To get the properties of picked objects in matplotlib 3d, we can take the following steps.
Steps
Set the figure size and adjust the padding between and around the subplots.
Create a new figure or activate an existing figure.
Add an 'ax' to the figure as part of a subplot arrangement.
Make a scatter plot of random data points.
Bind the function *pick_event_method* to the event *pick_event*.
Print x, y and z coordinates of the event.
To display the figure, use Show() method.
Example
import matplotlib.pyplot as plt
import numpy as np
plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
# Scatter plot
ax.scatter(np.random.rand(10), np.random.rand(10), np.random.rand(10), c=np.random.rand(10),
cmap='hot', picker=5, s=100)
# pick_event_method
def pick_event_method(event):
ind = event.ind[0]
x, y, z = event.artist._offsets3d
print(x[ind], y[ind], z[ind])
# Connect pick_event_method with pick_event
fig.canvas.mpl_connect('pick_event', pick_event_method)
plt.show()Output
It will produce the following output −
Now, click the objects from the plot and it will display the coordinates of those points on the console.
0.29471404722373373 0.7272382336952506 0.551701540876738 0.7393059098968329 0.880733225356321 0.20733995579556608 0.4055966753557102 0.9709122739514328 0.10116103589732084 0.2781962334047674 0.48531626106129566 0.8573607199598575