如何使用matlib函数plt.imshow(image)显示多个图像? [英] How do I use the matlib function plt.imshow(image) to display multiple images?

问题描述

def exiacc():
    global my_img, readimg , im, list_name, exis_img, tkimage
    print('Opening Existing Account...')
    topl = Toplevel()  
    readimg = './facedata/'
    list_img = os.listdir(readimg)
    row, col = 0, 0
    k = 0
    for fn in os.listdir(readimg):
        if fn.endswith('.jpg'):
            list_name.append(fn[:fn.index('_')])
            im = Image.open(os.path.join(readimg, fn))
            im2 = im.resize((200, 200), Image.LANCZOS)
            tkimage = ImageTk.PhotoImage(im2)
            exis_img = Label(topl, image=tkimage)
            exis_img.grid(row = row + 1, column = col + 1, padx=2, pady=2)
            exis_name = Label(topl, text = list_name[k] , font = ("consolas", 12, "bold"))
            exis_name.grid(row=row + 2, column = col + 1, padx=2, pady=2)
            col += 1
            k +=1
            if col == 5:
                row += 2
                col = 0

我的结果表明，只有最后处理过的图像才能有效覆盖其他图像.

My results show that only the last processed image is shown effectively overwriting the other images.

推荐答案

一个直接的解决方案是改用plt.subplots:

A straight forward solution would be to use plt.subplots instead:

import numpy as np
import matplotlib.pyplot as plt

lst_cmaps = ['Greys', 'Purples', 'Blues', 'Greens', 'Oranges', 'Reds',
         'YlOrBr', 'YlOrRd', 'OrRd', 'PuRd', 'RdPu', 'BuPu',
         'GnBu', 'PuBu', 'YlGnBu', 'PuBuGn']

data = ((np.arange(100) % 10) * np.arange(100)).reshape(10, 10)

nxn = int(np.sqrt(len(lst_cmaps)))

plt, ax = plt.subplots(nxn, nxn)

for i, ax_ in enumerate(ax.flatten()):
    ax_.imshow(data, cmap=lst_cmaps[i])

这会给你一个这样的图像:

This gives you an image like this:

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