Resize a figure automatically in matplotlib
PythonMatplotlibPython Problem Overview
Is there a way to automatically resize a figure to properly fit contained plots in a matplotlib/pylab image?
I'm creating heatmap (sub)plots that differ in aspect ratio according to the data used.
I realise I could calculate the aspect ratio and manually set it, but surely there's an easier way?
Python Solutions
Solution 1 - Python
Use bbox_inches='tight'
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
X = 10*np.random.rand(5,3)
fig = plt.figure(figsize=(15,5),facecolor='w')
ax = fig.add_subplot(111)
ax.imshow(X, cmap=cm.jet)
plt.savefig("image.png",bbox_inches='tight',dpi=100)
...only works when saving images though, not showing them.
Solution 2 - Python
Another way of doing this is using the matplotlib tight_layout function
import matplotlib.pyplot as plt
fig,(ax) = plt.subplots(figsize=(8,4), ncols=1)
data = [0,1,2,3,4]
ax.plot(data)
fig.tight_layout()
fig.show()
Solution 3 - Python
just use aspect='auto' when you call imshow
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
X = 10*np.random.rand(5,3)
plt.imshow(X, aspect='auto')
it works even if it is just for showing and not saving
Solution 4 - Python
you can try using axis('scaled')
import matplotlib.pyplot as plt
import numpy
#some dummy images
img1 = numpy.array([[.1,.2],[.3,.4]])
img2 = numpy.array([[.1,.2],[.3,.4]])
fig,ax = plt.subplots()
ax.imshow(img1,extent=[0,1,0,1])
ax.imshow(img2,extent=[2,3,0,1])
ax.axis('scaled') #this line fits your images to screen
plt.show()
Solution 5 - Python
Do you mean changing the size of the image or the area that is visable within a plot?
The size of a figure can be set with Figure.set_figsize_inches. Also the SciPy Cookbook has an entry on changing image size which contains a section about multiple images per figure.
Also take a look at this question.
Solution 6 - Python
Also possible to use ax.autoscale with ax object
ax.autoscale(enable=True)