How to make class for onclick(event) functions for Interactive plot in matplotlib?

I have tried to create an interactive matplotlib plot using some functions. I want to group the functions into one class (I am still new to this, took help from someone else's code)

'''

import matplotlib.pyplot as plt


def draw_line(startx,starty):
        
    ax = plt.gca()
    xy = plt.ginput(1)
    x = [startx,xy[0][0]]
    y = [starty,xy[0][1]]
    line = ax.plot(x,y, picker=True , pickradius = 5 , color = "blue")
    ax.figure.canvas.draw()        


def onclick(event):
    
    """
    This implements click functionality.  If it's a double click do something,
    else ignore.
    Once in the double click block, if its a left click, wait for a further 
    click and draw a line between the double click co-ordinates and that click
    (using ginput(1) - the 1 means wait for one mouse input - a higher number
    is used to get multiple clicks to define a polyline)
    """
    ax = plt.gca()
    
    if event.dblclick:
        if event.button == 1:
            # Draw line
            draw_line(event.xdata,event.ydata) # here you click on the plot
        else:
            pass # Do nothing
        
    if event.button == 1:
        pass


def onpick(event):    

    ax = plt.gca()
    
    """
    
    Handles the pick event - if an object has been picked, store a
    reference to it.  We do this by simply adding a reference to it
    named 'stored_pick' to the axes object.  Note that in python we
    can dynamically add an attribute variable (stored_pick) to an 
    existing object - even one that is produced by a library as in this
    case
    
    """
    
    this_artist = event.artist  # the picked object is available as event.artist
    ax.picked_object = this_artist

def on_key(event):
    
    """
    Function to be bound to the key press event
    If the key pressed is delete and there is a picked object,
    remove that object from the canvas
    """
    
    if event.key == u'delete':
        ax = plt.gca()
        if ax.picked_object:
            ax.picked_object.remove()
            ax.picked_object = None
            ax.figure.canvas.draw()


def applyplt():

    fig = plt.gcf()
    ax = plt.gca()
    
    cidonclic = fig.canvas.mpl_connect('button_press_event', onclick)
    cidonpic = fig.canvas.mpl_connect('pick_event', onpick)
    cidonkey = fig.canvas.mpl_connect('key_press_event', on_key)
    
"""
Basic Plot to test the function.
"""
    
fig1 = plt.figure(figsize = (10,10))
gs = fig1.add_gridspec(10,10)
ax101 = fig1.add_subplot(gs[:,:])
ax101.set_ylim(0,10)
ax101.set_xlim(0,10)

applyplt()

plt.show()

'''

I want to group these event functions in one class name(object): ( e.g. : class Drawer(object): ) If any other optimization can be done, please suggest that too. Thanks!

from How to make class for onclick(event) functions for Interactive plot in matplotlib?