《Python数据可视化之matplotlib实践》 源码 第四篇 扩展 第十三章

图  13.10

 

 

import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np


mpl.rcParams["font.sans-serif"]=["SimHei"]
mpl.rcParams["axes.unicode_minus"]=False


fig, ax1 = plt.subplots()

t=np.arange(0.05, 10.0, 0.01)
s1=np.exp(t)
ax1.plot(t, s1, c="b", ls="-")
ax1.set_xlabel("x坐标轴")
ax1.tick_params("y", colors="b")



ax2=ax1.twinx()
s2=np.cos(t**2)
ax2.plot(t, s2, c="r", ls=":")

ax2.set_ylabel("余弦函数", color="r")
ax2.tick_params("y", colors="r")




plt.show()

 

 

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图  13.11

 

 

 

import matplotlib.pyplot as plt
import matplotlib as mpl
import numpy as np


mpl.rcParams["font.sans-serif"]=["SimHei"]
mpl.rcParams["axes.unicode_minus"]=False


fig, ax1 = plt.subplots()

t=np.arange(0.05, 10.0, 0.01)
s1=np.exp(t)
ax1.plot(t, s1, c="b", ls="-")
ax1.set_xlabel("x坐标轴")
ax1.tick_params("y", colors="b")



ax2=ax1.twinx()
s2=np.cos(t**2)
ax2.plot(t, s2, c="r", ls=":")

ax2.set_ylabel("余弦函数", color="r")
ax2.tick_params("y", colors="r")


plt.savefig("C:\\FIGURE_DEMO.png")


plt.show()

 

 

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