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Graphic update of a 3d python graph in a loop, grid line intersection points

I update the 3D scatter plot with each iteration of the loop. When the graph is redrawn, the grid lines “pass” or “cover” the points, which makes it difficult to visualize my data. If I build one 3D plot (without updating the cycle), this will not happen. The code below shows the simplest case:

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

X = np.random.rand(100, 3)*10
Y = np.random.rand(100, 3)*5

plt.ion()

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
ax.scatter(X[:, 0], X[:, 1], X[:, 2])
plt.draw()

for i in range(0, 20):
    time.sleep(3)   #make changes more apparent/easy to see

    Y = np.random.rand(100, 3)*5
    ax.cla()    
    ax.scatter(Y[:, 0], Y[:, 1], Y[:, 2])
    plt.draw()

Has anyone else encountered this problem?

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4 answers

It seems that MaxNoe is right in the sense that the problem is calling ax.cla()or plt.cla(). Actually this seems like a known issue .

, 3D- 3D- (a la sc.set_data(new_values)), ( ).

, , , .

:

datapoints _ofsets3d Line3DCollection, scatter.

:

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

X = np.random.rand(100, 3)*10
Y = np.random.rand(100, 3)*5

plt.ion()

fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
sc = ax.scatter(X[:, 0], X[:, 1], X[:, 2])
fig.show()

for i in range(0, 20):
    plt.pause(1)

    Y = np.random.rand(100, 3)*5

    sc._offsets3d = (Y[:,0], Y[:,1], Y[:,2])
    plt.draw()
+3

cla():

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')

x, y = np.meshgrid(np.linspace(-2,2), np.linspace(-2,2))

ax.plot_surface(x,y, x**2+y**2)
fig.savefig("fig_a.png")

ax.cla()
ax.plot_surface(x,y, x**2+y**2)

fig.savefig("fig_b.png")

: fig_afig_b

+2

, ax.cla(), MaxNoe. , , :

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
fig1 = plt.figure()
ax1 = fig1.add_subplot(111, projection='3d')

x, y = np.meshgrid(np.linspace(-2,2), np.linspace(-2,2))

ax1.plot_surface(x,y, x**2+y**2)
fig1.savefig("fig_a.png")

fig1.clf()
ax1 = fig1.add_subplot(111, projection='3d')
ax1.plot_surface(x,y, x**2+y**2)

fig1.savefig("fig_b.png")
+1

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

-2

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