- Hello, World!
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吉天明 LV 10 @ 2017-11-27 18:21:58
import numpy as np
import matplotlib.pyplot as plt
x = np.linspace(-8 , 8, 1024)
y1 = 0.618*np.abs(x) - 0.8* np.sqrt(64-x**2)
y2 = 0.618*np.abs(x) + 0.8* np.sqrt(64-x**2)
plt.plot(x, y1, color = 'r')
plt.plot(x, y2, color = 'r')
plt.show()
4 条评论
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潘鹤文 LV 10 @ 2017-11-28 09:45:50
傻子
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@ 2017-11-28 09:45:50
傻子
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@ 2017-11-28 09:45:44
傻子
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@ 2017-11-27 18:22:53
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
from matplotlib import cm
from matplotlib.ticker import LinearLocator, FormatStrFormatter
import numpy as npfig = plt.figure()
ax = fig.gca(projection='3d')Make data.
X = np.arange(-5, 5, 0.25)
Y = np.arange(-5, 5, 0.25)
X, Y = np.meshgrid(X, Y)
R = np.sqrt(X**2 + Y**2)
Z = np.sin(R)Plot the surface.
surf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm,
linewidth=0, antialiased=False)Customize the z axis.
ax.set_zlim(-1.01, 1.01)
ax.zaxis.set_major_locator(LinearLocator(10))
ax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))Add a color bar which maps values to colors.
fig.colorbar(surf, shrink=0.5, aspect=5)
plt.show()
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