<p>如果我的意见不够清楚,请你问。:)</p>
<pre><code>from matplotlib import pyplot as plt
# Instanciating my lists...
f = lambda x:x**2
x = [nb for nb in range(1, 129)]
y = [f(nb) for nb in x]
# New values you want to plot, with linear spacing.
indexes_to_keep = [1, 2, 4, 8, 16, 32, 64, 128]
y_to_use = [y[nb - 1] for nb in indexes_to_keep]
# First plot that shows the 128 points as a whole.
fig = plt.figure(figsize=(10, 5.4))
ax1 = fig.add_subplot(121)
ax1.plot(x, y)
ax1.set_title('Former values')
# Second plot that shows only the indexes you wish to keep.
ax2 = fig.add_subplot(122)
# my_ticks = [1, 2, 3, 4, 5, 6, 7]
# meaning : my_ticks will be linear values.
my_ticks = [i for i in range(len(indexes_to_keep))]
# We set the ticks we want to show, meaning : all our list
# instead of some linear spacing matplotlib will show by default
ax2.set_xticks(my_ticks)
# Then, we manually change the name of the X ticks.
ax2.set_xticklabels(indexes_to_keep)
# We will then, plot the LINEAR x axis,
# but with respect to the y-axis values pre-processed.
ax2.plot(my_ticks, y_to_use)
ax2.set_title('New selected values with linear spacing')
plt.show()
</code></pre>
<p>正在显示。。。在</p>
<p><img src="https://i.imgur.com/KhTG9eM.png" alt="Imgur"/></p>