Matplotlib.pyplot.sci() in Python

import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection
from matplotlib import colors as mcolors

import numpy as np

N = 50
x = np.arange(N)
 
ys = [x + i for i in x]
 
fig, ax = plt.subplots()
ax.set_xlim(0, 20)
ax.set_ylim(0, 20)
 
line_segments = LineCollection([np.column_stack([x, y]) for y in ys],
                               linewidths =(0.5, 1, 1.5, 2),
                               linestyles ='dashed', color ="#eeffdd")

line_segments.set_array(1/(x + 1))
ax.add_collection(line_segments)
line_segments.set_array(x)

plt.sci(line_segments)  
plt.title('matplotlib.pyplot.sci() Example')

plt.show()

import matplotlib.pyplot as plt
from matplotlib.collections import EventCollection
from matplotlib.collections import LineCollection
import numpy as np
 
np.random.seed(19680801)
xvalue = np.random.random([2, 10])
xvalue1 = xvalue[0, :]
xvalue2 = xvalue[1, :]
xvalue1.sort()
xvalue2.sort()
 
yvalue1 = xvalue1 ** 4
yvalue2 = 1 - xvalue2 ** 6
 
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.plot(xvalue1, yvalue1, color ='tab:blue')
ax.plot(xvalue2, yvalue2, color ='tab:green')
 
xresult1 = EventCollection(xvalue1, color ='tab:blue')
yresult1 = EventCollection(yvalue1, color ='tab:blue',
                           orientation ='vertical')
ax.add_collection(xresult1)
ax.add_collection(yresult1)

plt.sci(xresult1)  
plt.title('matplotlib.pyplot.sci() Example')

plt.show()