example.py

# -*- coding: utf-8 -*-
"""
Created on Wed Sep 20 19:45:08 2017

@author: ESTERIFIED
"""
import matplotlib.pyplot as plt


def plot_images(images, cls_true, cls_pred=None):
    assert len(images) == len(cls_true) == 4
    
    # Create figure with 3x3 sub-plots.
    fig, axes = plt.subplots(2, 2)
    fig.subplots_adjust(hspace=0.3, wspace=0.3)

    for i, ax in enumerate(axes.flat):
        # Plot image.
        ax.imshow(images[i].reshape(320,320), cmap='gray')

        # Show true and predicted classes.
        if cls_pred is None:
            xlabel = "True: {0}".format(cls_true[i])
        else:
            xlabel = "True: {0}, Pred: {1}".format(cls_true[i], cls_pred[i])

        # Show the classes as the label on the x-axis.
        ax.set_xlabel(xlabel)
        
        # Remove ticks from the plot.
        ax.set_xticks([])
        ax.set_yticks([])
    
    # Ensure the plot is shown correctly with multiple plots
    # in a single Notebook cell.
    plt.show()