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%matplotlib inline


    

In [2]:

    

import numpy as np
from scipy.misc import toimage

import matplotlib.pyplot as plt

plt.rcParams['figure.figsize'] = (7,7)


    

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def plot_img(images=None, true_labels=None, pred_labels=None):
    fig, axes = plt.subplots(3,3)
    fig.subplots_adjust(hspace=0.1, wspace=0.3)
    for i, ax in enumerate(axes.flat):
        #ax.imshow(toimage(images[i]))
        ax.imshow(images[i,:,:,0], cmap='binary')
        ax.set_xticks([])
        ax.set_yticks([])


    

In [59]:

    

data = np.load('images/fmg22_100.npy')
print data.shape
plot_img(images=data)


    

    




(64, 28, 28, 1)






    

In [58]:

    

data = np.load('images/img10_300.npy')
print data.shape
plot_img(images=data)


    

    




(64, 28, 28, 1)






    

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