這是一段演示使用matplotlib繪制曲線圖的代碼，具體查看增加的注釋，可以繪制出上圖效果

# 導(dǎo)入使用的庫(kù)

import matplotlib.pyplot as plt

from matplotlib.collections import EventCollection

import numpy as np

# 設(shè)置隨機(jī)數(shù)種子

np.random.seed(19680801)

# 創(chuàng)建隨機(jī)數(shù)

xdata = np.random.random([2, 10])

# 分隔數(shù)據(jù)為兩部分

xdata1 = xdata[0, :]

xdata2 = xdata[1, :]

# 數(shù)據(jù)排序，繪制清晰的曲線

xdata1.sort()

xdata2.sort()

# 創(chuàng)建y軸點(diǎn)數(shù)據(jù)

ydata1 = xdata1 ** 2

ydata2 = 1 - xdata2 ** 3

# 繪制數(shù)據(jù)

fig = plt.figure()

ax = fig.add_subplot(1, 1, 1)

ax.plot(xdata1, ydata1, 'r', xdata2, ydata2, 'b')

# 創(chuàng)建標(biāo)記x數(shù)據(jù)點(diǎn)的事件

xevents1 = EventCollection(xdata1, color=[1, 0, 0], linelength=0.05)

xevents2 = EventCollection(xdata2, color=[0, 0, 1], linelength=0.05)

# 創(chuàng)建標(biāo)記y數(shù)據(jù)點(diǎn)的事件

yevents1 = EventCollection(ydata1, color=[1, 0, 0], linelength=0.05,

orientation='vertical')

yevents2 = EventCollection(ydata2, color=[0, 0, 1], linelength=0.05,

orientation='vertical')

# 增加事件到坐標(biāo)

ax.add_collection(xevents1)

ax.add_collection(xevents2)

ax.add_collection(yevents1)

ax.add_collection(yevents2)

# 設(shè)置坐標(biāo)上限

ax.set_xlim([0, 1])

ax.set_ylim([0, 1])

ax.set_title('line plot with data points')

# 顯示繪制的圖形

plt.show()