Multiple figures in a single window

You should use subplot.

In your case, it would be something like this (if you want them one on top of the other):

fig = pl.figure(1)
k = 1
for title in figures:
    ax = fig.add_subplot(len(figures),1,k)
    ax.imshow(figures[title])
    ax.gray()
    ax.title(title)
    ax.axis('off')
    k += 1

Check out the documentation for other options.

You can define a function based on the subplots command (note the s at the end, different from the subplot command pointed by urinieto) of matplotlib.pyplot.

Below is an example of such a function, based on yours, allowing to plot multiples axes in a figure. You can define the number of rows and columns you want in the figure layout.

def plot_figures(figures, nrows = 1, ncols=1):
    """Plot a dictionary of figures.

    Parameters
    ----------
    figures : <title, figure> dictionary
    ncols : number of columns of subplots wanted in the display
    nrows : number of rows of subplots wanted in the figure
    """

    fig, axeslist = plt.subplots(ncols=ncols, nrows=nrows)
    for ind,title in enumerate(figures):
        axeslist.ravel()[ind].imshow(figures[title], cmap=plt.gray())
        axeslist.ravel()[ind].set_title(title)
        axeslist.ravel()[ind].set_axis_off()
    plt.tight_layout() # optional

Basically, the function creates a number of axes in the figures, according to the number of rows (nrows) and columns (ncols) you want, and then iterates over the list of axis to plot your images and adds the title for each of them.

Note that if you only have one image in your dictionary, your previous syntax plot_figures(figures) will work since nrows and ncols are set to 1 by default.

An example of what you can obtain:

import matplotlib.pyplot as plt
import numpy as np

# generation of a dictionary of (title, images)
number_of_im = 6
figures = {'im'+str(i): np.random.randn(100, 100) for i in range(number_of_im)}

# plot of the images in a figure, with 2 rows and 3 columns
plot_figures(figures, 2, 3)

If you want to group multiple figures in one window you can do smth. like this:

import matplotlib.pyplot as plt
import numpy as np


img = plt.imread('C:/.../Download.jpg') # Path to image
img = img[0:150,50:200,0] # Define image size to be square --> Or what ever shape you want

fig = plt.figure()

nrows = 10 # Define number of columns
ncols = 10 # Define number of rows
image_heigt = 150 # Height of the image
image_width = 150 # Width of the image


pixels = np.zeros((nrows*image_heigt,ncols*image_width)) # Create 
for a in range(nrows):
    for b in range(ncols):
        pixels[a*image_heigt:a*image_heigt+image_heigt,b*image_heigt:b*image_heigt+image_heigt] = img
plt.imshow(pixels,cmap='jet')
plt.axis('off')
plt.show()

As result you receive: