def new_figure(self):
# Create the figure and the axis
self.figure = plt.figure()
self.axis = self.figure.add_subplot(1, 1, 1, projection="3d")
self.axis.set_title("Trajectory")
self.axis.set_xlabel('x')
self.axis.set_ylabel('y')
self.axis.set_zlabel('z')
self.line_ideal = Line3D([], [], [], color="blue", linestyle=':')
self.line_real = Line3D([], [], [], color="red", linestyle='-')
self.axis.add_line(self.line_ideal)
self.axis.add_line(self.line_real)
self.axis.set_xlim(self.min_x - 0.2, self.max_x + 0.2)
self.axis.set_ylim(self.min_y - 0.2, self.max_y + 0.2)
self.axis.set_zlim(self.min_z - 0.2, self.max_z + 0.2)
self.line_ideal.set_data(self.desired_x, self.desired_y)
self.line_ideal.set_3d_properties(self.desired_z)
# Creating the Animation object
animation.TimedAnimation.__init__(self,
self.figure,
interval=self.refreshRate,
blit=True)
def __init__(self):
fig = plt.figure()
ax1 = fig.add_subplot(1, 2, 1, projection="3d")
ax2 = fig.add_subplot(
2,
2,
2,
)
ax3 = fig.add_subplot(2, 2, 2)
self.t = np.linspace(0, 80, 300)
self.x = np.cos(2 * np.pi * self.t / 10)
self.y = np.sin(2 * np.pi * self.t / 10)
self.z = 10 * self.t
ax1.set_xlabel('x')
ax1.set_ylabel('y')
ax1.set_zlabel('z')
self.line1 = Line3D([], [], [], color='black')
self.line1a = Line3D([], [], [], color='red', linewidth=2)
self.line1e = Line3D([], [], [],
color='red',
marker='o',
markeredgecolor='r')
ax1.add_line(self.line1)
ax1.add_line(self.line1a)
ax1.add_line(self.line1e)
ax1.set_xlim(-1, 1)
ax1.set_ylim(-1, 1)
ax1.set_zlim(0, 800)
ax2.set_xlabel('y')
ax2.set_ylabel('z')
self.line2 = Line2D([], [], color='black')
self.line2a = Line2D([], [], color='red', linewidth=2)
self.line2e = Line2D([], [],
color='red',
marker='o',
markeredgecolor='r')
ax2.add_line(self.line2)
ax2.add_line(self.line2a)
ax2.add_line(self.line2e)
ax2.set_xlim(-1, 1)
ax2.set_ylim(0, 800)
ax3.set_xlabel('x')
ax3.set_ylabel('z')
self.line3 = Line2D([], [], color='black')
self.line3a = Line2D([], [], color='red', linewidth=2)
self.line3e = Line2D([], [],
color='red',
marker='o',
markeredgecolor='r')
ax3.add_line(self.line3)
ax3.add_line(self.line3a)
ax3.add_line(self.line3e)
ax3.set_xlim(-1, 1)
ax3.set_ylim(0, 800)
plt.tight_layout()
animation.TimedAnimation.__init__(self, fig, interval=50, blit=True)
def __init__(self, xdata, ydata, zdata, **kargs):
self._invalidz = False
self._zorig = None
self._update_path = False
self._facecolor = None
self._gl_array_idx = kargs.pop('array_idx', None)
Line3D.__init__(self, xdata, ydata, zdata, **kargs)
ArtGL.__init__(self)
def add_lines_to_objects(self, objects):
for i in range(len(objects)):
objects[i]['lines'] = {
'position': Line3D([], [], [], color='black'),
'trail': Line3D([], [], [], color='m', linewidth=2),
'body_x': Line3D([], [], [], color='red', linewidth=2),
'body_y': Line3D([], [], [], color='green', linewidth=2),
'body_z': Line3D([], [], [], color='blue', linewidth=2)
}
return objects
def zoom_orbit(self, ax):
"""orbit without mars, so we can see earth and spaceship trajectory as they move through space together."""
earth_zoomline = Line3D(
list(self.xs_earth),
list(self.ys_earth),
list(self.zs_earth),
color="deepskyblue",
)
traj_zoomline = Line3D(self.xs, self.ys, self.zs, color="black")
ax.set_title("zoomed in to spaceship")
ax.scatter(0, 0, 0, c="gold", marker="o") # Sun
ax.add_line(earth_zoomline)
ax.add_line(traj_zoomline)
ax.set_xlim(min(self.xs), max(self.xs))
ax.set_ylim(min(self.ys), max(self.ys))
ax.set_zlim(min(self.zs), max(self.zs))
def add_gates_to_axis(self, ax, gates):
for gate in gates:
ax.add_line(
Line3D(gate.corners[0, :],
gate.corners[1, :],
gate.corners[2, :],
color='blue',
linewidth=3))
return ax
def animate(i):
a = Arrow3D([0, M[i, 0]], [0, M[i, 1]],
[0, M[i, 2]], mutation_scale=20,
lw=4, arrowstyle="-|>", color="b")
b = Line3D(M[:i+1, 0], M[:i+1, 1], M[:i+1, 2],
linestyle='--', color="red")
ax.add_artist(a)
ax.add_artist(b)
return [a, b]
def create_artists_highlight(self):
''' creates artists used to higlight active elements'''
self.background = self.canvas.copy_from_bbox(self.ax.bbox)
self.sc_active = self.ax.plot([], [], [], animated=True, marker='o')[0]
self.new_edge = Line3D([], [], [],
color=self.color_active,
lw=self.lw,
animated=True)
self.ax.add_artist(self.new_edge)
def create_artists_graph(self):
'''create and add to self.ax main artrist related to lattice graph'''
# initialize vertices
self.xyz = self.vertices.coords
self.x, self.y, self.z = self.xyz.T
self.update_XY_scr()
# create vertices
if self.sc is not None: # remove previous vertices points
self.ax.collections.remove(self.sc)
self.sc = self.ax.scatter(self.x, self.y, self.z, marker='o')
# create edges
if self.USE_COLLECTIONS:
if self.edges_lines is not None: # remove previous edges lines
for key, edge_col in self.edges_lines.items():
self.ax.collections.remove(edge_col)
self.edges_lines = {}
for key, edge in self.UC.edges.items():
segments = [
self.xyz[self.edges.source_target[j], :]
for j in self.edges.array_ind[key]
]
edge_col = Line3DCollection(segments)
self.ax.add_collection3d(edge_col)
self.edges_lines[key] = edge_col
else:
if self.edges_lines is not None: # remove previous lines edges
for line in self.edges_lines:
self.ax.artists.remove(line)
self.edges_lines = []
for j in range(len(self.edges.ids)):
st = list(self.edges.source_target[j])
line = Line3D(self.x[st], self.y[st], self.z[st])
self.ax.add_artist(line)
self.edges_lines.append(line)
# create latticeNet
if self.latticeNet is not None: # remove previous lattice lines
self.ax.collections.remove(self.latticeNet)
self.latticeNet = Line3DCollection(self.cluster.latticeLines,
linestyle='--',
lw=0.2)
self.ax.add_collection3d(self.latticeNet)
self.v_source_ind, self.v_target_ind = None, None
self.v_ind, self.v_active_ind = None, None
self.e_ind, self.e_active_ind = None, None
self.e_activeDist_ids = []
def __init__(self, A2B, label=None, s=1.0, **kwargs):
super(Frame, self).__init__()
if "c" in kwargs:
kwargs.pop("c")
if "color" in kwargs:
kwargs.pop("color")
self.s = s
self.x_axis = Line3D([], [], [], color="r", **kwargs)
self.y_axis = Line3D([], [], [], color="g", **kwargs)
self.z_axis = Line3D([], [], [], color="b", **kwargs)
self.draw_label = label is not None
self.label = label
if self.draw_label:
self.label_indicator = Line3D([], [], [], color="k", **kwargs)
self.label_text = Text3D(0, 0, 0, text="", zdir="z")
self.set_data(A2B, label)
def show3d(self):
"""Plot facemarks in 3D projection"""
self.clear()
if self.facecap.is_detected:
pts3d = self.facecap.facemarks['3D']
for i, j in connections:
p, q = pts3d[i], pts3d[j]
line = Line3D((p[0], q[0]), (p[1], q[1]), (p[2], q[2]),
c='green')
self.ax.add_line(line)
self.ax.scatter(*pts3d.T, c='black', linewidths=0.4, alpha=0.4)
elev = cv2.getTrackbarPos('Eval', 'Axes')
azim = cv2.getTrackbarPos('Azim', 'Axes')
self.rotate_axes(elev, azim)
self.imshow('3D Mask')
def __init__(self, H, show_direction=True, n_frames=10, s=1.0, **kwargs):
super(Trajectory, self).__init__()
self.show_direction = show_direction
self.trajectory = Line3D([], [], [], **kwargs)
self.key_frames = [Frame(np.eye(4), s=s, **kwargs)
for _ in range(n_frames)]
if self.show_direction:
self.direction_arrow = Arrow3D(
[0, 0], [0, 0], [0, 0],
mutation_scale=20, lw=1, arrowstyle="-|>", color="k")
self.set_data(H)
def add_edge(self):
'''create new edge (or not if condition is not fulfilled)'''
newEdge_id = self.edges.add_edge(self.v_source_ind, self.v_target_ind)
if newEdge_id is not None:
if self.USE_COLLECTIONS:
segments = [
self.xyz[self.edges.source_target[j], :]
for j in self.edges.array_ind[newEdge_id]
]
new_edge_col = Line3DCollection(segments,
color=self.colors_e[0],
lw=self.lw)
self.ax.add_collection3d(new_edge_col)
self.edges_lines[newEdge_id] = new_edge_col
else:
for j in self.edges.array_ind[newEdge_id]:
edge = self.edges.source_target[j]
st = list(edge)
line = Line3D(self.x[st],
self.y[st],
self.z[st],
color=self.colors_e[0],
lw=self.lw)
self.ax.add_artist(line)
self.edges_lines.append(line)
# deactivate previous active edge
if self.e_active_ind is not None:
color = self.colors_e[self.UC.edges[self.e_active_ind].type]
self.reset_active_e_color(color, self.lw)
self.e_active_ind = newEdge_id # activate new edge
self.reset_active_e_color(self.color_active, self.lw_active)
if self.display_report:
print(' added edge: {}'.format(self.UC.edges[newEdge_id]))
if self.parent is not None:
self.parent.unitCellChanged.emit()
self.parent.selectedEdgeChanged.emit(self.e_active_ind)
self.v_source_ind = None
self.v_target_ind = None
def geo3d(XYZ, CON, axes, color):
"""Plot the 3d model
"""
axes.set_xlabel('x')
axes.set_ylabel('y')
axes.set_zlabel('z')
# draw nodes
for node, xyz in enumerate(XYZ):
axes.scatter(xyz[0], xyz[1], xyz[2], c='k', alpha=1, marker='s')
# draw edges
for ele, con in enumerate(CON):
xs = [XYZ[con[0]][0], XYZ[con[1]][0]]
ys = [XYZ[con[0]][1], XYZ[con[1]][1]]
zs = [XYZ[con[0]][2], XYZ[con[1]][2]]
line = Line3D(xs, ys, zs, linewidth=1.0, color=color)
axes.add_line(line)
def __init__(self, tracks, xlim=None, ylim=None, zlim=None, line_kws=None):
super().__init__(tracks)
tracks = tracks.sort_values(['trackid', 'frame'])
tracks['pointid'] = tracks.groupby('trackid').cumcount()
tracks['n_pts'] = tracks.groupby('trackid')['trackid'].transform(
'count')
# set up keyword arguments
line_kws = {} if line_kws is None else line_kws.copy()
line_kws.update(animated=True)
# compute axis limits
xlim = (np.floor(tracks['x'].min()),
np.ceil(tracks['x'].max())) if xlim is None else xlim
ylim = (np.floor(tracks['y'].min()),
np.ceil(tracks['y'].max())) if ylim is None else ylim
framelim = (tracks['frame'].min(), tracks['frame'].max())
fig = Figure()
FigureCanvasAgg(fig)
ax = fig.add_axes([0, 0, 1, 1], projection='3d')
ax.set_xlim3d(xlim)
ax.set_ylim3d(ylim)
ax.set_zlim3d(framelim)
lines = {
trackid: Line3D([], [], [], **line_kws)
for trackid in tracks['trackid'].unique()
}
self.figure = fig
self.ax = ax
self._tracks = tracks
self._framelim = framelim
# artists on plot that will be updated
self._lines = lines
def __init__(self,
ax,
onselect=None,
useblit=True,
lineprops=None,
button=None):
LassoSelector.__init__(self,
ax,
onselect,
useblit=useblit,
button=button)
self.verts = None
if lineprops is None:
lineprops = dict()
if useblit:
lineprops['animated'] = True
self.line = Line3D([], [], [], **lineprops)
self.line.set_visible(False)
self.ax.add_line(self.line)
self.artists = [self.line]
def visualize(data, a, s, e):
plt.figure('3D')
ax = plt.gca(projection='3d')
plt.ion()
for d in data:
plt.cla()
plt.title('a{}_s{}_e{}'.format(a, s, e))
ax.scatter(d[:,0], d[:,1], d[:,2], c='r')
ax.set_xlim(-3, 3)
ax.set_ylim(-3, 3)
ax.set_zlim(-3, 3)
ax.set_zlabel('Z')
ax.set_ylabel('Y')
ax.set_xlabel('X')
for j in range(19):
c1 = J[0][j]
c2 = J[1][j]
ax.add_line(Line3D([d[c1, 0], d[c2, 0]], [d[c1, 1],d[c2, 1]],[d[c1, 2],d[c2, 2]], color='blue'))
try:
plt.pause(0.05)
except Exception:
pass
def draw_line(ax, points, **kwargs):
"""Draw a line segment between multiple points.
Parameters
----------
ax : Axes
The axes for drawing the line segment.
points : (N, D) np.ndarray
A list of points between the line is drawn.
**kwargs
Additional keyword arguments for drawing the line.
Returns
-------
coll : Line2D or Line3D
The created line.
Examples
--------
>>> from lattpy import plotting
>>> import matplotlib.pyplot as plt
>>> fig, ax = plt.subplots()
>>> points = np.array([[1, 0], [0.7, 0.7], [0, 1], [-0.7, 0.7], [-1, 0]])
>>> _ = plotting.draw_line(ax, points)
>>> ax.margins(0.1, 0.1)
>>> plt.show()
"""
dim = len(points[0])
if dim < 3:
line = Line2D(*points.T, **kwargs)
elif dim == 3:
line = Line3D(*points.T, **kwargs)
else:
raise ValueError(f"Can't draw line with dimension {dim}")
ax.add_line(line)
return line
def key_press_callback(self, event):
if event.key == 'shift': # Run optimization algorithm.
x_wp, y_wp, z_wp, psi_wp = self.waypoints.get_data()
x = snap.Trajectory1D(x_wp)
y = snap.Trajectory1D(y_wp)
z = snap.Trajectory1D(z_wp, der=2)
psi = snap.Trajectory1D(psi_wp, der=2)
self.xy_lines = []
self.xz_lines = []
self.xyz_lines = []
self.xyz_vectors = [[], []]
self.xyz_axis.clear()
self.xyz_figure.canvas.draw()
print('Running optimization routine...')
self.trajectory = snap.QrPath(x,
y,
z,
psi,
power=self.power,
tilt=self.tilt,
guess=self.guess)
T = self.trajectory.optimize()
tdata = np.arange(0, sum(T), 0.1)
xdata = [x(t) for t in tdata]
ydata = [y(t) for t in tdata]
zdata = [z(t) for t in tdata]
self.xy_lines.append(
Line2D(xdata, ydata, linestyle='-', marker='', color='b'))
self.xz_lines.append(
Line2D(xdata, zdata, linestyle='-', marker='', color='b'))
self.xyz_lines.append(
Line3D(xdata,
ydata,
zdata,
linestyle='-',
marker='',
color='k'))
self.xy_axis.add_line(self.xy_lines[-1])
self.xy_figure.canvas.restore_region(self.xy_background)
self.xy_axis.draw_artist(self.xy_lines[-1])
self.xy_figure.canvas.blit(self.xy_axis.bbox)
self.xz_axis.add_line(self.xz_lines[-1])
self.xz_figure.canvas.restore_region(self.xz_background)
self.xz_axis.draw_artist(self.xz_lines[-1])
self.xz_figure.canvas.blit(self.xz_axis.bbox)
self.xyz_axis.add_line(self.xyz_lines[-1])
self.xyz_figure.canvas.restore_region(self.xyz_background)
self.xyz_axis.draw_artist(self.xyz_lines[-1])
self.xyz_figure.canvas.blit(self.xyz_axis.bbox)
wp_t = [0]
for t in T:
wp_t.append(wp_t[-1] + t)
for t in wp_t:
self.xyz_vectors[0].append(Line3D([x(t, d=0), x(t, d=0) + x(t, d=1)], [y(t, d=0), y(t, d=0) + y(t, d=1)], [z(t, d=0), z(t, d=0) + z(t, d=1)], \
color='m', lw=2, marker='o', markeredgecolor='m'))
self.xyz_axis.add_line(self.xyz_vectors[0][-1])
self.xyz_figure.canvas.restore_region(self.xyz_background)
self.xyz_axis.draw_artist(self.xyz_vectors[0][-1])
self.xyz_figure.canvas.blit(self.xyz_axis.bbox)
self.xyz_vectors[1].append(Line3D([x(t, d=0), x(t, d=0) + x(t, d=2)], [y(t, d=0), y(t, d=0) + y(t, d=2)], [z(t, d=0), z(t, d=0) + z(t, d=2)], \
color='c', lw=2, marker='o', markeredgecolor='c'))
self.xyz_axis.add_line(self.xyz_vectors[1][-1])
self.xyz_figure.canvas.restore_region(self.xyz_background)
self.xyz_axis.draw_artist(self.xyz_vectors[1][-1])
self.xyz_figure.canvas.blit(self.xyz_axis.bbox)
self.xyz_lines.append(
Line3D(x(t),
y(t),
z(t),
color='w',
linestyle='',
marker='o',
markeredgecolor='k'))
self.xyz_axis.add_line(self.xyz_lines[-1])
self.xyz_figure.canvas.restore_region(self.xyz_background)
self.xyz_axis.draw_artist(self.xyz_lines[-1])
self.xyz_figure.canvas.blit(self.xyz_axis.bbox)
elif event.key == 'z': # Save trajectory to file.
datafile = open(self.filename, 'wb')
pickle.dump(self.trajectory, datafile)
datafile.close()
print('Trajectory saved to data file.', end='\n\n')
elif event.key == 't': # Toggle waypoint adjustment.
self.waypoints.toggle = not self.waypoints.toggle
print('Waypoint adjustment toggled.', end='\n\n')
def __init__(self, users, drones, groups, drones_paths, drones_diagrams,
coverage, parameters):
# Исходные данные
self.area_x = parameters['area_x']
self.area_y = parameters['area_y']
self.area_z = parameters['drones_height']
self.users = users
self.drones = drones
self.drones_paths = drones_paths
self.diagrams = drones_diagrams
self.coverage = coverage
self.max_simulation_time = parameters['max_simulation_time']
self.delta_t = parameters['delta_t']
self.delta_t_vis = 0.1
self.delta_diff = self.delta_t_vis / self.delta_t
self.total_time_steps = int(self.max_simulation_time /
self.delta_t_vis)
self.groups_number = parameters['groups_number']
self.drones_number = parameters['drones_number']
gridsize = (5, 2)
self.fig = plt.figure(dpi=100, figsize=(10, 7))
self.ax1 = plt.subplot2grid(gridsize, (0, 0),
projection='3d',
colspan=2,
rowspan=3)
self.ax2 = plt.subplot2grid(gridsize, (3, 0), colspan=1, rowspan=2)
self.ax3 = plt.subplot2grid(gridsize, (3, 1), colspan=1, rowspan=2)
self.ax1.set_xlim(0, self.area_x)
self.ax1.set_ylim(0, self.area_y)
self.ax1.set_zlim(0, self.area_z)
self.ax1.xaxis.set_pane_color((0, 0, 0, 0.01))
self.ax1.yaxis.set_pane_color((0, 0, 0, 0.01))
self.ax1.zaxis.set_pane_color((0, 0, 0, 0.01))
self.ax1.set_zticks(np.arange(0, self.area_z + 10, 10))
self.ax1.set_xlabel("x, m")
self.ax1.set_ylabel("y, m")
self.ax1.set_zlabel("H, m")
self.ax2.set_xlabel("Modelling time, s")
self.ax2.set_ylabel("Coverage probability, %")
self.ax2.set_xlim(
-self.max_simulation_time * 0.05,
self.max_simulation_time + self.max_simulation_time * 0.05)
self.ax2.set_ylim(-8, 108)
self.ax2.grid(alpha=0.3)
self.ax3.set_xlabel("Modelling time, s")
self.ax3.set_ylabel("Coverage probability, %")
self.ax3.grid(alpha=0.3)
colors = [
['#0026FF', '#7C96FF'], # Color 1 in picture
['#FF2100', '#FF7E75'], # Color 2 in picture
['#009E56', '#00E57E'], # Color 3 in picture
['#57007F', '#8D00CE'], # Color 4 in picture
['#FF6A00', '#FFAA10'], # Color 5 in picture
['#0af5f5', '#4cfcfc'], # Color 6 in picture
['#71c78a', '#b5ffca'] # Color 7 in picture
]
self.group = groups
# Создаем объекты Line3D, в которые передаем координаты всего, что нужно отрисовать, в нулевой момент времени
self.groups_leaders_line = []
self.groups_line = []
self.groups_circle = []
self.drones_line = []
self.drones_radius_circle = []
self.drones_path_line = []
self.drones_diagrams_line = []
# self.rad = np.sqrt(26.648092476442518**2 - 18**2)
ant = Antenna(parameters)
distance_3d = ant.get_distance_on_snr(parameters['snr_threshold'])
self.rad = np.sqrt(distance_3d**2 - (parameters['drones_height'] -
parameters['users_height'])**2)
self.r_angles = np.linspace(0, 2 * np.pi, 30)
for g in range(self.groups_number):
self.groups_leaders_line.append(
Line3D(self.users[0, self.group[g][0], 0],
self.users[0, self.group[g][0], 1],
self.users[0, self.group[g][0], 2],
color=colors[g][0],
linestyle='',
marker='D'))
self.groups_line.append(
Line3D(self.users[0, self.group[g][1:], 0],
self.users[0, self.group[g][:1], 1],
self.users[0, self.group[g][1:], 2],
color=colors[g][1],
linestyle='',
marker='o'))
self.ax1.add_line(self.groups_leaders_line[g])
self.ax1.add_line(self.groups_line[g])
for d in range(self.drones_number):
self.drones_line.append(
Line3D(self.drones[0, d, 0],
self.drones[0, d, 1],
self.drones[0, d, 2],
color='black',
linestyle='',
marker='o'))
self.drones_radius_circle.append(
Line3D(self.drones[0, d, 0] + self.rad * np.cos(self.r_angles),
self.drones[0, d, 1] + self.rad * np.sin(self.r_angles),
2,
color='black',
lw=0.5))
self.drones_path_line.append(
Line3D([self.drones[0, d, 0], self.drones_paths[0, d, 0]],
[self.drones[0, d, 1], self.drones_paths[0, d, 1]],
[self.drones[0, d, 2], self.drones_paths[0, d, 2]],
color='black',
linestyle='--',
lw=0.7))
self.ax1.add_line(self.drones_line[d])
self.ax1.add_line(self.drones_radius_circle[d])
self.ax1.add_line(self.drones_path_line[d])
if self.diagrams.size: # Если массив диаграмм не пустой
i = 0
for reg in self.diagrams[0]:
for line in reg:
self.drones_diagrams_line.append(
Line3D([line[0][0], line[1][0]],
[line[0][1], line[1][1]], [0, 0],
color='#550055',
lw=0.7))
self.ax1.add_line(self.drones_diagrams_line[i])
i += 1
self.ax2_coverage_x = [0]
self.ax2_coverage_y = [self.coverage[0]]
self.coverage_line = Line2D(self.ax2_coverage_x, self.ax2_coverage_y)
self.ax2.add_line(self.coverage_line)
self.ax3_coverage_x = [0]
self.ax3_coverage_y = [self.coverage[0]]
self.coverage_line_2 = Line2D(self.ax3_coverage_x, self.ax3_coverage_y)
self.ax3.add_line(self.coverage_line_2)
def execute(self,
si):
filenamebase = si.createfilenamebase()
#PRR is calculated by PacketMetric, loading it here
prr = np.load(filenamebase+"_prr.npy")
print "="*40
print "Executing TopologyGraph:"
print "filenamebase\t\t", filenamebase
print "="*40
fig = plt.figure(figsize=(13,10),
subplotpars = SubplotParams(left = 0.05,
bottom = 0.05,
top = 0.95,
right = 0.75))
ax = axes3d.Axes3D(fig, azim = -60, elev = 30)
consist = np.zeros(si.nodes)
xarr = np.zeros(si.nodes)
yarr = np.zeros(si.nodes)
zarr = np.zeros(si.nodes)
packs = []
ifile = open(filenamebase+"_id2xyz.pickle", "r")
id2xyz_dict = pickle.load(ifile)
ifile.close()
# print id2xyz_dict
for id1 in range(1, si.nodes+1):
(x, y, z) = id2xyz_dict[id1]
xarr[id1-1] = x
yarr[id1-1] = y
zarr[id1-1] = z
# print "x = ",xarr[id1-1]
xmin,xmax = ax.get_xlim3d()
ymin,ymax = ax.get_ylim3d()
zmin,zmax = ax.get_zlim3d()
ax.set_xlim3d(0, xmax+1)
ax.set_ylim3d(0, ymax+1)
ax.set_zlim3d(0, zmax+1)
ax.set_xlabel('X [m]')
ax.set_ylabel('Y [m]')
ax.set_zlabel('Z [m]')
ax.scatter(xarr,yarr,zarr,zdir='z')
#### Start plotting lines####
for id1 in range(1, si.nodes+1):
for id2 in range(1, si.nodes+1):
if prr[id1][id2] == 0:
linecolor = None
alpha = 0.0
if prr[id1][id2] >= 0.5:
linecolor = 'b'
alpha = 1.0
if prr[id1][id2] >= 0.95:
linecolor = 'g'
alpha = 1.0
if prr[id1][id2] >= 0.99:
linecolor = 'k'
alpha = 1.0
(x, y, z) = id2xyz_dict[id1]
(x2, y2, z2) = id2xyz_dict[id2]
packs.append(
Line3D([x, x2],
[y, y2],
[z, z2],
color=linecolor,
linewidth=0.5,
alpha=alpha)
)
text = "#Nodes: " + str(si.nodes) + ", " + \
"Size: " + str(si.distance)
plt.title('Topology\n(' + text +')')
for p in packs:
ax.add_artist(p)
p.set_clip_box(ax.bbox)
prr_gt_0 = Line2D([0, 0.1],
[0, 0.1],
color='r',
linewidth=0.8)
prr_lt_0_5 = Line2D([0,0.1],
[0, 0.1],
color='b',
linewidth=0.8)
prr_lt_0_95 = Line2D([0, 0.1],
[0, 0.1],
color='g',
linewidth=0.8)
prr_gt_0_99 = Line2D([0, 0.1],
[0, 0.1],
color='k',
linewidth=0.8)
plt.legend( (prr_gt_0,
prr_lt_0_5,
prr_lt_0_95,
prr_gt_0_99,
),
('0 < PRR < 0.5',
'0.5 < PRR < 0.95',
'0.95 < PRR < 0.99',
'0.99 < PRR < 1',
),
# bbox_to_anchor=(0.05,0.95),
# borderaxespad = 0.,
loc = 2,
fancybox = 'True')
plt.savefig(filenamebase+"_topology.pdf")
ax.set_aspect('equal')
ax.grid()
ax.add_line(line1)
ax.add_line(line2)
ax.add_line(line3)
ax.add_line(line4)
ax.add_line(line5)
fig.canvas.draw()
else:
ax = fig.add_subplot(111, projection='3d')
line1 = Line3D(
[],
[],
[],
color='g',
ls='-',
lw=1.0, # link chain start in 3D
marker='o',
mew=1.0,
mec='k',
mfc='g')
line2 = Line3D(
[],
[],
[],
color='b',
ls='-',
lw=2.0, # link chain motion in 3D
marker='o',
mew=1.0,
mec='k',
def draw(self, renderer):
if isSupportedRenderer(renderer):
if self._invalidy or self._invalidx or self._invalidz:
self.recache()
if self.get_zdata() is None:
self._zorig = np.array([0]*len(self.get_xdata()))
renderer.use_gl = True
glcanvas = get_glcanvas()
if self.axes is not None:
tag = self.axes
trans = self.axes.transAxes
elif self.figure is not None:
tag = self.figure
trans = self.figure.transFpigure
glcanvas.frame_request(self, trans)
# if not glcanvas.has_vbo_data(self):
glcanvas.start_draw_request(self)
#3dpath = (self.get_xdata(), self.get_ydata(), self_zdata())
#path = Path(self._xy)
if self._invalidz:
self.set_3d_properties(zs=self.get_zdata(), zdir='z')
if glcanvas.has_vbo_data(self):
d = glcanvas.get_vbo_data(self)
for x in d:
x['v'].need_update = True
# path.zvalues = self.get_zdata()
self._invalidz = False
gc = renderer.new_gc()
ln_color_rgba = self._get_rgba_ln_color()
gc.set_foreground(ln_color_rgba, isRGBA=True)
gc.set_linewidth(self._linewidth)
if self._marker.get_marker() == ',':
gc.set_linewidth(0)
if self._gl_3dpath is None:
self.verts3d_to_3dpath()
if len(self._gl_3dpath) == 3:
renderer.gl_draw_path(gc, self._gl_3dpath, trans,
rgbFace = self._facecolor,
linestyle = self._linestyle)
else:
fc = None if self._facecolor is None else [self._facecolor]
renderer.gl_draw_path_collection_e(
gc, None, self._gl_3dpath,
None, self._gl_offset, None,
fc, [ln_color_rgba],
[self._linewidth], self._linestyle,
self._antialiased, self._url,
None, lighting = self._gl_lighting,
stencil_test = False,
view_offset = self._gl_voffset,
array_idx = self._gl_array_idx)
if len(self._marker.get_path()) != 0:
marker_path = None
marker_trans = None
m_facecolor = self.get_markerfacecolor()
m_edgecolor = self.get_markeredgecolor()
m_edgewidth = self.get_markeredgewidth()
m_size = renderer.points_to_pixels(self._markersize)
#marker_path is bitmap (texture)
#marker_trans is marker_size and other info (liken marker_every)
marker_path = self.update_marker_texture(renderer)
marker_trans = (m_size,)
renderer.gl_draw_markers(gc, marker_path, marker_trans,
self._gl_3dpath[:3], trans,
array_idx = self._gl_array_idx)
glcanvas.end_draw_request()
gc.restore()
finish_gl_drawing(glcanvas, renderer, tag, trans)
renderer.use_gl = False
else:
v = Line3D.draw(self, renderer)
def __init__(self,
D,
C=None,
G=None,
Gate_objects=None,
Camera_object=None,
Floor_object=None,
fig=None,
ax=0,
speed=1,
fps=25,
trail_time=1.,
axis_length=2.,
view=(90, -90),
equal_lims=25,
xlims=None,
ylims=None,
zlims=None):
#past time [sec] highlighting position data with a different color
self.trail_time = trail_time
#length [m] of quadrotor body axes
self.axis_length = axis_length
#speed of animation
self.speed = speed
#frames per second for the visualization
self.fps = fps
# interval/period in which the data is visualized
interval = int(1000 / fps) #in ms
#downsample drone data to the visualization sampling rate
D = self.downsample(D, fps / speed)
#downsample camera data to the visualization sampling rate
if C is not None:
C = self.downsample(C, fps / speed)
print('visualization sampling rate is {:.2f} Hz'.format(fps))
#get the objects to visualize from hierarchical header
Pose_objects = self.get_pose_objects(
D, Gate_objects) #here add the drone(s) moving objects
#add drawable lines for position, trail, body xyz to each object
Pose_objects = self.add_lines_to_objects(Pose_objects)
#make a figure
if fig is None:
fig = plt.figure(figsize=(10, 10))
self.ax = fig.add_subplot(1, 1, 1, projection="3d")
else:
self.ax = fig.axes[ax]
#add lines to current axis
self.ax = self.add_lines_to_axis(self.ax, Pose_objects)
# add static gates to axis
if Gate_objects is not None:
self.add_gates_to_axis(self.ax, Gate_objects)
#add camera frame to axis
if (Camera_object is not None) and (C is not None):
#make a camera object with position information etc
self.camera_object = {
'name':
'camera',
'time':
C.ts.values,
'position':
C.loc[:, ('cam_pos_x', 'cam_pos_y', 'cam_pos_z')].values,
'rotation':
C.loc[:, ('cam_rot_x_quat', 'cam_rot_y_quat', 'cam_rot_z_quat',
'cam_rot_w_quat')].values,
'object':
Camera_object,
'line':
Line3D([], [], [], color='black')
}
#add camera object as line to the axis
self.ax.add_line(self.camera_object['line'])
else:
#if no camera data available set this variable to None (important, will be checked in the draw method)
self.camera_object = None
#add gaze projection to axis
if G is not None:
ts_trace = G.ts.values
ts_drone = D.ts.values
idx = [np.argmin(np.abs(ts_trace - _t)) for _t in ts_drone]
ts_trace = G.loc[:, ('ts')].iloc[idx].values
p_origin = G.loc[:, ('cam_pos_x', 'cam_pos_y',
'cam_pos_z')].iloc[idx].values
norm_ray = G.loc[:, ('norm_ray_x', 'norm_ray_y',
'norm_ray_z')].iloc[idx].values
p_close_intersect = G.loc[:, (
'close_intersect_pos_x', 'close_intersect_pos_y',
'close_intersect_pos_z')].iloc[idx].values
ind = np.isnan(p_close_intersect[:, 0]).flatten()
p_endpoint = p_close_intersect
p_endpoint[ind, :] = p_origin[ind, :] + norm_ray[ind, :] * 1000.
ray_length = G.loc[:, ('close_intersect_distance')].iloc[idx]
ray_length[ind] = 1000.
# make a camera object with position information etc
self.trace_object = {
'name': 'camera',
'time': ts_trace,
'origin': p_origin,
'endpoint': p_endpoint,
'norm_ray': norm_ray,
'length': ray_length,
'line': Line3D([], [], [], color='cyan')
}
# add camera object as line to the axis
self.ax.add_line(self.trace_object['line'])
else:
self.trace_object = None
#save objects as global variable
self.Pose_objects = Pose_objects
#save time as global variable
self.t = self.Pose_objects[0]['time']
#label the axes
self.ax.set_xlabel('X [m]')
self.ax.set_ylabel('Y [m]')
self.ax.set_zlabel('Z [m]')
#set the view
self.ax.view_init(elev=view[0], azim=view[1])
#set axis limits
#if equal axis limits requested
if equal_lims is not None:
if isinstance(equal_lims, tuple) or isinstance(equal_lims, list):
lims = tuple(equal_lims)
else:
lims = (-equal_lims, equal_lims)
self.ax.set_xlim(lims)
self.ax.set_ylim(lims)
self.ax.set_zlim(lims)
#if individual axis limits or none are requested
else:
min_vals = np.nanmin(self.Pose_objects[0]['position'], axis=0)
max_vals = np.nanmax(self.Pose_objects[0]['position'], axis=0)
if xlims is None:
xlims = (min_vals[0], max_vals[0])
self.ax.set_xlim(xlims)
if ylims is None:
ylims = (min_vals[1], max_vals[1])
self.ax.set_ylim(ylims)
if zlims is None:
zlims = (min_vals[2], max_vals[2])
self.ax.set_zlim(zlims)
#make the animation
animation.TimedAnimation.__init__(self,
fig,
interval=interval,
repeat=False,
blit=False)
def __init__(self, qs, ts, t_final, max_year, ax):
eph = get_ephemerides(max_year=max_year)
earth = eph["earth"]
mars = eph["mars"]
# ts is in years, and is as such very small. we scale it to days, to fit with eph
days_ts = [(t * UNIT_TIME) / 3600 / 24 for t in ts]
qs = [get_position_cartesian_from_spherical(x, y, z) for x, y, z in qs]
self.xs, self.ys, self.zs = np.array(
qs
).T # get individual coordinate sets for plotting
self.t_final = t_final
ax.set_title("animation")
self.ani_ax = ax
xs_earth = []
ys_earth = []
zs_earth = []
xs_mars = []
ys_mars = []
zs_mars = []
for t in days_ts:
t_eph = get_ephemerides_on_day(eph, day_index=t)
xs_earth.append(t_eph["earth"]["x"])
ys_earth.append(t_eph["earth"]["y"])
zs_earth.append(t_eph["earth"]["z"])
xs_mars.append(t_eph["mars"]["x"])
ys_mars.append(t_eph["mars"]["y"])
zs_mars.append(t_eph["mars"]["z"])
self.xs_earth = xs_earth
self.ys_earth = ys_earth
self.zs_earth = zs_earth
self.xs_mars = xs_mars
self.ys_mars = ys_mars
self.zs_mars = zs_mars
self.earth_xdata = [self.xs_earth[0]]
self.earth_ydata = [self.ys_earth[0]]
self.earth_zdata = [self.zs_earth[0]]
self.earth_line = Line3D(
self.earth_xdata, self.earth_ydata, self.earth_zdata, color="deepskyblue"
)
self.ani_ax.add_line(self.earth_line)
self.mars_xdata = [self.xs_mars[0]]
self.mars_ydata = [self.ys_mars[0]]
self.mars_zdata = [self.zs_mars[0]]
self.mars_line = Line3D(
self.mars_xdata, self.mars_ydata, self.mars_zdata, color="orange"
)
self.ani_ax.add_line(self.mars_line)
self.xdata = [self.xs[0]]
self.ydata = [self.ys[0]]
self.zdata = [self.zs[0]]
self.traj_line = Line3D(self.xdata, self.ydata, self.zdata, color="black")
self.ani_ax.add_line(self.traj_line)
# -- SUN --
ax.scatter(0, 0, 0, c="gold", marker="o")
self.ani_ax.set_xlim(-1.5, 1.5)
self.ani_ax.set_ylim(-1.5, 1.5)
self.ani_ax.set_zlim(-1, 1)
self.ani_terminate = False