How to display images in a row with IPython display?

user_1171620 0
Viewed 25146

If I execute the following command:

for file in files:
    display(Image(filename=os.path.join(folder,file)))

I get a list of images in a column:

enter image description here

How to put them in a row (horizontally)?

ipython python
5 Answers

An alternative solution using Jupyter built-in facilities (IPython.display and ipywidgets):

from IPython.display import display
from ipywidgets import widgets, HBox

imageA = widgets.Image(value=open('path/to/image/a.jpg', 'rb').read())
imageB = widgets.Image(value=open('path/to/image/b.jpg', 'rb').read())

hbox = HBox([imageA, imageB])
display(hbox)

# optional: you can show more hboxes, boxes will be arranged vertically
display(anotherHbox) # 2nd
display(yetAnotherHbox) # 3rd
display(andAnotherHbox) # 4th

References:

Be careful that IPython display module also has Image class, which is different from widgets.Image and not compatible with HBox.

user_25852250

This is an improvement to AkiRoss's answer. This gives more flexiblility on how you display and avoids repeating the function for every row by displaying in a grid format.

import matplotlib.pyplot as plt

def grid_display(list_of_images, list_of_titles=[], no_of_columns=2, figsize=(10,10)):

    fig = plt.figure(figsize=figsize)
    column = 0
    for i in range(len(list_of_images)):
        column += 1
        #  check for end of column and create a new figure
        if column == no_of_columns+1:
            fig = plt.figure(figsize=figsize)
            column = 1
        fig.add_subplot(1, no_of_columns, column)
        plt.imshow(list_of_images[i])
        plt.axis('off')
        if len(list_of_titles) >= len(list_of_images):
            plt.title(list_of_titles[i])

Parameters:

  • list_of_images - a list containing all images you want to display.
  • list_of_titles - a list containing all titles of image in the same order.
  • no_of_columns - number of columns in the grid.
  • figsize - the size of each row to prevent squashing. (horizontal_size, vertical_size).

Example:

import cv2
import matplotlib.pyplot as plt

img = cv2.imread("files/tiger_monkey.jpg")
grey_img = cv2.imread("files/tiger_monkey_grey.png")

img_b, img_g, img_r = cv2.split(img)
grey_img_b, grey_img_g, grey_img_r = cv2.split(grey_img)

combi_one = cv2.merge((img_b, grey_img_g, img_r))
combi_two = cv2.merge((grey_img_b, grey_img_g, img_r))
combi_three = cv2.merge((img_b, img_g, grey_img_r))
combi_four = cv2.merge((grey_img_b, img_g, img_r))
combi_five = cv2.merge((grey_img_b, img_g, grey_img_r))
combi_six = cv2.merge((img_b, grey_img_g, grey_img_r))

titles = ["combi_one", 
          "combi_two", 
          "combi_three", 
          "combi_four",
          "combi_five", 
          "combi_six"]
images = [combi_one, 
          combi_two,
          combi_three,
          combi_four,
          combi_five,
          combi_six]

images = [cv2.cvtColor(image, cv2.COLOR_BGR2RGB) for image in images]   
grid_display(images, titles, 3, (10,10))

Original images:

user_64019480
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