import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import ImageGrid


def get_demo_image():
    import numpy as np
    from matplotlib.cbook import get_sample_data
    f = get_sample_data("axes_grid/bivariate_normal.npy", asfileobj=False)
    z = np.load(f)
    # z is a numpy array of 15x15
    return z, (-3, 4, -4, 3)

F = plt.figure(1, (5.5, 3.5))
grid = ImageGrid(F, 111,  # similar to subplot(111)
                 nrows_ncols=(1, 3),
                 axes_pad=0.1,
                 add_all=True,
                 label_mode="L",
                 )

Z, extent = get_demo_image()  # demo image

im1 = Z
im2 = Z[:, :10]
im3 = Z[:, 10:]
vmin, vmax = Z.min(), Z.max()
for i, im in enumerate([im1, im2, im3]):
    ax = grid[i]
    ax.imshow(im, origin="lower", vmin=vmin,
              vmax=vmax, interpolation="nearest")

plt.draw()
plt.show() 

　

Traceback (most recent call last):
  File "M:\_____\simple_axesgrid2.py", line 14, in 
    grid = ImageGrid(F, 111,  # similar to subplot(111)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: ImageGrid.__init__() got an unexpected keyword argument 'add_all' 

Traceback (most recent call last):
  File "E:\______\simple_axesgrid2.py", line 14, in 
    grid = ImageGrid(F, 111,  # similar to subplot(111)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: ImageGrid.__init__() got an unexpected keyword argument 'add_all' 

import matplotlib.pyplot as plt

from matplotlib import cbook
from mpl_toolkits.axes_grid1 import ImageGrid

fig = plt.figure(figsize=(5.5, 3.5))
grid = ImageGrid(fig, 111,  # similar to subplot(111)
                 nrows_ncols=(1, 3),
                 axes_pad=0.1,
                 label_mode="L",
                 )

# demo image
Z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")
im1 = Z
im2 = Z[:, :10]
im3 = Z[:, 10:]
vmin, vmax = Z.min(), Z.max()
for ax, im in zip(grid, [im1, im2, im3]):
    ax.imshow(im, origin="lower", vmin=vmin, vmax=vmax)

plt.show() 

M:\______\simple_axesgrid2_2.py:14: MatplotlibDeprecationWarning: 
    In a future release, get_sample_data will automatically load numpy arrays.  
    Set np_load to True to get the array and suppress this warning.  
    Set asfileobj to False to get the path to the data file and suppress this warning.
  Z = cbook.get_sample_data("axes_grid/bivariate_normal.npy")
Traceback (most recent call last):
  File "M:\______\simple_axesgrid2_2.py", line 16, in 
    im2 = Z[:, :10]
          ~^^^^^^^^
TypeError: '_io.BufferedReader' object is not subscriptable 

　Python 3.12.0 (matplotlib 3.8.1) では、正常に、実行できる。

　

• 2023/11/13 Ver=1.04 Python 3.12.0 (matplotlib 3.8.1)で確認
• 2023/11/13 Ver=1.04 Python 3.11.6 (matplotlib 3.7.1)で確認
• 2023/03/28 Ver=1.03 Python 3.11.2 で確認
• 2020/10/30 Ver=1.01 Python 3.7.8 で確認
• 2018/11/24 Ver=1.01 初版リリース

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