plt.show() 不显示 3d 散点图

Question

community,

I tried to create the 3d scatter by using matplotlib Axes3D on jupyter notebook. However, it is not showing the image once I execute 'plt.show()'.

#pip install matplotlib
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
%matplotlib inline
fig = plt.figure()
ax =fig.add_subplot(111, projection = '3d')
x = dframe['CTR']
y = dframe['Clicks']
z = dframe['Avg. CPC']
ax.scatter(x, y, z, c='r', marker='o')
plt.show()

Answer 1

Your code works fine like this:

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

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

# dummy data (your actual data should go here)
x = [1, 2, 3, 4]
y = x
z = x
ax.scatter(x, y, z, c="r", marker="o")
plt.show()

This shows:

May be something is wrong with your data. Also, since you are using plt.show() anyway, you can remove the %matplotlib inline line.