import matplotlib.pyplot as plt
fig = plt.figure(figsize=(10, 10))
ax = fig.gca(fc='white', projection='3d')
x = [i for i in range(10)]
y = [2*i + 3 for i in range(10)]
z = [i**2 for i in range(10)]
#fouth dimension:
fourth_dim = [2* i**2 for i in range(10)]
colors = plt.cm.jet(fourth_dim)
ax.bar3d(x, y, 0, 1, 1, z, color= colors)
#colorbar creation:
colorMap = plt.cm.ScalarMappable(cmap=plt.cm.rainbow_r)
colorMap.set_array(fourth_dim)
colBar = plt.colorbar(colorMap).set_label('fourth dimension')
ax.set_xlabel("time")
ax.set_ylabel("distance")
ax.set_zlabel("cost")
plt.show()
通常,可以通过使用定义颜色数组
colors = plt.cm.jet(your_4th_dimension)
并将其应用到绘图中,如plot1 = ax.bar3d(X,Y,Z,dx,dy,dz, color= colors)
。由于您没有提供数据,下面是一个通用示例。在以下示例中,还创建了颜色栏:相关问题 更多 >
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