I'm trying to make a square plot (using imshow), i.e. aspect ratio of 1:1, but I can't. None of these work:
import matplotlib.pyplot as plt ax = fig.add_subplot(111,aspect='equal') ax = fig.add_subplot(111,aspect=1.0) ax.set_aspect('equal') plt.axes().set_aspect('equal')
It seems like the calls are just being ignored (a problem I often seem to have with matplotlib).
Third times the charm. My guess is that this is a bug and Zhenya's answer suggests it's fixed in the latest version. I have version 0.99.1.1 and I've created the following solution:
import matplotlib.pyplot as plt import numpy as np def forceAspect(ax,aspect=1): im = ax.get_images() extent = im.get_extent() ax.set_aspect(abs((extent-extent)/(extent-extent))/aspect) data = np.random.rand(10,20) fig = plt.figure() ax = fig.add_subplot(111) ax.imshow(data) ax.set_xlabel('xlabel') ax.set_aspect(2) fig.savefig('equal.png') ax.set_aspect('auto') fig.savefig('auto.png') forceAspect(ax,aspect=1) fig.savefig('force.png')
This is 'force.png':
Below are my unsuccessful, yet hopefully informative attempts.
My 'original answer' below is overkill, as it does something similar to
axes.set_aspect(). I think you want to use
axes.set_aspect('auto'). I don't understand why this is the case, but it produces a square image plot for me, for example this script:
import matplotlib.pyplot as plt import numpy as np data = np.random.rand(10,20) fig = plt.figure() ax = fig.add_subplot(111) ax.imshow(data) ax.set_aspect('equal') fig.savefig('equal.png') ax.set_aspect('auto') fig.savefig('auto.png')
Produces an image plot with 'equal' aspect ratio: and one with 'auto' aspect ratio:
The code provided below in the 'original answer' provides a starting off point for an explicitly controlled aspect ratio, but it seems to be ignored once an imshow is called.
Here's an example of a routine that will adjust the subplot parameters so that you get the desired aspect ratio:
import matplotlib.pyplot as plt def adjustFigAspect(fig,aspect=1): ''' Adjust the subplot parameters so that the figure has the correct aspect ratio. ''' xsize,ysize = fig.get_size_inches() minsize = min(xsize,ysize) xlim = .4*minsize/xsize ylim = .4*minsize/ysize if aspect < 1: xlim *= aspect else: ylim /= aspect fig.subplots_adjust(left=.5-xlim, right=.5+xlim, bottom=.5-ylim, top=.5+ylim) fig = plt.figure() adjustFigAspect(fig,aspect=.5) ax = fig.add_subplot(111) ax.plot(range(10),range(10)) fig.savefig('axAspect.png')
This produces a figure like so:
I can imagine if your having multiple subplots within the figure, you would want to include the number of y and x subplots as keyword parameters (defaulting to 1 each) to the routine provided. Then using those numbers and the
wspace keywords, you can make all the subplots have the correct aspect ratio.
What is the
matplotlib version you are running? I have recently had to upgrade to
1.1.0, and with it,
add_subplot(111,aspect='equal') works for me.