如果我的意見不夠清楚，請(qǐng)你問。：)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()

正在顯示。。。在

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