def _qplot_default(self):
# Force an update of the array data sources so changes are plotted
self.xs.set_data(self.particles.x, sort_order='ascending')
self.ys.set_data(self.particles.y)
#self.vector_ds = MultiArrayDataSource(self.vectors)
self.vector_ds.set_data(self.vectors)
# Set up the Plot
xrange = DataRange1D()
xrange.add(self.xs)
xrange.set_bounds(0,self.xsize)
yrange = DataRange1D()
yrange.add(self.ys)
yrange.set_bounds(0,self.ysize)
qplot = QuiverPlot(index = self.xs, value = self.ys,
vectors = self.vector_ds,
#data_type = 'radial', # not implemented
index_mapper = LinearMapper(range=xrange),
value_mapper = LinearMapper(range=yrange),
bgcolor = "white", line_color = "grey")
qplot.aspect_ratio = float(self.xsize) / float(self.ysize)
return qplot
def _create_plot_component():
# Create some data
numpts = 400
x = sort(random(numpts))
y = random(numpts)
xs = ArrayDataSource(x, sort_order='ascending')
ys = ArrayDataSource(y)
vectorlen = 15
vectors = array((random(numpts) * vectorlen, random(numpts) * vectorlen)).T
vector_ds = MultiArrayDataSource(vectors)
xrange = DataRange1D()
xrange.add(xs)
yrange = DataRange1D()
yrange.add(ys)
quiverplot = QuiverPlot(index=xs,
value=ys,
vectors=vector_ds,
index_mapper=LinearMapper(range=xrange),
value_mapper=LinearMapper(range=yrange),
bgcolor="white")
add_default_axes(quiverplot)
add_default_grids(quiverplot)
# Attach some tools to the plot
quiverplot.tools.append(PanTool(quiverplot, constrain_key="shift"))
zoom = ZoomTool(quiverplot)
quiverplot.overlays.append(zoom)
container = OverlayPlotContainer(quiverplot, padding=50)
return container
def _plot_default(self):
# Array data sources, each single element arrays
x_ds = ArrayDataSource([self.robot.x])
y_ds = ArrayDataSource([self.robot.y])
vector_ds = MultiArrayDataSource()
vector_ds.set_data(self.vector)
# Set up the ranges for the plot explicitly (no autosizing)
x_r = DataRange1D(x_ds)
x_r.set_bounds(0,self.xsize)
y_r = DataRange1D(y_ds)
y_r.set_bounds(0,self.ysize)
plot = QuiverPlot(index = x_ds, value = y_ds,
vectors = vector_ds,
index_mapper = LinearMapper(range=x_r),
value_mapper = LinearMapper(range=y_r),
bgcolor = "white", line_color = self.color, line_width = 2.0)
plot.aspect_ratio = float(self.xsize) / float(self.ysize)
return plot
