Python: draw multiple figures in separate windows (same data but with different X range)

I wonder how to plot data in separate figures (not multiple figures in one window). The issue is that I want to visualize the data along different X range. For example:

import numpy as np
import pandas as pd
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
X=np.linspace(0,100,num=1000)
Y=X**2-X
fig=plt.figure()
plt.plot(X,Y)
matplotlib.pyplot.xlim([0, 50])
plt.show()
fig=plt.figure()
plt.plot(X,Y)
matplotlib.pyplot.xlim([50, 100])
plt.show()

Here I get two separate figures. But I did the plt.plot() for the same data repeatedly. It can take time if the data is big.

You can limit the range of data to plot, not only the viewing interval. To this end you may introduce a condition and filter the arrays to plot by that condition.

import numpy as np
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt

X=np.linspace(0,100,num=1000)
Y=X**2-X

ranges = [[0, 50], [50, 100]]

for r in ranges:
    cond = (X >= r[0]) & (X <= r[1])
    fig=plt.figure()
    plt.plot(X[cond],Y[cond])
    plt.xlim(r)

plt.show()