Closed
Description
The following script and the image it produces illustrates the issue:
import numpy as np
from matplotlib import pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
fig, ax = plt.subplots()
imax = ax.imshow(np.random.random((200, 200)), extent=[0, 100, 0, 1], aspect=100)
divider = make_axes_locatable(ax)
cax = divider.append_axes("right", size="5%", pad="2%")
cb = fig.colorbar(imax, cax=cax)
As a workaround, I can produce the plot I'm looking for using ImageGrid:
import numpy as np
from matplotlib import pyplot as plt
from mpl_toolkits.axes_grid1 import ImageGrid
fig = plt.figure(1, (8, 4))
grid = ImageGrid(fig, 111, nrows_ncols = (1, 1), axes_pad=0.1, cbar_mode='single')
imax = grid[0].imshow(np.random.random((200, 200)), extent=[0, 100, 0, 1], aspect=100)
cax = grid.cbar_axes[0]
cb = fig.colorbar(imax, cax=cax)
I think this might be related to #3286. Not sure if it's an out and out duplicate or just another symptom of the same basic issue with make_axes_locatable.
Some version info:
numpy 1.9.2
matplotlib 1.4.3
python 2.7.9