If you're okay with a fixed figure size, you can use plt.figaspect to set
this up fairly easily: (i.e. this will be incorrect as soon as you resize
the plot window)
import numpy as npimport matplotlib.pyplot as plt
nrows, ncols = 8, 12
dx, dy = 1, 2
figsize = plt.figaspect(float(dy * nrows) / float(dx * ncols))
fig, axes = plt.subplots(nrows, ncols, figsize=figsize)for ax in axes.flat:
data = np.random.random((10*dy, 10*dx))
ax.imshow(data, interpolation='none', cmap='gray')
pad = 0.05 # Padding around the edge of the figure
xpad, ypad = dx * pad, dy * pad
fig.subplots_adjust(left=xpad, right=1-xpad, top=1-ypad, bottom=ypad)
(From here, for reference:
If you need the spacing to remain constant as the figure size changes,
it's possible, but more complex. You may find it's easiest to use
draw callbacks in that case.
Hope that helps,
On Tue, Oct 30, 2018 at 4:44 PM Daniele Nicolodi <daniele at grinta.net> wrote:
I would like to arrange a number of square subplots (as in subplots with
square axes as obtained with `ax.axis('equal')`) in a grid such that the
distance between rows and columns is exactly the same.
I can use a GridSpec but, as soon as I ask for the axes to be square,
the distance between axes changes. Is there a way to enforce the equal
distances constrain (namely stretch the padding between the axes and the
margin of the figure but do not stretch the padding between axes) or the
only solution is to do it manually?
Thank you in advance.
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