两个子图的单个颜色条可更改其中一个子图的大小

Question

我试图在这里和这里主要使用代码colorbar为两个添加一个。matshow

我的代码如下，但是问题是颜色条会缓和右侧图的大小。我该如何预防？

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
# Generate some data that where each slice has a different range
# (The overall range is from 0 to 2)
data = np.random.random((2,10,10))
data *= np.array([1.5, 2.0])[:,None,None]

# Plot each slice as an independent subplot
fig, axes = plt.subplots(nrows=1, ncols=2)
for dat, ax in zip(data, axes.flat):
    # The vmin and vmax arguments specify the color limits
    im = ax.imshow(dat, vmin=0, vmax=2)

# Make an axis for the colorbar on the right side
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad=0.05)
fig.colorbar(im, cax=cax)
plt.tight_layout()
plt.show()

Answer 1

Matplotlib 2 Subplots, 1 Colorbar的答案中有几种方法。最后一个最简单，但对我不起作用（imshow 图的大小相同，但都比颜色条短）。您还可以在图像下运行颜色栏：

import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
data = np.random.random((2,10,10))
data *= np.array([1.5, 2.0])[:,None,None]

fig, axes = plt.subplots(nrows=1, ncols=2)
for dat, ax in zip(data, axes.flat):
     im = ax.imshow(dat, vmin=0, vmax=2)

fig.colorbar(im,  ax=axes.ravel().tolist(), orientation='horizontal')
plt.show()