def _create_plot_component():
# Create theta data
numpoints = 5000
low = 0
high = 2*pi
theta = arange(low, high, (high-low) / numpoints)
# Create the radius data
radius = cos(3*theta)
# Create a new polar plot with radius and theta data
plot = create_polar_plot((radius,theta),color=(0.0,0.0,1.0,1), width=4.0)
return plot
def _create_window(self):
# Create theta data
numpoints = 5000
low = 0
high = 2*pi
theta = arange(low, high, (high-low) / numpoints)
# Create the radius data
radius = cos(3*theta)
# Create a new polar plot with radius and theta data
plot = create_polar_plot((radius,theta),color=(0.0,0.0,1.0,1), width=4.0)
label = DataLabel(component=plot, data_point=(radius[100],theta[200]),
padding=40,
label_format = 'What shall I write here?',
bgcolor = "transparent",
border_visible=False)
plot.overlays.append(label)
return Window(self, -1, component=plot)
from numpy import arange, pi, sin, cos
from enthought.enable.example_support import DemoFrame, demo_main
from enthought.enable.api import Window
from enthought.traits.api import false
from enthought.chaco.api import create_polar_plot
numpoints = 5000
low = 0
high = 2*pi
theta = arange(low, high, (high-low) / numpoints)
# Create the radius data
radius = cos(3*theta)
# Create a new polar plot with radius and theta data
myplot = create_polar_plot((radius,theta),color=(0.0,0.0,1.0,1), width=4.0)
# We now need to set the plot's size, and add a little padding for the axes.
# (Normally, when Chaco plots are placed inside WX windows, the bounds are
# set automatically by the window.)
myplot.padding = 50
myplot.bounds = [400,400]
myplot.outer_bounds = [600,600]
def main():
# Now we create a canvas of the appropriate size and ask it to render
# our component. (If we wanted to display this plot in a window, we
# would not need to create the graphics context ourselves; it would be
# created for us by the window.)
plot_gc = chaco.PlotGraphicsContext(myplot.outer_bounds)
plot_gc.render_component(myplot)
def _create_polar_plot(self, plotitem, values, **kwargs):
plot = create_polar_plot(values, **kwargs)
return plot
