《Python数据可视化之matplotlib实践》 源码 第三篇 演练 第八章

import matplotlib.pyplot as plt
import numpy as np

plt.axes([0.05, 0.7, 0.3, 0.3], frameon=True, facecolor="y", aspect="equal")
plt.plot(np.arange(3), [0, 1, 0], color="blue", linewidth=2, linestyle="--")


plt.axes([0.3, 0.4, 0.3, 0.3], frameon=True, facecolor="y", aspect="equal")
plt.plot(2+np.arange(3), [0, 1, 0], color="blue", linewidth=2, linestyle="-")


plt.axes([0.55, 0.1, 0.3, 0.3], frameon=True, facecolor="y", aspect="equal")
plt.plot(4+np.arange(3), [0, 1, 0], color="blue", linewidth=2, linestyle=":")



plt.show()

import matplotlib.pyplot as plt
import numpy as np

plt.axes([0.05, 0.7, 0.3, 0.3], frameon=True, facecolor="y", aspect="equal")
plt.plot(np.arange(3), [0, 1, 0], color="blue", linewidth=2, linestyle="--")
plt.ylim(0, 1.5)
plt.axis("image")


plt.axes([0.3, 0.4, 0.3, 0.3], frameon=True, facecolor="y", aspect="equal")
plt.plot(2+np.arange(3), [0, 1, 0], color="blue", linewidth=2, linestyle="-")
plt.ylim(0, 1.5)
plt.axis([2.1, 3.9, 0.5, 1.9])

plt.axes([0.55, 0.1, 0.3, 0.3], frameon=True, facecolor="y", aspect="equal")
plt.plot(4+np.arange(3), [0, 1, 0], color="blue", linewidth=2, linestyle=":")
plt.ylim(0, 1.5)
plt.axis("off")


plt.show()

import matplotlib.pyplot as plt
import numpy as np

plt.axis([3, 7, -0.5, 3])
plt.plot(4+np.arange(3), [0, 1, 0], color="blue", linewidth=2, linestyle="-")


plt.show()

import matplotlib.pyplot as plt

ax1=plt.subplot(121)
ax1.set_xticks(range(0, 251, 50))

plt.grid(True, axis="x")







ax2=plt.subplot(122)
ax2.set_xticks([])
plt.grid(True, axis="x")




plt.show()

import matplotlib.pyplot as plt


ax1=plt.subplot(221)
plt.setp(ax1.get_xticklabels(), visible=True)
plt.setp(ax1.get_xticklines(), visible=True)
plt.grid(True, axis="x")




ax2=plt.subplot(222)
plt.setp(ax2.get_xticklabels(), visible=True)
plt.setp(ax2.get_xticklines(), visible=False)
plt.grid(True, axis="x")



ax3=plt.subplot(223)
plt.setp(ax3.get_xticklabels(), visible=False)
plt.setp(ax3.get_xticklines(), visible=True)
plt.grid(True, axis="x")


ax4=plt.subplot(224)
plt.setp(ax4.get_xticklabels(), visible=False)
plt.setp(ax4.get_xticklines(), visible=False)
plt.grid(True, axis="x")


plt.show()