深入理解python Matplotlib库的高级特性

import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(0, 10, 100)
y = np.sin(x)
fig, ax = plt.subplots()  # 创建一个图形和一个轴对象
ax.plot(x, y)  # 在轴上绘制数据
ax.set_xlabel('x')
ax.set_ylabel('sin(x)')
ax.set_title('A Simple Plot')
plt.show()

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
x = np.random.rand(100)
y = np.random.rand(100)
sizes = 1000 * np.random.rand(100)
colors = np.random.rand(100)
cmap = mcolors.LinearSegmentedColormap.from_list("", ["red", "yellow", "green"])  # 自定义颜色映射
plt.style.use('ggplot')  # 使用自定义样式
plt.scatter(x, y, s=sizes, c=colors, cmap=cmap)  # 使用自定义颜色映射
plt.colorbar()  # 显示颜色条
plt.show()

import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
fig, ax = plt.subplots()
x = np.arange(0, 2*np.pi, 0.01)  # x值范围
line, = ax.plot(x, np.sin(x))  # 初始化一个图形
def animate(i):
    line.set_ydata(np.sin(x + i / 50.0))  # 更新图形
    return line,
ani = animation.FuncAnimation(
    fig, animate, interval=20, blit=True)  # 创建动态图形
plt.show()