《Python数据可视化:matplotlib源码扩展篇》第十三章源码实践如何深入?

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本文共计338个文字,预计阅读时间需要2分钟。

《Python数据可视化:matplotlib源码扩展篇》第十三章源码实践如何深入?

pythonimport matplotlib.pyplot as pltimport matplotlib as mplimport numpy as npmpl.rcParams['font.sans-serif']=['SimHei']mpl.rcParams['axes.unicode_minus']=Falsefig, ax1=plt.subplots()t=np.arange(0.05, 10.0, 0.01)s1=np.exp(t)

图 13.10

《Python数据可视化:matplotlib源码扩展篇》第十三章源码实践如何深入?



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()

View Code



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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()

View Code



----------------------------------------------------------------------


本文共计338个文字,预计阅读时间需要2分钟。

《Python数据可视化:matplotlib源码扩展篇》第十三章源码实践如何深入?

pythonimport matplotlib.pyplot as pltimport matplotlib as mplimport numpy as npmpl.rcParams['font.sans-serif']=['SimHei']mpl.rcParams['axes.unicode_minus']=Falsefig, ax1=plt.subplots()t=np.arange(0.05, 10.0, 0.01)s1=np.exp(t)

图 13.10

《Python数据可视化:matplotlib源码扩展篇》第十三章源码实践如何深入?



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()

View Code



----------------------------------------------------------------------



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()

View Code



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