import numpy as npy
from pylab import figure, show
X = npy.random.rand(100, 200)
xs = npy.mean(X, axis=1)
ys = npy.std(X, axis=1)
fig = figure()
ax = fig.add_subplot(211)
ax.set_title('click on point to plot time series')
line, = ax.plot(xs, ys, 'o', picker=5) # 5 points tolerance
ax2 = fig.add_subplot(212)
class PointBrowser:
"""
Click on a point to select and highlight it -- the data that
generated the point will be shown in the lower axes. Use the 'n'
and 'p' keys to browse through the next and pervious points
"""
def __init__(self):
self.lastind = 0
self.text = ax.text(0.05, 0.95, 'selected: none',
transform=ax.transAxes, va='top')
self.selected, = ax.plot([xs[0]], [ys[0]], 'o', ms=12, alpha=0.4,
color='yellow', visible=False)
def onpress(self, event):
if self.lastind is None: return
if event.key not in ('n', 'p'): return
if event.key=='n': inc = 1
else: inc = -1
self.lastind += inc
self.lastind = npy.clip(self.lastind, 0, len(xs)-1)
self.update()
def onpick(self, event):
if event.artist!=line: return True
N = len(event.ind)
if not N: return True
# the click locations
x = event.mouseevent.xdata
y = event.mouseevent.ydata
distances = npy.hypot(x-xs[event.ind], y-ys[event.ind])
indmin = distances.argmin()
dataind = event.ind[indmin]
self.lastind = dataind
self.update()
def update(self):
if self.lastind is None: return
dataind = self.lastind
ax2.cla()
ax2.plot(X[dataind])
ax2.text(0.05, 0.9, 'mu=%1.3f\nsigma=%1.3f'%(xs[dataind], ys[dataind]),
transform=ax2.transAxes, va='top')
ax2.set_ylim(-0.5, 1.5)
self.selected.set_visible(True)
self.selected.set_data(xs[dataind], ys[dataind])
self.text.set_text('selected: %d'%dataind)
fig.canvas.draw()
browser = PointBrowser()
fig.canvas.mpl_connect('pick_event', browser.onpick)
fig.canvas.mpl_connect('key_press_event', browser.onpress)
show()
