0 
cmap = mpl.colors.ListedColormap([[1,0,0], [0,0,1], [0,1,0], [1,1,0]])

    self.fig = plt.figure(figsize=(6,6))
self.ax = self.fig.add_axes([0.1, 0.1, 0.8, 0.8])
x_ax = self.fig.add_axes([0.05, 0.1, 0.05, 0.8])
x2_ax = self.fig.add_axes([0.05, 0.1, 0.05, 0.8])
y_ax = self.fig.add_axes([0.1, 0.05, 0.8, 0.05])
x_ax.imshow(xcolors, cmap=cmap, interpolation='none')
x_ax.set_aspect('auto')
x_ax.set_position((0.1,0.1,0.05,0.8))
y_ax.imshow(ycolors, cmap=cmap, interpolation='none')
x_ax.set_picker(5)
def on_pick(event):
    print hello


self.canvas = FigureCanvas(self, -1, self.fig)
self.canvas.mpl_connect('Pick_event',on_pick)

我的 onclick 方法有问题，基本上我想点击颜色栏并用我拥有的代码打印出你好，它什么也没做我做错了什么？

4

1 回答 1

3

主要问题是您正在创建一个新的canvas而不是使用fig已有的。有（至少）两种方法可以做你想做的事。

您可以通过将图像设置为响应选择事件来做到这一点（参见本教程示例 4）：

cmap = mpl.colors.ListedColormap([[1,0,0], [0,0,1], [0,1,0], [1,1,0]])

xcolors = arange(15).reshape(15,1)
ycolors = arange(15).reshape(1,15)
fig = plt.figure(figsize=(6,6))
ax = fig.add_axes([0.1, 0.1, 0.8, 0.8])
x_ax = fig.add_axes([0.05, 0.1, 0.05, 0.8])
x2_ax = fig.add_axes([0.05, 0.1, 0.05, 0.8])
y_ax = fig.add_axes([0.1, 0.05, 0.8, 0.05])
x_ax.imshow(xcolors, cmap=cmap, interpolation='none', picker=True)
x_ax.set_aspect('auto')
x_ax.set_position((0.1,0.1,0.05,0.8))
y_ax.imshow(ycolors, cmap=cmap, interpolation='none', picker=True)
def on_pick(event):
    artist = event.artist
    if isinstance(artist, matplotlib.image.AxesImage):
        im = artist
        A = im.get_array()
        print A.shape,
    print 'hello'


canvas = fig.canvas
canvas.mpl_connect('pick_event',on_pick)

或者，您可以设置轴以响应选择事件（请参阅颜色条 matplotlib python 上的 onclick 方法），如下所示：

cmap = mpl.colors.ListedColormap([[1,0,0], [0,0,1], [0,1,0], [1,1,0]])

xcolors = arange(15).reshape(15,1)
ycolors = arange(15).reshape(1,15)
fig = plt.figure(figsize=(6,6))
ax = fig.add_axes([0.1, 0.1, 0.8, 0.8])
x_ax = fig.add_axes([0.05, 0.1, 0.05, 0.8])
x2_ax = fig.add_axes([0.05, 0.1, 0.05, 0.8])
y_ax = fig.add_axes([0.1, 0.05, 0.8, 0.05])
x_ax.imshow(xcolors, cmap=cmap, interpolation='none')
x_ax.set_aspect('auto')
x_ax.set_position((0.1,0.1,0.05,0.8))
y_ax.imshow(ycolors, cmap=cmap, interpolation='none')

x_ax.set_picker(5)
y_ax.set_picker(5)

def on_pick(event):
    artist = event.artist
    if isinstance(artist, matplotlib.axes.Axes):

        print event.mouseevent.ydata,
        print event.mouseevent.xdata,
    print 'hello'


canvas = fig.canvas
canvas.mpl_connect('pick_event',on_pick)

请注意活动所携带的艺术家类型的差异（以及您可以轻松访问的信息）。

于 2013-02-17T16:55:59.817 回答