --rc=1,4
python -m wbia.viz.viz_name --test-show_multiple_chips --show --db PZ_Master0 --aids=1288 --no-inimage --notitle --adjust=.05
python -m wbia.viz.viz_name --test-show_multiple_chips --show --db PZ_Master0 --aids=4020,4839 --no-inimage --notitle --adjust=.05
python -m wbia.viz.viz_name --test-show_multiple_chips --db NNP_Master3 --aids=6524,6540,6571,6751 --no-inimage --notitle --adjust=.05 --diskshow
python -m wbia.viz.viz_name --test-show_multiple_chips --db PZ_MTEST -a default:index=0:4 --show
--aids=1 --doboth --show --no-inimage
python -m wbia.viz.viz_name --test-show_multiple_chips --db PZ_MTEST --aids=1 --doboth --show --no-inimage
python -m wbia.viz.viz_name --test-show_multiple_chips --db PZ_MTEST --aids=1 --doboth --rc=2,1 --show --no-inimage
python -m wbia.viz.viz_name --test-show_multiple_chips --db PZ_MTEST --aids=1 --doboth --rc=2,1 --show --notitle --trydrawline --no-draw_lbls
python -m wbia.viz.viz_name --test-show_multiple_chips --db PZ_MTEST --aids=1,2 --doboth --show --notitle --trydrawline
python -m wbia.viz.viz_name --test-show_multiple_chips --db PZ_MTEST --aids=1,2,3,4,5 --doboth --rc=2,5 --show --chrlbl --trydrawline --qualtitle --no-figtitle --notitle
--doboth
--doboth --show
python -m wbia.viz.viz_name --test-show_multiple_chips --db NNP_Master3 --aids=15419 --doboth --rc=2,1 --show --notitle --trydrawline --no-draw_lbls
Example:
>>> # DISABLE_DOCTEST
>>> from wbia.viz.viz_name import * # NOQA
>>> import wbia
>>> ibs, aid_list, in_image = testdata_multichips()
>>> if True:
>>> import matplotlib as mpl
>>> from wbia.scripts.thesis import TMP_RC
>>> mpl.rcParams.update(TMP_RC)
>>> fnum = 0
>>> sel_aids = []
>>> subtitle = ''
>>> annote = False
>>> fig = show_multiple_chips(ibs, aid_list, in_image, fnum, sel_aids, subtitle, annote)
>>> ut.quit_if_noshow()
>>> fig.canvas.draw()
>>> ut.show_if_requested()
"""
fnum = pt.ensure_fnum(fnum)
nAids = len(aid_list)
if nAids == 0:
fig = df2.figure(fnum=fnum, pnum=(1, 1, 1), **kwargs)
df2.imshow_null(fnum=fnum, **kwargs)
return fig
# Trigger computation of all chips in parallel
ibsfuncs.ensure_annotation_data(ibs,
aid_list,
chips=(not in_image or annote),
feats=annote)
logger.info('[viz_name] * annot_vuuid=%r' %
((ibs.get_annot_visual_uuids(aid_list), )))
logger.info('[viz_name] * aid_list=%r' % ((aid_list, )))
DOBOTH = ut.get_argflag('--doboth')
rc = ut.get_argval('--rc', type_=list, default=None)
if rc is None:
nRows, nCols = ph.get_square_row_cols(nAids * (2 if DOBOTH else 1))
else:
nRows, nCols = rc
notitle = ut.get_argflag('--notitle')
draw_lbls = not ut.get_argflag('--no-draw_lbls')
show_chip_kw = dict(annote=annote,
in_image=in_image,
notitle=notitle,
draw_lbls=draw_lbls)
# logger.info('[viz_name] * r=%r, c=%r' % (nRows, nCols))
# gs2 = gridspec.GridSpec(nRows, nCols)
pnum_ = df2.get_pnum_func(nRows, nCols)
fig = df2.figure(fnum=fnum, pnum=pnum_(0), **kwargs)
fig.clf()
ax_list1 = []
for px, aid in enumerate(aid_list):
logger.info('px = %r' % (px, ))
_fig, _ax1 = viz_chip.show_chip(ibs,
aid=aid,
pnum=pnum_(px),
**show_chip_kw)
logger.info('other_aids = %r' % (ibs.get_annot_contact_aids(aid), ))
ax = df2.gca()
ax_list1.append(_ax1)
if aid in sel_aids:
df2.draw_border(ax, df2.GREEN, 4)
if ut.get_argflag('--chrlbl') and not DOBOTH:
ax.set_xlabel('(' + chr(ord('a') - 1 + px) + ')')
elif ut.get_argflag('--numlbl') and not DOBOTH:
ax.set_xlabel('(' + str(px + 1) + ')')
# plot_aid3(ibs, aid)
# HACK to show in image and not in image
if DOBOTH:
# ut.embed()
# ph.get_plotdat_dict(ax_list1[1])
# ph.get_plotdat_dict(ax_list2[1])
ax_list2 = []
show_chip_kw['in_image'] = not show_chip_kw['in_image']
start = px + 1
for px, aid in enumerate(aid_list, start=start):
_fig, _ax2 = viz_chip.show_chip(ibs,
aid=aid,
pnum=pnum_(px),
**show_chip_kw)
ax = df2.gca()
ax_list2.append(_ax2)
if ut.get_argflag('--chrlbl'):
ax.set_xlabel('(' + chr(ord('a') - start + px) + ')')
elif ut.get_argflag('--numlbl'):
ax.set_xlabel('(' + str(px - start + 1) + ')')
if ut.get_argflag('--qualtitle'):
qualtext = ibs.get_annot_quality_texts(aid)
ax.set_title(qualtext)
if aid in sel_aids:
df2.draw_border(ax, df2.GREEN, 4)
if in_image:
ax_list1, ax_list2 = ax_list2, ax_list1
if ut.get_argflag('--trydrawline'):
# Unfinished
# ut.embed()
# Draw lines between corresponding axes
# References:
# http://stackoverflow.com/questions/17543359/drawing-lines-between-two-plots-in-matplotlib
import matplotlib as mpl
import vtool as vt
# !!!
# http://matplotlib.org/users/transforms_tutorial.html
# invTransFigure_fn1 = fig.transFigure.inverted().transform
# invTransFigure_fn2 = fig.transFigure.inverted().transform
# logger.info(ax_list1)
# logger.info(ax_list2)
assert len(ax_list1) == len(ax_list2)
for ax1, ax2 in zip(ax_list1, ax_list2):
# _ = ax1.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
# bbox1 = (0, 0, _.width * fig.dpi, _.height * fig.dpi)
# returns in figure coordinates
# bbox1 = df2.get_axis_bbox(ax=ax1)
# if bbox1[-1] < 0:
# # Weird bug
# bbox1 = bbox1[1]
logger.info('--')
logger.info('ax1 = %r' % (ax1, ))
logger.info('ax2 = %r' % (ax2, ))
chipshape = ph.get_plotdat(ax1, 'chipshape')
# _bbox1 = ax1.get_window_extent().transformed(fig.dpi_scale_trans.inverted())
# bbox1 = (0, 0, _bbox1.width * fig.dpi, _bbox1.height * fig.dpi)
bbox1 = (0, 0, chipshape[1], chipshape[0])
aid_ = ph.get_plotdat(ax2, 'aid')
aid_list_ = ph.get_plotdat(ax2, 'aid_list')
index = aid_list_.index(aid_)
annotation_bbox_list = ph.get_plotdat(ax2,
'annotation_bbox_list')
bbox2 = annotation_bbox_list[index]
logger.info('bbox1 = %r' % (bbox1, ))
logger.info('bbox2 = %r' % (bbox2, ))
vert_list1 = np.array(vt.verts_from_bbox(bbox1))
vert_list2 = np.array(vt.verts_from_bbox(bbox2))
logger.info('vert_list1 = %r' % (vert_list1, ))
logger.info('vert_list2 = %r' % (vert_list2, ))
# for vx in [0, 1, 2, 3]:
for vx in [0, 1]:
vert1 = vert_list1[vx].tolist()
vert2 = vert_list2[vx].tolist()
logger.info(' ***')
logger.info(' * vert1 = %r' % (vert1, ))
logger.info(' * vert2 = %r' % (vert2, ))
coordsA = coordsB = 'data'
# coords = 'axes points'
# 'axes fraction'
# 'axes pixels'
# coordsA = 'axes pixels'
# coordsB = 'data'
# 'figure fraction'
# 'figure pixels'
# 'figure pixels'
# 'figure points'
# 'polar'
# 'offset points'
con = mpl.patches.ConnectionPatch(
xyA=vert1,
xyB=vert2,
coordsA=coordsA,
coordsB=coordsB,
axesA=ax1,
axesB=ax2,
linewidth=1,
color='k',
)
# , arrowstyle="-")
# ut.embed()
# con.set_zorder(None)
ax1.add_artist(con)
# ax2.add_artist(con)
# ut.embed()
# verts2.T[1] -= bbox2[-1]
# bottom_left1, bottom_right1 = verts1[1:3].tolist()
# bottom_left2, bottom_right2 = verts2[1:3].tolist()
# #transAxes1 = ax1.transData.inverted()
# transAxes1_fn = ax1.transData.transform
# transAxes2_fn = ax2.transData.transform
# transAxes1_fn = ut.identity
# transAxes2_fn = ut.identity
# coord_bl1 = transFigure.transform(transAxes1.transform(bottom_left1))
# coord_br1 = transFigure.transform(transAxes1.transform(bottom_right1))
# coord_bl1 = invTransFigure_fn1(transAxes1_fn(bottom_left1))
# logger.info('bottom_left2 = %r' % (bottom_left2,))
# coord_bl1 = (5, 5)
# coord_bl2 = invTransFigure_fn2(transAxes2_fn(bottom_left2))
# logger.info('coord_bl2 = %r' % (coord_bl2,))
# coord_br1 = invTransFigure_fn1(transAxes1_fn(bottom_right1))
# coord_br2 = invTransFigure_fn2(transAxes2_fn(bottom_right2))
# #logger.info('coord_bl1 = %r' % (coord_bl1,))
# line_coords1 = np.vstack([coord_bl1, coord_bl2])
# line_coords2 = np.vstack([coord_br1, coord_br2])
# logger.info('line_coords1 = %r' % (line_coords1,))
# line1 = mpl.lines.Line2D((line_coords1[0]), (line_coords1[1]), transform=fig.transFigure)
# line2 = mpl.lines.Line2D((line_coords2[0]), (line_coords2[1]), transform=fig.transFigure)
# xs1, ys1 = line_coords1.T
# xs2, ys2 = line_coords2.T
# linekw = dict(transform=fig.transFigure)
# linekw = dict()
# logger.info('xs1 = %r' % (xs1,))
# logger.info('ys1 = %r' % (ys1,))
# line1 = mpl.lines.Line2D(xs1, ys1, **linekw)
# line2 = mpl.lines.Line2D(xs2, ys2, **linekw) # NOQA
# shrinkA=5, shrinkB=5, mutation_scale=20, fc="w")
# ax2.add_artist(con)
# fig.lines.append(line1)
# fig.lines.append(line2)
pass
return fig
def append_button(
self,
text,
divider=None,
rect=None,
callback=None,
size='9%',
location='bottom',
ax=None,
**kwargs,
):
""" Adds a button to the current page """
if rect is not None:
new_ax = df2.plt.axes(rect)
if rect is None and divider is None:
if ax is None:
ax = df2.gca()
divider = df2.ensure_divider(ax)
if divider is not None:
new_ax = divider.append_axes(location, size=size, pad=0.05)
if callback is not None:
color, hovercolor = '.85', '.95'
else:
color, hovercolor = '.88', '.88'
# color, hovercolor = u'.45', u'.45'
# if isinstance(text, six.text_type):
new_but = mpl.widgets.Button(new_ax,
text,
color=color,
hovercolor=hovercolor)
# elif isinstance(text, (list, tuple)):
# labels = [False] * len(text)
# labels[0] = True
# new_but = mpl.widgets.CheckButtons(new_ax, text, labels)
# else:
# raise ValueError('bad input')
if callback is not None:
new_but.on_clicked(callback)
else:
button_text = new_but.ax.texts[0]
button_text.set_color('.6')
# button_text.set_color('r')
# ut.embed()
# print('new_but.color = %r' % (new_but.color,))
# else:
# TODO: figure ou how to gray out these buttons
# new_but.color = u'.1'
# new_but.hovercolor = u'.1'
# new_but.active = False
# print('new_but.color = %r' % (new_but.color,))
ph.set_plotdat(new_ax, 'viztype', 'button')
ph.set_plotdat(new_ax, 'text', text)
# ph.set_plotdat(new_ax, 'parent_axes', ax)
if ax is not None:
child_axes = ph.get_plotdat(ax, 'child_axes', [])
child_axes.append(new_ax)
ph.set_plotdat(ax, 'child_axes', child_axes)
for key, val in six.iteritems(kwargs):
ph.set_plotdat(new_ax, key, val)
# Keep buttons from losing scrop
tup = (new_but, new_ax)
self.scope.append(tup)
return tup