Matplotlib Fixed subplot plot height

Question

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]}

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])

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

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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Jody Klymak · Accepted Answer · 2021-02-01 17:23:02Z

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()

answered Feb 1, 2021 at 17:23

Jody Klymak

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1 Comment

Adam Over a year ago

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

Jody Klymak · Accepted Answer · 2021-02-01 17:56:28Z

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.

answered Feb 1, 2021 at 17:56

Jody Klymak

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Comments

Adam · Accepted Answer · 2021-02-01 20:59:00Z

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")

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])

a11 · Accepted Answer · 2021-02-02 16:52:40Z

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')

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')

edited Feb 2, 2021 at 16:52

answered Feb 1, 2021 at 21:07

a11

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8 Comments

Adam Over a year ago

I implemented it as suggested (Edit #2). Didn't seem to have an effect on the plot.

a11 Over a year ago

bummer; any chance you can share the i data, I am curious now

Adam Over a year ago

Its a frame taken from a video of a screen, I could send you the frame if that would suffice?

Adam Over a year ago

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 Over a year ago

See edit 3, I could only add the one example unfortunately

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