【Python】3次元モデルのプロット

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

x = np.arange(-3,3,0.25)
y = np.arange(-3,3,0.25)
X,Y = np.meshgrid(x,y)
Z = np.sin(X) + np.cos(Y)

fig = plt.figure()
ax = Axes3D(fig)
ax.plot_wireframe(X,Y,Z)

plt.show()

参考
d.hatena.ne.jp

散乱図のプロット

from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np

a = [0.0,0.0,0.0]
b = [0.1,0.1,0.1]
c = [1.0,1.0,1.0]
d = [0.9,0.8,0.7]
e = [1.0,0.0,0.0]
f = [0.9,0.1,0.1]
k = np.array([a,b,c,d,e,f])
X = k[:,0]
Y = k[:,1]
Z = k[:,2]

fig = plt.figure()
ax = Axes3D(fig)
ax.scatter3D(X,Y,Z)
plt.show()

X=k[:,0]のように記述できるのは

k = array([[・,・,・],
           [・,・,・],
           ..........,
           [・,・,・]])

のような形をしているからである.