"""
=======================
Plot 2D data on 3D plot
=======================

Demonstrates using ax.plot's zdir keyword to plot 2D data on
selective axes of a 3D plot.
"""

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

fig = plt.figure()
ax = fig.gca(projection='3d')

# Plot a sin curve using the x and y axes.
x = np.linspace(0, 1, 100)
y = np.sin(x * 2 * np.pi) / 2 + 0.5
ax.plot(x, y, zs=0, zdir='z', label='curve in (x,y)')

# Plot scatterplot data (20 2D points per colour) on the x and z axes.
colors = ('r', 'g', 'b', 'k')
x = np.random.sample(20*len(colors))
y = np.random.sample(20*len(colors))
c_list = []
for c in colors:
    c_list.append([c]*20)
# By using zdir='y', the y value of these points is fixed to the zs value 0
# and the (x,y) points are plotted on the x and z axes.
ax.scatter(x, y, zs=0, zdir='y', c=c_list, label='points in (x,z)')

# Make legend, set axes limits and labels
ax.legend()
ax.set_xlim(0, 1)
ax.set_ylim(0, 1)
ax.set_zlim(0, 1)
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')

# Customize the view angle so it's easier to see that the scatter points lie
# on the plane y=0
ax.view_init(elev=20., azim=-35)

plt.show() 

$ py 2dcollections3d_demo.py
Traceback (most recent call last):
  File "/opt/rh/rh-python36/root/usr/lib64/python3.6/site-packages/matplotlib/colors.py",
  line 158, in to_rgba
    rgba = _colors_full_map.cache[c, alpha]
    TypeError: unhashable type: 'list'

    During handling of the above exception, another exception occurred:

    Traceback (most recent call last):
  File "/opt/rh/rh-python36/root/usr/lib64/python3.6/site-packages/matplotlib/axes/_axes.py",
    line 4210, in scatter
    colors = mcolors.to_rgba_array(c)
  File "/opt/rh/rh-python36/root/usr/lib64/python3.6/site-packages/matplotlib/colors.py",
    line 259, in to_rgba_array
    result[i] = to_rgba(cc, alpha)
  File "/opt/rh/rh-python36/root/usr/lib64/python3.6/site-packages/matplotlib/colors.py",
    line 160, in to_rgba
    rgba = _to_rgba_no_colorcycle(c, alpha)
  File "/opt/rh/rh-python36/root/usr/lib64/python3.6/site-packages/matplotlib/colors.py",
  line 211, in _to_rgba_no_colorcycle
    raise ValueError("Invalid RGBA argument: {!r}".format(orig_c))
ValueError: Invalid RGBA argument: ['r', 'r', 'r', 'r', 'r', 'r', 'r', 'r', 'r', 'r', 'r', 'r',
  'r', 'r', 'r', 'r', 'r', 'r', 'r', 'r']

    During handling of the above exception, another exception occurred:

    Traceback (most recent call last):
  File "2dcollections3d_demo.py", line 31, in 
    ax.scatter(x, y, zs=0, zdir='y', c=c_list, label='points in (x,z)')
  File "/opt/rh/rh-python36/root/usr/lib64/python3.6/site-packages/mpl_toolkits/mplot3d/axes3d.py",
  line 2294, in scatter
    patches = super().scatter(xs, ys, s=s, c=c, *args, **kwargs)
  File "/opt/rh/rh-python36/root/usr/lib64/python3.6/site-packages/matplotlib/__init__.py",
  line 1785, in inner
    return func(ax, *args, **kwargs)
  File "/opt/rh/rh-python36/root/usr/lib64/python3.6/site-packages/matplotlib/axes/_axes.py",
  line 4231, in scatter
    .format(c)
ValueError: 'c' argument must either be valid as mpl color(s) or as numbers to be mapped 
  to colors. Here c = [['r', 'r', 'r', 'r', 'r', 'r', 'r', 'r', 'r', 'r', 'r', 'r', 'r', 'r',
  'r', 'r', 'r', 'r', 'r', 'r'], ['g', 'g', 'g', 'g', 'g', 'g', 'g', 'g', 'g', 'g', 'g', 'g',
  'g', 'g', 'g', 'g', 'g', 'g', 'g', 'g'], ['b', 'b', 'b', 'b', 'b', 'b', 'b', 'b', 'b', 'b',
  'b', 'b', 'b', 'b', 'b', 'b', 'b', 'b', 'b', 'b'], ['k', 'k', 'k', 'k', 'k', 'k', 'k', 'k',
  'k', 'k', 'k', 'k', 'k', 'k', 'k', 'k', 'k', 'k', 'k', 'k']].  

Traceback (most recent call last):
  File "M:\______\2dcollections3d_demo.py", line 15, in 
    ax = fig.gca(projection='3d')
         ^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: FigureBase.gca() got an unexpected keyword argument 'projection' 

Traceback (most recent call last):
  File "E:\______\2dcollections3d_demo.py", line 15, in 
    ax = fig.gca(projection='3d')
         ^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: FigureBase.gca() got an unexpected keyword argument 'projection' 

"""
=======================
Plot 2D data on 3D plot
=======================

Demonstrates using ax.plot's *zdir* keyword to plot 2D data on
selective axes of a 3D plot.
"""

import matplotlib.pyplot as plt
import numpy as np

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

# Plot a sin curve using the x and y axes.
x = np.linspace(0, 1, 100)
y = np.sin(x * 2 * np.pi) / 2 + 0.5
ax.plot(x, y, zs=0, zdir='z', label='curve in (x, y)')

# Plot scatterplot data (20 2D points per colour) on the x and z axes.
colors = ('r', 'g', 'b', 'k')

# Fixing random state for reproducibility
np.random.seed(19680801)

x = np.random.sample(20 * len(colors))
y = np.random.sample(20 * len(colors))
c_list = []
for c in colors:
    c_list.extend([c] * 20)
# By using zdir='y', the y value of these points is fixed to the zs value 0
# and the (x, y) points are plotted on the x and z axes.
ax.scatter(x, y, zs=0, zdir='y', c=c_list, label='points in (x, z)')

# Make legend, set axes limits and labels
ax.legend()
ax.set_xlim(0, 1)
ax.set_ylim(0, 1)
ax.set_zlim(0, 1)
ax.set_xlabel('X')
ax.set_ylabel('Y')
ax.set_zlabel('Z')

# Customize the view angle so it's easier to see that the scatter points lie
# on the plane y=0
ax.view_init(elev=20., azim=-35, roll=0)

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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