我正在使用pick_event
绘制时间序列,并希望在选中后突出显示一个点(使用import matplotlib.pyplot as plt
class MyPlot(object):
def __init__(self, parent=None):
super(self.__class__, self).__init__()
def makePlot(self):
fig = plt.figure('Test', figsize=(10, 8))
ax = plt.subplot(111)
x = range(0, 100, 10)
y = (5,)*10
ax.plot(x, y, '-', color='red')
ax.plot(x, y, 'o', color='blue', picker=5)
plt.connect('pick_event', self.onPick)
plt.show()
def onPick(self, event=None):
this_point = event.artist
x_value = this_point.get_xdata()
y_value = this_point.get_ydata()
ind = event.ind
print 'x:{0}'.format(x_value[ind][0])
print 'y:{0}'.format(y_value[ind][0])
if __name__ == '__main__':
app = MyPlot()
app.makePlot()
)。发现了一个类似的问题here,但是无法理解它。这是我所做的基本例子:
# Show Word Cloud
mainPanel(
plotOutput("plot",width = "500px", height="500px")
)
选中的点应标记(例如将其标记为黄色),但是当我选择另一个点时,它应重新设置为蓝色,并且只有新选择的点才会突出显示(没有注释,只有颜色变化)。我怎么能这样做?
答案 0 :(得分:5)
您可以定义一个新的图表(以黄色显示),该图表在开头是空的。单击一个点后,将该图的数据更改为拾取点的数据并重绘画布。
import matplotlib.pyplot as plt
class MyPlot(object):
def makePlot(self):
self.fig = plt.figure('Test', figsize=(10, 8))
ax = plt.subplot(111)
x = range(0, 100, 10)
y = (5,)*10
ax.plot(x, y, '-', color='red')
ax.plot(x, y, 'o', color='blue', picker=5)
self.highlight, = ax.plot([], [], 'o', color='yellow')
self.cid = plt.connect('pick_event', self.onPick)
plt.show()
def onPick(self, event=None):
this_point = event.artist
x_value = this_point.get_xdata()
y_value = this_point.get_ydata()
ind = event.ind
self.highlight.set_data(x_value[ind][0],y_value[ind][0])
self.fig.canvas.draw_idle()
if __name__ == '__main__':
app = MyPlot()
app.makePlot()