from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt
from matplotlib import cm

fig = plt.figure()
ax = fig.gca(projection='3d')
X, Y, Z = axes3d.get_test_data(0.05)
cset = ax.contourf(X, Y, Z, cmap=cm.coolwarm)
ax.clabel(cset, fontsize=9, inline=1)

plt.show() 

　

Traceback (most recent call last):
  File "M:\______\contourf3d_demo.py", line 6, in 
    ax = fig.gca(projection='3d')
         ^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: FigureBase.gca() got an unexpected keyword argument 'projection' 

Traceback (most recent call last):
  File "E:\______\contourf3d_demo.py", line 6, in 
    ax = fig.gca(projection='3d')
         ^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: FigureBase.gca() got an unexpected keyword argument 'projection' 

"""
===============
Filled contours
===============

`.Axes3D.contourf` differs from `.Axes3D.contour` in that it creates filled
contours, i.e. a discrete number of colours are used to shade the domain.

This is like a `.Axes.contourf` plot in 2D except that the shaded region
corresponding to the level c is graphed on the plane ``z=c``.
"""

import matplotlib.pyplot as plt

from matplotlib import cm
from mpl_toolkits.mplot3d import axes3d

ax = plt.figure().add_subplot(projection='3d')
X, Y, Z = axes3d.get_test_data(0.05)
ax.contourf(X, Y, Z, cmap=cm.coolwarm)

plt.show() 

　Python 3.11.6 (matplotlib 3.7.1) 及び Python 3.12.0 (matplotlib 3.8.1) 共に、正常実行です。

　

• 2023/11/19 Ver=1.04 Python 3.12.0 (matplotlib 3.8.1)で確認
• 2023/11/19 Ver=1.04 Python 3.11.6 (matplotlib 3.7.1)で確認
• 2023/03/31 Ver=1.03 Python 3.11.2 で確認
• 2020/10/30 Ver=1.01 Python 3.7.8 で確認
• 2018/11/28 Ver=1.01 初版リリース

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