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我阅读了 matplotlib 的文档并编写了以下代码，它应该捕获我的鼠标事件并在我单击时移动灰线位置。我在 jupiter notebook 在线阅读了这段代码，它像往常一样停止显示光标的坐标，发生了什么？谁能帮我？

import pandas as pd
import numpy as np
import matplotlib.colors as mcol
import matplotlib.cm as cm
from scipy import stats
from matplotlib.lines import Line2D
import matplotlib.pyplot as plt 
import scipy.spatial as spatial
np.random.seed(12345)

df = pd.DataFrame([np.random.normal(33500,150000,3650), 
                   np.random.normal(41000,90000,3650), 
                   np.random.normal(41000,120000,3650), 
                   np.random.normal(48000,55000,3650)], 
                  index=[1992,1993,1994,1995])

fig, ax = plt.subplots()

year_avg = df.mean(axis = 1)
year_std = df.std(axis = 1)
yerr = year_std / np.sqrt(df.shape[1]) * stats.t.ppf(1-0.05/2, df.shape[1]-1)

bars=ax.bar(range(df.shape[0]), year_avg, yerr = yerr, color = 'lightslategrey')
threshold=42000
line=plt.axhline(y = threshold, color = 'grey', alpha = 0.5)

cm1 = mcol.LinearSegmentedColormap.from_list("CmapName",["yellow", "orange", "red"])
cpick = cm.ScalarMappable(cmap=cm1)
percentages = []
cpick.set_array([])
def setColor(bars, yerr,threshold):
    for bar, yerr_ in zip(bars, yerr):
        low = bar.get_height() - yerr_
        high = bar.get_height() + yerr_
        percentage = (high-threshold)/(high-low)
        if percentage>1: percentage = 1
        if percentage<0: percentage=0
        percentages.append(percentage)
    cpick.to_rgba(percentages)
    bars = ax.bar(range(df.shape[0]), year_avg, yerr = yerr, color = cpick.to_rgba(percentages))
    return bars
line=plt.axhline(threshold, color = 'grey', alpha = 0.5)

setColor(bars, yerr,threshold)
plt.colorbar(cpick, orientation='horizontal')
plt.xticks(range(df.shape[0]), df.index)
fig = plt.figure()
plt.show()

def onclick(event):
    print('%s click: button=%d, x=%d, y=%d, xdata=%f, ydata=%f' %
          ('double' if event.dblclick else 'single', event.button,
           event.x, event.y, event.xdata, event.ydata))
    line.set_ydata(event.ydata)
    #plt.draw()
cid = fig.canvas.mpl_connect('button_press_event', onclick)
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