0

I am trying to plot a series of character that have been segmented, each character has the same height but a relative width dependant on if the segmentation was successful. However, this changing width is affecting the height of the subplot. Is there a way to make each of these subplots the same shape? I have tried each of the following:

plt.axis('equal')
plt.axis('scaled')
width_ratios=[3, 1], height_ratios=[4, 1]
gridspec_kw={'width_ratios': [3, 1]}

enter image description here

enter image description here

fig, ax = plt.subplots(1, len(i))
for x in range (0, len(i)):
    ax[x].imshow(i[x])
    plt.savefig("img")

Thanks in advance

EDIT 1: Suggested by @Jody Klymak

ax[x].set_xlim([0, 40])
ax[x].set_ylim([0, 50])

enter image description here

EDIT 2: Suggested by @a11 I implemented your suggestion and it appears to have no effect. enter image description here

fig, ax = plt.subplots(1, len(i), sharey=True, figsize=(10,10))
for x in range (0, len(i)):
    ax[x].imshow(i[x])
    ax[x].set_aspect(aspect='equal')

EDIT 3:

i values:

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Adam
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4 Answers4

0

I would just give them the same limits:

import matplotlib.pyplot as plt
import numpy as np

fig, axs = plt.subplots(1, 2)
axs[0].imshow(np.ones((15, 3)))
axs[1].imshow(np.ones((3, 15)))

for ax in axs:
    ax.set_xlim([0, 15])
    ax.set_ylim([0, 15])

plt.show()
Jody Klymak
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  • This sort of fixes it, however, there is now masses of white space in each plot and it seems to miss align them too. I've edited the post to see the result (Edit #1). You can see the final character 'P' is no longer aligned and 'MN' I have no idea what's going on – Adam Feb 01 '21 at 17:31
0

Another approach is to put all the images in one big axes:

import matplotlib.pyplot as plt
import numpy as np

data = [np.ones((15, 3)), np.ones((3, 15))]

fig, ax = plt.subplots()
rh = 0
for A in data:
    M, N = A.shape
    ax.imshow(A, extent=(rh, rh + N, 0, M))
    rh += 1 + N

ax.set_xlim(0, rh)
ax.set_ylim(0, 15)
plt.show()

You can probably figure out how to change extent if you would like the baseline shifted somehow.

Jody Klymak
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0

This talks about using aspect="auto" so I did:

imshow(i[x], aspect="auto") 

for each of the subplots which makes all the subplots the same size as the largest one. This has the desired outcome, however, it does become slightly unreadable.

for x in range (0, len(i)):
    ax[x].imshow(i[x], aspect="auto")

enter image description here enter image description here

So instead I made a function to calculate an aspect ratio for turning each image into the smallest size.

def getAspectRatio(i):
    shapes = []
    #Get the width of each image
    for x in range(0, len(i)):
        shapes.append(i[x].shape[1])
    #Find the max width
    m = max(shapes)
    ratios = []
    #Add each ratio to the list
    for x in range(0, len(i)):
        ratios.append(i[x].shape[1] / m)
    
    return ratios

ar = getAspectRatio(i)
for x in range (0, len(i)):
    ax[x].imshow(i[x], aspect=ar[x])

enter image description here enter image description here

Adam
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0

I might be misunderstanding something, but will something this simple work? The subplots are defined or built such that the y-axis limits are shared and the same in all subplots. The figure size is also defined when building the subplots, so you can control the dimensions of the final "page." Then in the loop, each subplot is set to equal aspect, so that should make the letters legible.

fig, axes = plt.subplots(1, 6, figsize=(10,10), sharey=True)
for ii, ax in enumerate(axes.flat):
    axes[ii].imshow(np.random.random((20,10)))
    ax.set_aspect(aspect='equal')

enter image description here

Updated with more info from OP: A quick but perhaps unsatisfying solution is just to specify the figure size in a way that is a proxy for aspect ratio. Here, I use a figure that is twice as long as tall.

fig, axes = plt.subplots(1, len(i), figsize=(10,5), sharey=True)
for nn, ax in enumerate(axes.flat):
    axes[nn].imshow(i[nn])
    ax.set_aspect(aspect='auto')

enter image description here

a11
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  • I implemented it as suggested (Edit #2). Didn't seem to have an effect on the plot. – Adam Feb 01 '21 at 22:17
  • bummer; any chance you can share the `i` data, I am curious now – a11 Feb 01 '21 at 22:27
  • Its a frame taken from a video of a screen, I could send you the frame if that would suffice? – Adam Feb 01 '21 at 23:17
  • Although thinking about it, you'd have to perform segmentation on it. I suppose i could just send you a hard coded array of the values – Adam Feb 01 '21 at 23:20
  • no, that wouldn't work; the idea would be to have a semi-replicable, fully contained example dataset and problem statement to work with, instead of doing a random array – a11 Feb 01 '21 at 23:20
  • Would a hardcoded array work? If so I can comment it on tomorrow – Adam Feb 01 '21 at 23:24
  • that should work, try adding that tomorrow if you don't get any good answers before then – a11 Feb 01 '21 at 23:27
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    See edit 3, I could only add the one example unfortunately – Adam Feb 02 '21 at 09:38