Change resolution of imshow in ipython

Question

I am using ipython, with a code that looks like this:

image = zeros(MAX_X, MAX_Y)

# do something complicated to get the pixel values...
# pixel values are n         


        

Answer 1

The height and width of the displayed image on the screen is controlled by the figure size and the axes size.

figure(figsize = (10,10)) # creates a figure 10 inches by 10 inches

Axes

axes([0,0,0.7,0.6]) # add an axes with the position and size specified by 
                    # [left, bottom, width, height] in normalized units. 

Larger arrays of data will be displayed at the same size as smaller arrays but the number of individual elements will be greater so in that sense they do have higher resolution. The resolution in dots per inch of a saved figure can be be controlled with the the dpi argument to savefig.

Here's an example that might make it clearer:

import matplotlib.pyplot as plt
import numpy as np

fig1 = plt.figure() # create a figure with the default size 

im1 = np.random.rand(5,5)
ax1 = fig1.add_subplot(2,2,1) 
ax1.imshow(im1, interpolation='none')
ax1.set_title('5 X 5')

im2 = np.random.rand(100,100)
ax2 = fig1.add_subplot(2,2,2)
ax2.imshow(im2, interpolation='none')
ax2.set_title('100 X 100')

fig1.savefig('example.png', dpi = 1000) # change the resolution of the saved image

# change the figure size
fig2 = plt.figure(figsize = (5,5)) # create a 5 x 5 figure 
ax3 = fig2.add_subplot(111)
ax3.imshow(im1, interpolation='none')
ax3.set_title('larger figure')

plt.show()

The size of the axes within a figure can be controlled in several ways. I used subplot above. You can also directly add an axes with axes or with gridspec.