def get_graph_bounding_box(graph):
import utool as ut
import networkx as nx
import vtool as vt
#nx.get_node_attrs = nx.get_node_attributes
nodes = list(graph.nodes())
pos_list = ut.take(nx.get_node_attributes(graph, 'pos'), nodes)
shape_list = ut.take(nx.get_node_attributes(graph, 'size'), nodes)
node_extents = np.array([
vt.extent_from_bbox(vt.bbox_from_center_wh(xy, wh))
for xy, wh in zip(pos_list, shape_list)
])
tl_x, br_x, tl_y, br_y = node_extents.T
extent = tl_x.min(), br_x.max(), tl_y.min(), br_y.max()
bbox = vt.bbox_from_extent(extent)
return bbox
def draw_network2(graph, layout_info, ax, as_directed=None, hacknoedge=False,
hacknode=False, verbose=None, **kwargs):
"""
fancy way to draw networkx graphs without directly using networkx
# python -m ibeis.annotmatch_funcs review_tagged_joins --dpath ~/latex/crall-candidacy-2015/ --save figures4/mergecase.png --figsize=15,15 --clipwhite --diskshow
# python -m dtool --tf DependencyCache.make_graph --show
"""
import plottool as pt
patch_dict = {
'patch_frame_dict': {},
'node_patch_dict': {},
'edge_patch_dict': {},
'arrow_patch_list': {},
}
text_pseudo_objects = []
font_prop = pt.parse_fontkw(**kwargs)
#print('font_prop = %r' % (font_prop,))
#print('font_prop.get_name() = %r' % (font_prop.get_name() ,))
# print('layout_info = %r' % (layout_info,))
node_pos = layout_info['node']['pos']
node_size = layout_info['node']['size']
splines = layout_info['graph']['splines']
# edge_startpoints = layout_info['edge']['start_pt']
if as_directed is None:
as_directed = graph.is_directed()
# Draw nodes
for node, nattrs in graph.nodes(data=True):
# shape = nattrs.get('shape', 'circle')
if nattrs is None:
nattrs = {}
label = nattrs.get('label', None)
alpha = nattrs.get('alpha', 1.0)
node_color = nattrs.get('color', pt.NEUTRAL_BLUE)
if node_color is None:
node_color = pt.NEUTRAL_BLUE
xy = node_pos[node]
using_image = kwargs.get('use_image', True) and 'image' in nattrs
if using_image:
if hacknode:
alpha_ = 0.7
else:
alpha_ = 0.0
else:
alpha_ = alpha
node_color = fix_hex_color(node_color)
#intcolor = int(node_color.replace('#', '0x'), 16)
node_color = node_color[0:3]
patch_kw = dict(alpha=alpha_, color=node_color)
node_shape = nattrs.get('shape', 'ellipse')
if node_shape == 'circle':
# divide by 2 seems to work for agraph
radius = min(_get_node_size(graph, node, node_size)) / 2.0
patch = mpl.patches.Circle(xy, radius=radius, **patch_kw)
elif node_shape == 'ellipse':
# divide by 2 seems to work for agraph
width, height = np.array(_get_node_size(graph, node, node_size))
patch = mpl.patches.Ellipse(xy, width, height, **patch_kw)
elif node_shape in ['none', 'box', 'rect', 'rectangle', 'rhombus']:
width, height = _get_node_size(graph, node, node_size)
angle = 45 if node_shape == 'rhombus' else 0
xy_bl = (xy[0] - width // 2, xy[1] - height // 2)
# rounded = angle == 0
rounded = 'rounded' in graph.node.get(node, {}).get('style', '')
isdiag = 'diagonals' in graph.node.get(node, {}).get('style', '')
if rounded:
from matplotlib import patches
rpad = 20
xy_bl = np.array(xy_bl) + rpad
width -= rpad
height -= rpad
boxstyle = patches.BoxStyle.Round(pad=rpad)
patch = mpl.patches.FancyBboxPatch(
xy_bl, width, height, boxstyle=boxstyle, **patch_kw)
else:
bbox = list(xy_bl) + [width, height]
if isdiag:
center_xy = vt.bbox_center(bbox)
_xy = np.array(center_xy)
newverts_ = [
_xy + [ 0, -height / 2],
_xy + [-width / 2, 0],
_xy + [ 0, height / 2],
_xy + [ width / 2, 0],
]
patch = mpl.patches.Polygon(newverts_, **patch_kw)
else:
patch = mpl.patches.Rectangle(
xy_bl, width, height, angle=angle,
**patch_kw)
patch.center = xy
#if style == 'rounded'
#elif node_shape in ['roundbox']:
elif node_shape == 'stack':
width, height = _get_node_size(graph, node, node_size)
xy_bl = (xy[0] - width // 2, xy[1] - height // 2)
patch = pt.cartoon_stacked_rects(xy_bl, width, height, **patch_kw)
patch.xy = xy
else:
raise NotImplementedError('Unknown node_shape=%r' % (node_shape,))
if True:
# Add a frame around the node
framewidth = nattrs.get('framewidth', 0)
if framewidth > 0:
framecolor = nattrs.get('framecolor', node_color)
framecolor = fix_hex_color(framecolor)
#print('framecolor = %r' % (framecolor,))
alpha = 1.0
if framecolor is None:
framecolor = pt.BLACK
alpha = 0.0
if framewidth is True:
figsize = ut.get_argval('--figsize', type_=list, default=None)
if figsize is not None:
# HACK
graphsize = max(figsize)
framewidth = graphsize / 4
else:
framewidth = 3.0
lw = framewidth
frame = pt.make_bbox(bbox, bbox_color=framecolor, ax=ax, lw=lw, alpha=alpha)
patch_dict['patch_frame_dict'][node] = frame
#patch_dict[node] = patch
x, y = xy
text = str(node)
if label is not None:
#text += ': ' + str(label)
text = label
if kwargs.get('node_labels', hacknode or not using_image):
text_args = ((x, y, text), dict(ax=ax, ha='center', va='center',
fontproperties=font_prop))
text_pseudo_objects.append(text_args)
patch_dict['node_patch_dict'][node] = (patch)
def get_default_edge_data(graph, edge):
data = graph.get_edge_data(*edge)
if data is None:
if len(edge) == 3 and edge[2] is not None:
data = graph.get_edge_data(edge[0], edge[1], int(edge[2]))
else:
data = graph.get_edge_data(edge[0], edge[1])
if data is None:
data = {}
return data
###
# Draw Edges
# NEW WAY OF DRAWING EDGEES
edge_pos = layout_info['edge'].get('ctrl_pts', None)
if edge_pos is not None:
for edge, pts in edge_pos.items():
data = get_default_edge_data(graph, edge)
if data.get('style', None) == 'invis':
continue
alpha = data.get('alpha', None)
defaultcolor = pt.BLACK[0:3]
if alpha is None:
if data.get('implicit', False):
alpha = .5
defaultcolor = pt.GREEN[0:3]
else:
alpha = 1.0
color = data.get('color', defaultcolor)
if color is None:
color = defaultcolor
color = fix_hex_color(color)
color = color[0:3]
#layout_info['edge']['ctrl_pts'][edge]
#layout_info['edge']['start_pt'][edge]
offset = 0 if graph.is_directed() else 0
#color = data.get('color', color)[0:3]
start_point = pts[offset]
other_points = pts[offset + 1:].tolist() # [0:3]
verts = [start_point] + other_points
MOVETO = mpl.path.Path.MOVETO
LINETO = mpl.path.Path.LINETO
if splines in ['line', 'polyline', 'ortho']:
CODE = LINETO
elif splines == 'curved':
#CODE = mpl.path.Path.CURVE3
# CODE = mpl.path.Path.CURVE3
CODE = mpl.path.Path.CURVE4
elif splines == 'spline':
CODE = mpl.path.Path.CURVE4
else:
raise AssertionError('splines = %r' % (splines,))
astart_code = MOVETO
astart_code = MOVETO
verts = [start_point] + other_points
codes = [astart_code] + [CODE] * len(other_points)
end_pt = layout_info['edge']['end_pt'][edge]
# HACK THE ENDPOINTS TO TOUCH THE BOUNDING BOXES
if end_pt is not None:
verts += [end_pt]
codes += [LINETO]
path = mpl.path.Path(verts, codes)
figsize = ut.get_argval('--figsize', type_=list, default=None)
if figsize is not None:
# HACK
graphsize = max(figsize)
lw = graphsize / 8
width = graphsize / 15
width = ut.get_argval('--arrow-width', default=width)
lw = ut.get_argval('--line-width', default=lw)
#print('width = %r' % (width,))
else:
width = .5
lw = 1.0
try:
# Compute arrow width using estimated graph size
if node_size is not None and node_pos is not None:
xys = np.array(ut.take(node_pos, node_pos.keys())).T
whs = np.array(ut.take(node_size, node_pos.keys())).T
bboxes = vt.bbox_from_xywh(xys, whs, [.5, .5])
extents = vt.extent_from_bbox(bboxes)
tl_pts = np.array([extents[0], extents[2]]).T
br_pts = np.array([extents[1], extents[3]]).T
pts = np.vstack([tl_pts, br_pts])
extent = vt.get_pointset_extents(pts)
graph_w, graph_h = vt.bbox_from_extent(extent)[2:4]
graph_dim = np.sqrt(graph_w ** 2 + graph_h ** 2)
width = graph_dim * .0005
except Exception:
pass
if not as_directed and end_pt is not None:
pass
lw = data.get('lw', lw)
linestyle = 'solid'
linestyle = data.get('linestyle', linestyle)
hatch = data.get('hatch', '')
#effects = data.get('stroke', None)
from matplotlib import patheffects
path_effects = []
#effects_css = data.get('path_effects', None)
#if effects_css is not None:
# print('effects_css = %r' % (effects_css,))
# # Read data similar to Qt Style Sheets / CSS
# from tinycss.css21 import CSS21Parser
# css = effects_css
# #css = 'stroke{ linewith: 3; foreground: r; } shadow{}'
# stylesheet = CSS21Parser().parse_stylesheet(css)
# if stylesheet.errors:
# print('[pt.nx] css errors')
# print(stylesheet.errors)
# path_effects = []
# for rule in stylesheet.rules:
# if rule.selector.as_css() == 'stroke':
# selector = patheffects.withStroke
# elif rule.selector.as_css() == 'shadow':
# selector = patheffects.withSimplePatchShadow
# effectkw = {}
# for decl in rule.declarations:
# if len(decl.value) != 1:
# raise AssertionError(
# 'I dont know css %r' % (decl,))
# strval = decl.value[0].as_css()
# key = decl.name
# val = ut.smart_cast2(strval)
# effectkw[key] = val
# effect = selector(**effectkw)
# path_effects += [effect]
## http://matplotlib.org/1.2.1/examples/api/clippath_demo.html
if data.get('shadow', None):
# offset=(2, -2, shadow_rgbFace='g'))
shadowkw = data.get('shadow', None)
path_effects += [patheffects.withSimplePatchShadow(**shadowkw)]
stroke_info = data.get('stroke', None)
if stroke_info not in [None, False]:
if stroke_info is True:
strokekw = {}
elif isinstance(stroke_info, dict):
strokekw = stroke_info.copy()
else:
#linewidth=3, foreground='r'
assert False
if strokekw is not None:
# Hack to increase lw
strokekw['linewidth'] = lw + strokekw.get('linewidth', 3)
path_effects += [patheffects.withStroke(**strokekw)]
#for vert, code in path.iter_segments():
# print('code = %r' % (code,))
# print('vert = %r' % (vert,))
# if code == MOVETO:
# pass
#for verts, code in path.cleaned().iter_segments():
# print('code = %r' % (code,))
# print('verts = %r' % (verts,))
# pass
patch = mpl.patches.PathPatch(path, facecolor='none', lw=lw,
path_effects=path_effects,
edgecolor=color,
#facecolor=color,
linestyle=linestyle,
alpha=alpha,
joinstyle='bevel',
hatch=hatch)
if as_directed:
if end_pt is not None:
dxy = (np.array(end_pt) - other_points[-1])
dxy = (dxy / np.sqrt(np.sum(dxy ** 2))) * .1
dx, dy = dxy
rx, ry = end_pt[0], end_pt[1]
patch1 = mpl.patches.FancyArrow(rx, ry, dx, dy, width=width,
length_includes_head=True,
color=color,
head_starts_at_zero=False)
else:
dxy = (np.array(other_points[-1]) - other_points[-2])
dxy = (dxy / np.sqrt(np.sum(dxy ** 2))) * .1
dx, dy = dxy
rx, ry = other_points[-1][0], other_points[-1][1]
patch1 = mpl.patches.FancyArrow(rx, ry, dx, dy, width=width,
length_includes_head=True,
color=color,
head_starts_at_zero=True)
#ax.add_patch(patch1)
patch_dict['arrow_patch_list'][edge] = (patch1)
taillabel = layout_info['edge']['taillabel'][edge]
#ha = 'left'
#ha = 'right'
ha = 'center'
va = 'center'
labelcolor = color # TODO allow for different colors
labelcolor = data.get('labelcolor', color)
labelcolor = fix_hex_color(labelcolor)
labelcolor = labelcolor[0:3]
if taillabel:
taillabel_pos = layout_info['edge']['tail_lp'][edge]
ax.annotate(taillabel, xy=taillabel_pos, xycoords='data',
color=labelcolor,
va=va, ha=ha, fontproperties=font_prop)
headlabel = layout_info['edge']['headlabel'][edge]
if headlabel:
headlabel_pos = layout_info['edge']['head_lp'][edge]
ax.annotate(headlabel, xy=headlabel_pos, xycoords='data',
color=labelcolor,
va=va, ha=ha, fontproperties=font_prop)
label = layout_info['edge']['label'][edge]
if label:
label_pos = layout_info['edge']['lp'][edge]
ax.annotate(label, xy=label_pos, xycoords='data',
color=labelcolor,
va=va, ha=ha, fontproperties=font_prop)
patch_dict['edge_patch_dict'][edge] = patch
#ax.add_patch(patch)
if verbose:
print('Adding %r node patches ' % (len(patch_dict['node_patch_dict'],)))
print('Adding %r edge patches ' % (len(patch_dict['edge_patch_dict'],)))
for frame in patch_dict['patch_frame_dict'].values():
ax.add_patch(frame)
for patch1 in patch_dict['arrow_patch_list'].values():
ax.add_patch(patch1)
use_collections = False
if use_collections:
edge_coll = mpl.collections.PatchCollection(patch_dict['edge_patch_dict'].values())
node_coll = mpl.collections.PatchCollection(patch_dict['node_patch_dict'].values())
#coll.set_facecolor(fcolor)
#coll.set_alpha(alpha)
#coll.set_linewidth(lw)
#coll.set_edgecolor(color)
#coll.set_transform(ax.transData)
ax.add_collection(node_coll)
ax.add_collection(edge_coll)
else:
for patch in patch_dict['node_patch_dict'].values():
if isinstance(patch, mpl.collections.PatchCollection):
ax.add_collection(patch)
else:
ax.add_patch(patch)
if not hacknoedge:
for patch in patch_dict['edge_patch_dict'].values():
ax.add_patch(patch)
for text_args in text_pseudo_objects:
pt.ax_absolute_text(*text_args[0], **text_args[1])
return patch_dict
def netx_draw_images_at_positions(img_list, pos_list, size_list, color_list,
framewidth_list):
"""
Overlays images on a networkx graph
References:
https://gist.github.com/shobhit/3236373
http://matplotlib.org/examples/pylab_examples/demo_annotation_box.html
http://stackoverflow.com/questions/11487797/mpl-overlay-small-image
http://matplotlib.org/api/text_api.html
http://matplotlib.org/api/offsetbox_api.html
TODO: look into DraggableAnnotation
"""
#print('[viz_graph] drawing %d images' % len(img_list))
# Thumb stackartist
import plottool as pt
#ax = pt.gca()
# Ensure all images have been read
img_list_ = [vt.convert_colorspace(vt.imread(img), 'RGB')
if isinstance(img, six.string_types) else img
for img in img_list]
size_list_ = [vt.get_size(img) if size is None else size
for size, img in zip(size_list, img_list)]
as_offset_image = False
if as_offset_image:
offset_img_list = []
artist_list = []
# THIS DOES NOT DO WHAT I WANT
# Scales the image with data coords
from matplotlib.offsetbox import OffsetImage, AnnotationBbox
bboxkw = dict(
xycoords='data',
boxcoords='offset points',
#boxcoords='data',
pad=0.25,
# frameon=False, bboxprops=dict(fc="cyan"),
# arrowprops=dict(arrowstyle="->"))
)
for pos, img, framewidth in zip(pos_list, img_list_, framewidth_list):
offset_img = OffsetImage(img, zoom=.4)
bboxkw['frameon'] = framewidth > 0
artist = AnnotationBbox(offset_img, pos, xybox=(-0., 0.), **bboxkw)
offset_img_list.append(offset_img)
artist_list.append(artist)
else:
# THIS DOES EXACTLY WHAT I WANT
# Ties the image to data coords
#for pos, img, size, color, framewidth in zip(pos_list, img_list_,
# size_list_, color_list,
# framewidth_list):
for pos, img, size in zip(pos_list, img_list_, size_list_):
bbox = vt.bbox_from_center_wh(pos, size)
extent = vt.extent_from_bbox(bbox)
pt.plt.imshow(img, extent=extent)
imgdat = {
#'offset_img_list': offset_img_list,
#'artist_list': artist_list,
}
return imgdat