def _plot_default(self):
data_xy = self.map.xy()
x_ds = ArrayDataSource(data_xy[:,0] * self.map.scale)
y_ds = ArrayDataSource(data_xy[:,1] * self.map.scale)
self.x_ds = x_ds
self.y_ds = y_ds
x_dr = DataRange1D(x_ds)
y_dr = DataRange1D(y_ds)
x_dr.set_bounds(0, self.map.x_inches) # auto ranging won't work if a side has no walls
y_dr.set_bounds(0, self.map.y_inches)
markersize = max( min(475/self.map.ydim, 500/self.map.xdim), 1 )
# marker_size needs to be roughly plot.bounds[0] / (xdim*2)
plot = ScatterPlot(index = x_ds, value = y_ds,
index_mapper = LinearMapper(range = x_dr),
value_mapper = LinearMapper(range = y_dr),
color = "black", bgcolor = "white",
marker = "square", marker_size = markersize)
plot.aspect_ratio = float(self.xdim) / float(self.ydim)
pgx = PlotGrid(component = plot, mapper = plot.index_mapper, orientation = 'vertical',
grid_interval = 1, line_width = 1.0, line_style = "dot", line_color = "lightgray")
pgy = PlotGrid(component = plot, mapper = plot.value_mapper, orientation = 'horizontal',
grid_interval = 1, line_width = 1.0, line_style = "dot", line_color = "lightgray")
plot.underlays.append(pgx)
plot.underlays.append(pgy)
add_default_axes(plot)
# this is meaningless until we're actually rendered
#print plot.bounds
return plot
