def __init__(self, viewer, parent=None, order=0):
self._viewer = viewer
self._interaction_box = viewer.overlays.interaction_box
self.node = Compound([Line(), Markers(), Markers()], parent=parent)
self.node.order = order
self._on_interaction_box_change()
self._interaction_box.events.points.connect(
self._on_interaction_box_change)
self._interaction_box.events.show.connect(
self._on_interaction_box_change)
self._interaction_box.events.show_handle.connect(
self._on_interaction_box_change)
self._interaction_box.events.show_vertices.connect(
self._on_interaction_box_change)
self._interaction_box.events.selected_vertex.connect(
self._on_interaction_box_change)
self._interaction_box.events.transform.connect(
self._on_interaction_box_change)
self._highlight_width = 1.5
self._vertex_size = 10
self._rotation_handle_length = 20
self._highlight_color = (0, 0.6, 1)
self.square_marker_node.symbol = 'square'
self.square_marker_node.scaling = False
self.round_marker_node.symbol = 'disc'
self.round_marker_node.scaling = False
def add_chan(self, chan, color=None, values=None, limits_c=None, colormap=CHAN_COLORMAP, alpha=None):
"""Add channels to visualization
Parameters
----------
chan : instance of Channels
channels to plot
color : tuple
3-, 4-element tuple, representing RGB and alpha, between 0 and 1
values : ndarray
array with values for each channel
limits_c : tuple of 2 floats, optional
min and max values to normalize the color
colormap : str
one of the colormaps in vispy
alpha : float
transparency (0 = transparent, 1 = opaque)
"""
# reuse previous limits
if limits_c is None and self._chan_limits is not None:
limits_c = self._chan_limits
chan_colors, limits = _prepare_colors(color=color, values=values,
limits_c=limits_c,
colormap=colormap, alpha=alpha,
chan=chan)
self._chan_limits = limits
xyz = chan.return_xyz()
marker = Markers()
marker.set_data(pos=xyz, size=CHAN_SIZE, face_color=chan_colors)
self._add_mesh(marker)
def create_cities(self):
# initialize city markers
self.markers = Markers(parent=self.view.scene)
# move z-direction a bit negative (means nearer to the viewer)
self.markers.transform = STTransform(translate=(0, 0, -10))
cities = utils.get_cities_coords()
cnameList = []
ccoordList = []
for k, v in cities.items():
cnameList.append(k)
ccoordList.append(v)
ccoord = np.vstack(ccoordList)
ccoord = utils.wgs84_to_radolan(ccoord)
pos_scene = np.zeros((ccoord.shape[0], 2), dtype=np.float32)
pos_scene[:] = ccoord - self.r0
# initialize Markers
self.markers.set_data(pos=pos_scene,
symbol="disc",
edge_color="blue",
face_color='red',
size=10)
# initialize Markertext
self.text = Text(text=cnameList,
pos=pos_scene,
font_size=15,
anchor_x='right',
anchor_y='top',
parent=self.view.scene)
def add_mesh_data_to_view(mdata,
view,
want_faces=True,
want_points=True,
want_lines=True,
transform=transforms.MatrixTransform()):
color = mdata.get('color', 'g')
if isinstance(color, str) and color == 'random': color = np.random.random(3).tolist()
else: color = Color(color).rgb.tolist()
res = Attributize()
res.lines = []
res.objs = []
if want_lines and 'lines' in mdata:
for polyline in mdata.lines:
if isinstance(polyline, Attributize):
width = polyline.get('width', 1)
method = 'gl'
if width > 1: method = 'gl'
l = Line(
pos=np.array(np.array(polyline.polyline)),
antialias=True,
method=method,
color=np.array(polyline.colors),
width=width,)
else:
l = Line(pos=np.array(np.array(polyline)), antialias=False, method='gl', color=color)
l.transform = transform
view.add(l)
res.lines.append(l)
res.objs.append(l)
if want_points and mdata.get('points', None) is not None:
scatter = Markers()
#mdata.points = np.array((
# (10.928140, -51.417831, -213.253723),
# (0.000000, -46.719570, -205.607208),
# (0.000000, -53.499737, -215.031876),
# (0.000000, -69.314308, -223.780746),
# (0.000000, -89.549263, -170.910568),))
#mdata.points = np.array(((-12.138942,-55.812309,-217.007050),(10.928140,-51.417831,-213.253723),(-7.289741,-43.585541,-200.506531)))
points_color = mdata.get('points_color', color)
points_size = mdata.get('points_size', 10)
points = np.array(mdata.points)
#print('PLOTTING ', points, points_size)
if len(points) == 0: return
scatter.set_data(points, edge_color=None, face_color=points_color, size=points_size)
scatter.transform = transform
view.add(scatter)
res.objs.append(scatter)
res.points = scatter
if want_faces and 'mesh' in mdata:
mesh = Mesh(meshdata=mdata.mesh, color=color + [0.7])
mesh.transform = transform
view.add(mesh)
res.mesh = mesh
res.objs.append(mesh)
return res
def __init__(self):
app.Canvas.__init__(self, keys='interactive', size=(512, 512 + 2*32),
title="Marker demo [press space to change marker]")
self.index = 0
self.scale = 1.
self.markers = Markers()
self.markers.set_data(pos)
self.markers.set_style(marker_types[self.index])
def test_markers():
"""Test basic marker / point-sprite support"""
# this is probably too basic, but it at least ensures that point sprites
# work for people
with TestingCanvas() as c:
marker = Markers()
marker.set_data(np.array([[50, 50]], np.float32))
c.draw_visual(marker)
marker = _screenshot(alpha=False)
assert 10 < (marker == 255).sum() < 100
def test_markers():
"""Test basic marker / point-sprite support"""
# this is probably too basic, but it at least ensures that point sprites
# work for people
with TestingCanvas() as c:
marker = Markers()
marker.set_data(np.array([[50, 50]], np.float32))
c.draw_visual(marker)
marker = _screenshot(alpha=False)
assert 10 < (marker == 255).sum() < 100
def attach(self, viewer, view, canvas, parent=None, order=0):
super().attach(viewer, view, canvas, parent, order)
self.node = Markers(pos=self._markers_data, parent=parent)
self.node.transform = STTransform()
self.node.order = order
self._nodes = [self.node]
self._viewer.dims.events.ndisplay.connect(self._on_data_change)
self._on_data_change(None)
def _on_display_change(self):
parent = self.node.parent
self.node.transforms = ChainTransform()
self.node.parent = None
if self.layer.dims.ndisplay == 2:
self.node = Compound([Line(), Markers(), Markers()])
else:
self.node = Markers()
self.node.parent = parent
self.layer._update_dims()
self.layer._set_view_slice()
self.reset()
def __init__(self,
symbol='disc',
positions=None,
size=4.0,
edge_size=0.5,
face_colour=None,
edge_colour=None,
scaling=False,
parent=None):
"""
Convenient symbol visual based on :class:`vispy.scene.visuals.Markers`
class instance.
Parameters
----------
symbol : unicode, optional
Symbol type to draw.
positions : array_like, optional
Positions of symbols.
size : numeric, optional
Symbol size.
edge_size : numeric, optional
Symbol edge size.
face_colour : array_like, optional
Uniform symbol colour.
edge_colour : array_like, optional
Uniform symbol edge colour.
scaling : bool, optional
Marker will scale when zooming.
parent : Node, optional
Parent of the symbol visual in the `SceneGraph`.
"""
Markers.__init__(self)
self.set_data(
positions,
size=size,
edge_width=edge_size,
face_color=face_colour,
edge_color=edge_colour,
scaling=scaling)
self.symbol = symbol
if parent is not None:
parent.add(self)
def __init__(self,
symbol='disc',
positions=None,
size=4.0,
edge_size=0.5,
face_colour=None,
edge_colour=None,
scaling=False,
parent=None):
"""
Convenient symbol visual based on :class:`vispy.scene.visuals.Markers`
class instance.
Parameters
----------
symbol : unicode, optional
Symbol type to draw.
positions : array_like, optional
Positions of symbols.
size : numeric, optional
Symbol size.
edge_size : numeric, optional
Symbol edge size.
face_colour : array_like, optional
Uniform symbol colour.
edge_colour : array_like, optional
Uniform symbol edge colour.
scaling : bool, optional
Marker will scale when zooming.
parent : Node, optional
Parent of the symbol visual in the `SceneGraph`.
"""
Markers.__init__(self)
self.set_data(positions,
size=size,
edge_width=edge_size,
face_color=face_colour,
edge_color=edge_colour,
scaling=scaling)
self.symbol = symbol
if parent is not None:
parent.add(self)
def __init__(self, layer):
# Create a compound visual with the following four subvisuals:
# Lines: The lines of the interaction box used for highlights.
# Markers: The the outlines for each point used for highlights.
# Markers: The actual markers of each point.
node = Compound([Line(), Markers(), Markers()])
super().__init__(layer, node)
self.layer.events.symbol.connect(lambda e: self._on_data_change())
self.layer.events.edge_width.connect(lambda e: self._on_data_change())
self.layer.events.edge_color.connect(lambda e: self._on_data_change())
self.layer.events.face_color.connect(lambda e: self._on_data_change())
self.layer.events.highlight.connect(
lambda e: self._on_highlight_change())
self.layer.dims.events.ndisplay.connect(
lambda e: self._on_display_change())
self._on_display_change()
class VispyScatterVisual(VispyBaseVisual):
def __init__(self, color='red', symbol='x'):
super().__init__()
self._color = Color(color)
self._symbol = symbol
self._markers_data = -1e8 * np.ones((1, 2))
def attach(self, viewer, view, canvas, parent=None, order=0):
super().attach(viewer, view, canvas, parent, order)
self.node = Markers(pos=self._markers_data, parent=parent)
self.node.transform = STTransform()
self.node.order = order
self._nodes = [self.node]
self._viewer.dims.events.ndisplay.connect(self._on_data_change)
self._on_data_change(None)
def setVisible(self, value):
super().setVisible(value)
self._on_data_change(None)
def setData(self, x, y):
self._markers_data = np.column_stack((x, y))
self._on_data_change(None)
def _on_data_change(self, event):
if not self._attached or not self._visible:
return
# Actual number of displayed dims
ndisplay = len(self._viewer.dims.displayed)
if ndisplay != 2:
raise ValueError('ndisplay not supported')
self.node.set_data(self._markers_data,
edge_color=self._color,
face_color=self._color,
symbol=self._symbol)
def test_markers():
"""Test basic marker / point-sprite support"""
# this is probably too basic, but it at least ensures that point sprites
# work for people
np.random.seed(57983)
data = np.random.normal(size=(30, 2), loc=50, scale=10)
with TestingCanvas() as c:
marker = Markers(parent=c.scene)
marker.set_data(data)
assert_image_approved(c.render(), "visuals/markers.png")
# Test good correlation at high-dpi
with TestingCanvas(px_scale=2) as c:
marker = Markers(parent=c.scene)
marker.set_data(data)
assert_image_approved(c.render(), "visuals/markers.png")
class Canvas(app.Canvas):
def __init__(self):
app.Canvas.__init__(self, keys='interactive', size=(512, 512 + 2*32),
title="Marker demo [press space to change marker]")
self.index = 0
self.scale = 1.
self.markers = Markers()
self.markers.set_data(pos)
self.markers.set_style(marker_types[self.index])
def on_initialize(self, event):
# We need to give a transform to our visual
self.transform = STTransform()
self.markers._program.vert['transform'] = self.transform.shader_map()
self.apply_zoom()
def on_draw(self, event):
gloo.clear(color='white')
self.markers.draw()
def on_mouse_wheel(self, event):
"""Use the mouse wheel to zoom."""
self.scale *= 1.25 if event.delta[1] > 0 else 0.8
self.scale = max(min(self.scale, 1e2), 1e-2)
self.apply_zoom()
def on_resize(self, event):
self.apply_zoom()
def apply_zoom(self):
gloo.set_viewport(0, 0, *self.size)
self.transform.scale = (2 * self.scale / self.size[0],
2 * self.scale / self.size[1], 1.)
self.transform.translate = [-1, -1]
self.update()
def on_key_press(self, event):
if event.text == ' ':
self.index = (self.index + 1) % (len(marker_types))
self.markers.set_style(marker_types[self.index])
self.update()
def __init__(self, layer):
# Create a compound visual with the following four subvisuals:
# Markers: corresponding to the vertices of the interaction box or the
# shapes that are used for highlights.
# Lines: The lines of the interaction box used for highlights.
# Mesh: The mesh of the outlines for each shape used for highlights.
# Mesh: The actual meshes of the shape faces and edges
node = Compound([Mesh(), Mesh(), Line(), Markers()])
super().__init__(layer, node)
self.layer.events.edge_width.connect(self._on_data_change)
self.layer.events.edge_color.connect(self._on_data_change)
self.layer.events.face_color.connect(self._on_data_change)
self.layer.events.highlight.connect(self._on_highlight_change)
self._reset_base()
self._on_data_change()
self._on_highlight_change()
def __init__(self):
self.clamp_filter = ClampSizeFilter()
super().__init__([Markers(), Markers(), Line(), Text()])
self.attach(self.clamp_filter)
self.scaling = True
def create_marker(self, id, pos, name):
marker = Markers(parent=self.view.scene)
marker.transform = STTransform(translate=(0, 0, -10))
marker.interactive = True
# add id
marker.unfreeze()
marker.id = id
marker.freeze()
marker.set_data(pos=pos[np.newaxis],
symbol="disc",
edge_color="blue",
face_color='red',
size=10)
# initialize Markertext
text = Text(text=name,
pos=pos,
font_size=15,
anchor_x='right',
anchor_y='top',
parent=self.view.scene)
return marker, text
def __init__(
self,
coords,
*,
symbol='o',
size=10,
edge_width=1,
edge_color='black',
face_color='white',
n_dimensional=False,
name=None,
):
# Create a compound visual with the following four subvisuals:
# Lines: The lines of the interaction box used for highlights.
# Markers: The the outlines for each point used for highlights.
# Markers: The actual markers of each point.
visual = Compound([Line(), Markers(), Markers()])
super().__init__(visual, name)
self.events.add(
mode=Event,
size=Event,
face_color=Event,
edge_color=Event,
symbol=Event,
n_dimensional=Event,
)
self._colors = get_color_names()
# Freeze refreshes
with self.freeze_refresh():
# Save the point coordinates
self._data = coords
# Save the point style params
self.symbol = symbol
self.n_dimensional = n_dimensional
self.edge_width = edge_width
self.sizes = size
self.edge_colors = list(
itertools.islice(ensure_iterable(edge_color, color=True), 0,
len(self.data)))
self.face_colors = list(
itertools.islice(ensure_iterable(face_color, color=True), 0,
len(self.data)))
# The following point properties are for the new points that will
# be added. For any given property, if a list is passed to the
# constructor so each point gets its own value then the default
# value is used when adding new points
if np.isscalar(size):
self._size = size
else:
self._size = 10
if type(edge_color) is str:
self._edge_color = edge_color
else:
self._edge_color = 'black'
if type(face_color) is str:
self._face_color = face_color
else:
self._face_color = 'white'
# Indices of selected points
self._selected_data = []
self._selected_data_stored = []
self._selected_data_history = []
# Indices of selected points within the currently viewed slice
self._selected_view = []
# Index of hovered point
self._hover_point = None
self._hover_point_stored = None
self._selected_box = None
self._mode = Mode.PAN_ZOOM
self._mode_history = self._mode
self._status = self.mode
self._drag_start = None
# Nx2 array of points in the currently viewed slice
self._data_view = np.empty((0, 2))
# Sizes of points in the currently viewed slice
self._sizes_view = 0
# Full data indices of points located in the currently viewed slice
self._indices_view = []
self._drag_box = None
self._drag_box_stored = None
self._is_selecting = False
self._clipboard = {}
# update flags
self._need_display_update = False
self._need_visual_update = False
# Re intitialize indices depending on image dims
self._indices = (0, ) * (self.ndim - 2) + (
slice(None, None, None),
slice(None, None, None),
)
# Trigger generation of view slice and thumbnail
self._set_view_slice()
class RadolanCanvas(SceneCanvas):
def __init__(self, **kwargs):
super(RadolanCanvas, self).__init__(keys='interactive', **kwargs)
# set size ov Canvas
self.size = 450, 450
# unfreeze needed to add more elements
self.unfreeze()
# add grid central widget
self.grid = self.central_widget.add_grid()
# add view to grid
self.view = self.grid.add_view(row=0, col=0)
self.view.border_color = (0.5, 0.5, 0.5, 1)
# add signal emitters
self.mouse_moved = EventEmitter(source=self, type="mouse_moved")
# block double clicks
self.events.mouse_double_click.block()
# initialize empty RADOLAN image
img_data = np.zeros((900, 900))
# initialize colormap, we take cubehelix for now
# this is the most nice colormap for radar in vispy
cmap = 'cubehelix'
# initialize Image Visual with img_data
# add to view
self.image = Image(
img_data,
method='subdivide',
#interpolation='bicubic',
cmap=cmap,
parent=self.view.scene)
# add transform to Image
# (mostly positioning within canvas)
self.image.transform = STTransform(translate=(0, 0, 0))
# get radolan ll point coodinate into self.r0
self.r0 = utils.get_radolan_origin()
# create cities (Markers and Text Visuals
self.create_cities()
# create PanZoomCamera
self.cam = PanZoomCamera(name="PanZoom",
rect=Rect(0, 0, 900, 900),
aspect=1,
parent=self.view.scene)
self.view.camera = self.cam
self._mouse_position = None
self.freeze()
# print FPS to console, vispy SceneCanvas internal function
self.measure_fps()
def create_cities(self):
# initialize city markers
self.markers = Markers(parent=self.view.scene)
# move z-direction a bit negative (means nearer to the viewer)
self.markers.transform = STTransform(translate=(0, 0, -10))
cities = utils.get_cities_coords()
cnameList = []
ccoordList = []
for k, v in cities.items():
cnameList.append(k)
ccoordList.append(v)
ccoord = np.vstack(ccoordList)
ccoord = utils.wgs84_to_radolan(ccoord)
pos_scene = np.zeros((ccoord.shape[0], 2), dtype=np.float32)
pos_scene[:] = ccoord - self.r0
# initialize Markers
self.markers.set_data(pos=pos_scene,
symbol="disc",
edge_color="blue",
face_color='red',
size=10)
# initialize Markertext
self.text = Text(text=cnameList,
pos=pos_scene,
font_size=15,
anchor_x='right',
anchor_y='top',
parent=self.view.scene)
def on_mouse_move(self, event):
point = self.scene.node_transform(self.image).map(event.pos)[:2]
self._mouse_position = point
# emit signal
self.mouse_moved()
def __init__(self):
super().__init__([Mesh(), Mesh(), Line(), Markers(), Text()])
def debug(self, measurements, file_path, add_geodesic):
# Model object
model = mesh_lib.Model(file_path)
model_point_coordinates = model.get_coords()
canvas = scene.SceneCanvas(keys='interactive')
view = canvas.central_widget.add_view()
# all model - GREEN
points = Markers(parent=view.scene)
points.set_data(
pos=model_point_coordinates,
edge_color=None,
face_color=(0, 1, 0, .3),
size=5
)
data_list = []
for m in measurements: # measurements in config file
# parsing key vertexes and description text
point_1 = int(m[1]) + 1
point_2 = int(m[2]) + 1
point_3 = int(m[3]) + 1
text = " ".join(m[4:])
# coordinates of key vertexes
key_coords = model.get_coords((point_1, point_2, point_3))
# plane that goes through all three key vertexes
plane = mesh_lib.get_plane(key_coords)
# key vertexes WHITE
points = Markers()
points.set_data(
pos=key_coords,
edge_color=None,
face_color=(1, 1, 1, 1),
size=5
)
# "C" - circumference
if m[0] == "C":
# 3 segments of path (indexes)
p_1 = model.get_path(point_1, point_2)
p_2 = model.get_path(point_2, point_3)
p_3 = model.get_path(point_3, point_1)
# full path
path = p_1 + p_2[1:] + p_3[1:]
# "L" - Length
if m[0] == "L":
# 2 segments of path (indexes)
p_1 = model.get_path(point_1, point_2)
p_2 = model.get_path(point_2, point_3)
# full path
path = p_1 + p_2[1:]
# geodesic
geodesic_coordinates = model.get_coords(path)
geodesic_length = mesh_lib.get_length(geodesic_coordinates)
print("{0}:".format(text))
print(
" Geodesic distance: {0} cm".format(
round(100 * geodesic_length, 3)
)
)
if add_geodesic: # if debug_full
# geodesic line - RED
line = Line(parent=view.scene)
line.set_data(
pos=geodesic_coordinates,
color=(1, 0, 0, 1)
)
# approximated
flattened_coordinates = mesh_lib.get_projections(plane, geodesic_coordinates)
flattened_length = mesh_lib.get_length(flattened_coordinates)
print(
" Approximated distance: {0} cm".format(
round(100 * flattened_length, 3)
)
)
data_list.append(geodesic_length)
data_list.append(flattened_length)
# flattened line - BLUE
line = Line(parent=view.scene)
line.set_data(
pos=flattened_coordinates,
color=(0, 0, 1, 1)
)
view.camera = 'turntable'
view.camera.fov = 45
view.camera.distance = 3
axis = XYZAxis(parent=view.scene)
final_result = {"canvas":canvas,"data":data_list}
return final_result
import mercantile
import numpy as np
from vismap import Canvas, MercatorTransform
from vispy import app
from vispy.scene.visuals import Text, Markers
c = Canvas(show=True)
c.title = 'Issue 5'
c.view.camera.rect = (-1.08475e+07, 4.18788e+06), (2886.92, 2886.92)
c.view.add_tiles_for_current_zoom()
# add reference marker, using calculated x, y
long, lat = -97.441296, 35.18048
x, y = mercantile.xy(long, lat)
m_expected = Markers(parent=c.view.scene)
m_expected.set_data(np.array([(x, y, 0)]), face_color=(0, 1, 1))
t_ok = Text(
'Expected position',
pos=(x + 100, y),
anchor_x='left',
parent=c.view.scene,
color=(0, 1, 1),
)
t_ok.order = 10
m_bad = c.view.marker_at((long - 0.0005, lat), face_color=(1, 0, 0))
t_bad = Text(
'Actual position',
pos=(long, lat),
def __init__(self):
super().__init__([Markers(), Markers(), Line(), Text()])
self.scaling = True
well_x = 200 * np.ones(n_log_samples)
delta_x = 0.3 * np.random.randn(n_log_samples)
well_x += np.cumsum(delta_x)
# Get Y and Z coordinates.
well_y = 100 * np.ones(n_log_samples)
well_z = np.linspace(0, 80, n_log_samples)
# Concate X, Y, and Z coordinates.
well_log_coords = np.stack((well_x, well_y, well_z), axis=1)
# Get well log colors.
cmap = get_colormap('hsl')
values = np.random.uniform(-1.5, 2.5, n_log_samples)
values = np.convolve(values, np.ones((20, )) / 20, mode='same')
well_log_colors = np.array([cmap.map(x) for x in values]).squeeze()
well_log = Markers(pos=well_log_coords,
symbol='hbar',
size=15,
face_color=well_log_colors,
edge_width=0)
canvas4 = SeismicCanvas(title='Voting Scores',
visual_nodes=visual_nodes + [well_log],
xyz_axis=xyz_axis,
colorbar=colorbar,
**canvas_params)
# Image 5: seismic with fault skin surfaces (meshes).
fault_cmap = 'hsl'
fault_range = (0, 180)
# Read from skin files using FaultSkin class.
skin_dir = './F3_fault_skins'
n_log_samples = 500
# Get X coordinates by Random walking.
well_x = 200 * np.ones(n_log_samples)
delta_x = 0.3 * np.random.randn(n_log_samples)
well_x += np.cumsum(delta_x)
# Get Y and Z coordinates.
well_y = 100 * np.ones(n_log_samples)
well_z = np.linspace(0, 80, n_log_samples)
# Concate X, Y, and Z coordinates.
well_log_coords = np.stack((well_x, well_y, well_z), axis=1)
# Get well log colors.
cmap = get_colormap('hsl')
values = np.random.uniform(-1.5, 2.5, n_log_samples)
values = np.convolve(values, np.ones((20,))/20, mode='same')
well_log_colors = np.array([cmap.map(x) for x in values]).squeeze()
well_log = Markers(pos=well_log_coords, symbol='hbar', size=15,
face_color=well_log_colors, edge_width=0)
well_log.set_gl_state(depth_test=False)
visual_nodes.append(well_log)
canvas4 = SeismicCanvas(title='Voting Scores',
visual_nodes=visual_nodes,
xyz_axis=xyz_axis,
colorbar=colorbar,
**canvas_params)
# Image 5: seismic with fault skin surfaces (meshes).
fault_surfaces = []
fault_cmap = 'hsl'
fault_range = (0, 180)
class VispyPointsLayer(VispyBaseLayer):
_highlight_color = (0, 0.6, 1)
_highlight_width = 1.5
def __init__(self, layer):
# Create a compound visual with the following four subvisuals:
# Lines: The lines of the interaction box used for highlights.
# Markers: The the outlines for each point used for highlights.
# Markers: The actual markers of each point.
node = Compound([Line(), Markers(), Markers()])
super().__init__(layer, node)
self.layer.events.symbol.connect(lambda e: self._on_data_change())
self.layer.events.edge_width.connect(lambda e: self._on_data_change())
self.layer.events.edge_color.connect(lambda e: self._on_data_change())
self.layer.events.face_color.connect(lambda e: self._on_data_change())
self.layer.events.highlight.connect(
lambda e: self._on_highlight_change())
self.layer.dims.events.ndisplay.connect(
lambda e: self._on_display_change())
self._on_display_change()
def _on_display_change(self):
parent = self.node.parent
self.node.transforms = ChainTransform()
self.node.parent = None
if self.layer.dims.ndisplay == 2:
self.node = Compound([Line(), Markers(), Markers()])
else:
self.node = Markers()
self.node.parent = parent
self.layer._update_dims()
self.layer._set_view_slice()
self.reset()
def _on_data_change(self):
if len(self.layer._data_view) > 0:
edge_color = [
self.layer.edge_colors[i]
for i in self.layer._indices_view[::-1]
]
face_color = [
self.layer.face_colors[i]
for i in self.layer._indices_view[::-1]
]
else:
edge_color = 'white'
face_color = 'white'
# Set vispy data, noting that the order of the points needs to be
# reversed to make the most recently added point appear on top
# and the rows / columns need to be switch for vispys x / y ordering
if len(self.layer._data_view) == 0:
data = np.zeros((1, self.layer.dims.ndisplay))
size = [0]
else:
data = self.layer._data_view
size = self.layer._sizes_view
if self.layer.dims.ndisplay == 2:
set_data = self.node._subvisuals[2].set_data
else:
set_data = self.node.set_data
set_data(
data[::-1, ::-1] + 0.5,
size=size[::-1],
edge_width=self.layer.edge_width,
symbol=self.layer.symbol,
edge_color=edge_color,
face_color=face_color,
scaling=True,
)
self.node.update()
def _on_highlight_change(self):
if self.layer.dims.ndisplay == 3:
return
if len(self.layer._highlight_index) > 0:
# Color the hovered or selected points
data = self.layer._data_view[self.layer._highlight_index]
if data.ndim == 1:
data = np.expand_dims(data, axis=0)
size = self.layer._sizes_view[self.layer._highlight_index]
face_color = [
self.layer.face_colors[i]
for i in self.layer._indices_view[self.layer._highlight_index]
]
else:
data = np.zeros((1, self.layer.dims.ndisplay))
size = 0
face_color = 'white'
self.node._subvisuals[1].set_data(
data[:, ::-1] + 0.5,
size=size,
edge_width=self._highlight_width,
symbol=self.layer.symbol,
edge_color=self._highlight_color,
face_color=face_color,
scaling=True,
)
if 0 in self.layer._highlight_box.shape:
pos = np.zeros((1, 2))
width = 0
else:
pos = self.layer._highlight_box
width = self._highlight_width
self.node._subvisuals[0].set_data(pos=pos[:, ::-1] + 0.5,
color=self._highlight_color,
width=width)
def reset(self):
self._reset_base()
self._on_data_change()
self._on_highlight_change()
