def _create_plot_component():
# Use n_gon to compute center locations for our polygons
points = n_gon(center=(0,0), r=3, nsides=4)
# Choose some colors for our polygons
colors = {3:0xaabbcc, 4:'orange', 5:'yellow', 6:'lightgreen'}
# Create a PlotData object to store the polygon data
pd = ArrayPlotData()
# Create a Polygon Plot to draw the regular polygons
polyplot = Plot(pd)
# Store path data for each polygon, and plot
nsides = 3
for p in points:
npoints = n_gon(center=p, r=2, nsides=nsides)
nxarray, nyarray = transpose(npoints)
pd.set_data("x" + str(nsides), nxarray)
pd.set_data("y" + str(nsides), nyarray)
plot = polyplot.plot(("x"+str(nsides), "y"+str(nsides)), type="polygon",
face_color=colors[nsides], hittest_type="poly")[0]
plot.tools.append(DataspaceMoveTool(plot, drag_button="left"))
nsides = nsides + 1
# Tweak some of the plot properties
polyplot.padding = 50
polyplot.title = "Polygon Plot"
polyplot.x_axis.mapper.range.set(low=-10, high=10)
polyplot.y_axis.mapper.range.set(low=-10, high=10)
return polyplot
def _space_plot_default(self):
self.debug_print('_space_plot_default')
p = Plot(self.plot_data)
# Plot track underlay
x_outer, y_outer = np.transpose(n_gon((0, 0), OUTER_DIAMETER / 2, 48))
x_inner, y_inner = np.transpose(n_gon((0, 0), INNER_DIAMETER / 2, 48))
self.plot_data['x_outer'] = x_outer
self.plot_data['y_outer'] = y_outer
self.plot_data['x_inner'] = x_inner
self.plot_data['y_inner'] = y_inner
self.data_to_keep.extend(['x_outer', 'y_outer', 'x_inner', 'y_inner'])
p.plot(('x_outer', 'y_outer'),
type='polygon',
edge_width=1.0,
edge_color='darkgrey',
face_color='linen')
p.plot(('x_inner', 'y_inner'),
type='polygon',
edge_width=1.0,
edge_color='darkgrey',
face_color='white')
p.plot(('pause_x', 'pause_y'), **PAUSE_FMT)
p.plot(('scan_x', 'scan_y'), **SCAN_FMT)
p.plot(('x', 'y'))
p.plot(('cl_x', 'cl_y'), **SPIKE_FMT)
p.title = 'Space'
p.x_axis.title = 'X (cm)'
p.y_axis.title = 'Y (cm)'
p.padding_bottom = 55
p.range2d.set_bounds((-50, -50), (50, 50))
return p
def _create_plot_component():
# Use n_gon to compute center locations for our polygons
points = n_gon(center=(0, 0), r=4, nsides=8)
# Choose some colors for our polygons
colors = {
3: 0xaabbcc,
4: 'orange',
5: 'yellow',
6: 'lightgreen',
7: 'green',
8: 'blue',
9: 'lavender',
10: 'purple'
}
# Create a PlotData object to store the polygon data
pd = ArrayPlotData()
# Create a Polygon Plot to draw the regular polygons
polyplot = Plot(pd)
# Store path data for each polygon, and plot
nsides = 3
for p in points:
npoints = n_gon(center=p, r=2, nsides=nsides)
nxarray, nyarray = transpose(npoints)
pd.set_data("x" + str(nsides), nxarray)
pd.set_data("y" + str(nsides), nyarray)
plot = polyplot.plot(("x" + str(nsides), "y" + str(nsides)),
type="polygon",
face_color=colors[nsides],
hittest_type="poly")[0]
plot.tools.append(DataspaceMoveTool(plot, drag_button="right"))
nsides = nsides + 1
# Tweak some of the plot properties
polyplot.padding = 50
polyplot.title = "Polygon Plot"
# Attach some tools to the plot
polyplot.tools.append(PanTool(polyplot))
zoom = ZoomTool(polyplot, tool_mode="box", always_on=False)
polyplot.overlays.append(zoom)
return polyplot
def _create_plot_component():
# Use n_gon to compute center locations for our polygons
points = n_gon(center=(0, 0), r=4, nsides=8)
# Choose some colors for our polygons
colors = {
3: 0xAABBCC,
4: "orange",
5: "yellow",
6: "lightgreen",
7: "green",
8: "blue",
9: "lavender",
10: "purple",
}
# Create a PlotData object to store the polygon data
pd = ArrayPlotData()
# Create a Polygon Plot to draw the regular polygons
polyplot = Plot(pd)
# Store path data for each polygon, and plot
nsides = 3
for p in points:
npoints = n_gon(center=p, r=2, nsides=nsides)
nxarray, nyarray = transpose(npoints)
pd.set_data("x" + str(nsides), nxarray)
pd.set_data("y" + str(nsides), nyarray)
plot = polyplot.plot(
("x" + str(nsides), "y" + str(nsides)), type="polygon", face_color=colors[nsides], hittest_type="poly"
)[0]
plot.tools.append(DataspaceMoveTool(plot, drag_button="right"))
nsides = nsides + 1
# Tweak some of the plot properties
polyplot.padding = 50
polyplot.title = "Polygon Plot"
# Attach some tools to the plot
polyplot.tools.append(PanTool(polyplot))
zoom = ZoomTool(polyplot, tool_mode="box", always_on=False)
polyplot.overlays.append(zoom)
return polyplot
def _create_plot_component():
# Use n_gon to compute center locations of the "global" polygons
points = n_gon(center=(0,0), r=8, nsides=4)
# Choose some colors for our polygons
colors = {0:0xaabbcc, 1:'orange', 2:'yellow', 3:'lightgreen'}
# Create a PlotData object to store the polygon data
pd = ArrayPlotData()
# Create a Polygon Plot to draw the regular polygons
polyplot = Plot(pd)
# Store path data for each polygon, and plot
for n, ctr in enumerate(points):
nsides = 3
nodes_x = []
nodes_y = []
# Use n_gon again to compute center locations of the "local" polygons
polyg_pnts = n_gon(center=ctr, r=3, nsides=4)
for p in polyg_pnts:
npoints = n_gon(center=p, r=2, nsides=nsides)
nxarray, nyarray = transpose(npoints)
nodes_x = nodes_x + list(nxarray) + [nan] # Updates list of polygons
nodes_y = nodes_y + list(nyarray) + [nan] # Updates list of polygons
nsides = nsides + 1
pd.set_data("x"+str(n), nodes_x) # The list of 6 local polygons
pd.set_data("y"+str(n), nodes_y) # The list of 6 local polygons
plot = polyplot.plot(("x"+str(n), "y"+str(n)), type="polygon",
face_color=colors[n], hittest_type="poly")[0]
plot.tools.append(DataspaceMoveTool(plot, drag_button="left"))
# Tweak some of the plot properties
polyplot.padding = 50
polyplot.title = "Polygon Plot"
polyplot.x_axis.mapper.range.set(low=-20, high=20)
polyplot.y_axis.mapper.range.set(low=-20, high=20)
return polyplot
def _make_pincell_plot(radius, length):
npoints1 = n_gon(center=(0,0), r=length/(2**0.5), nsides=4, rot_degrees=45)
npoints2 = n_gon(center=(0,0), r=radius, nsides=100, rot_degrees=45)
plotdata = ArrayPlotData()
pincell_plot = Plot(plotdata)
nxarray1, nyarray1 = transpose(npoints1)
nxarray2, nyarray2 = transpose(npoints2)
plotdata.set_data("x" + str(4), nxarray1)
plotdata.set_data("y" + str(4), nyarray1)
pincell_plot.plot(("x"+str(4), "y"+str(4)),
type="polygon",
face_color="lightblue")
plotdata.set_data("x" + str(100), nxarray2)
plotdata.set_data("y" + str(100), nyarray2)
pincell_plot.plot(("x"+str(100), "y"+str(100)),
type="polygon",
face_color="red")
pincell_plot.title = "Fuel Pin Cell"
return pincell_plot
def _update_data(self):
distr_len = len(self.data)
plot_data = self.plot_data
# centers of the squares
centers = [(i, 0.5) for i in range(1, distr_len + 1)]
for idx, center in enumerate(centers):
# draw square with area proportional to probability mass
r = np.sqrt(self.data[idx] / (2. * np.pi))
npoints = n_gon(center=center, r=r, nsides=40)
nxarray, nyarray = np.transpose(npoints)
# save in dataarray
plot_data.set_data('x%d' % idx, nxarray)
plot_data.set_data('y%d' % idx, nyarray)
def _update_data(self):
distr_len = len(self.data)
plot_data = self.plot_data
# centers of the squares
centers = [(i, 0.5) for i in xrange(1, distr_len + 1)]
for idx, center in enumerate(centers):
# draw square with area proportional to probability mass
r = np.sqrt(self.data[idx] / (2.*np.pi))
npoints = n_gon(center=center, r=r, nsides=40)
nxarray, nyarray = np.transpose(npoints)
# save in dataarray
plot_data.set_data('x%d' % idx, nxarray)
plot_data.set_data('y%d' % idx, nyarray)
