用Python显示3D散点图中点的坐标

Question

我想简单地显示这个3D散点上每个点的坐标和旁边的坐标。我看过这个：Matplotlib: Annotating a 3D scatter plot，但需要知道如何轻松获取并显示坐标。

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

fig = plt.figure() 
ax = fig.add_subplot(111, projection='3d') 


x = [1, 1, 2] 
y = [1, 1, 2] 
z = [1, 2, 2] 

a = [] 
b = [] 
c = [] 
for item in x: 
    a.append(float(item)) 
for item in y: 
    b.append(float(item)) 
for item in z: 
    c.append(float(item)) 
print(a, b, c) 

r = np.array(a) 
s = np.array(b) 
t = np.array(c) 

print(r, s, t) 

ax.set_xlabel("x axis") 
ax.set_ylabel("y axis") 
ax.set_zlabel("z axis") 

ax.scatter(r,s,zs = t, s=200, label='True Position') 
plt.show() 

谢谢。提供关于代码的更简单的介绍，这是很长的。任何关于缩短它的意见也会有帮助。

Answer 1

继mpl gallery的例子：

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

fig = plt.figure() 
ax = fig.add_subplot(111, projection='3d') 

# You can convert to float array in several ways 
r = np.array([1, 1, 2], dtype=np.float) 
s = np.array([float(i) for i in [1, 1, 2]]) 
t = np.array([1, 2, 2]) * 1.0 

ax.scatter(r,s,zs = t, s=200, label='True Position') 
for x, y, z in zip(r, s, t): 
    text = str(x) + ', ' + str(y) + ', ' + str(z) 
    ax.text(x, y, z, text, zdir=(1, 1, 1)) 

ax.set_xlabel("x axis") 
ax.set_ylabel("y axis") 
ax.set_zlabel("z axis") 

plt.show() 

您可以更改zdir给不同方向的文本。