I have several sets of (x,y) data that I'd like to plot as line plots on the same figure. I have no trouble with matplotlib doing this, but I cannot get the same results with Chaco. Code and output are shown below.
My matplotlib-based code looks like this:
for track in tracks:
xw = np.array(track['xw'])
yw = np.array(track['yw'])
plt.plot(xw, yw, 'b-')
if not plt.gca().yaxis_inverted():
plt.gca().invert_yaxis()
My Chaco-based code looks like this:
for track in tracks:
x = np.array(track['xw'])
y = np.array(track['yw'])
plot = create_line_plot((x,y), color='blue', width=1.0)
plot.origin = 'top left'
container.add(plot)
if track == tracks[0]:
add_default_grids(plot)
add_default_axes(plot)
My matplotlib-based output looks like this:
My chaco-based output looks like this:
The problem with my Chaco-based code above was that I was using an OverlayPlotContainer (container
). Because of this, each plot (from create_line_plot
) was being drawn with its own axes rather than each plot being drawn on the same set of axes. The following works:
pd = ArrayPlotData()
plot = Plot(pd)
for ii, track in enumerate(tracks):
x = np.array(track['xw'])
y = np.array(track['yw'])
x_key = 'x'+str(ii)
y_key = 'y'+str(ii)
pd.set_data(x_key, x)
pd.set_data(y_key, y)
plot.plot((x_key, y_key), color='blue', origin='top left')